Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Sustain. Food Syst.

Sec. Land, Livelihoods and Food Security

Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1657765

This article is part of the Research TopicDynamic Land Use and Socioeconomic-Environmental Interaction Patterns: Bridging Sustainability and DevelopmentView all 10 articles

Regulation Effect of Fiscal Subsidies for Agriculture on Farmland Abandonment: Empirical Evidence from China

Provisionally accepted
  • 1Southwestern University of Finance and Economics,, Sichuan Academy of Social Sciences, Chengdu, China
  • 2Southwestern University of Finance and Economics, Chengdu, China
  • 3Chengdu University of Technology, Chengdu, China
  • 4Chengdu Vocational and Technical College of Industry, Chengdu, China
  • 5Mianyang Normal University, Mianyang, China

The final, formatted version of the article will be published soon.

For full guidelines please refer to Author Guidelines This study employs a neoclassical growth model to theoretically examine how fiscal subsidies for agriculture influence farmland abandonment. Using panel data from 2003–2020 across 30 Chinese provinces, static and dynamic fixed effect models are utilized to analyze the effects of fiscal subsidies on both the intensity of farmland abandonment and actual multiple cropping rates. Findings reveal that: (1) Fiscal subsidies contribute to increased agricultural activity but reduce abandonment intensity; (2) Farmland abandonment exhibits path dependence, with prior conditions influencing current rates; (3) Mechanization levels, natural conditions, and agricultural employment populations significantly impact the effectiveness of fiscal subsidies in curbing abandonment. This study provides developing countries with a reference framework for formulating targeted policies to manage farmland abandonment.

Keywords: Fiscal subsidies, Farmland abandonment, Neoclassical Growth Model, agriculturalproduction, replanting index

Received: 01 Jul 2025; Accepted: 02 Oct 2025.

Copyright: © 2025 Li, Li and Lin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Junsong Li, lijunsong@cdivtc.edu.cn

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.