文献类型：期刊文献

英文题名：Spatiotemporal evolution and driving factors of agricultural land transfer in China

作者：Chen, Haijiang[1];Ho, Hong-Wai[2];Ji, Chunli[2];Zheng, Haoqing[3];Zhang, Songlin[1]

机构：[1]Shaoxing Univ, Business Sch, Shaoxing, Zhejiang, Peoples R China;[2]Macao Polytech Univ, Ctr Gaming & Tourism Studies, Taipa, Macao, Peoples R China;[3]Zhejiang Gongshang Univ, Sch Econ, Zhejiang, Peoples R China

年份：2024

卷号：19

期号：9

外文期刊名：PLOS ONE

收录：SCI-EXPANDED(收录号：WOS:001321095300015)、、Scopus(收录号：2-s2.0-85204361234)、WOS

基金：This work is supported by the National Social Science Foundation of China [Grant Number: 22BJL070]; the Zhejiang Province Philosophy and Social Science Leading Talents Training Special project sub-project [Grant Number: 23YJRC14ZD-3YB].The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

语种：英文

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