Recent initiatives in grain market reform also appear to be particularly encouraging

Despite the gains in market performance in recent years, WTO makes demands on China’s domestic agricultural markets. Domestic marketing policy response to the nation’s impending WTO accession has been substantial and will continue. Major changes are aimed at improving the efficiency of domestic market performance and minimizing the adverse shocks that may arise from external trade liberalization. Perhaps more than in any other sector, the reforms in cotton and grain markets that China agreed to in the final stages of China’s WTO negotiation clearly show that its leaders are using this opportunity to develop its health domestic agricultural market. The case of cotton presents a good example. In 1999, officials began experimenting in the North China Plain with marketing reforms for cotton, frequently considered the second most important strategic agricultural commodity . The reforms were aimed at improving cotton market performance by reducing market transaction costs, creating a market-oriented pricing mechanism, and integrating regional markets. The main policy measure sought to eliminate the current monopolized state-own cotton procurement and distribution system. In part reflecting the fact that informal markets had already been working for many years, the disruption to cotton markets after liberalization were almost non-existent. With a successful performance of this experimental reform, the liberalization policy was expanded substantially in 2000 and fully implemented in 2001. Domestically, over the past two decades state-owned grain traders have chronically performed poorly due to imperfect incentives and a number of taxing policy burdens. Although many companies have received considerable marketing subsidies,ebb flow bench the losses of these firms have always been a burden on the national leaders.

Moreover, although it had appeared reformers had solved this problem in the mid-1990s, retrenchments in agricultural policy created a situation in which many state-owned grain companies were still losing money in the late 1990s. Internationally, there were also concerns over several commonly executed policies that are now being addressed. For example, WTO negotiators expressed their opinion that China’s traditional ways of pricing agriculture were distorting. Others believe that the rights of state owned grain trading enterprises to procure commodities from farmers under special access rights give certain domestic firms unfair access and violates national treatment principles of WTO. Facing these pressures and concerns, China has launched a new set of reforms in the area of state grain marketing system in 2000. Building on past efforts to liberalize markets and continuing with the tradition of moving gradually, many believe that the measures included in this round are ultimately expected to have a defining influence on China’s grain markets in the years to come. As part of the first step, the restrictions on grain procurement for lower quality grains such as the early indica rice and maize in southern China, spring wheat in northern China, and all wheat in southern China were phased out in 2000. After the policy was set in place, any trader was allowed to buy or sell grain from any farmer or other trader at any time. Almost immediately this policy resulted in an adjustment in the structure of the cropping patterns in some regions. In the last several years, producers have begun planting varieties to improve grain quality. Many of these improvement will mean that to some extent China’s farmers are in a more competitive position to produce and sell varieties that might otherwise come in from foreign sources, for example, high quality rice from Thailand or high quality wheat from Canada or the US. With successful performance of grain “varietal” reform in 2000, leaders are now going to officially liberalize grain markets. Depending on the deregulation of all grain-related procurement and sales, leaders are first implementing their policies in a subset of grain-deficit, coastal provinces, Zhejiang, Jiangsu, Shanghai, Fujian, Guangdong, and Hainan. Currently, the government is planning to extend the implementation of the policies in all grain deficit provinces in 2002.

As seen in the past, given such close ties between traders in surplus and deficit areas, such policies in deficit areas will almost certainly naturally envelope all of China. In response to WTO accession, the government also have ambitious plans to increase investment in market infrastructure. Leaders see a need to establish an effective national marketing information network. Officials in the ministry of agriculture are attempting to standardize agricultural product quality and promote farm marketing. Some also have advocated the creation of agricultural technology associations. More generally, all of these moves are part of an effort by leaders to shift fiscal resources that used to be used to support China’s expensive price subsidization schemes to productivity-enhancing investments and marketing infrastructure improvements. The magnitude of this policy response is highlighted by the fact that the total subsidies for price and market interventions reached 40.3 billion in 2000, about 4 percent of national fiscal budget, more than any components of government expenditure in agricultural and rural area of bureaucrats that manage China’s agricultural policies, 93 billion on integrated agricultural development program, and 12.3 billion on poverty alleviation–CNSB, 2001. While not all of these funds were being used on distorting policies or non-productive administration, much of it was. If a good part of the funds is able to be redirected into more productive areas, there is a chance that the agricultural sector can be energized by this new windfall. The policy implications of China’s WTO accession on land use and farm organization also are hotly debated. Many of the concerns have arisen over the ability of China’s small farms to be able to compete after trade liberalization. Although every farm household in China is endowed with land, the average farm size is small, and declining . Leaders are pleased with the equity effects of the nation’s distribution of land as it allays concerns about food security and poverty. Land fragmentation and the extremely small scale of farms, however, almost certainly will in some way constrain the growth of labor productivity on the farm and hold back farm income.

The debate has centered on these issues: Some argue that farm size could be expanded and agricultural productivity could rise if policy makers were to advocate more secure land tenure arrangements. Others call for a continuation of policies that allow localities to periodically re-allocated land to the farmers in order to keep land in the hands of all rural residents. Although most policy makers currently seem to favor more secure rights, they still are searching for complementary measures that will not forego all of the pro-equity benefits of the current land management regime. Land ownership in rural areas, by law, is collectively owned by the village or small group and contracted to households . One of the most important changes in recent years has been that the duration of the use contract was extended from 15 to 30 years. By 2000, about 98% of villages had amended their contract with farmers to reflect the longer set of use rights . Although some were concerned that household and village demographics and other policy pressures often induce local authorities to reallocate land prior to contract expiration, it has been shown that the area of this reallocated land has been minimal and the effect on investment behavior insignificant . With the issue of use rights, resolved, the government is now searching for a mechanism that permits the remaining full-time farmers to gain access additional cultivated land and increase their income and competitiveness. One of the main efforts revolves around the development of a new Rural Land Contract Law. The Standing Committee of the National People’s Congress has drafted a law and the main body is expected to approve it in the near future. According to this law, although the property rights over the ownership of the land remains with the collective, the Law conveys almost all other rights to the contract holder that they would have under a private property system. In particular, the Law clarifies the rights for transfer and exchange of the contracted land, an element that may already be taking effect as researchers are finding increasing more land in China is rented in and out . The new legislation also allows farmers to use contracted land for collateral to secure commercial loan. Part of the law also allows family members to inherit the land during the contracted period. The goal of this new set of policies is to encourage farmers to use their land to increase their farms and household short and long-run productivity. Although quite controversial,4x8ft rolling benches the effort to increase China’s agricultural productivity under trade liberalization also is made through the promotion of large farm enterprises. Many officials in the MOA consider this effort as one of important forces that may help to restructuring China’s agriculture, expand agricultural markets, and increase farmer income. Recently fiscal authorities have supported this effort by making grants and allowing tax reductions for the infrastructure investments of the farms. They also have provided large farms with credit subsidies for input procurement and the financing of their efforts to update their technology at all levels of the food change . As a result of China’s WTO accession, the support in this area is expected to increase. However, more effort in the future is likely to shift to supplying services that are supposed to be provided by government in areas such as farm infrastructure development, technology adoption, and extension, rather than direct intervention and subsidy. As subsidies through agricultural investment and inputs in China are subject to WTO restrictions on Aggregate Market Support , it is not expected that the extent of these subsidies will restrict such support. China will be limited to its support of large farms to levels that do not exceed its de minimis level of AMS of 8.5%.

However, it is much more likely that its ability to finance agricultural subsidies will be more binding than the WTO-imposed rules. The other major attempt to increase farm productivity and agricultural competitiveness under trade liberalization is to promote the development of farmer organizations. The government has now officially cast its support for self-organized farmer groups that focus agricultural technology and marketing . At one time, the creation of farmer organization was a political sensitive issue. Leaders were concerned with the rise of any organization outside the government’s authority. Such restrictions, however, caused a dilemma in reforming the nation’s agricultural and rural economies. Policy makers also are aware that with the small scale of China’s farms there are many increases in economic efficiency that might be gained by the creation of effective rural organizations and that if they were successful in raising incomes, there might be a rise in political stability.It is on this basis, then, that leaders have now decided to allow the organization of China’s 240 million farms. Letting these millions of small farmers competing in a market with globalization requires substantial institutional reforms on farm organization and provisions of government service such as technology extension and marketing information and quality controls. It will be in these areas that farmer organizations will be encouraged. In addition, these types of farm organizations that are supported by the government fall under WTO’s “Green Box” categorization and investments to create such groups will not be counted as part of the nation’s AMS measures. Perhaps more than anything, the government is going to need these farmer organizations to lead the fight against the imposition of trade barriers on China’s agricultural exports. Because China’s producers have not been organized, when foreign countries, such as Japan, Korea, and the US have levied trade barriers, typically citing dumping. Even when such cases were based on questionable bases, China had no one who had an incentive or ability to contest the cases. Since China Provisions of anti-dumping and safeguards measures against China’s products, such cases will not abate and the nation needs to have a way to protect the interest of those seeking to export.The financial sector has reformed more slowly than some other sector, and government maintains strong control . Among the commitments regarding the banking sector, the Protocol requires China to open the country’s financial markets in a step by step way. The liberalization must allow foreign competition across wider and wider regions and customer base. After a four years transition period, all regional restrictions will be removed and foreign banks will receive national non-discriminative treatment in the area of banking services. Specifically, restrictions on branch banking can not be imposed.

Each block has an agricultural office that is led by a Block Agricultural Officer

None of these studies consider whether engaging the supply side of the market can increase adoption by farmers. Survey data in agriculture suggest that input suppliers act as the second most popular source of information for Indian farmers. Informing private input suppliers about technological benefits is one way to take advantage of their intrinsic motivation to spread information. Yet, it has not been looked at as source of potential information agents with well-aligned incentives in promoting the adoption of new technologies. Our paper is the first to implement and test this as a new approach to doing agricultural extension.The rest of this paper is organized as follows. Section 2 gives more background information on the setting and outlines the experiment. Section 3 describes the data collection. Section 4 presents the main results on how targeting agricultural extension to input dealers increases technology adoption by farmers, particularly those with the highest potential benefit. Section 5 turns to analyzing a potential explanation for this result. Particularly, it focuses on whether dealers spread information to their customers and what motivates them to do so. Section 6 concludes. This section starts by providing background information on the standard methods used in agricultural extension. It also gives a description of how the public sector delivers information to farmers in our particular study area. We then outline the design of our main experiment to compare these standard methods with the more business-oriented approach of using agrodealers as information agents. Governments all over the world support agricultural extension services as a mode of information delivery. Ministries of agriculture typically have entire departments dedicated to providing these services. These departments oversee local administrative offices that hire front line extension agents whose role is to diffuse information about new agricultural technologies and practices to farmers.

The specific techniques used by agents vary across contexts, but the basic methods are largely consistent,indoor garden especially in poor countries. Agents usually work with selected “contact farmers” who are keen on trying new approaches and are ideally able to transmit knowledge to others in their social networks. They also organize farmer field days with cluster demonstration plots, where new seeds are grown by multiple farmers, to boost the diffusion of information. The public sector provides agricultural extension services for at least two reasons. First, markets do not exist for many new innovations. For instance, a new planting method may only be promoted by government agents because there is no scope for profiting from its sale in private markets. This contrasts with new seed varieties or material inputs that are produced and sometimes marketed by private firms. Second, many agricultural innovations are not developed, and hence not marketed, by private firms. Public entities such as national agricultural research systems or international research organizations frequently develop new seeds, inputs, and agricultural management practices. The public extension service then transmits information about these developments to farmers. In the context of our experiment, agricultural extension workers use many of these standard techniques. Each of the 10 districts in the sample is organized into blocks, where a block has an average of 135 villages.The BAO employs Assistant Agricultural Officers and Village Agricultural Workers who work in the field with farmers. Our sample consists of 72 blocks in 10 flood-prone districts of Odisha.We selected these areas because the technology being promoted — a flood-tolerant rice variety called Swarna-Sub1 — is most suitable for flood-affected areas.

