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Spatiotemporal evolution and driving factors of agricultural land transfer in China.
Chen, Haijiang; Ho, Hong-Wai; Ji, Chunli; Zheng, Haoqing; Zhang, Songlin.
Afiliación
  • Chen H; Business School, Shaoxing University, Shaoxing, Zhejiang, China.
  • Ho HW; Centre for Gaming and Tourism Studies, Macao Polytechnic University, Taipa, Macao, China.
  • Ji C; Centre for Gaming and Tourism Studies, Macao Polytechnic University, Taipa, Macao, China.
  • Zheng H; School of Economics, Zhejiang Gongshang University, Zhejiang, Qiantang District, China.
  • Zhang S; Business School, Shaoxing University, Shaoxing, Zhejiang, China.
PLoS One ; 19(9): e0310532, 2024.
Article en En | MEDLINE | ID: mdl-39292710
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Urbanización / Agricultura Límite: Humans País/Región como asunto: Asia Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Urbanización / Agricultura Límite: Humans País/Región como asunto: Asia Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos