The Application of the Binary Logistic Regression Mathematical Model in Farmers’ Willingness for Land Transfer: Based on Dual Rationality Theory
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Abstract
In China’s rural land system, land ownership is collectively held, and households obtain contracting rights through agreements, granting them operational rights over the land. The transfer of these operational rights enhances agricultural productivity and optimizes rural resource allocation, with farmers’ willingness to engage in such transfers being a critical factor in determining the efficiency of land transfer. This study, based on the “dual rationality theory”, constructs a theoretical model of farmers’ land transfer willingness from the dual perspectives of “instrumental rationality” and “value rationality”. A survey of 456 households in 17 typical indigenous villages in Guizhou Province, China, was conducted to investigate their willingness to transfer land. The data were analyzed using a binary logistic regression model and SPSS software, exploring the relationship between the variables of “instrumental rationality” and “value rationality” and the farmers’ willingness to transfer land. The findings reveal that, in terms of “instrumental rationality”, anticipated economic benefits and a high level of trust in rural collective organizations are significant factors influencing farmers’ decisions regarding land transfers. On the other hand, elements of “value rationality”, such as a deep emotional attachment to the land, strong identification with their status as farmers, and the emotional significance of the land, play a crucial role in shaping their willingness to transfer land. To facilitate an orderly and effective land transfer process, it is essential to develop and innovate land transfer models suited to local conditions, implement flexible pricing mechanisms, and establish land transfer platforms primarily managed by village committees. Additionally, reforms in the rural social security system should be prioritized, and the implementation of land transfers should consider cultural nuances.