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Virtual built-up land transfers embodied in China’s interregional trade

Author

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  • Guo, Shan
  • Wang, Yao
  • Shen, Geoffrey Q.P.
  • Zhang, Bo
  • Wang, Hao

Abstract

China’s vibrant interregional trade has widened the gaps between production and consumption, which transfers the pressure of built-up land resources caused by population expansion and supply/demand imbalances. This study comprehensively analyzes China’s built-up land use issues, considering the complex interregional trading network. Accordingly, the virtual built-up land transfers embodied in China’s interregional trade is illustrated, based on a multi-regional input-output analysis. In China, the national average of virtual built-up land intensity illustrates a downward trend. This demonstrates the effectiveness of the intensive built-up land utilization policies implemented in many parts of the country. Three economic regions of China with the most active trade activities (the Yangtze River Delta, Beijing-Tianjin-Hebei regions, and Guangdong Province) have attracted many virtual land flows to relieve the built-up land resource pressures caused by rapid economic development. These flows have mainly derived from neighboring provinces. Considering the detail virtual built-up land transfer profiles embodied in China’s interregional trade, policymakers must collaborate to formulate differentiated policies and optimize built-up land types that combine industrial structure and trade patterns.

Suggested Citation

  • Guo, Shan & Wang, Yao & Shen, Geoffrey Q.P. & Zhang, Bo & Wang, Hao, 2020. "Virtual built-up land transfers embodied in China’s interregional trade," Land Use Policy, Elsevier, vol. 94(C).
  • Handle: RePEc:eee:lauspo:v:94:y:2020:i:c:s0264837719304673
    DOI: 10.1016/j.landusepol.2020.104536
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    Cited by:

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    2. Wang, Pengfei & Li, Hongbo & Huang, Zhenbin, 2023. "The inter-provincial trade inequality in China: An assessment of the impact of changes in built-up land and carbon storage," Ecological Economics, Elsevier, vol. 206(C).
    3. Gao, Runyi & Chuai, Xiaowei & Ge, Jingfeng & Wen, Jiqun & Zhao, Rongqin & Zuo, Tianhui, 2022. "An integrated tele-coupling analysis for requisition–compensation balance and its influence on carbon storage in China," Land Use Policy, Elsevier, vol. 116(C).
    4. Cheng, Mengyao & Wu, Jialu & Li, Chaohui & Jia, Yuanxin & Xia, Xiaohua, 2023. "Tele-connection of global agricultural land network: Incorporating complex network approach with multi-regional input-output analysis," Land Use Policy, Elsevier, vol. 125(C).

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