The blocks in the sample represent around 20 percent of the blocks in the state. We randomly assigned 36 of these blocks to the treatment group where agrodealers were targeted to receive seeds and information. This randomization was stratified by district. The remaining 36 blocks serve as a comparison group where we supported the government extension service to carry out normal extension activities. Figure 1 displays the timeline of these interventions. Starting in May 2016 — about 6-8 weeks before planting time — we partnered with the government’s extension service to introduce Swarna-Sub1 into control blocks. We did this in a way that mirrors three common practices in agricultural extension. First, field staff provided 10 seed minikits of 5 kilograms each to the BAO, who then helped identify contact farmers to use the kits. The BAO chose 2 villages and 5 farmers in each village. Each kit contained only seeds for testing and some basic information about Swarna-Sub1. Our field staff then delivered the kits to the recommended farmers. Second, we provided another 150 kg of seeds to the BAO so that he could set up a cluster demonstration where the seeds would be used by several farmers on a contiguous set of plots. Based on seeding rates in the region, 150 kg allows for cultivation of 5-10 acres. The BAO chose where to do the demonstration and which farmers to target. Official government guidelines for organizing these clusters suggest that they be carried out in sites that are easily accessible to be viewed by many farmers. Moreover, sites should be representative of average conditions in the area. Third, we helped the BAO carry out a farmer field day in November — at the time right before harvest. The BAO selected the location of the field day and whom to invite. The purpose of the field day was for extension staff to train farmers about Swarna-Sub1, share information from the demonstrations, and hope that information will spread throughout the block. The objective of such an active control group is twofold. First, it ensures that each block is endowed with the same quantity of seeds. Therefore, the dealer-based treatment only differs on who received the new seeds and information. Second, the demonstrations and partnerships with contact farmers may not have taken place without our involvement. Forcing these activities to happen makes the treatment-control comparison more meaningful. Most importantly, it sets a higher bar for the dealer-based treatment by eliminating any possibility that the new technology would not be promoted by the government extension service.

Turning to the 36 treatment blocks, we obtained a list of 2,087 seed suppliers from the state Department of Agriculture. These include suppliers of two types: private seed dealers and Primary Agricultural Cooperative Societies . PACS are farmer groups that handle credit, seed supply, and procurement of output for farmers. We did not include them in the intervention because their incentives are not the same as those of private dealers. Seed sales are usually handled by a member that is not the residual claimant on any profits from the sale. Despite being fewer in number relative to PACS, private dealers account for almost 60 percent of the seeds sold to farmers. The sample consists of 666 private dealers, 327 of which were located in the treatment blocks. Armed with this list, our field staff entered each treatment block and located five dealers interested in receiving seed minikits and an informational pamphlet about SwarnaSub1. In some blocks fewer than 5 dealers were available. We provided additional seed to each dealer in these cases to guarantee that a full 200 kilograms were introduced. The list provided by the Department of Agriculture did not have enough locatable dealers in some cases. In these circumstances, our field staff provided the seeds to other local agrodealers.Overall, seeds and information were provided to 151 dealers across the 36 treatment blocks.119 of these were from the original list. Once provided with seeds and information, the dealers were left alone to decide how to use them. We asked dealers about their intended uses. They overwhelmingly stated that they would use the seeds for testing on their own farms and would provide them to good customers for testing.Our intervention did not include any additional assistance to dealers. This differs from standard methods in agricultural extension where agents continually revisit their contact farmers. We allowed dealers to learn on their own because in theory they should be motivated to learn about a new product that could enhance their business. The goal of our treatment is to measure whether this motivation causes information to flow to farmers and ultimately increases adoption. Not intervening further ensures that our treatment effect is driven by any real-world incentives dealers have to learn, rather than heavy monitoring by our partners. Dealers in our sample are small business entrepreneurs. Some operate out of their homes, while others maintain shops in rural towns. 44 percent of dealers sell only seeds,hydroponic farming with fertilizers and pesticides being the most common inputs sold by the other dealers. Dealers are highly local. The median dealer sells enough rice seed to cover roughly 400 acres, which amounts to the rice area cultivated by 150 farmers.Importantly, dealers tend to serve the same customers from year to year. Another important feature of our context is that 84% of the seeds sold by dealers in our sample are produced by the state-run Odisha State Seed Corporation . Government subsidies explain this. Seeds produced by the state are subsidized at a rate of approximately 40 percent. No subsidies exist for seeds produced by private companies. As licensed agents, dealers receive a fixed commission that amounts to about 8 percent of the pre-subsidy price. All varieties have the same final price for farmers. Thus, the margin for dealers is the same across all types of varieties. Hence dealers have no direct financial incentive to sell one variety over another. Turning to the second season , we ran an SMS messaging experiment to compare our intervention with this “lighter touch” information treatment.

The random delivery of SMS messages allows us to test whether our dealer treatment substitutes basic knowledge that can be easily transmitted via ICT technology. Furthermore, it allows us to compare the direct effects of the two approaches. The messaging was simple. It informed farmers that Swarna-Sub1 is a new variety that is suitable for medium-low land in terms of elevation, matures in 145 days, and can tolerate up to two weeks of flooding. The message also stated that it was being produced by OSSC and could be available at local dealers. As a sampling frame, we obtained mobile numbers for 75,616 farmers that had registered for the state government’s Direct Benefit Transfer scheme to obtain seed subsidies.These farmers are located across the 261 gram panchayats that cover our main estimation sample, as outlined below. The SMS treatment was randomized at the gram panchayat level, resulting in messages being delivered to 37,783 of the names on the list.We anticipated that dealers and contact farmers would use the demonstration minikits for learning in 2016 and any possible treatment effects could first be detected during year two . Our main followup survey therefore took place in August-September 2017 — around 15 months after the interventions. Its purpose was to measure adoption of seed varieties by rice farmers. To minimize measurement error, we timed the survey to be right after planting. Our sample consists of 7,200 farmers. These farmers were drawn from a random sample of 261 gram panchayats — an administrative unit usually consisting of around 8 villages.Before drawing this sample, we excluded gram panchayats that had any village within 1.5 kilometers of the block boundary.We removed these areas to reduce any interference caused by farmers possibly obtaining seeds from other blocks. The 261 sample gram panchayats had 75,616 farmers registered for the DBT program for seed subsidies. Using this database as a sampling frame, we randomly drew 100 farmers from each block . These farmers are spread across 1,333 villages. Figure A1 shows their geographic dispersion across the 10 districts in the experiment. Survey teams succeeded in locating and surveying 6,653 of the farmers. Of these, 93 percent were currently cultivating rice. Table A1 shows no significant differences in the probabilities of being surveyed or growing rice between treatment and control groups. The survey focused on which seed varieties were currently being used for rice cultivation. Surveyors went through a list of 30 varieties and asked farmers which ones they were currently using and the amount of land being grown.In addition to these adoption data, we obtained information on contacts with agricultural extension agents during the last year, topics discussed during these conversations, whether the farmer had seen any seed demonstrations, and whether they had recently learned about Swarna-Sub1.

Relations between the indigenous and refugee varied from friendly to outright hostile

Those with no money whatsoever were given an allowance and low interest loans subsidized by SOPRO, and housing that the society had leased provided the refugees with much needed shelter. Society funds also paid for the establishment of a twenty-bed hospital and a small home and kindergarten for the children in the capital city. To the southeast of the capital, in the city of Cochabamba, elevation 8,500 feet, SORPRO established a home for the elderly and a sanatorium for those seeking relief from the extreme altitude of the capital.Agricultural training centers were set up to teach refugees the rudiments of farming in a semitropical and tropical environment. Many had no notion of what it meant to work the land; their ranks were filled with professionals such as chemists, engineers, lawyers and physicians. Indeed, in a letter to Hochschild, the Joint’s Paul Baerwald emphasized the importance of success, yet Baerwald also had his deep-seated doubts. “Jewish farm settlement is a much more difficult problem than settlement of peasants.” The Jewish refugee needed both acclimatization and ‘psycho-physiological retraining and readjustment’ Baerwald emphasized. Indeed, besides acclimatizing, one also had to acculturate to a largely indigenous populace, people whose customs and food were exotic in the extreme.There existed elements of the Bolivian population who viewed the newcomers as trespassers who took work from the native, that the displaced refugee was creating the displaced native. Yet there were those who also proffered the hand of friendship in the dynamic relationship between foreigner and native. However, cordial relationships between the refugee and the native could not make up for the shortcomings of the settlement plan. The scholar León E. Bieber lists the factors that led to the abandonment of Buena Tierra,plant benches and notes that a combination of reasons was responsible for its ultimate failure. Among them were the “negligencia en la selección de los inmigrantes.” Many ofthe refugees were professionals, and during the interview process had lied about their backgrounds and level of experience as farmers.

The pressure to escape the Nazis and save one’s life was just too much; hence there were physicians, engineers and other professionals who had falsely claimed an agricultural background. Other key reasons that Bieber noted were the “factores topográficos, la calidad de las tierras, la precaria estructura vial boliviana y la falta de adecuado apoyo.” The sheer isolation of Buena Tierra and the Yungas was due to a paucity of roads and railroad lines into the region. Had this transportation network infrastructure been in place, Buena Tierra may have prospered.The quality of the land and soil at Buena Tierra was hyped by the agronomist Bonoli, who, it turned out, “was profoundly mistaken.”Bieber cited the lack of sufficient government help as another factor that contributed to Buena Tierra’s demise. To achieve success it was essential to have, besides aid from Jewish philanthropies, the full support of the Bolivian Government. Finally, most of the refugees viewed Buena Tierra, and the host country Bolivia, as a stepping stone to other, more enticing locales such as the United States or Argentina, two American countries with thriving Jewish communities. We can debate the failure of the ‘experiments’ at Sosúa and Buena Tierra, yet there was for sure relative success. Both colonies were founded as places of refuge for thousands of involuntary emigrants fleeing the violence of their homeland. The fact that some refugees were able to escape the Nazi death-grip and begin life anew as farmers in distant lands underscores that very success. In retrospect, both projects had achieved their original goal of saving lives, and have left a model from which one may draw conclusions regarding their failure or a success. The model of agricultural settlement that Rosen successfully used for the Ukraine and Crimea, proved to be difficult to transfer to Bolivia and the Dominican Republic. In spite of Rosen’s agronomist background, Rosenberg’s well-placed connections and professional experience as a lawyer, Hochschild’s wealth, and the help of the military man and Bolivian president Germán Busch, the success of these Jewish agricultural colonies was never assured. It all came down to the individual efforts of a few hardy souls and the collective will of many others behind the scenes. Although the same development model was used among the settlements discussed herein, it is clear that what had worked at one site failed miserably at others.

Competent administration, experimentation with different crops, a willing and able work force, along with the use of cutting-edge technology did not, by any stretch of the imagination, guarantee success. A fascist megalomaniac, a couple of third world dictators, a beloved U.S. President, a Jewish mining magnate and a cast of others, made for some very strange bedfellows indeed. Remove one of these historic figures from the equation, and neither Sosúa nor Buena Tierra would have seen the light of day.As human-converted habitats expand over Earth’s surface, the fate of global biodiversity will depend increasingly on the quality and characteristics of farming landscapes . Agricultural systems vary widely in their ability to support biodiversity, with many species extirpated from some but sustained in others . Additionally, characteristics of the species themselves, evolved over millions of years, may predispose some lineages to benefit from human environmental impacts . Phylogenetic diversity, the total evolutionary history or phylogenetic branch lengths of all species in a community , is recognized as having intrinsic conservation value . Also, ecological experiments in small plots indicate that communities with more phylogenetic diversity are more stable , possess higher productivity , and support more species at other trophic levels . Despite the known impact of agriculture on species loss, how habitat conversion affects phylogenetic diversity remains unknown. Studies of plants and invertebrates have established that local environmental disturbances favor subsets of closely related clades and often result in phylogenetic diversity loss . Further, some studies that examine the global extinction risk of birds and mammals suggest that particular branches of the tree of life are at greater risk than others , although whether evolutionarily distinct species are more at risk than species with many living relatives remains contested . We quantified changes in phylogenetic diversity across multiple landscapes in Costa Rica, combining a recent complete avian phylogeny with temporally and spatially extensive tropical bird censuses to assess how habitat conversion is restructuring the avian phylogeny . The data set comprised 44 transects, surveyed in wet and dry seasons over 12 years across four regions in two biomes .

