IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i3p1336-d491541.html
   My bibliography  Save this article

Spatial–Temporal Characteristics of Illegal Land Use and Its Driving Factors in China from 2004 to 2017

Author

Listed:
  • Hongwei Zhang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Zhanqi Wang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Bin Yang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Ji Chai

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Chao Wei

    (School of Politics, Law and Public Administration, Hubei University, Wuhan 430000, China)

Abstract

The scientific analysis of spatial-temporal differentiation characteristics and driving factors of illegal land use is of great significance for the formulation and optimization of policies to control the emergence of illegal land use. This paper establishes two variable systems of illegal land use and its driving factors, defined the multidimensional characteristic variables of illegal land use and analyzes the relationships among them by the Pearson’s correlation coefficient; In addition, the spatial–temporal characteristics of each variable of illegal land use from 2004 to 2017 are described by the spatial autocorrelation analysis; Finally, based on the geographical detectors, the influence direction and degree of the factors of economic structure, social structure and land market behavior on the characteristics of different illegal land use are studied. The results show that the spatial agglomeration of different characteristics of illegal land use had been weakening from 2004 to 2017, but the rate of weakening was different, and L-L agglomeration changed between Xinjiang and other central-western provinces, H-H agglomeration changed in the coastal regions of the central-eastern of China, the level and ability of the central government and local governments to govern illegal land use is constantly improving on the whole; the compositional factors of economic development structure, social development structure, and land market behavior of driving factors had different influence in the degree, the location or the direction of different characteristics of illegal land use. According to the spatial–temporal characteristics and the differences of driving factors, managers can formulate differentiated illegal land use control policies, which will help to control the occurrence of illegal land use and help the settlement of illegal land use cases, and ultimately achieve sustainable development.

