PLoS ONE, Journal Year: 2024, Volume and Issue: 19(9), P. e0310532 - e0310532

Published: Sept. 18, 2024

This paper systematically analyzes the spatiotemporal evolution trends and macroeconomic driving factors of farmland transfer at provincial level in China since 2005, aiming to offer a new perspective for understanding dynamic mechanisms China's transfer. Through integrated use kernel density estimation, Markov model, panel quantile regression methods, this study finds following: (1) Farmland rates across Chinese provinces show an overall upward trend, but regional differences exhibit "U-shaped" characterized by initially narrowing then widening; (2) although have relatively stable levels, there is potential transitions; (3) such as per capita arable land, farmers' disposable income, social security level, urban‒rural income gap, urbanization rate, government intervention, marketization significantly promote transfer, while inclusive finance inhibits agricultural mechanization population aging heterogeneous impacts. Therefore, achieve convergence low regions medium levels promoting medium-level higher it recommended that increase support mechanization, optimize processes intervention strategies. The main contributions are revealing patterns employing methods explore impacts factors, providing more precise detailed empirical government's formulation policies.

Language: Английский