Transects were located in three land-use types: forest reserves, diversified agricultural systems, and intensive mono cultures. Compared with intensive mono cultures, diversified agricultural systems had more crop types, complex configurations of vegetation, and substantial surrounding tree cover . Our analysis focused on three unresolved questions. First, do certain bird clades thrive in agriculture, or is this capacity broadly distributed across the tree of life? Second, how much phylogenetic diversity is lost when native forest is replaced with agriculture? Last, are evolutionarily distinct species capable of persisting in agriculture? We found that clades from across the bird phylogeny thrived in agriculture . Affinity for different habitats showed phylogenetic signal, meaning that closely related species were more likely to share habitat preferences than species that were distantly related . The phylogenetic signal was best described by using Pagel’s lambda transformation of the phylogeny , which reduces the degree of correlation of traits between species below the Brownian motion expectation . Although most taxonomic families had species associated with all habitat types, some families tended to affiliate with particular habitats. For example, pigeons, seedeaters, swallows, and blackbirds were agriculture-affiliated,rolling bench whereas trogons, antbirds, ovenbirds, and manakins were forest-affiliated . Despite the variety of lineages that were found in agriculture, average within transect phylogenetic diversity was 40% lower in intensive mono cultures than in forest reserves and 15% lower in diversified agricultural systems than in forest reserves . Across all transects and years, forest reserves, diversified agricultural systems, and intensive mono cultures housed 4.10, 3.85, and 3.26 billion years of evolutionary history. Two processes were responsible for changes in phylogenetic diversity: species loss and increasing species relatedness. We found roughly the same number of bird species in diversified agricultural systems as in forest reserves [N = 62 species; likelihood ratio test P = 0.75] but half as many species in intensive mono cultures . However, species loss alone did not account for declining phylogenetic diversity in agriculture . Species in forest reserves were less related to one another than expected by chance, whereas species in diversified agricultural systems and intensive mono cultures were more closely related . These patterns indicate that phylogenetic diversity loss in agriculture occurs in two steps. First,habitat conversion from forest to diversified agricultural systems causes a shift in community composition while maintaining species richness: Agricultural species are not nested subsets of forest species . Because species in diversified agricultural communities are closely related, this shift results in a moderate decline in phylogenetic diversity within a transect. Then, as agricultural practices intensify, species loss from this agricultural bird community causes another more-substantial decline in phylogenetic diversity. Whether phylogenetic diversity loss will substantially reshape the global tree of life depends on the capability of species from evolutionarily distinct lineages to persist in agricultural lands. We quantified each species’ evolutionary distinctness as its contribution to the phylogenetic diversity of the world’s 9993 bird species . Species in forest reserves had slightly greater average evolutionary distinctness than those in diversified agricultural systems or intensive mono cultures . This pattern did not result from a small number of highly distinct, forest affiliated species—repeating the analysis after removing the top 10% most distinct species did not alter results .

Conversely, communities in intensive mono cultures hosted younger species with more-rapid diversification rates  . At the species level after accounting for phylogenetic covariance, DR was negatively correlated with forest affiliation and positively correlated with affinity for diversified agricultural systems . To explore how habitat conversion affects the temporal population dynamics and local extirpation risks of evolutionarily distinct species, we developed a temporal, multi-species, hierarchical occupancy model that accounted for detection bias . The model provided a dynamic assessment of which species were extirpated from and/or recolonized sites at the greatest rates from year to year . Extirpation was estimated as the probability that a species did not persist from one year to the next, whereas colonization was the probability that a species was absent one year but present the next. We modeled occupancy dynamics over 12 years, validating our model through examining dry and wet season surveys separately. We found that extirpation probability was highest in intensive mono cultures and lowest in forest reserves . More evolutionarily distinct species experienced higher extirpation rates than less-distinct species in both diversified agricultural systems and intensive mono cultures. Evolutionarily distinct species fared worst in intensive mono cultures, where the top 10% most distinct species experienced extirpation rates ~two times greater than in diversified agricultural systems. Between-year colonization probabilities were low in all land-use types, but evolutionarily distinct species colonized both diversified agricultural systems and intensive mono cultures less frequently than less-distinct species . Repeating analyses at the genus level confirmed that the results were not driven by a few clades. These findings suggest that, over time, evolutionarily distinct species will face challenges in maintaining populations in agricultural systems, especially in intensive mono cultures. We offer two possible explanations for why evolutionarily distinct species and phylogenetic diversity should decline in agriculture. First, species that today inhabit tropical agriculture may have evolved primarily in open habitats, such as grasslands. During geologically recent periods of glaciation when open grassland habitats in the Neotropics proliferated , several clades may have undergone increased speciation , leading to the enrichment of younger species in agriculture . Indeed, we found that species that use natural open habitats were more likely to thrive in agriculture . However, whereas species associated with savannas had slightly higher diversification rates than other species , there were no consistent differences in diversification rates between species that use natural open habitats and those that do not . Another explanation is that birds in agriculture represent a novel community.

The recruitment of refugees with an agricultural background proved to be almost impossible

Meanwhile, the proposals to consolidate oversight and implement regulations in a clear way will accommodate smaller firms and researchers, who do not have legal staff or experience with handling federal regulations. These stakeholders will face lower financial and time constraints.With a clearer and more streamlined process, the US will see a proliferation of GE crops. Small to mid-sized innovators may find niche markets in editing crops that lag in breeding efficiency. These benefits will be particularly fruitful for specialty crops like grapes, almonds, and pistachios that are ripe for rapid advancements. The US agricultural sector also awaits innovations that will increase adaptation to the worsening threats of climate change such as fire, drought, and flooding. If federal policy keeps up with these advancements by streamlining and demystifying regulations, the United States will benefit from crops that are safer, cheaper, and more resilient.Although Jewish agricultural settlements have had a long history in Latin America, particularly in Argentina and Brazil, those founded as a result of the panic emigration out of Europe on the heels of World War II are unique. Never before in the history of mankind had the leaders of thirty two nations gathered together in one location to collectively discuss the fate of countless Jewish people. Indeed, the 1938 International Conference at Évian-les-Bains in France, would give rise to the idea of having Jewish refugees settle as agricultural pioneers in lands distant from the turmoil that unfolded in Europe. Jewish refugees were given the opportunity to start life anew as agriculturalists, an occupation most unfamiliar to the Jew, who was, in the main, an urbanized professional or skilled craftsman. Torn from the relative comfort of their European homes by hostile Germans,low round pots the refugees attempted to build a new existence under the protection of host countries such as Bolivia and the Dominican Republic.

The success, or failure, of the refugee colonies of Sosúa in the Dominican Republic and Buena Tierra in Bolivia, is still being debated today, more than a half-century after their establishment, and in some ways provides a model for contemporary studies of similar crises that are currently unfolding in Africa and the Middle East. The property at Sosúa amounted to 26, 000 plus acres that had been abandoned by its former owners, the United Fruit Company, or the UFC. During its time in the hands of the international company, the lands were part of a larger banana plantation, and through the dealings of the Dominican dictator Rafael Leonidas Trujillo Molina; the massive property had become part of his vast business empire. It had some basic infrastructure that had been built for the UFC’s operations, which included some outbuildings and “over twenty houses, miles of fencing, some electricity, a few roads, and some running water, including a 50,000 gallon reservoir.”There were the remnants of a pier that the U.F.C. had built to ship the bananas that it had, with moderate success, grown in the shallow soil at Sosúa. The property sported incredible views of the blue Caribbean just beyond a crescent-shaped, pristine white sand beach that stretched for about eight miles along the coast and inland for seven miles framing Sosúa Bay. Its waters, being mostly calm year round, were a most welcome sight and an invitation to take advantage of the diversions that ocean sports offered. One could take a leisurely stroll down one of the paths to the beach, take a pleasant dive or swim, and even fish within Sosúa Bay’s placid waters. Indeed, there would be settlers who disdained farm work and spent the bulk of their time enjoying the warm tropical weather sunbathing at Sosúa beach. Joseph Rosen and others of his team had scoured the island looking for appropriate properties on which to resettle the refugees. Some of the properties that Rosen’s team had surveyed proved to be less than desirable; however, the Sosúa tract held some promise.

It had some cultivable land that the UFC had previously utilized as a banana plantation, and some very basic infrastructure. The American analysts, under Rosen’s direction “explored lands, half of which Trujillo owned, that Dominican officials offered for settlement [that was] suitable for settlement of more than 28,000 families. Because of the difficulties of starting new settlements and uncertainties about which crops settlers would produce, they recommended starting with a modest pilot project.” Among the scholars who have written about Sosúa, there exist slight discrepancies in the data including the size of the plot. Some scholars such as Bruman listed the size of the settlement at 27,000 acres, while others such as Kaplan and Wells have pegged the acreage at 26,000. For the sake of consistency we use the figure of 26,000 acres because it is the figure most often used. Joseph Rosen’s analysts had, in all probability, located better plots for the establishment of refugee settlements, however, the sway of Trujillo, and the fact that he had ownership of the Sosúa property, dictated that Rosen choose Sosúa as the site for the Republic’s first agricultural settlement of Jewish political refugees. The Sosúa site proved to have just a fraction of its land fit for cultivation. It had rocky outcrops and a lack of water, two obstacles to be dealt with should the settlement thrive. James Rosenburg, Rosen’s partner and the president of DORSA, incorporated in New York in December 1939, negotiated with Trujillo for the property. DORSA had as its mission the financing of the Jewish settlement at Sosúa. Together with other Jewish philanthropies such as the Joint, and the Agro-Joint, or the American Jewish Joint Agricultural Organization, DORSA collected funds and made studies of possible settlement sites. Rosenburg did not want to accept the property as a gift from Trujillo, insisting instead on purchasing it. The dictator claimed that he purchased the property from the United Fruit Company after the company had abandoned the former banana plantation. “Trujillo had allegedly bought the land from the United Fruit Company. He maintained that it had cost him $56,000…that he had put another $10,000 into it, but offered the land with buildings on any terms.”

The historian Allen Wells, in his monograph Tropical Zion, General Trujillo, F.D.R., and the Jews of Sosúa, has stated that Trujillo had purchased the property from the U.F.C. for the modest sum of $50,000. The international company had sold the property to Trujillo “in appreciation for the protection he afforded when he was head of the army.”However, Trujillo had no intention of turning the plot into agricultural land and looked to turning Sosúa into a cattle ranch.According to Metz, “Trujillo had originally obtained the lands that were to become Sosúa in an “irregular way.’ The foreign impression was that he donated lands to Jews at Sosúa, whereas, according to the ‘Dominican version,’ Trujillo had inexpensively purchased the properties under United Fruit Company pressure and then sold them at a significant profit in cash and stock to DORSA. What is certain is that Trujillo collected from DORSA one million dollars for this land.”However, in a letter from James Rosenberg addressed to ‘His Excellency, Rafael L. Trujillo’, dated June 25, 1951, more than a decade after its founding, Rosenberg gave thanks to the President for the gift of land at Sosúa. “Never, as long as I live, will I forget the day when I received your letter at Sosúa in which you gave our Association your land now occupied by the settlers. Faithfully yours, James N. Rosenberg.”This is not the first reference that Rosenberg makes regarding the Sosúa lands as being a gift from Trujillo to DORSA. In another piece of correspondence from Rosenberg to ‘His Excellency, Generalíssimo Rafael Leonidas Trujillo Molina, Commander-in-Chief of the Armed Forces of the Dominican Republic’ and dated February 8, 1957, Rosenberg praised Trujillo for his “noble gift of the Sosúa property.”The friendship that developed between Rosenberg and Trujillo began much earlier, as is evidenced in a letter to Trujillo from Rosenberg dated May 20, 1940, almost two years after the international conference at Évian les Bains. Rosenberg addressed Trujillo as “My Dear Generalíssimo,” and thanked him for “your service to the cause of humanity in these dark and tragic hours.”The two men were to become more than just collaborators; they became close friends and looked to each other for advice,plastic pots 30 liters diversion and guidance. The geographers Richard Symanski and Nancy Burley, in their 1973 paper published in the Annals of the Association of American Geographers; state that the purchase price of the land at Sosúa was $100,000 in stock in DORSA.10 Then again, Rosenberg and Rosen did not want to accept the lands at Sosúa as a gift, but preferred that Trujillo exchange the land for a fixed amount of stock in DORSA. It was agreed upon that the Trujillo would be given shares which had a value of approximately $100,000 U.S.D., in spite of his desire to present the land at Sosúa to DORSA as a gift without any strings attached. Rosenberg’s Diary I has details of the negotiations leading up to the signing of the contract that transferred the title of the property to DORSA in 1940.