Suggested Citation

  • Hongwei Zhang & Zhanqi Wang & Bin Yang & Ji Chai & Chao Wei, 2021. "Spatial–Temporal Characteristics of Illegal Land Use and Its Driving Factors in China from 2004 to 2017," IJERPH, MDPI, vol. 18(3), pages 1-18, February.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1336-:d:491541
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/3/1336/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/3/1336/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schürmann, Alina & Kleemann, Janina & Fürst, Christine & Teucher, Mike, 2020. "Assessing the relationship between land tenure issues and land cover changes around the Arabuko Sokoke Forest in Kenya," Land Use Policy, Elsevier, vol. 95(C).
    2. Lian, Hongping & Li, Hui & Ko, Kilkon, 2019. "Market-led transactions and illegal land use: Evidence from China," Land Use Policy, Elsevier, vol. 84(C), pages 12-20.
    3. Taiyang Zhong & Xianjin Huang & Lifang Ye & Steffanie Scott, 2014. "The Impacts on Illegal Farmland Conversion of Adopting Remote Sensing Technology for Land Inspection in China," Sustainability, MDPI, vol. 6(7), pages 1-26, July.
    4. Zhou, Lin & Zhang, Wenjia & Fang, Chenyu & Sun, Hanyue & Lin, Jian, 2020. "Actors and network in the marketization of rural collectively-owned commercial construction land (RCOCCL) in China: A pilot case of Langfa, Beijing," Land Use Policy, Elsevier, vol. 99(C).
    5. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    6. Wang, Hao & Wang, Zhifeng & Chen, Junlin & Chen, Junhua & Guan, Nishang & Li, Guijun, 2019. "Development of rule of law index for state land and resources in China," Land Use Policy, Elsevier, vol. 81(C), pages 276-290.
    7. Tong, De & Yuan, Yuxi & Wang, Xiaoguang, 2021. "The coupled relationships between land development and land ownership at China’s urban fringe: A structural equation modeling approach," Land Use Policy, Elsevier, vol. 100(C).
    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. Wang, Jian & Wu, Qun & Yan, Siqi & Guo, Guancheng & Peng, Shangui, 2020. "China’s local governments breaking the land use planning quota: A strategic interaction perspective," Land Use Policy, Elsevier, vol. 92(C).
    2. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2021. "Cultivated land protection and rational use in China," Land Use Policy, Elsevier, vol. 106(C).
    3. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    4. Lin Zhou & Walter Timo de Vries, 2022. "Collective Action for the Market-Based Reform of Land Element in China: The Role of Trust," Land, MDPI, vol. 11(6), pages 1-16, June.
    5. Zhaoxia Guo & Qinqin Guo & Yujie Cai & Ge Wang, 2021. "Unraveling Risk Networks of Cultivated Land Protection: An Exploratory Stakeholder-Oriented Case Study in Xiliuhe Town, Hubei Province, China," Land, MDPI, vol. 10(11), pages 1-26, November.
    6. Yujun Zhou & Jingming Liu & Xiang Kang, 2022. "Market-Driven Rural Construction—A Case Study of Fuhong Town, Chengdu," Sustainability, MDPI, vol. 14(10), pages 1-19, May.
    7. Jiang, Ronghao & Lin, George C.S., 2021. "Placing China’s land marketization: The state, market, and the changing geography of land use in Chinese cities," Land Use Policy, Elsevier, vol. 103(C).
    8. Lu, Xin-hai & Jiang, Xu & Gong, Meng-qi, 2020. "How land transfer marketization influence on green total factor productivity from the approach of industrial structure? Evidence from China," Land Use Policy, Elsevier, vol. 95(C).
    9. Zhang, Ling & Zhang, Lei & Xu, Yan & Zhou, Peng & Yeh, Chung-Hsing, 2020. "Evaluating urban land use efficiency with interacting criteria: An empirical study of cities in Jiangsu China," Land Use Policy, Elsevier, vol. 90(C).
    10. Tan, Shukui & Hu, Bixia & Kuang, Bing & Zhou, Min, 2021. "Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China," Land Use Policy, Elsevier, vol. 106(C).
    11. Wang, Qingri & Hu, Hongwei & Hu, Rumei, 2024. "Local government behavior in rural construction land marketization in China: An archetype analysis," Land Use Policy, Elsevier, vol. 142(C).
    12. Congmou Zhu & Lixia Yang & Qiuyu Xu & Jinwei Fu & Yue Lin & Le Sun & Shan He & Shaofeng Yuan, 2022. "A Comparative Analysis of Farmland Occupation by Urban Sprawl and Rural Settlement Expansion in China," Land, MDPI, vol. 11(10), pages 1-16, October.
    13. Fan, Xin & Qiu, Sainan & Sun, Yukun, 2020. "Land finance dependence and urban land marketization in China: The perspective of strategic choice of local governments on land transfer," Land Use Policy, Elsevier, vol. 99(C).
    14. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    15. Jianglin Lu & Keqiang Wang & Hongmei Liu, 2022. "Residents’ Selection Behavior of Compensation Schemes for Construction Land Reduction: Empirical Evidence from Questionnaires in Shanghai, China," Land, MDPI, vol. 12(1), pages 1-29, December.
    16. Lü, Da & Gao, Guangyao & Lü, Yihe & Xiao, Feiyan & Fu, Bojie, 2020. "Detailed land use transition quantification matters for smart land management in drylands: An in-depth analysis in Northwest China," Land Use Policy, Elsevier, vol. 90(C).
    17. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).
    18. Qiu, Bingwen & Li, Haiwen & Tang, Zhenghong & Chen, Chongcheng & Berry, Joe, 2020. "How cropland losses shaped by unbalanced urbanization process?," Land Use Policy, Elsevier, vol. 96(C).
    19. 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.
    20. Wang, Bo & Li, Fan & Feng, Shuyi & Shen, Tong, 2020. "Transfer of development rights, farmland preservation, and economic growth: a case study of Chongqing’s land quotas trading program," Land Use Policy, Elsevier, vol. 95(C).

    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:jijerp:v:18:y:2021:i:3:p:1336-:d:491541. 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.