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Driving Mechanisms of Cropland Abandonment from the Perspectives of Household and Topography in the Poyang Lake Region, China

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  • Guohua Ding

    (School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China)

  • Mingjun Ding

    (School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China
    Key Lab of Poyang Lake Wetland, Watershed Research of Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China)

  • Kun Xie

    (School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China
    School of Special Education, Yuzhang Normal University, Nanchang 330103, China)

  • Jingru Li

    (School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China)

Abstract

Cropland abandonment is driven by various mechanisms and is best viewed from multiple perspectives to suggest targeted policy changes which may change the status quo of abandonment. Here, we systematically analyze the characteristics of abandonment and its driving mechanisms by different farming households (pure, part-time, and non-farm) in three topographic regions of the Poyang Lake region using a binary logistic regression model. Results show that: (1) The overall abandonment probability in the Poyang Lake region is largest for non-farm households, followed by part-time households and pure households. In the mountainous region, abandonment is largest for non-farm households, followed by pure households and part-time households. Both the hilly and plain regions show the largest abandonment probability for pure households, followed by part-time households, and non-farm households. (2) The low agricultural economic benefits and the uneconomical investments of time in plots are the main abandonment determinants for pure households. Economic efficiency, both the time invested in plots and economic efficiency, are key abandonment determinants for pure households in the mountainous and plain regions, respectively. (3) Labor shortage and plots which are time-consuming and unfavorable to cultivation are the main abandonment determinants for part-time households, with different factors in different topographic regions. (4) For non-farm households, many factors can influence the occurrence of abandonment. Non-farm households in the mountainous and hilly regions are more influenced by non-farm work and the number of farming workers, respectively; in addition, the inconvenience of using agricultural machinery has a significant influence.

Suggested Citation

  • Guohua Ding & Mingjun Ding & Kun Xie & Jingru Li, 2022. "Driving Mechanisms of Cropland Abandonment from the Perspectives of Household and Topography in the Poyang Lake Region, China," Land, MDPI, vol. 11(6), pages 1-22, June.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:939-:d:842034
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    References listed on IDEAS

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    1. Hong, Changqiao & Prishchepov, Alexander V. & Bavorova, Miroslava, 2024. "Cropland abandonment in mountainous China: Patterns and determinants at multiple scales and policy implications," Land Use Policy, Elsevier, vol. 145(C).
    2. Buting Hong & Jicheng Wang & Jiangtao Xiao & Quanzhi Yuan & Ping Ren, 2025. "Spatiotemporal Patterns and Determinants of Cropland Abandonment in Mountainous Regions of China: A Case Study of Sichuan Province," Land, MDPI, vol. 14(3), pages 1-25, March.
    3. Yue Zhang & Guihua Liu & Zhixing Ma & Xin Deng & Jiahao Song & Dingde Xu, 2022. "The Influence of Land Attachment on Land Abandonment from the Perspective of Generational Difference: Evidence from Sichuan Province, China," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
    4. Pengjing Zhang & Tao Xiong, 2025. "Can Agricultural Subsidies Reduce Cropland Abandonment in Rural China?," Agriculture, MDPI, vol. 15(8), pages 1-21, April.
    5. Meng Qu & Kai Zhao & Renhui Zhang & Yuan Gao & Jing Wang, 2022. "Divergence between Willingness and Behavior of Farmers to Purchase Socialized Agricultural Services: From a Heterogeneity Perspective of Land Scale," Land, MDPI, vol. 11(8), pages 1-21, July.

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