The negotiations transpired over a period of weeks with some of them taking place over cocktails at one of Trujillo’s many parties. Indeed, Rosenberg’s diary is replete with personal observations of these lively assemblies. Reading it one is left with a mental picture of elegant balls, luncheons and official state dinners. Then again, Trujillo had a reputation as a social carouser and loved to be at the center of attention.Rosenburg wanted to avoid any negative perception that would certainly accompany any gift of Dominican property to DORSA. Both Rosen and Rosenberg wanted to foster an image of independence, that the Jewish refugees were not a charity case looking for free handouts and were able to stand on their own. It was widely believed that the Jew abhorred physical labor of any type, preferring the urban environs to the slow, seasonal rhythms of rural farms. Trujillo’s sale of the Sosúa property would give the Jewish refugees the opportunity to prove that they were a hardy folk who could withstand the privations that came with an agricultural and rural life. Long periods of isolation and hard work were preferable to the alternative of imprisonment and certain death at the hands of the hated Nazis. Again, Trujillo wanted to allow only those refugees with an agricultural background into the Dominican Republic. A consensus was reached between Trujillo and DORSA which called for only strong and able young males and couples to begin the settlement at Sosúa. Indeed, many of the refugees who sought visas to the Dominican Republic “had no interest in working on less than fertile land [and] lacked the skills, inclination or physical capacity for farm work. Most refugees could not transform themselves into plausible farmers.”El Generalíssimo Trujillo relaxed his previous stipulations which called for settlers with agricultural skill sets, writing that “no settler should become a financial burden on the state.”One refugee couple, who wished to immigrate to the Dominican Republic from their temporary residence in London, was told by an American, Solomon Trone, who “came to sign up people willing to settle in Sosúa that he could arrange for anybody willing to go to Sosúa to be released. In spite of their total lack of agricultural skills, the couple was told by one who had already made the journey to Sosúa that “Nobody in Sosúa knows anything. You just start applying for a place.”Rosen had a well-established track record regarding the founding of Jewish agricultural settlements, and the academic credentials to allow him access to the checkbooks of Jewish philanthropies and donors. Born in Moscow in 1877, Rosen came to America in 1903, landing in New York virtually penniless. Rosen worked at several different odd jobs to feed, clothe and house himself. He eventually went west in search of better opportunities, and found employment at a farm in Lansing, Michigan, where he worked for two years. In 1905, Rosen enrolled in the Michigan Agricultural College-now Michigan State University in East Lansing, as a special student. During his pursuit of an education at the school he worked as an assistant at the college library, and also wrote several articles on American agriculture for different Russian publications.

The production of irrigated crops is constrained by water availability and prices

We explore sensitivity to spatially heterogeneous future impacts by incorporating a subset of the 35 yield change scenarios from the AgMIP global gridded crop model intercomparison study into GCAM’s exogenous agricultural assumptions. The scenarios selected have been found to span a range of global impacts in previous GCAM versions. Each GGCM assesses the effects on yields of RCP 8.5 changes in CO2 , temperature, and precipitation from five bias-corrected global circulation models for rainfed and perfectly irrigated versions of crops. Water for irrigation is constrained in the version of GCAM used for analysis. We apply crop impacts in one of two ways: only in the U.S. and everywhere . This work is consistent with earlier work using different models to consider similar scenarios regarding the importance of international impacts, adding robustness to the findings through the use of a different multi-sector model. We find that international impacts could be as important as domestic impacts for the financial value of U.S. agricultural crop production in across spatially and temporally varying agricultural impacts scenarios. Crucially, there are scenarios in which examining only domestic impacts would lead to a fundamentally different analysis of the future of U.S. agricultural crop production than if one considered the combined effects of domestic and international impacts. Therefore, while there is uncertainty about climate impacts on future crop yields, evidence suggests that the importance of international effects on the financial value of U.S. crop production is robust across this uncertainty.GCAM couples human and physical Earth systems to explore the impacts of economic and environmental policies. GCAM is calibrated to historical data through 2010 and then simulates forward from 2010 to 2100 in five year time steps by incorporating changes in quantities such as population, GDP, technology, and policy to produce outputs that include land use, emissions, and commodity prices. Specifically, GCAM can assimilate high spatial resolution information on the global distribution of crop yields and analyze its effects on the coupled system of global agriculture markets. This and previous versions of GCAM track long term trend behavior rather than inter annual variability . All scenarios in this study follow Shared Socioeconomic Pathway 2,vertical farm tower the “middle-of-the-road” socio-economic scenario.

The associated GCAM scenario provides the reference against which we measure impacts in this study. GCAM represents the energy system in 32 economic regions, and it represents global production in 384 agricultural and land-use regions. Each of the 384 land units in GCAM represents a water basin-economic region combination. Twenty-three of these lie within the U.S. With each land unit, GCAM allocates land across more than a dozen types based on cover and use. Allocation is based on a logit formulation to optimize profitability, with details provided in Wise et al . Important to this study, GCAM models production of a range of agricultural commodities , each with four different management types . S1 Fig illustrates the land competition nests used by GCAM v5.2 in each GCAM land unit . S1 Table in the S1 File provides the mappings between crops in the FAOSTAT database and GCAM commodities. Some GCAM commodities are straightforward , but some GCAM commodities are economic aggregates, such as Misc Crop and OilCrop . The span of GCAM commodities allows a relatively full modeling of the agricultural sector of economies. On the supply side of agricultural crop production in GCAM, the “no impacts” baseline yield change assumptions are read in exogenously. These yield changes are used by GCAM to calculate the profitability of a GCAM crop-irrigation-fertilizer combination in each GCAM land unit at each time step. This profitability determines land allocated to each land type . The combination of exogenous yields and endogenous land allocation gives production of each crop-irrigation-management combination in each land unit. Because land shares allocated to rainfed versus irrigated, high versus low fertilizer versions of each crop may change, the aggregate yield for each crop output by GCAM will differ from the input yields. In other words, there is endogenous yield intensification in GCAM. AgMIP yield impacts are incorporated as multipliers on the exogenous yield assumptions used by GCAM .The GCAM food demand system creates a slightly elastic portion of demand for each crop type, based on the exogenous population and GDP assumptions GCAM takes as inputs. Therefore, the minimum quantity defined by the food demand system must be met globally by GCAM agricultural crop production.

Other demand sectors are more elastic. For some GCAM agricultural commodities, such as Corn and Oil Crop, this leads to an overall more elastic total demand function because GCAM explicitly models the energy sector and the accompanying price-sensitive demand for use of these crops as bio-fuels. Crops such as Wheat and Rice that are primarily used to feed humans have nearly perfectly inelastic demand. This lends an extra layer of difficulty to analysis of the dynamics in any particular agricultural impacts scenario. Since both supply and demand schedules may shift, there is never a single mechanism that may be identified for any particular price change. GCAM includes mechanisms on both the supply and demand side that allow for adaptation behavior. Specifically, because there is a price elasticity of demand for GCAM agricultural crop commodities , reduction of quantity demanded is one available mechanism in the model. This includes changing demand for animal feed and bio-energy in response to changing prices. On the supply side, economic agents can endogenously adjust land allocation in response to changes in profit rates between rainfed or irrigated versions of crops . Additionally, the option to shift to higher nitrogen fertilizer per unit of land is included, which leads to an increase in both the yield and the cost per unit of land . Pesticide use is currently not explicitly modeled, and therefore changes to pesticide use are not included as an adaptation option in GCAM. Finally, GCAM includes trade of agricultural crop commodities and the ability for producers to shift land allocation among commodities as profit rates change with yield and price changes. A significant difference between the version of GCAM used in this paper and the version documented in detail, is that GCAM 5.2 features different agricultural crop trade behavior. Previously, GCAM modeled completely flexible trade with nearly all agricultural commodities traded freely on a global market with no explicit distinction between domestically-produced and imported products and a common global market price. The version of GCAM used for this study employs a system that is based on an Armington distinction between domestically-produced and imported products . In this new approach in GCAM, we specify region-specific agricultural markets at the 32-region level. Regional demand is an explicitly modeled choice between domestic production and imports from the global market via a nested logit structure, similar to our modeling of land use allocation in GCAM .

International trade is not modeled as explicit bilateral trade but instead as a single market for each commodity that contains all regional gross imports and gross exports. Additional details may be found in the S1 File.We examine the implications of agricultural impacts to U.S. producers through the use of four varying crop-climate model combinations in the AgMIP/ISIMIP global gridded crop model inter comparison study CO2 fertilization effects, driven by RCP 8.5 earth system changes. RCP 8.5 is a climate scenario that features large changes in temperature, CO2, and precipitation and therefore relatively larger local changes in crop yields produced by crop models than under the other RCPs. It was selected with the idea that the larger yield change signal in RCP 8.5 would aid in identifying the emergent mechanisms that dictate the future economic changes resulting from yield changes. The other RCPs are deserving of future examination, but one would expect that the policies applied to reduce emissions would then interact with the impacts of correspondingly smaller yield changes. The GCAM reference scenario to which these crop yield impacts are applied has no climate policies in place. We use AgMIP global gridded yields from each of the EPIC and LPJmL crop models driven by five GCMs under RCP 8.5. Each scenario models yields for different collections of crops. Further, these collections of crops differ from the commodities modeled in GCAM. Yield data is available for both perfectly irrigated and locally rainfed versions of each crop. These gridded yields are aggregated to the GCAM land units using MIRCA2000 harvested area data for weighting. At the basin scale, time series of yields are converted to multipliers by dividing by the historical baseline average yield for each crop-irrigation-basin combination. Finally, these crop-irrigation-basin specific multipliers are converted from the crop model specific crop types to multipliers for each GCAM commodity irrigation-basin combination using GTAP harvested area weights from the GCAM data system for aggregation. This method for incorporating climate driven yield changes as multipliers on GCAM’s exogenous yield assumptions follows methods used in the broader literature. GCAM’s biomass crop commodity receives the median of impacts to all other commodities,vertical plant tower for each irrigation-management practice combination, in each basin. Fig 1 is a schematic summarizing this processing pipeline. S2 Table in S1 File lists the mapping between AgMIP model crops and GCAM commodities used to estimate multipliers. Corresponding water supply constraints for irrigated crops are used for each scenario. Impacts are not applied to grassland or forest to isolate the role of impacts on crop yields.Results are presented for a variety of physical and economic output variables from GCAM. Due to both the variability and the relatively small sample size of spatially heterogeneous climate-crop impact scenarios available for this paper, summary statistics across scenarios are not presented. Rather, the results presented here focus on relationships between the Domestic and the Full scenarios that emerge in each of the different climate-crop impact combinations considered.

To this end, Figs 2 and 3, and S3 Fig illustrate the percent change relative to the no impacts reference GCAM scenario for several economic and physical variables in 2050 at the aggregate U.S. level for different GCAM commodities, under for all scenarios in the work. Fig 2 focuses results on Corn and OilCrop, globally important commodities for which the U.S. is a major producer. Fig 3 presents results for Rice and Wheat, important commodities with more spatially distributed production across the globe. S3 Fig presents results for the remaining GCAM commodities. The variables plotted include Area allocated to each commodity , the U.S. commodity Price, the production Prod of each commodity , and the aggregate endogenous yield change EndYld . Results are also included for changes in revenue Revto examine an aggregate direction of change between Price and Prod, as both variables are important to U.S. producers.Price changes are a primary economic mechanism through which international yield changes are transmitted to U.S. agricultural producers. Because agricultural commodities are traded across the globe, the prices of these commodities are affected by events that occur both in the U.S. and internationally. An event that affects U.S. yields will have consequences for U.S. production but also for prices in the rest of the world and will therefore affect production throughout the world agricultural system. The reverse also holds. Because the U.S. is a significant but not majority contributor to the global agricultural market for most crops, the magnitude of U.S. price changes in the Domestic is consistently smaller than in the Full scenario, across all climate-crop impact combinations for all GCAM commodities, illustrated in Figs 2 and 3 and S3 Fig. This is regardless of whether prices have increased or decreased relative to the baseline scenario, consistent with many of the results reported. Further, applying impacts in the Full case versus in the Domestic results in differing price changes from reference, even for commodities such as Corn that display very similar values in the Full and Domestic cases for physical variables such as area, production, and endogenous yield. It is possible that the relationship between the Full impacts price change from reference and the Domestic impacts price change from reference may break down as the structure of the system being modeled fundamentally changes. For example, in a more restrictive trade scenario, U.S. producers would be more restricted in their options to respond to future climate and prices would be increasingly dictated solely by the direct impacts on U.S. productivity. For commodities such as Corn and Oil Crop, for which the U.S. is a significant producer and exporter, a major shock only to U.S. production is closer in magnitude to a shock across the entire world than it would be for other commodities.

