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

Author

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  • 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
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    References listed on IDEAS

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    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. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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).
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