IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v145y2024ics0264837724002370.html
   My bibliography  Save this article

Impact of structural dependence on the formation of multi-subject collaborative network for comprehensive land consolidation

Author

Listed:
  • Cui, Yongzheng
  • Wang, Wenxiong
  • Meng, Yihao
  • Li, Qiufang
  • Zeng, Huiyizi

Abstract

Rural decline is a common challenge facing the world, and it is imperative to revitalize the world's countryside. As an essential platform and means to promote rural revitalization, comprehensive land consolidation (CLC) is characterized by diverse governance subjects and a multi-subject collaborative network has been formed in its implementation process. Prior research primarily investigates the role of exogenous mechanisms in shaping multi-subject collaborative relationships, often overlooking endogenous mechanisms, namely the endogenous structural dependence of the multi-subject collaborative network itself. In this study, the research dimensions and levels of the CLC multi-subject collaborative network were combed out, and the influence mechanism of structural dependence on the formation of this network was analyzed. Taking the CLC pilot projects in 11 counties (cities and districts) in Hubei Province, China, as study cases, this study empirically examined the impact of structural dependence on forming the CLC multi-subject collaborative network using the exponential random graph model. The results show that the formation of the CLC multi-subject collaborative network was significantly influenced by endogenous mechanisms, such as reciprocal and triangular structures, and exhibited prominent path-dependent characteristics. In addition, structural dependence significantly weakened the influence effect of exogenous mechanisms, and ignoring endogenous mechanisms led to a decrease in the interpretability and credibility of exogenous mechanisms. Based on these findings, this study puts forward corresponding policy recommendations. This study provides theoretical insights and decision-making references for promoting effective collaboration among multiple subjects and enhancing the effectiveness of CLC. It also provides China’s experience and reference for other developing countries to establish a multi-subject collaboration model for land consolidation.