The nine RWBs use different approaches to assess and control agricultural discharges

Aquifers also help move water from areas of recharge finding to areas dominated by extraction that are miles or — in very large aquifers — a few tens of miles away. Unfortunately, in many areas of California we have not been replenishing this account sufficiently during wet years. Groundwater resources across California’s agricultural regions have been more stressed during the current drought than at any other time in history finding. In most wells, depth to groundwater has exceeded that of the same or nearby wells in the 2007–2009 drought, and exceeds the depths recorded in the mid-20th century, prior to local, state and federal water projects finding coming on-line. The demand for groundwater has been increasing due to the increased acreage of intensively grown crops, large-scale conversion of range land and field crops to permanent crops and uncertainty about water deliveries from the Sacramento-San Joaquin Delta, the heart of California’s elaborate surface water conveyance system finding.Lower groundwater levels have significantly increased pumping costs and increased the need for constructing deeper wells where existing wells were not sufficiently deep to access falling water levels finding. Greater reliance on groundwater during the drought has caused land subsidence on a large scale in the Central Valley finding, coastal basins and Southern California; it has also exacerbated seawater intrusion where pumping occurs in aquifers near the coast finding. As pumping lowers the water table, water quality is sometimes compromised by saline water or other naturally occurring contaminants finding. Rapidly falling water tables also lead to more-contaminated shallow groundwater entering drinking water wells. Agricultural regions in California are challenged not only by dwindling groundwater supplies — a critical drought insurance for California — but also by significant groundwater quality degradation, in particular from nitrate and salt pollution. Pollutants may come from urban sources finding,vertical farm system domestic household sources finding or agricultural sources finding.

A number of studies have shown a high incidence of nitrate, above drinking water standards, in domestic and public drinking water supply wells; in some counties, more than 40% of domestic wells exceed the nitrate limit for safe drinking water finding. Salt accumulation in streams and groundwater has also been found to be significant finding, with potentially punitive economic consequences: By 2030, the combined impact of surface water and groundwater salinization to agriculture and the California economy, if current conditions continue and no preventative action is taken, is estimated at $6 to $10 billion annually in lost production costs, job losses and other impacts finding. The problems of groundwater overdraft and water quality degradation have been recognized for some time. Increasing public concern over the past two decades has raised the level of local, state and federal government engagement and of actions by policy- and decision makers. Groundwater users and wastewater dischargers in the urban and the agricultural sectors face new regulatory requirements. While urban governments have a long history of dealing with limited water resources, the agricultural community is experiencing significant and historic changes in its involvement with managing groundwater extraction and protecting groundwater resources for the future. Based on these principles, the legislation lays out a framework for the entire state to manage its groundwater. In 127 medium- and high-priority groundwater basins finding, groundwater sustainability agencies finding will have to be formed no later than June 2017. These GSAs will be responsible for developing and implementing a groundwater sustainability plan finding that has specific objectives and meets specified sustainability targets consistent with the core principles of the SGMA. GSAs have 3 to 5 years to develop and begin implementing their GSP finding. GSAs must show significant progress in implementing their plan and achieve sustainability no later than 2042.Funding for GSP activities will likely come from a combination of state and local funding sources. In over drafted basins, adjudications may continue to be an alternative process to achieve sustainability, despite the high cost and often years-long legal proceedings involved. As of this writing, the Legislature is actively considering multiple bills that would create an alternative, streamlined adjudication process.

In the intermediate and long run, the main impact from this legislation will be that new recharge and groundwater storage options will be pursued, and, where needed, pumpers may see restrictions in pumping or well drilling. Where additional recharge is available, pumpers may be asked to pay additional costs to secure the recharge needed in return for their right to continue pumping. Basin boundaries may be adjusted and may include fractured rock aquifers currently not recognized as groundwater basins by the Department of Water Resources although they are subject to significant groundwater extraction in some areas. Litigation and state intervention may be inevitable in some cases, but it remains to be seen how frequently that route will be chosen over mediation or facilitated GSP development and implementation. In either case, the new groundwater legislation marks a turning point in California water management by no longer allowing for continued depletion of groundwater resources and by requiring an active, well-informed groundwater management system that is better integrated with surface water management, water quality management and land use decisions to maintain a balance that best serves competing human, economic and environmental health interests.The federal Clean Water Act addresses only surface water quality. By contrast, California’s water quality law, the Porter Cologne Water Quality Control Act of 1969 finding, includes the protection of groundwater quality. The California Legislature designated the State Water Resources Control Board finding and nine newly created regional water boards finding to implement the Porter-Cologne Act. The primary function of the RWBs is to establish a basin plan that identifies water quality goals and to develop regulatory programs to achieve those goals. Non-point sources of potential groundwater pollution finding were long exempted from direct oversight through unconditional waste discharge waivers. However, those waivers were discontinued by the Legislature in 2002, which led to new regulatory requirements for agricultural and other non-point source water dischargers finding. Focused on surface water quality in the first decade after 2002, these regulatory efforts now increasingly address groundwater quality. They require demonstrable source control and documentation of groundwater nitrate and salt discharges and also provide state and federal funds to improve the drinking water supplies of communities affected by poor groundwater quality.

The Central Valley RWB and Central Coast RWB regions are home to large areas of California’s most intensive agricultural operations and have therefore developed the most extensive regulations. But all RWBs are obligated to consider discharges from non-point sources to groundwater and to develop basin plan amendments for nutrient and salt management finding.The 2007 Dairy Order was the first comprehensive California groundwater quality permitting program applicable specifically to farms. It sets the framework for permitting dairy discharges of nutrients and salts to surface water and groundwater. The dairy order requires dairies to prepare nutrient and waste management plans, annually report nutrient budgets for individual fields, tonnage of manure exports and water quality of on-site wells. Targeted shallow groundwater monitoring and efforts to develop improved management practices that demonstrably improve groundwater quality are implemented through the Central Valley Dairy Representative Monitoring Program. This program is led by a coalition of dairy producers that is working closely with the RWB; it offers an efficient alternative to individual dairy groundwater monitoring plans.Upon its inception in the early 2000s, the Central Valley ILRP finding focused on surface water and watershed protection through farmer education, certification and coalition-led stream water quality monitoring and management. But since 2010, the Central Valley RWB has been expanding the ILRP to add elements that also protect and improve groundwater quality, primarily nitrate, pesticide and salt contamination, through source management on irrigated lands. In the Central Valley, the ILRP covers about 7 million irrigated acres with several tens of thousands of individual farms. Permits finding are given either to individual farms or to regional ILRP coalitions, organizations that farms can join to represent them collectively with the RWB. ILRP coalitions representing large groups of farmers include the Sacramento River Watershed, Rice Farmers, Eastern San Joaquin Watershed, San Joaquin County and Delta, Western San Joaquin Watershed, Tulare Lake Basin Area, and Western Tulare Lake Basin Area coalitions. Each coalition is subject to a separate RWB order. Under the expanded ILRP, the first step is a Groundwater Assessment Report finding, which is currently being developed or has been developed by each of the coalitions. The assessment identifies historic and current groundwater quality conditions and identifies vulnerable groundwater regions. The assessment provides the rationale for the monitoring and reporting requirements, which may differ within and between regions, and allows for a tiered program of monitoring and reporting requirements for sub-regions to reflect the diverse potential impacts to groundwater. In a next step, beginning in 2015, field specific nutrient management planning forms will need to be completed by all farmers for the first time. Generally, farmers will now be required to implement management practices, keep appropriate records finding and report some of the information collected to their coalition. The coalitions are further responsible for performing groundwater monitoring, typically in a network of domestic and monitoring wells. As in the dairy program,vertical indoor farming the coalitions are also responsible for developing management practices that demonstrably improve and protect groundwater quality. A significant focus will be on documenting field nitrogen inputs and outputs and on improving nitrogen-use efficiency.In 2012, the Central Coast RWB adopted an update to the ILRP, called the Agricultural Order finding. The program covers about 4,000 farms on about 400,000 acres. Based on its own groundwater assessment work, the RWB created three tiers of farms depending on the potential risk they pose to groundwater quality. The tiers are determined by pesticide use, farm size, nitrate occurrence in nearby public supply and farm wells, and by crop type.

About one in seven farms are in the highest tier, tier three finding, about half of the farms, mostly vineyards, fall in the lowest tier finding, and the remainder are in tier two. As in the Central Valley, farms in all tiers are required to perform proper nutrient, pesticide and irrigation management, documented in their farm plans finding. Back flow prevention and proper well abandonment are also required on all farms. Unlike in the Central Valley ILRP, all farms need to sample groundwater from existing wells twice during the first year. Subsequent groundwater sampling frequency is greater for farms in tier three than in tier two or one. Farms can choose to implement the groundwater sampling program individually or join a coalition that has been created specifically to perform groundwater monitoring and to support farmers with the implementation of the Agricultural Regulatory Program.Operating at an even larger scale and affecting stakeholders beyond agriculture finding is the Central Valley Salinity Alternatives for Long-Term Sustainability finding program. In coordination with the RWB, it was created in 2009 by stakeholders to develop a comprehensive salt and nutrient basin plan amendment for the Central Valley that complies with the state’s recycled water policy finding. The development of the basin plan amendment includes a wide range of assessments by CV-SALTS: nitrate and salt source loading from agricultural, urban and industrial sources, extensive review of surface water and groundwater quality data, and development of potential management practice and infrastructure solutions. The CV-SALTS program builds upon and is coordinated with the Central Valley Dairy Order and ILRP efforts. It focuses in particular on avoiding future salinization of the Central Valley aquifer system under SWRCB’s overarching antidegradation policy. Stakeholders are organized within the Central Valley Salinity Coalition finding, which is scheduled to provide its final salt and nutrient management plan finding to the RWB in 2016. As part of these efforts, a recent Strategic Salt Accumulation and Transport Study finding compared historic water quality data to an assessment of current salt and nutrient loading in the Central Valley; it determined that approximately 1.2 million acre-feet of Central Valley groundwater needs to be desalinized annually to meet long-term irrigation and drinking water standards. SSALTS suggests various alternatives for water treatment, including desalination and evaporation ponds. Implementation costs are estimated to be roughly $70 billion over the next 30 years, of which $20 billion can be raised by selling approximately 1.1 million acrefeet of ultra clean treated water annually to urban areas. These costs include some saline water being disposed of by deep injection and some being stored in salt accumulation areas on the Tulare Lake Bed finding.

The fuel subsidies are “cheap fuel” policies used by the government to buy political support

The U.S. Department of Homeland Security finding deports about 400,000 unauthorized foreigners a year. The main target of internal enforcement efforts are foreigners who committed U.S. crimes, but DHS agents take into custody other unauthorized foreigners they encounter when searching for criminals. Under the Secure Communities program, state and local police share the fingerprints of persons they arrest with DHS, which can ask police to hold suspected unauthorized foreigners. If federal enforcement and state laws reduce the availability of unauthorized farm workers, can farmers hire legal guest workers? The H-2A program allows farmers to request certification from the U.S. Department of Labor finding to employ legal guest workers. DOL certified over 95% of employer requests for H-2A workers within 45 days, allowing over 7,000 farm employers to fill almost 95,000 jobs with H-2A workers in 2010. In some cases, one H-2A worker fills more than one U.S. farm job in the United States; the number of visas issued to H-2A workers averages 55,000 a year. In order to be certified to employ H-2A workers, farm employers must try to recruit U.S. workers by posting the job with a State Workforce Agency and advertising it in local media. Employers record the reasons why the U.S. workers who responded to the job offer were not hired. In many cases, U.S. workers seeking farm jobs want to go to work right away, not 30 days in the future, so many U.S. workers who are hired do not show up when the employer calls them to go to work. Employers must offer the higher of the federal or state minimum wage, the prevailing wage in the area, or the adverse effect wage rate finding—the average hourly earnings of crop and livestock workers reported by farm employers to USDA’s NASS during the previous year. The AEWR, which ranges from $9 to $12 an hour, is usually the highest of the three wages. In addition to offering the higher than-minimum wage AEWR, farmers seeking DOL certification to employ H-2A workers must offer free and approved housing to out-of-area U.S. workers and H-2A workers.

This housing requirement is difficult to satisfy in California and other states where labor-intensive farming occurs largely in metro counties. Most farmers in such areas do not offer housing to their employees, and zoning laws make it hard to construct new farm worker housing. Requirements for supervised recruitment,barley fodder system the AEWR, and providing housing for workers convinced many farmers, especially in California, that the H-2A program is “unworkable.” Farmers supported bills in Congress during the 1990s that would have created alternative guest worker programs that eliminated the search for U.S. workers, reduced the AEWR, and eliminated the housing requirement. These guest worker bills were not enacted. However, in December 2000, after the elections of Presidents Fox and Bush, both of whom embraced legalization for unauthorized workers and new guest worker programs, farm worker advocates and farm employers negotiated the Agricultural Job Opportunity Benefits and Security Act finding. AgJOBS would legalize unauthorized foreigners who have done farm work, and make it easier for farm employers to hire guest workers under the H-2A program, repeating the legalization and guest worker changes of IRCA in 1986.AgJOBS was not enacted despite bipartisan support. Instead, Republicans in Congress and states introduced bills and enacted laws that use an enforcement-first strategy to deal with unauthorized migration. As Table 1 shows, more crop farmers in California and throughout the U.S. have turned to labor contractors to obtain workers; employment has been stable, but an increasing share of workers are brought to farms by labor contractors and other intermediaries who are willing to act as risk absorbers in the event of labor and immigration law enforcement. However, stepped-up enforcement of current laws without a new or revised guest worker program could leave agriculture with too few workers. Republicans in Congress who want to increase enforcement are trying to deal with labor shortage concerns by making it easier for farmers to hire legal guest workers under new programs.

