IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i6p1132-d1662072.html
   My bibliography  Save this article

Risk Identification and Spatiotemporal Evolution in Rural Land Trusteeship

Author

Listed:
  • Jianying Xiao

    (Research Center of Digital Rural Service, School of Public Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Xinran Fang

    (Research Center of Digital Rural Service, School of Public Management, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

Rural land trusteeship, as an innovative agricultural business model, has played an important role in enhancing agricultural production efficiency and optimizing land resource allocation. However, the model has also revealed many risks in the process of its implementation, posing challenges to its sustainable development. Based on the cases of land trusteeship risk disputes made public by the China Judges and Records Network from 2013 to 2023, this paper uses Nvivo 12 Plus qualitative analysis software to identify and characterize the risks and utilizes the spatial analysis method to explore the spatial and temporal evolution of the risks. The study found the following: (1) Risks of rural land trusteeship can be categorized as market, operational, financial, natural, and contractual risks, with financial and contractual risks being more prominent. (2) The number of land trusteeship disputes gradually increased from 2013 to 2020, reaching a peak in 2020. Subsequently, the number has shown a decreasing trend, which reflects the positive effect of policy. (3) In terms of spatial pattern, land trusteeship risks have a significant northeast–southwest clustering trend, North China and Northeast China being high-risk clustering areas, while South China and Southwest China have relatively low risks. (4) There are significant differences in the spatial distributions of different types of risks, with market and operational risks being highly concentrated in economically active areas, while natural risks are more influenced by the geographic environment.

