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Farmers’ Willingness To Adopt Technologies For Improving Cultivated Land Quality And Its Heterogeneity Analysis

Posted on:2023-07-25Degree:MasterType:Thesis
Country:ChinaCandidate:H P ZhaoFull Text:PDF
GTID:2543307022990419Subject:Public Management
Abstract/Summary:PDF Full Text Request
In recent years,the large-scale use of traditional production factors such as chemical fertilizers,pesticides and agricultural film has caused serious damage to the quality of cultivated land.The "14th Five-Year" National Agricultural Green Development Plan and the No.1 Central Document in 2021 propose to strengthen the protection and construction of cultivated land quality through methods such as reducing the application of chemical fertilizers and pesticides,returning straw to the field,and integrating planting and breeding cycles.Therefore,it is urgent to vigorously promote and use technologies of improving the quality of cultivated land.As the micro-implementer of cultivated land protection,farmers’ willingness to adopt there technologies will greatly affect the actual effect of cultivated land protection and the development prospect of ecological circular agriculture.Strengthening the relevant research on farmers’ willingness to adopt there technologies have important practical significance for alleviating the current contradiction between the efficient development of agriculture and the steady improvement of the ecological environment,promoting the green development of agriculture,and assisting the implementation of the rural revitalization strategy.This study takes Hutubi County as the research area,based on 306 farmer household survey data,and takes TPB theory as the analysis framework,and on the basis of analyzing farmers’ cognition of farmland quality improvement technologies,to measure farmers’ willingness to adopt ten technologies and analysis,and used the Ordered-Logistic model to carry out regression analysis to find out the factors affecting farmers’ willingness to adopt technologies and its heterogeneity,and draw the following three conclusions:(1)52.62% of farmers are willing to adopt the technologies,47.38% of farmers still hold an unwilling attitude,indicating that farmers need to continue to be guided to adopt this technologies;(2)Risk expectations,ecological environment awareness,laws and regulations awareness,information dissemination,degree of influence of neighbors and policies subsidy satisfaction are the key factor affecting farmers’ willingness to adopt technologies for improving the quality of cultivated land;(3)Under different grouping conditions,the factors affecting farmers’ willingness to adopt technologies are different: farmers with low awareness of the ecological environment are vulnerable to risk expectations and policy subsidies;farmers with low awareness of laws and regulations are more likely to be affected by the degree of concurrent employment and ecological environment awareness;policy subsidy satisfaction,awareness of laws and regulations,and household annual net income have a stronger influence on the willingness of farmers to adopt technologies for improving the quality of cultivated land in their neighbors.In view of this,it is proposed to increase financial support to reduce the risk of farmers’ management;technologies should be publicized and promoted to improve farmers’ cognitive level;production exchange platforms and technologies promotion demonstration sites should be constructed;differentiated incentive policies are supposed to formulat according to different people,in order to improve farmers’ willingness to adopt technology to improve the quality of cultivated land,and to promote the transformation of farmers’ willingness to protect cultivated land into actual behavior,in order to improve farmers’ willingness to adopt technologies to improve the quality of cultivated land,and to promote the transformation of farmers’ willingness to protect cultivated land into actual behavior.
Keywords/Search Tags:Technologies for improving farmland quality, Farmers’ willingness to adopt, Influencing factors, Heterogeneity
PDF Full Text Request
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