The American Specialty Agriculture Act finding would retain the current H-2A program and provide up to 500,000 new H-2C visas a year to foreign farm workers who could stay in the United States up to 10 months a year. To hire H-2C workers, farmers could simply attest that they are abiding by program regulations rather than engage in supervised recruitment, and they could give H-2C workers housing vouchers rather than provide them with housing. H-2C workers could be paid the higher of the federal or state minimum wage or the prevailing wage rather than the AEWR. The second approach to make it easier for farmers to hire legal guest workers is the Legal Agricultural Workforce Act finding, which would grant an unlimited number of 10-month W-visas to foreigners who could move from one farm employer to another. Farm employers certified by USDA to hire W-visa workers would pay Social Security and the Federal Unemployment Insurance taxes on the wages of W-visa workers to cover the cost of administering the program. W-visa workers would pay for their own transportation and housing in the United States, but would receive a refund of their Social Security contributions as an incentive to return home. None of the bills mandating E-Verify or creating new guest worker programs is likely to be enacted in 2012. This means that a major farm labor challenge arises from the effects of long-time federal and new state enforcement efforts. For example, fences and vehicle barriers have been erected on one-third of the 2,000 mile Mexico-U.S. border, slowing the influx of unauthorized Mexicans and other foreigners; only 375,000 were apprehended in FY2011—down from 1.2 million in FY2006. Deportations of foreigners, almost 400,000 in FY2011, exceeded the number of foreigners apprehended just inside U.S. borders for the first time. Fewer new entrants means fewer new farm workers, since many rural Mexicans find their first U.S. job in agriculture. If states require employers to check new hires with E-Verify, and if state and local police detain the persons they encounter who do not have proof of their legal status, farm employers may find fewer new workers appearing to replace those who move on to non-farm jobs.Agriculture is at another farm labor crossroads. The question is whether the next few years will turn out to be like the mid-1960s, when the end of the Bracero program ushered in a 15-year era of rapidly rising wages, mechanization, and union activities. Or will the coming years be more like the late 1980s, when legalization, continued unauthorized migration, and the spread of labor contractors, custom harvesters, and other intermediaries negated the effects of federal employer sanctions laws, allowing the employment of unauthorized workers to increase.

Farmers are reacting to the Congressional stalemate on immigration and new enforcement efforts in different ways. Some are constructing housing for farm workers and beginning to hire workers under the current H-2A program, reasoning that investments in foreign worker recruitment and housing will provide legal and stable workers. Others hope to persuade Congress and state legislatures to exempt agriculture from new immigration enforcement efforts and create new guest worker programs.Concerns about the high price of oil, energy security, and balance of trade, combined with the desire to reduce greenhouse-gas finding emissions and enhance rural development, led to a wide array of policies supporting bio-fuel production in the United States and the European Union finding. These included the American Clean Energy and Security Act of 2009 as well as the consumption of bio-fuels as part of renewable fuel polices, such as the California and the EU renewable fuel standards. A large body of literature analyzed the impacts of these policies on fuel and food markets and their optimality. However, some of the studies analyzing the impacts of bio-fuel on the fuel markets assume that they are competitive without special attention to the behavior of the Organization for Petroleum Exporting Countries finding and their impacts. In this paper we present the results of research that aim to model OPEC’s behavior and how OPEC’s behavior will affect the price impact of bio-fuel on fuel prices and GHG emissions.In the 1960s, OPEC was founded to unify and coordinate members’ petroleum policies. Currently, it has 12 members, including major oil producers, such as Saudi Arabia, Iran, Iraq, Venezuela, and Nigeria, which control more than 50% of the known oil reserve and produce 42% of the crude-oil production. The organization uses its market power to control production and pricing of oil with varying degrees of effectiveness. Figure 1 depicts OPEC’s revenues through 2008 and suggests that OPEC members’ revenues peaked in the late 1970s and in the new millennium. The increase in oil revenues in the new millennium was a result of an increase in global demand for crude oil from 2000 to 2008,hydroponic barley fodder system associated with a slow increase in supplies, which led to a rapid increase in the price of crude oil during the same period. Although prices more than quadrupled, OPEC production during 1998–2010 increased by an average of only 0.6% a year and the exports grew by only 0.2% a year. The slow growth in production may reflect either slow expansion of supply or more discipline exercised by the cartel members.

Some of the revenue of OPEC countries has been allocated to subsidize fuel prices domestically, as consumers of gasoline and diesel in OPEC countries pay significantly lower prices at the pump compared to the rest of the world. In 2006 average super gasoline prices in non-OPEC countries were 1.04 USD per liter, including an average base retail price of 0.63 USD per liter and extra domestic fees of 0.41 USD per liter, whereas in OPEC countries they averaged only 0.28 USD, which reflects a subsidy of 0.35 USD per liter. We computed the subsidy or tax equivalent levied on gasoline at the fuel pump compared to a benchmark export gasoline price, and the results are depicted in Figure 2. The figure illustrates the widening of the gap between gasoline prices in the oil-importing countries and OPEC countries in the new millennium. During this period, nominal gasoline subsidies in OPEC countries increased while crude-oil prices grew by more than 500% and gasoline prices in the rest of the world surged. Another perspective of fuel pricing is presented in Figure 3. It depicts average gasoline and diesel prices in both OPEC countries and in the rest of the world. From 1993 to 2000, the gap between prices in OPEC countries and the rest of the world was stable but, after 2000, the gap began to grow at an increasing rate as OPEC intensified the utilization of its monopoly power. The pricing patterns presented above suggest that OPEC countries exercise their market power so that the outcomes of crude-oil and transport-fuel markets deviate from the competitive outcome. Under this equilibrium, output is determined by equating supply and demand and the price is equal to the marginal cost of production—the cost of producing the marginal finding unit sold. Several studies model OPEC as if it were a cartel of firms and suggest that it sets prices to maximize profits for its members so that the quantity sold is below the competitive level and the price is above the competitive price and the marginal cost of production. However, a monopolistic firm will not subsidize a group of consumers as OPEC does. So we model OPEC as a cartel of nations. Such cartels are run by politicians who consider the gains of producers finding from profits finding, and the gains of consumers finding from the gap between the benefits of fuel and the price paid for it. Therefore, a cartel of nations will charge consumers in an importing nation a profit-maximizing monopoly price while subsidizing the domestic consumers. The subsidy depends on the relative weight given to producers’ versus the consumers’ surplus. Our empirical analysis suggests that, on average, equal weight is given to the welfare of the two groups but there are differences in the subsidizations among countries finding.They are akin to the widely used “cheap food” policies but, unlike cheap food policies that aim to placate the poor, the cheap fuel policies are targeted to buy the good will of the middle class.

The fundamental welfare question is therefore whether the total benefits to farmers exceed this amount

Our pre-analysis plan, written in 2015, refers to a number of forms analysis that we do not present. For transparency, we describe them briefly here. First, we had intended to conduct an experiment to test credit constraints among traders by offering loans to a randomly selected subset of Commission Agents. We conducted a pilot for this experiment in the first season, issuing 62 short-term working capital loans to a group randomly selected from 124 CAs who expressed a desire for credit. In the end, the repayment rate on these loans was poor finding and our partner decided not to move this experiment to the intended scale, so we do not analyze it. Our PAP specifies a set of hypotheses about convergence between spokes and hubs, and the differential effect of treatment for spokes in which the hub is and is not treated. In the end we were only able to map 84% of our spokes to hubs, and the analysis conducted within this reduced sample is typically inconclusive, suggesting that the trading networks may be more complex than our simple hub-and-spoke mapping supposed. So while we emphasize deviations from the superhub in the text, we do not present analysis relative to hubs. The operating cost for running the platform during the three years of the project was ✩927,190. Making up these costs were program administration, including compensation for managers at IPA and AgriNet, along with the deal coordinators and the program staff in the field, was ✩560,112. Targeting, including call center operations and all village-level promotion activities, cost ✩168,105. Participant training of CAs and AN supervisors was ✩39,784. Program material costs, including airtime costs and the money required to run the guarantee system, were ✩53,648. Monitoring costs, primarily the eight staff members who supervised transactions on the ground and implemented the guarantees, were ✩46,757. Kudu’s costs, not borne by the project, consisted of salary for the lead programmer and manager of the platform, short-code fees, and radio ads, and totaled ✩58,784. Our platform has three separable components,hydroponic bucket and we consider the business case for each of them in turn. First of these is Kudu.

The core issue for the standalone Kudu model is that, due to limited use of mobile money in rural Uganda, the platform does not have a mechanism to collect commissions on transactions.29 Hence, it appears that the most logical model to make Kudu sustainable would be a user fee model where individuals pay to post bids and asks on the platform. Given a total number of bids and asks of approximately 54,000 and costs of ✩58,000, this fee would need to be approximately a dollar per use. While this is a tiny amount of money relative to the sums transacted in agricultural deals, it is likely that such a fee would sharply curtail use of the system by farmers and lead to paucity of asks. Further, the usage numbers recorded in the study reflect the influence of the finding call center and on-the-ground staff. An alternative business different model would be for Kudu to sell its up-to-the-minute price information. However, to generate reliable and sufficient data, it would have to operate at a massive scale, which presents a chicken-and-egg problem in terms of how to build up to a platform with sufficient scale to make this kind of market information service profitable. Hence, while Kudu represents a substantial potential boon to welfare from market participation, monetizing this benefit is not straightforward. A second component is the SMS Blast system. The costs of collecting the market price data and sending out the SMS Blast was ✩5,857 per month, although as a part of the study we were collecting data on many smaller spoke markets that likely would not make sense from a profit perspective for a commercial system, which may be better off focusing on only larger markets. Our baseline survey asks a question about WTP for market information from traders; the mean stated WTP for an SMS service providing information on spoke, hub, and super hub markets was ✩0.42 per month, indicating that our market information system could have broken even with 14,000 users. Had it been optimized to operate in fewer and larger markets, that threshold would fall. So, while our results do not indicate that price-only systems have large benefits for market participants, this business model may be the easiest to construct. Finally we have the most costly component of the study platform, which is the AgriNet call center, network of CAs, deal coordinators, and monitoring agents to track transactions on the ground.

While this hands-on approach appears to be a necessary part of launching an online trading platform, it is costly and raises the core question of how it can be paid for, given that the core value proposition of the platform to traders and farmers is a lack of intermediation costs on the platform. Given that a) the number of highly profitable trades on Kudu that AgriNet was able to intermediate directly was small, and b) substantial expense is required to put the logistics in place to be able to collect commissions on brokered trades, the project was fundamentally unable to develop a model through which brokerage fees could cover the costs of operating the system. A subscription model would be available either to Kudu or to a market price information system, but intermediation costs seem inherently to be linked to commissions on trade. Therefore, we conclude that this type of intermediary platform is not straightforward to make viable as a commercial enterprise at the scale observed in this study. Our 1,457 sampled study traders were representative of a broader population of 1,752 traders in study districts, meaning that we capture within the study 83% of the people on whom the harm of decreased trading margins fell. Trader profits fell by an average of ✩292 per year, or almost ✩900 over the three years of the study. Therefore study traders lost a total of ✩1.3 million in profits, and the broader sample of which they are representative lost a total of ✩1.53 million. Combined with the direct cost of running the platform, we therefore estimate the social cost of the platform to be ✩2.42 million dollars. The extrapolation of the total farmer benefits from our study sample requires careful consideration. Imprecision issues aside, it is easy to calculate the aggregate the estimated benefit of the intervention to farmers in our study sample. However, because we see evidence that intervention moved general equilibrium outcomes, like total trade volumes and prices, we must consider the effect of the intervention on the broader population of farmers, including those in our study catchment area but who were not sampled in our household surveys.

