All the variances were statistically significant at 95% confidence level during the analysis. The factor loadings are labeled on arrows from the latent variables to their respective variables, whiles the path coefficients, β are on the paths from one latent variable to another. The model fit indices listed in Table 5 asserts that the observed research model’s goodness-of-fit was satisfactory. The purpose of the study was to examine the factors that encourage the youth to champion agricultural farming in Ghana. Using the Exploratory Factor Analysis, the study implemented factors such as motivation, technology, economics,and external government policies that presumed to have significant effects on youth farming. Figure 2 gives the graphical representation of these relationships.The study observed that among the hypotheses which were significant to the effective assessments of the factors toward youth farming, technology accounts for a greater portion of the variance explained. Thus, signifying technology as a major determining factor that influences youth farming.
We observe that technology has a positive significant relationship with youth farming, 4×8 flood tray which means that technology has a direct influence on youth going into farming which toes the line of initial expectation. Researchers such as Bacco et al. , and Yuet al. , also confirmed technology’s influence on youth and farming.Also, there was a statistically significant association between government policies and youth farming . As presented in Figure 2; government policies equally have a direct influence on youth opting to farm. Tanko, confirmed that external activities such as government policies, religion, culture,and the like directly influence youth farming.Furthermore, the relationship between motivation and youth farming was surprisingly not significant, in statistical terms. The authors discovered that the indicators for motivation were basically concerned about intrinsic motivation, other than the general motivation which would have given an unswerving influence on the youth farm, as was expected by the authors . It should be worth noticing that some indicators of government policy account for extrinsic kind of motivation which talks about incentive packages to entice the youth to engage in agricultural farming. Supported by Damba et al., motivation influence people’s behavior, especially the youth, to go into the variable providing the source of motivation.
The result denotes that the relationship between economic and youth farming is not statistically significant, ebb flow tray yet the interaction of economic factors with motivation increases the absolute total effect of motivation on youth farming. This means that when the youth is intrinsically motivated, their economic status will boost their interest in farming and researchers such as Saiz-rubio, confirmed economic progress inspires the youth to practice agriculture. The youth are expected to be more inclined hence more likely when there is an ideal financial situation.In addition, other variables such as attitude and knowledge though have no direct influence on youth farming; they moderate significantly on technology application in farming to drive the youth to have interest in agricultural farming.Finally, besides the previously discussed factors, other indicators such as the number of family members engaged in farming , predominant occupation of the locals, the level of education of the youth,and the availability of white-collar job or unemployment rate, among others have a great influence on the youth’s involvement in farming.
This contemporary study analyses four empirical factors such as technology,motivation, economic and government policies impact on youth farming. Still, other factors such as motivation, economic and governmental policies equally have encouraged the youth. The application and integration of these factors have been extensively accepted as the key elements that inspired youth to go into farming efficiently and effectively. The main result of the analyses shows their integration roles cannot be underestimated.Technology was identified as a universal modern approach for the current generation of youth, who can use technology to accomplish a greater solution to humanity’s food insecurity, especially on the African continent.