IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i9p1791-d1240480.html
   My bibliography  Save this article

Study on the Causes of Differences in Cropland Abandonment Levels among Farming Households Based on Hierarchical Linear Model—13,120 Farming Households in 26 Provinces of China as an Example

Author

Listed:
  • Xiangdong Wang

    (School of Management, Lanzhou University, Lanzhou 730000, China
    Institute of County Economic Development & Rural Revitalization Strategy, Lanzhou 730000, China)

  • Decheng Zhao

    (School of Management, Lanzhou University, Lanzhou 730000, China)

Abstract

Cropland abandonment is a widespread phenomenon with an increasing trend around the world, including China. Cropland abandonment is the result of a multi-scale and multifactor nested structure. In order to comprehensively identify the individual and background effects, this study explores the causes of the differences in farmland abandonment levels at two levels: farm household and village, based on a hierarchical linear model. The results show that (1) 83.63% of the differences in farm abandonment rates are differences in farm households, while 16.37% are differences in their villages; (2) several factors, including whether the head of household is healthier, per capita cropland area, ratio of transferred farmland, possession of large-scale agricultural production machinery or livestock for agricultural production, ratio of agricultural income, and whether there are village cadres, have a significant negative impact on abandonment rates at the farm household level, while at the village level, commuting distance, whether it is a suburb of a large or medium-sized city, topography of the village is plain or not, and the ratio of the number of people in agricultural production in the village have a significant positive impact on abandonment rates. Furthermore, whether it has experienced land expropriation has a significant positive effect on the abandonment rate; (3) commuting distance weakens the negative correlation between the ratio of transferred cropland and the ratio of agricultural income and the abandonment rate. In addition, whether it is a suburb of a large or medium-sized city strengthens the negative correlation between whether it owns large-scale agricultural production machinery or livestock and the abandonment rate, and whether the topography of the village is plain weakens the negative correlation between the possession of large agricultural production machinery or livestock for agricultural production and the agricultural income ratio and the abandonment rate. Furthermore, ratio of the number of people in agricultural production in the village weakens the negative correlation between the ratio of transferred cropland and abandonment rate, and whether the village has experienced land expropriation strengthens the negative correlation between the ratio of agricultural income and abandonment rate.

