Analysis of Influencing Factors on Farmers’ Willingness to Pay for the Use of Residential Land Based on Supervised Machine Learning Algorithms

Analysis of Influencing Factors on Farmers’ Willingness to Pay for the Use of Residential Land Based on Supervised Machine Learning Algorithms

Aimed at advancing the reform of the Paid Use of Residential Land, this study investigates the willingness to pay among farmers and its underlying factors. Based on a Logistic Regression analysis of a micro-survey of 450 pieces of data from the Sichuan Province in 2023, we evaluated the effects of t...

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Bibliographic Details
Main Authors: Jiafang Jin, Xinyi Li, Guoxiu Liu, Xiaowen Dai, Ruiping Ran
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Land
Subjects:
paid use of rural residential
willingness
farmers
distributed cognition
machine learning
Online Access:https://www.mdpi.com/2073-445X/13/3/387

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