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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. Chong Lu, 2020. "Does household laborer migration promote farmland abandonment in China?," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1804-1836, December.
    2. Jin, Songqing & Deininger, Klaus, 2009. "Land rental markets in the process of rural structural transformation: Productivity and equity impacts from China," Journal of Comparative Economics, Elsevier, vol. 37(4), pages 629-646, December.
    3. Jiao, Xi & Pouliot, Mariève & Walelign, Solomon Zena, 2017. "Livelihood Strategies and Dynamics in Rural Cambodia," World Development, Elsevier, vol. 97(C), pages 266-278.
    4. Chong Jiang & Wei Song, 2021. "Degree of Abandoned Cropland and Socioeconomic Impact Factors in China: Multi-Level Analysis Model Based on the Farmer and District/County Levels," Land, MDPI, vol. 11(1), pages 1-25, December.
    5. Xin, Liangjie & Li, Xiubin, 2018. "China should not massively reclaim new farmland," Land Use Policy, Elsevier, vol. 72(C), pages 12-15.
    6. Hualin Xie & Peng Wang & Guanrong Yao, 2014. "Exploring the Dynamic Mechanisms of Farmland Abandonment Based on a Spatially Explicit Economic Model for Environmental Sustainability: A Case Study in Jiangxi Province, China," Sustainability, MDPI, vol. 6(3), pages 1-23, March.
    7. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    8. He, Yafen & Xie, Hualin & Peng, Chaozhong, 2020. "Analyzing the behavioural mechanism of farmland abandonment in the hilly mountainous areas in China from the perspective of farming household diversity," Land Use Policy, Elsevier, vol. 99(C).
    9. Xu, Dingde & Deng, Xin & Huang, Kai & Liu, Yi & Yong, Zhuolin & Liu, Shaoquan, 2019. "Relationships between labor migration and cropland abandonment in rural China from the perspective of village types," Land Use Policy, Elsevier, vol. 88(C).
    10. Sikor, Thomas & Müller, Daniel & Stahl, Johannes, 2009. "Land Fragmentation and Cropland Abandonment in Albania: Implications for the Roles of State and Community in Post-Socialist Land Consolidation," World Development, Elsevier, vol. 37(8), pages 1411-1423, August.
    11. Han Li & Wei Song, 2021. "Cropland Abandonment and Influencing Factors in Chongqing, China," Land, MDPI, vol. 10(11), pages 1-21, November.
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