Land recuperation is an important institutional guarantee for green agricultural development and an important measure to promote rural revitalization. Asset specificity is a crucial factor that affects farmers’ subsequent willingness to participate in land recuperation. Based on the perspective of farmer differentiation, this study uses survey data of 605 farmers in four counties of Gansu Province and employs the entropy method and the double-hurdle model to measure asset specificity and how it affects the subsequent willingness of different types of farmers to participate in land recuperation. The results show that: (1) farmers’ willingness to participate in land recuperation increases with the degree of their part-time occupations; (2) geographical location specificity has a significant negative effect on farmers’ intention and degree of subsequent land recuperations, and the impacts on non-farmers and II part-time farmers are significantly smaller than that on pure farmers and part-time farmers; (3) physical asset specificity has the most negligible influence on farmers’ subsequent willingness to participate; (4) human capital specificity has a significant negative impact on the intention and degree of land recuperation by farmers, and the effect is more significant for pure farmers than non-farmers; (5) factors such as land recuperation compensation satisfaction, land recuperation policy trust, social connection, and off-farm employment willingness promote the subsequent land recuperation willingness and degree of land recuperation of farmers, while the cultivated land area reduces the subsequent degree of participation in land recuperation.
Fallow is an important institutional guarantee for green agricultural development and an important measure to promote rural revitalization. Asset specificity is a crucial factor that affects farmers’ willingness to participate in fallow. In order to improve farmers’ willingness of to fallow and promote the long-term promotion of fallow system, based on the perspective of farmer differentiation, a total of 1,240 micro survey data in four cities of Gansu province was used to quantify the asset specificity by the entropy method. A multivariate ordered Logit model and a double-hurdle model were established to explore the effects of asset specificity on the willingness of farmers with different degrees of differentiation. The results show that: 1) There are differences in fallow willingness among different types of farmers. The fallow willingness of non-farmers and II part-time farmers is generally stronger than that of pure farmers and I part-time farmers. 2) Geographical location specificity has a significant negative impact on the fallow willingness of the four types of non-fallow farmers, and has significant negative impacts on the subsequent fallow willingness and fallow degree of the four types of fallow farmers. 3) Physical asset specificity has a significant negative effect on the fallow willingness of pure farmers, I part-time and II part-time farmers among non-fallow farmers, but has little effect on the subsequent fallow willingness of fallow farmers. 4) Human capital specificity has a significant negative impact on the fallow willingness of the four types of non-fallow farmers, and has a significant negative impact on the subsequent fallow willingness and fallow degree of the four types of fallow farmers.
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