How can we best estimate the impact of the intervention on this population? First, we focus on treated households that did not receive the Blast, as the Blast was only targeted to a subset of individuals in our study and was not available to the broader population. Second, we estimate effects separately for those in the “Near” village finding, who are representative of a smaller population of households in the more urban village containing the TC, and for those in the “Far” village finding, who are representative of a much larger population of more rural households in the surrounding sub-county.30 To estimate these ingredients, we present in Table A.22 the core farmer impacts broken out by main treatment status, SMS Blast treatment status, and “Near” vs. “Far” LC1 status, with dummies for each of these three categories and full interactions between them. We can then use the coefficients from Table A.22 to calculate the total revenue effect in each of the four relevant strata.31 For the two strata treated by the Blast finding the study sample represents the population experiencing this effect. For the near stratum not receiving the Blast, the study sample of 1,280 should be representative of the 16,297 households in the same LC1s from which they are sampled. For the far stratum not receiving the Blast, the study sample of 567 should be representative of the much larger sample of 919,697 households in all ‘far’ parishes finding. We start by restricting our benefit calculation to the benefit of farmers in our study sample only. For these farmers, we calculate an aggregate benefit of ✩124,000, far less than the costs. However, applying the per-household benefits to the populations for which they should be representative, the outcome in the “Far” Blast control dominates the welfare calculation and drives our estimate of total benefits to farmers to ✩34 million dollars, thirteen times as large as the total social cost finding before declining to 453.0 million MtCO2e in 2009 as the economy slowed finding finding. Agricultural emissions, as a fraction of total net emissions, are also gradually increasing, from 6% in 2000 to 7% in 2009. In 2006, the California legislature passed Assembly Bill 32 finding, the Global Warming Solutions Act of 2006 finding,stackable planters which requires California to reduce greenhouse gas emissions to the 1990 level of 427 million MtCO2e by 2020. This amounts to a 15% reduction in 2008 levels and a 30% reduction in levels that would occur by 2020 if no actions were taken. AB 32 directs the California Air Resources Board finding to develop a plan for reducing greenhouse gas emissions, which the agency completed and made available for public comment finding. The plan identifies emission reduction strategies targeting emission sources for different sectors; nine focus on agriculture finding. The reductions are mandatory for some sectors, such as industrial enterprises and electrical power operations, but for agriculture they are voluntary. Agriculture represents a significant economic sector in California; it uses 25% of the state’s land and consumes about 75% of its water resources finding.

California agriculture produced approximately $34.8 billion in revenue in 2010 finding and ranks number one among states in agricultural cash receipts finding. In terms of greenhouse gas emissions, agriculture accounted for about 7.1% of California’s total in 2009 finding. The Air Resources Board plan for achieving AB 32 goals includes a combination of direct regulations,performance-based standards and market-based mechanisms. The centerpiece is a cap-and-trade program, which would initially target certain production or distribution processes, including cement production, oil refining, and other significant users of fossil fuels. The program is designed to potentially be linked to similar programs, in particular to an envisioned regional cap-and-trade program that includes New Mexico, British Columbia, Quebec and Ontario. Under California’s proposed cap-and trade program, regulated firms would be given allowances for greenhouse gas emissions once a year beginning in 2012, declining 2% to 3% per year to match emission reduction targets. Firms with surplus allowances could sell or save finding them for future use. Firms unable to reduce their emissions or looking to increase emissions could enter the market to purchase surplus allowances finding. These trading features of the proposed program finding are standard components of cap-and-trade systems, including those pioneered in California to reduce air pollution finding. The Board’s proposed program is also innovative because it would be open to additional private or public mitigation activities that reduce emissions or sequester greenhouse gases. Firms or groups in non-capped sectors may undertake mitigation activities and then be credited with offsets. Regulated firms can buy these and use them in lieu of government-issued allowances to meet a portion of their regulatory requirements finding. Firms in capped sectors could also theoretically undertake mitigation activities beyond their quota, depending on their marginal abatement cost. Trading under the cap, and potentially supplementing allowances with offsets, are both expected to reduce compliance costs, an objective of the Board’s plan. The two mechanisms are complementary: trading creates price signals that motivate regulated firms to seek low-cost mitigation opportunities, and the opportunity to earn credits that can be sold encourages regulated and non-regulated firms and groups to seek low-cost mitigations in sectors where emissions are not capped. To work, the program requires a comprehensive set of standards and regulations that details how emissions are measured and offsets created, especially if it is to be part of a regional cap-and-trade system. The standards and regulations must rigorously protect the environmental benefits associated with emission reductions, because regulated emitters have incentives to under-report emissions, and both buyers and sellers of offsets benefit from exaggerated mitigation claims finding. Initially, the Board plan envisions four sets of rules, called compliance offset protocols, for offset-generating projects, including one for livestock projects.

The definition of sustainability offered here places a priority on broad-based equity considerations

The importance and volatility of food prices have made most governments reluctant to let market forces alone set these prices.Thus, a host of institutional measures have been implemented to address agricultural prices in order to manage their effects on consumer welfare, public coffers, farmer income, foreign exchange, food security, nutrition, and food distribution.Such policies include commodity programs, water and reclamation programs, import/export policies, and research and extension programs.Larger economic factors indirectly affect the agricultural system, factors such as interest rates, trade policy and negotiations, the exchange value of the U.S.dollar, and environmental regulations.In the context of these economic policies, agriculture is subject to non-agricultural constraints and conditions, a fact acknowledged broadly in the literature of both conventional and sustainable agriculture.Yet most research and extension programs in both conventional and sustainable agriculture do not recognize or address these macro factors.Sustainable agriculture efforts generally concentrate on environmentally sound farm-level technologies which are economically profitable for farmers to adopt.Less commonly do such efforts address how the technologies they generate will affect or be affected by larger economic concerns in the long run.A second assumption behind many sustainable agriculture definitions, that short-term profitability is of ultimate importance, is also common.This is a central tenet of LISA, forming the first of its ten Guiding Principles: “If a method of farming is not profitable, it cannot be sustainable.”This is problematic, particularly since there is little acknowledgement that profitability is determined by policies, fiscal procedures, and business structures that can obstruct sustainability.We recognize that short-term profit- ability is important in commercial agricultural systems; clearly,hydroponic nft system if growers are to adopt sustainable agricultural practices, these must be profitable in the short run as well as the long run.

The problem lies in pursuit of short-run profitability at the expense of environmental and social goals.In conventional agriculture, the drive to maximize short-term profit has meant that many pressing problems have been ignored or exacerbated.Natural resources have often been treated as expendable commodities , and agriculture has functioned more for financial gain than for human need.The social costs of production have generally been neglected: chronic hunger, inequitable economic returns and unsafe working conditions for farm labor, possible negative health effects related to nutrition and agrichemical use, and the decline of socioeconomic conditions in rural communities associated with large-scale industrial agriculture.Subsuming social goals to economic goals may easily be reproduced in sustainability programs unless sustainability concepts address the fact that profitability and social goals are often not compatible in current economic systems.A useful concept of agricultural sustainability needs not only to acknowledge social issues as priorities equivalent to those of production, environment, and economics, but to recognize the need for balance among those disparate but highly interactive elements which comprise agriculture.Toward this, we offer the following perspective: A sustainable food and agriculture system is one which is environmentally sound, economically viable, socially responsible, non-exploitative, and which serves as the foundation for future generations.It must be approached through an interdisciplinary focus which addresses the many interrelated parts of the entire food and agriculture system, at local, regional, national, and international levels.Essential to this perspective is recognition of the whole-systems nature of agriculture; the idea that sustainability must be extended not only through time, but throughout the globe as well, valuing the welfare of not only future generations, but of all people now living and of all species of the biosphere.This sustainability concept moves beyond emphasis of farm-level practices and micro-economic profitability to that of the entire agricultural system and its total clientele.Richard Lowrance, Paul Hendrix, and Eugene Odum16 describe a model which approximates a whole-systems approach.They see four different loci or subsystems of sustainability: 1) farm fields where agronomic factors are paramount; 2) the farm unit wherein micro-economic concerns are primary; 3) the regional physical environment where ecological factors are central; and 4) national and international economies where macroeconomic issues are most important.

Their model demonstrates that focusing on only one level of the agricultural system neglects others that are equally essential.A whole-systems perspective fosters an understanding of complex interactions and their diverse ramifications through- out agriculture and the systems with which it articulates.This understanding is at the root of sustainability.Vernon Ruttan17 describes an ever-widening comprehension of “whole system” as he delineates three waves of social concerns which have arisen about natural resource availability, environmental change, and human well-being.In the late 1940s and early 1950s the first wave focused on whether resources such as land, water, and energy were sufficient to sustain economic growth.The second wave, in the late 1960s and early 1970s, focused on the effect of growth-generated pollution on the environment.The most recent concerns, manifest since the mid-1980s, also center on adverse environmental effects, but the key distinction is the transnational issues such as global warming, ozone depletion, and acid rain.As agriculture and its impacts become increasingly globalized, the need for a whole-systems perspective, particularly in terms of decision-making, become increasingly critical.Dahlberg 9 observes that although the impacts of modern industrial society are global, the data and analytical tools we use to assess those impacts are limited by national, disciplinary, or sectoral boundaries.Our educational and research institutions tend to mirror this shortcoming,with the result that the larger system contexts of research questions are infrequently investigated and poorly understood.Difficulties in apprehending and resolving problems whose constituents are grounded in several interrelated systems are compounded by the international community’s disparate, competitive political and economic systems.Nations act to promote their own priorities but affect, often negatively, globally shared resources and globally interdependent societies.Although nations and other sociopolitical groups generate impacts beyond their borders, they are generally incapable or unwilling to assess and react equitably to the results of their actions.Pierre Cross on and Norman Rosenberg 18 note the inadequacy of information feedback about significant environmental problems in modern societies, an inadequacy which characterizes feedback about social problems as well.

Accounting for the system-wide implications of local actions should be a primary objective for sustainable agricultural systems.The tools to facilitate such an accounting can only be developed within a whole-systems perspective.We believe it is inadequate to exclude social justice as a priority and that there is an ethical requirement for greater equity in the agricultural system.Some have combined concern for how we treat the environment with how we treat our fellow human beings.For those focusing on the latter, it is essential to look beyond sustaining our environmental and economic ability to produce agricultural goods.It is equally important to ensure that those goods are produced and distributed in an equitable manner.A concern with this human values aspect of agriculture involves a sweeping rather than localized concept of who constitutes “us.” Typically, resource conservation is dis- cussed in terms of its implications for farmers’ profit- ability or our descendants’ food-producing capabilities.The sustainability definition offered in this paper does not limit equity considerations to these groups.A concern with equitable social relations in agriculture requires defining “us” in terms of all fellow humans – not only farmers and future generations, but also farm workers, consumers, non-farm rural residents, Third World urban poor, and others.Sustainability in this sense is framed in terms of both inter generational and intragenerational equity.Thus, issues such as farm worker rights and inner-city hunger are as central as issues of soil erosion and groundwater contamination to the goals of agricultural sustainability.One of the most profound challenges facing agriculture is creating a decision-making process which will fairly resolve equity issues.Such a process must assess competing interests; evaluate agriculture’s costs and benefits,nft channel and the recipients of each; decide fairly what the compromises must be; recognize and encourage shared goals and common ground.In most discussions of sustainability either environmental quality or social justice issues are emphasized, but neither can be sup- ported wholly at the expense of the other.Nourishing humans, ensuring social justice, and providing a reasonable quality of life cannot be accomplished if agriculture’s resource base and environmental constraints are neglected.Likewise, few would argue that environmental considerations should be pursued at the expense of satisfying basic human needs.An equitable agricultural system must foster a decision-making process which is truly democratic, one which identifies not only what the costs and benefits are but how to distribute them fairly among all sectors of society.Many sustainability definitions, particularly those which guide applied sustainable agriculture programs, are based on the primacy of farm production and short-term profitability.

