Study of the Impact of Livelihood Differentiation on the Decision-making Behavior of Farmers' Adoption of Environment-friendly Technology
- ZHANG Jie, CHEN Mei-qiu, YAN Yu-qi, LI Xing-yi
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Based on the micro-data from the surveying on 1092 farmer households in Jiangxi Province, the Triple-Hurdle model was used for analyses on the impact of farmer households' willingness to adopt, their adoption behavior, and their decision-making behavior on environment-friendly technologies. Seven dimensions of livelihood capital, including natural, manpower, social, physical, financial, ecological, and psychological were considered for the analyses. The analyses started from the prominent phenomenon of livelihood differentiation of farmer households in the current rural society. The results show that:(1) The number of farmer households who are willing to adopt soil testing and fertilizer application technology accounts for 81.96% of the sample, of which 24.13% have finally adopted the technology, and the degree of adoption is 91.60%, which still has more room for improvement. (2) Farmer households' willingness to adopt, adoption behavior and adoption degree are influenced by a combination of the seven demensions of livelihood capitals and are somewhat heterogeneous. (3) Human capital and social capital have less influence on farmer households' adoption behavior of environment-friendly technologies, and social capital and ecological capital have less influence on farmer households' adoption degree. Based on the results of the survey, for promoting the transformation of farmer households' willingness into real actions, the following measures are proposed:to increase investment for farmland water conservancy and rural education, to improve and perfect land transfer, to increase subsidies for the purchase of large farm machinery, to promote the use of energy-saving products, to strengthen the publicity of relevant technologies, to improve the construction of demonstration, training and promotion systems, and to develop corresponding technical service measures according to various types of farmer households.