Suggested Citation

  • Xiangdong Wang & Decheng Zhao, 2023. "Study on the Causes of Differences in Cropland Abandonment Levels among Farming Households Based on Hierarchical Linear Model—13,120 Farming Households in 26 Provinces of China as an Example," Land, MDPI, vol. 12(9), pages 1-22, September.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:9:p:1791-:d:1240480
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/9/1791/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/9/1791/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guandong Su & Hidenori Okahashi & Lin Chen, 2018. "Spatial Pattern of Farmland Abandonment in Japan: Identification and Determinants," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    2. Suresh Chaudhary & Yukuan Wang & Amod Mani Dixit & Narendra Raj Khanal & Pei Xu & Bin Fu & Kun Yan & Qin Liu & Yafeng Lu & Ming Li, 2020. "A Synopsis of Farmland Abandonment and Its Driving Factors in Nepal," Land, MDPI, vol. 9(3), pages 1-22, March.
    3. Wojciech Sroka & Bernd Pölling & Tomasz Wojewodzic & Miroslaw Strus & Paulina Stolarczyk & Olga Podlinska, 2019. "Determinants of Farmland Abandonment in Selected Metropolitan Areas of Poland: A Spatial Analysis on the Basis of Regression Trees and Interviews with Experts," Sustainability, MDPI, vol. 11(11), pages 1-23, May.
    4. Shi, Tiechou & Li, Xiubin & Xin, Liangjie & Xu, Xiaohong, 2018. "The spatial distribution of farmland abandonment and its influential factors at the township level: A case study in the mountainous area of China," Land Use Policy, Elsevier, vol. 70(C), pages 510-520.
    5. Xin Deng & Miao Zeng & Dingde Xu & Yanbin Qi, 2022. "Why do landslides impact farmland abandonment? Evidence from hilly and mountainous areas of rural China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(1), pages 699-718, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Subedi, Yuba Raj & Kristiansen, Paul & Cacho, Oscar, 2022. "Reutilising abandoned cropland in the Hill agroecological region of Nepal: Options and farmers’ preferences," Land Use Policy, Elsevier, vol. 117(C).
    2. Bo Liu & Wei Song & Qian Sun, 2022. "Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(23), pages 1-30, November.
    3. Han Li & Wei Song, 2021. "Cropland Abandonment and Influencing Factors in Chongqing, China," Land, MDPI, vol. 10(11), pages 1-21, November.
    4. Shinichi Kitano, 2021. "Estimation of Determinants of Farmland Abandonment and Its Data Problems," Land, MDPI, vol. 10(6), pages 1-17, June.
    5. Cao, Jianjun & Wei, Chen & Adamowski, Jan F. & Zhou, Junju & Liu, Chunfang & Zhu, Guofeng & Dong, Xiaogang & Zhang, Xiaofang & Zhao, Huijun & Feng, Qi, 2020. "Could arid and semi-arid abandoned lands prove ecologically or economically valuable if they afford greater soil organic carbon storage than afforested lands in China’s Loess Plateau?," Land Use Policy, Elsevier, vol. 99(C).
    6. Lee, Chien-Chiang & Wang, Chang-song, 2022. "Does natural resources matter for sustainable energy development in China: The role of technological progress," Resources Policy, Elsevier, vol. 79(C).
    7. Ziyu Jia & Yan Jiao & Wei Zhang & Zheng Chen, 2022. "Rural Tourism Competitiveness and Development Mode, a Case Study from Chinese Township Scale Using Integrated Multi-Source Data," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    8. Yusong Xie & Katsue Fukamachi & Wen Wang & Shozo Shibata, 2023. "Exploring Land Use Management Strategies through Morphological Spatial Patterns Using a Climate–Socioeconomic-Based Land Use Simulation Modeling Framework," Land, MDPI, vol. 12(9), pages 1-24, September.
    9. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Rural land system reforms in China: History, issues, measures and prospects," Land Use Policy, Elsevier, vol. 91(C).
    10. Junna Liu & Siyan Zeng & Jing Ma & Yuanyuan Chang & Yan Sun & Fu Chen, 2022. "The Impacts of Rapid Urbanization on Farmland Marginalization: A Case Study of the Yangtze River Delta, China," Agriculture, MDPI, vol. 12(8), pages 1-22, August.
    11. 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.
    12. 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).
    13. Yuanyuan Zhu & Yukuan Wang & Bin Fu & Qin Liu & Ming Li & Kun Yan, 2021. "How Are Rural Youths’ Agricultural Skills? Empirical Results and Implications in Southwest China," Agriculture, MDPI, vol. 11(9), pages 1-17, September.
    14. Prishchepov, Alexander V. & Ponkina, Elena V. & Sun, Zhanli & Bavorova, Miroslava & Yekimovskaja, Olga A., 2021. "Revealing the intentions of farmers to recultivate abandoned farmland: A case study of the Buryat Republic in Russia," Land Use Policy, Elsevier, vol. 107(C).
    15. Adam Pawlewicz & Katarzyna Pawlewicz, 2023. "The Risk of Agricultural Land Abandonment as a Socioeconomic Challenge for the Development of Agriculture in the European Union," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    16. Zhang, Yingnan & Long, Hualou & Li, Yurui & Ge, Dazhuan & Tu, Shuangshuang, 2020. "How does off-farm work affect chemical fertilizer application? Evidence from China’s mountainous and plain areas," Land Use Policy, Elsevier, vol. 99(C).
    17. 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).
    18. Minjie Li & Jian Wang & Yihui Chen, 2019. "Evaluation and Influencing Factors of Sustainable Development Capability of Agriculture in Countries along the Belt and Road Route," Sustainability, MDPI, vol. 11(7), pages 1-28, April.
    19. Joohun Han & Chanjin Chung, 2021. "Impact of Aging and Underemployment on Income Disparity between Agricultural and Non-Agricultural Households," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    20. Mohan Kumar Rai & Basanta Paudel & Yili Zhang & Pashupati Nepal & Narendra Raj Khanal & Linshan Liu & Raju Rai, 2023. "Appraisal of Empirical Studies on Land-Use and Land-Cover Changes and Their Impact on Ecosystem Services in Nepal Himalaya," Sustainability, MDPI, vol. 15(9), pages 1-19, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2023:i:9:p:1791-:d:1240480. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.