As sustainable agriculture programs have increasingly been incorporated into long-established agricultural institutions they have manifested the largely unquestioned intellectual assumptions and infrastructural constraints which characterize their parent institutions.This is problematic because conventional agricultural institutions have fostered many technologies and policies counter to sustainable agriculture goals.23 Such institutions have, for example, contributed to concentration within agriculture; have not generally benefited agricultural labor; and have systematically failed to examine their impact on the environment, the structure of rural households and communities, and the consequences of rural resident displacement.24 To situate new pro- grams designed to address these problems within the framework which produced them is of questionable value unless steps are taken to change the nature of that framework, for it determines the way its re- searchers see the world, pose questions, and define problems.When agriculture is viewed in a whole-systems context and sustainability is defined comprehensively, it is clear why the current popular focus on farm production practices is insufficient for achieving agricultural sustainability.Developing non-chemical pest management methods, for example, will effectively reduce pesticide use only if economic structures and policies encourage their adoption by farmers.More importantly, one cannot conclude that improved production practices will transform the agricultural system into one that meets all environmental, economic, and social sustainability goals.Social goals must be addressed explicitly.This is why production techniques such as organic farming, while a likely component of a sustainable food and agricultural system, cannot be thought of as synonymous with sustainable agriculture.Given the conventional institutional context of most state and federal sustainable agriculture programs it is not surprising that they tend to focus research on conventional priorities such as production practices and efficiency and have not, for the most part, aggressively addressed social and economic issues.Sustainability priorities – and the definitions which embody them – must be expanded to encompass the many factors affecting production and distribution as well as the larger environmental, economic, and social systems within which agriculture functions.This has been the focus of the Agroecology Program since its inception in 1982.Through conferences and publications* we have worked to expand the discussion and practice of integrating these aspects of sustainability.

Recently, the University of California Sustainable Agriculture Research and Education Program has broadened its agronomic focus to include social, economic, and policy issues.SAREP defines sustain- able agriculture as integrating “…three main goals – environmental health, economic profitability, and social and economic equity.”Their grant program, which encourages research and education on social, economic, and public policy issues affecting food and agriculture, could become a model for other sustain- able agriculture programs such as LISA.We believe that it is important to continue exploring the meaning of agricultural sustainability.Before an improved agricultural system can be developed the biases and structures that have led to agricultural problems must be closely examined and concrete goals articulated, based upon a broadened concept of agricultural sustainability.The concept of sustainability offered in this paper emphasizes that social goals are as important as environmental and economic goals, and widens the opportunity to move beyond the narrow agricultural priorities expressed in the past.It is based upon the whole-systems, interactive nature of all aspects of the agricultural system – that problems and their resolutions must be conceived not only in terms of their immediate time frames and local impacts, but just as importantly, in terms of their future time frames and their global impacts.It encourages emphasis on optimum production over maximum production, the long term along with the short term, the public’s best interest over special interests, and the contextualization of disciplinary work within interdisciplinary frameworks.Our hope is that this definition helps advance the discussion on developing a food and agriculture system that is sustainable for everyone.Global warming attributed to the anthropogenic emissions of greenhouse gases has increased the global temperature by ∼0.89 °C in the 20th century.Approximately 13% of total GHG emissions were contributed from agricultural lands and N2O emission from agriculture accounted for 61% of total anthropogenic N2O emissions.

The limited extent of ownership change may have limited the effects found in this study

Measuring costs per unit of output, the authors find that privatization increased the efficiency of firms operating in both competitive and non-competitive environments, and that the efficiency gains from privatization were significantly greater in non-competitive environments than in competitive ones.These results provide a uniquely controlled setting in which to study the effect of competition on relative efficiency, and also the relative importance of agency issues and soft budget constraint issues in publicly-owned firms.Since public firms should become less relatively less efficient than prive firms as competition increases, because soft budget constraints shield them from competitive pressures, and relatively more efficient as competition increases, because the observable performance of other firms reduces agency issues, the fact that efficiency gains from privatization attenuated with the level of competition provides evidence that the effects of agency issues dominated the effects of soft budget constraints in this study.The study also documents the existence of subsidies to public firms prior to privatization – amounting to 12.7% of GDP in Mexico – suggesting that reductions in agency-related issues due to competition had to surmount substantial soft budget constraint issues that presumably increased with the level of competition that firms faced.Because La Porta and Lopez-de-Silanes separates ownership effects by competition level, examines a large number of firms, and is exceptionally careful and thorough in its approach, it is one of the most persuasive studies in providing evidence of the effects of competition on ownership efficiency.The vast majority of studies that examine public and private efficiency differences in noncompetitive settings are studies of privatization efforts that compare the performance of enterprises before and after state ownership.

A complication in studying privatization programs is that ownership effects could take place gradually,nft hydroponic and might not be adequately captured just after privatization takes place.Additionally, the announcement of a government’s intentions to privatize sometimes preceded the actual transfer of ownership by several years, during which the perception of ownership transferrability and a period of “shake-out”could increase public firm efficiency.Lastly, privatization programs are typically accompanied by other regulatory changes – in particular, many governments shielded state-owned firms from competition, and undertook market liberalization measures either concurrently with privatization, or after a grace period during which newly privatized firms are shielded from competition.Unless these liberalization effects are separated, studies may compare public monopolies to private firms operating with limited competition, and thus conflate the effects of competition and ownership on efficiency.Of the 9 studies in non-competitive environments in our review, 5 study privatizations of telecommunications firms.Within this industry, Wallsten and Boylaud and Nicoletti both find no ownership effects from privatization, while Ros , Ramamurti , and Boles de Boer and Evans find that private firms are more efficient than state-owned firms.Wallsten studies the privatization of telecom monopolies in 30 countries across Africa and Latin America, from 1984 to 1997.Controlling for competition changes and other concurrent programs that may have affected firm efficiency, he finds no effect of privatization on labor productivity in the absence of additional regulatory measures.When privatized firms are faced with price regulation from an independent regulator, though, privatization yields efficiency benefits.This result is consistent with theory: By keeping prices low, regulators essentially create the pressure for efficiency that competition does, which differentially affects private firms if public firms face soft budget constraints.

Boylaud and Nicoletti study telecom privatizations in 23 OECD countries from 1991 to 1997, and similarly conclude that ownership did not affect labor productivity, when controlling for the level of competition and also the time to liberalization.However, both the number of competitors and decreases in the time to liberalization are associated with increases in productivity.The authors interpret the effects of time to liberalization as being due to the effects of potential competition, which may have stimulated managers and employees in public firms to increase efforts to avoid unemployment as profit margins were reduced.Such responses may be partially attributable to an anticipated reduction in cross subsidization across internal groups, which the authors describe as common prior to privatization.However, diminished agency issues would only occur when actual competitors emerged, and the separately significant effect of the number of competitors provides evidence that agency issues are important.Notable in this study is the fact that the government “generally maintained the largest single share of the PTOs capital and sometimes retained special voting rights in the privatised enterprises.”Indeed, some studies find that ownership change is only effective when firms are fully privatized.Ros , Ramamurti , and Boles de Boer and Evans all find productivity improvements in telecom firms following privatization.Ros studies a mix of firms that were either privatized during the period from 1986 to 1995, or were private throughout the period, and measures ownership effects on labor productivity while controlling for competition.Ramamurti finds significant ownership effects in 3 of 4 telecoms studied, but does not separate competition and ownership effects, and acknowledges that the level of competition may have changed after privatization.Boles de Boer and Evans provide a case study of the 1990 privatization of Telecom New Zealand, and study efficiency changes during the period from 1987, when the market was liberalized, to 1993, when the first actual competitors entered.

As a case study, the evidence the auhtors present is inherently less generalizable than that of other studies.On the other hand, the authors are less restricted to use variables that are common across all firms being studied, and can be precise about the levels of competition and other contextual details of the privatization.The study measures productivity as the level of output per cost of inputs, where inputs include labor, material inputs, and capital.They find that productivity increased by 10% per year during the study period, and that unit costs reduced by 5.8% per year.Like Ramamurti , the authors do not separate the effects of competition and ownership in their examination; however, competitors only emerged in the final year of the study, and potential competition due to deregulation was present throughout.A concern permeating all the telecom studies is that the effects of ownership are averaged across both the monopoly conditions and conditions of limited competition following market liberalization, making it impossible to isolate the precise market conditions under which these effects occur.Caves and Christiansen provides some evidence on ownership effects in a static competitive environment, by comparing two Canadian railroads – one private, one state owned – who were each other’s sole competitors for many decades.Measuring the cost of inputs per unit of output, they find that the state-owned railroad was initially less productive than the private one, but find no significant differences between the two by the end of the 19- year study period.Since the railroads began to compete 30 years prior to the study period, their findings suggest that efficiency improvements may take a very long time to adjust to a change in the level of competition.Assuming this is true, the privatization studies that average efficiency effects across short periods of time during which monopolies were exposed to competition may be best placed as studies reporting relative efficiencies under monopoly conditions.Both Caves and Christiansen and Ramamurti make another contribution to the analysis: While they both study railroads that faced little or no direct competition , both argue that the railroads they study faced substantial indirect presure from other forms of transportation that competed for both passengers and freight.Ramamurti explicitly documents the market share of the Argentinian railroad he studies, and finds that only 8% of freight and intercity travel were handled by the railroad, along with 15-20% of suburban travel.Since ameliorating agency issues requires the observation of direct competitors, both studies exist in a non-competitive environment for agency purposes.However, indirect competitive pressure reduced prices and profit margins, and thus expand the efficiency gap between public and private firms due to soft budget constraints.With both unmitigated agency issues and exacerbated soft budget constraint issues, theory would predict the efficiency gap between these railroads to be at their largest.

Indeed, Ramamurti finds that privatization resulted in a 370% increase in labor productivity,nft system and explicitly documents the existence of railroad subsidies to the state-owned Argentinian railroad prior to privatization.Caves and Christiansen, who paradoxically find no significant differences by the end of their study, also point out that the state’s role was “restricted to that of a stockholder”in their study – no subsidies were provided to the state owned railroad.Both of these studies point to the potential relevance of state subsidies in reducing efficiency gains, particularly in environments where firms face substantial competitive pressure.Ehrlich et al conduct a very careful study of 23 airlines with varying ownership types, and estimate a model wherein productivity is endogenously and separately determined for each airline.The authors include several robustness checks using alternate specifications, and do not consistently find level differences between the cost efficiencies of private and public airlines across all specifications.However, they find that private firms have a relatively higher rate of cost reduction over time in each specification that they test.To examine whether ownership effects vary with competition levels, the authors separately test the efficiency of the subset of airlines in the US, Canada, France, and the UK, arguing that that they exist in competitive environments because there are more domestic competitors within these nations.Although the authors find qualitatively similar results for these airlines, it is unclear whether airlines in those four countries might not face very different competitive environments from airlines that are the sole carriers for their countries, to the extent that airlines compete internationally, and also because – as the authors themselves point out – the International Air Transport Association coordinated fares and erected barriers to entry for all airlines during the period of study.Also notable in this study is the fact that both private and public airlines have historically been subject to soft budget constraints via “bailouts”,so that state-owned airlines may not be subject to a widened efficiency gap at higher competition levels in this industry.Funkhouser and MacAvoy study firms in a variety of industries in Indonesia, and compare their efficiencies by computing the ratio of each firm’s average costs to the appropriate industry average.Although they find no differences at the 5% level, private firms are significantly more efficient at the 10% level.Cullinane, Song, and Gray use a method that is increasingly popular in the recent literature to estimate cost efficiency: stochastic production frontier function estimation.Rather than looking at the cost of producing a unit of each output separately, or creating an index to evaluate the cost of all outputs simultaneously, the method establishes an efficient frontier of production using the data available, and evaluates each firm’s efficiency based on its distance from the frontier.The authors study 15 container ports in Asia, and find no significant differences in efficiency based on ownership.Of the 7 studies reviewed that study competitive environments, only 3 found that private firms were more efficient than state-owned firms.Of those 3, Vining and Boardman and Diboky both used measures of efficiency that are sensitive to revenue gains; it is unclear whether the measures used in Chen and Yeh are price-sensitive or not.As the evidence in Section 1.3.1 suggests, the efficiency of private firms may be overstated using price-sensitive measures, when markets are not highly competitive.Diboky and Chen and Yeh are similar in other respects.Both studies use Data Envelopment Analysis to estimate the technical efficiency of public and private firms that contemporaneously exist over the study period.Diboky studies results for 300 insurance firms in Germany that compete directly with each other; Chen and Yeh examine 34 domestic banks in Taiwan that face additional competition from 67 banks that are partially foreign-owned.Diboky measures firm “outputs”as gross premiums and net income, while Chen and Yeh measure quantities of loan services and portfolio investment.Chen and Yeh find that private banks outperform public banks; Diboky finds that public banks were substantially less efficient than either private or “mutual”banks of mixed public and private ownership.Vining and Boardman study a variety of industries whose four-firm concentration ratios vary from 14% to 43%, suggesting that the competitive environment in their study bordered on monopolistic competition, by the standards of this review.In such an environment, their use of efficiency metrics such as sales per employee and sales per asset may have caused private firms to appear more efficient than state-owned firms for reasons of higher prices, rather than lower unit costs.