Suggested Citation

  • Jianying Xiao & Xinran Fang, 2025. "Risk Identification and Spatiotemporal Evolution in Rural Land Trusteeship," Land, MDPI, vol. 14(6), pages 1-28, May.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:6:p:1132-:d:1662072
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/6/1132/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/6/1132/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anderson, Edward & Monjardino, Marta, 2019. "Contract design in agriculture supply chains with random yield," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1072-1082.
    2. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    3. Timothy Besley & Maitreesh Ghatak, 2003. "Incentives, Choice, and Accountability in the Provision of Public Services," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(2), pages 235-249, Summer.
    4. Brian Sims & Josef Kienzle, 2017. "Sustainable Agricultural Mechanization for Smallholders: What Is It and How Can We Implement It?," Agriculture, MDPI, vol. 7(6), pages 1-21, June.
    5. Ragasa, Catherine & Lambrecht, Isabel & Kufoalor, Doreen S., 2018. "Limitations of Contract Farming as a Pro-poor Strategy: The Case of Maize Outgrower Schemes in Upper West Ghana," World Development, Elsevier, vol. 102(C), pages 30-56.
    6. Silvina M. Cabrini & Scott H. Irwin & Darrel L. Good, 2007. "Style and Performance of Agricultural Market Advisory Services," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 607-623.
    7. Vogelsang, Ingo, 2002. "Incentive Regulation and Competition in Public Utility Markets: A 20-Year Perspective," Journal of Regulatory Economics, Springer, vol. 22(1), pages 5-27, July.
    8. Jean-Christophe Bureau & Stefan Tangermann & Alan Matthews & Davide Viaggi & Christophe Crombez & Louise Knops & Johan Swinnen, 2012. "The Common Agricultural Policy after 2013," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 47(6), pages 316-342, November.
    9. Yiqing Su & Qiaoyuan Huang & Qi Meng & Liangzhen Zang & Hua Xiao, 2023. "Socialized Farmland Operation—An Institutional Interpretation of Farmland Scale Management," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    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. Jianying Xiao & Yan Song & Heyuan You, 2020. "Explaining Peasants’ Intention and Behavior of Farmland Trusteeship in China: Implications for Sustainable Agricultural Production," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
    2. Hong, Xianpei & He, Yimeng & Zhou, Pin & Chen, Jiguang, 2023. "Demand information sharing in a contract farming supply chain," European Journal of Operational Research, Elsevier, vol. 309(2), pages 560-577.
    3. Carlo Borzaga & Ermanno Tortia, 2004. "Worker involvement in entrepreneurial nonprofit organizations. Toward a new assessment of workers' perceived satisfaction and fairness," Department of Economics Working Papers 0409, Department of Economics, University of Trento, Italia.
    4. Ruaa Al Juboori & Divya S. Subramaniam & Leslie Hinyard & J. S. Onésimo Sandoval, 2023. "Unveiling Spatial Associations between COVID-19 Severe Health Index, Racial/Ethnic Composition, and Community Factors in the United States," IJERPH, MDPI, vol. 20(17), pages 1-17, August.
    5. Junming Li & Meijun Jin & Honglin Li, 2019. "Exploring Spatial Influence of Remotely Sensed PM 2.5 Concentration Using a Developed Deep Convolutional Neural Network Model," IJERPH, MDPI, vol. 16(3), pages 1-11, February.
    6. Kristien Werck & Bruno Heyndels & Benny Geys, 2008. "The impact of ‘central places’ on spatial spending patterns: evidence from Flemish local government cultural expenditures," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(1), pages 35-58, March.
    7. Aseem Kaul & Jiao Luo, 2018. "An economic case for CSR: The comparative efficiency of for‐profit firms in meeting consumer demand for social goods," Strategic Management Journal, Wiley Blackwell, vol. 39(6), pages 1650-1677, June.
    8. Juergen Deppner & Marcelo Cajias, 2024. "Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 235-273, February.
    9. Laurent Franckx & Isabelle Brose, 2004. "A theoretical framework for incentives in the public sector," Economics Bulletin, AccessEcon, vol. 10(2), pages 1-8.
    10. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    11. Yuping Deng & Helian Xu, 2015. "International Direct Investment and Transboundary Pollution: An Empirical Analysis of Complex Networks," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    12. Giacomo Falchetta & Nicolò Stevanato & Magda Moner-Girona & Davide Mazzoni & Emanuela Colombo & Manfred Hafner, 2020. "M-LED: Multi-sectoral Latent Electricity Demand Assessment for Energy Access Planning," Working Papers 2020.09, Fondazione Eni Enrico Mattei.
    13. Eveline Van Leeuwen & Sandy Dall'erba, 2000. "Does Agricultural Employment Benefit From EU Support?," Regional and Urban Modeling 283600099, EcoMod.
    14. Tapsuwan, Sorada & Polyakov, Maksym & Bark, Rosalind & Nolan, Martin, 2015. "Valuing the Barmah–Millewa Forest and in stream river flows: A spatial heteroskedasticity and autocorrelation consistent (SHAC) approach," Ecological Economics, Elsevier, vol. 110(C), pages 98-105.
    15. Selorm Yaotse Dorvlo & Elizabeth Mkandawire & Katy Roelich & Charles Blessings Jumbe, 2023. "Pathways and Interactions for Integrating Mechanisation into Sustainable Agricultural Production: The Case of Rice Production in Asutsuare, Ghana," Sustainability, MDPI, vol. 15(22), pages 1-17, November.
    16. Lohmann, Gui & Trischler, Jakob, 2017. "Licence to build, licence to charge? Market power, pricing and the financing of airport infrastructure development in Australia," Transport Policy, Elsevier, vol. 59(C), pages 28-37.
    17. Matt Ruther & Rebbeca Tesfai & Janice Madden, 2018. "Foreign-born population concentration and neighbourhood growth and development within US metropolitan areas," Urban Studies, Urban Studies Journal Limited, vol. 55(4), pages 826-843, March.
    18. Revelli, Federico & Tovmo, Per, 2007. "Revealed yardstick competition: Local government efficiency patterns in Norway," Journal of Urban Economics, Elsevier, vol. 62(1), pages 121-134, July.
    19. Begüm Yurteri Kösedağlı & A. Özlem Önder, 2021. "Determinants of financial stress in emerging market economies: Are spatial effects important?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4653-4669, July.
    20. Simon Burgess & Carol Propper & Marisa Ratto & Emma Tominey, 2017. "Incentives in the Public Sector: Evidence from a Government Agency," Economic Journal, Royal Economic Society, vol. 127(605), pages 117-141, October.

    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:14:y:2025:i:6:p:1132-:d:1662072. 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.