Suggested Citation

  • Cui, Yongzheng & Wang, Wenxiong & Meng, Yihao & Li, Qiufang & Zeng, Huiyizi, 2024. "Impact of structural dependence on the formation of multi-subject collaborative network for comprehensive land consolidation," Land Use Policy, Elsevier, vol. 145(C).
    • Handle: RePEc:eee:lauspo:v:145:y:2024:i:c:s0264837724002370
    DOI: 10.1016/j.landusepol.2024.107284
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837724002370
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2024.107284?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Xiaobin & Ye, Yanmei & Wang, Mengran & Yu, Zhenning & Luo, Jiaojiao, 2018. "The micro administrative mechanism of land reallocation in land consolidation: A perspective from collective action," Land Use Policy, Elsevier, vol. 70(C), pages 547-558.
    2. Chen Huang & Hongtao Yi & Tao Chen & Xiaolin Xu & Shiying Chen, 2022. "Networked environmental governance: formal and informal collaborative networks in local China," Policy Studies, Taylor & Francis Journals, vol. 43(3), pages 403-421, May.
    3. Giuliani, Elisa, 2013. "Network dynamics in regional clusters: Evidence from Chile," Research Policy, Elsevier, vol. 42(8), pages 1406-1419.
    4. Hunter, David R. & Goodreau, Steven M. & Handcock, Mark S., 2008. "Goodness of Fit of Social Network Models," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 248-258, March.
    5. Yin, Mei & Zhu, Lingjiong, 2016. "Reciprocity in directed networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 71-84.
    6. Zhou, Yang & Li, Yamei & Xu, Chenchen, 2020. "Land consolidation and rural revitalization in China: Mechanisms and paths," Land Use Policy, Elsevier, vol. 91(C).
    7. Zhengqi Pan, 2018. "Varieties Of Intergovernmental Organization Memberships And Structural Effects In The World Trade Network," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-30, March.
    8. Chen Huang & Wenna Chen & Hongtao Yi, 2021. "Collaborative networks and environmental governance performance: a social influence model," Public Management Review, Taylor & Francis Journals, vol. 23(12), pages 1878-1899, December.
    9. Chen, Danling & Hu, Wenbo & Li, Yuying & Zhang, Chaozheng & Lu, Xinhai & Cheng, Hui, 2023. "Exploring the temporal and spatial effects of city size on regional economic integration: Evidence from the Yangtze River Economic Belt in China," Land Use Policy, Elsevier, vol. 132(C).
    10. Dongli Zhang & Lihong Yu & Wenxiong Wang, 2022. "Promoting Effect of Whole-Region Comprehensive Land Consolidation on Rural Revitalization from the Perspective of Farm Households: A China Study," Land, MDPI, vol. 11(10), pages 1-24, October.
    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. Guofu Li & Xiue Zhang, 2023. "The Spatial–Temporal Characteristics and Driving Forces of the Coupled and Coordinated Development between New Urbanization and Rural Revitalization," Sustainability, MDPI, vol. 15(23), pages 1-27, December.
    2. Guodong Huang & Xiaoqiang Shen & Xiaobin Zhang & Wei Gu, 2023. "Quantitative Evaluation of China’s Central-Level Land Consolidation Policies in the Past Forty Years Based on the Text Analysis and PMC-Index Model," Land, MDPI, vol. 12(9), pages 1-30, September.
    3. Wang, Wenxiong & Lan, Yuanqin & Wang, Xu, 2021. "Impact of livelihood capital endowment on poverty alleviation of households under rural land consolidation," Land Use Policy, Elsevier, vol. 109(C).
    4. Zhou, Yang & Li, Peixuan & Zhang, Qi & Cheng, Guoqiang, 2025. "Socio-economic impacts, challenges, and strategies for whole-region comprehensive land consolidation in China," Land Use Policy, Elsevier, vol. 150(C).
    5. Lizhi Xing & Wen Chen, 2023. "Structural Characteristics and Evolutionary Drivers of Global Virtual Water Trade Networks: A Stochastic Actor-Oriented Model for 2000–2015," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    6. Yunhui Wang & Yihua Chen & Zhiying Li, 2024. "Escaping poverty: changing characteristics of China’s rural poverty reduction policy and future trends," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    7. Wang, Jingyu & Peng, Lu & Chen, Jiancheng & Deng, Xiangzheng, 2024. "Impact of rural industrial integration on farmers' income: Evidence from agricultural counties in China," Journal of Asian Economics, Elsevier, vol. 93(C).
    8. Weijia Chen & Yongquan Lu & Guilin Liu, 2022. "Balancing cropland gain and desert vegetation loss: The key to rural revitalization in Xinjiang, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1122-1145, September.
    9. Sándor Juhász, 2021. "Spinoffs and tie formation in cluster knowledge networks," Small Business Economics, Springer, vol. 56(4), pages 1385-1404, April.
    10. Xiji Jiang & Jiaxin Sun & Tianzi Zhang & Qian Li & Yan Ma & Wen Qu & Dan Ye & Zhendong Lei, 2025. "Defining Rural Types Nearby Large Cities from the Perspective of Urban–Rural Integration: A Case Study of Xi’an Metropolitan Area, China," Land, MDPI, vol. 14(3), pages 1-23, March.
    11. Ying Lu & Walter Timo de Vries, 2023. "Spatio-Temporal Analysis of Rural Development in China over the Past 40 Years," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    12. Kayvan Sadeghi & Alessandro Rinaldo, 2020. "Hierarchical models for independence structures of networks," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 439-457, August.
    13. Gean Carlos Gonzaga da Silva & Priscila Celebrini de Oliveira Campos & Marcelo de Miranda Reis & Igor Paz, 2023. "Spatiotemporal Land Use and Land Cover Changes and Associated Runoff Impact in Itaperuna, Brazil," Sustainability, MDPI, vol. 16(1), pages 1-19, December.
    14. Tom A. B. Snijders & Christian E. G. Steglich, 2015. "Representing Micro–Macro Linkages by Actor-based Dynamic Network Models," Sociological Methods & Research, , vol. 44(2), pages 222-271, May.
    15. Xiuling Ding & Qian Lu & Lipeng Li & Apurbo Sarkar & Hua Li, 2023. "Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach," Land, MDPI, vol. 12(8), pages 1-27, August.
    16. Xia Xiao & Pingan Xiang & Haisong Wang & Maosen Xia, 2025. "Driving Mechanisms of the Integration of Ecological Farms and Rural Tourism: A Mixed Method Study," Agriculture, MDPI, vol. 15(7), pages 1-27, April.
    17. Yingge Wang & Daiyi Song & Cheng Liu & Shuaicheng Li & Man Yuan & Jian Gong & Jianxin Yang, 2025. "Spatial Correlation of Non-Agriculturalization and Non-Grain Utilization Transformation of Cultivated Land in China and Its Implications," Land, MDPI, vol. 14(5), pages 1-26, May.
    18. Dongqing Han & Zhengxu Cao, 2024. "Evaluation and Influential Factors of Urban Land Use Efficiency in Yangtze River Economic Belt," Land, MDPI, vol. 13(5), pages 1-17, May.
    19. Zhang, Chao & Fan, Yupeng & Fang, Chuanglin, 2024. "Orderly and synergistic development of urban-rural integration based on evolutionary game model: A case study in the Jiangxi Province, China," Land Use Policy, Elsevier, vol. 146(C).
    20. Cornelius Fritz & Michael Lebacher & Göran Kauermann, 2020. "Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 275-299, August.

    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:eee:lauspo:v:145:y:2024:i:c:s0264837724002370. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.