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Spatial-Temporal Heterogeneity and Decoupling Mechanism of Resource Curse, Environmental Regulation and Resource Industry Transformation in Post-Development Areas: Evidence from Inner Mongolia, China

Author

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  • Mingkai Liu

    (School of Economics, Beijing Technology and Business University, Beijing 100048, China)

  • Hongyan Zhang

    (College of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot 010070, China)

  • Changxin Liu

    (Institution of Science and Development, China Academy of Sciences, Beijing 100190, China)

  • Xiaoju Gong

    (School of Economics, Beijing Technology and Business University, Beijing 100048, China)

Abstract

Resource curse and environmental regulation are the key bottlenecks that hinder the sustainable development of the resource industry. A reasonable assessment of the decoupling relationship between resource supply, environment regulation and resource industry transformation is helpful to promote the decision-making of industrial restructuring in post-development regions. Taking Inner Mongolia Autonomous Region of China as the research object, panel data related to resources, environment and industry from 2010 to 2021 are selected to evaluate the spatial and temporal evolution of regional resource supply security, environmental regulatory pressure and resource industry transformation efficiency, measure the decoupling index among the factors, and use geographic detector technology to identify the constraints affecting factor decoupling. The results show the following: (1) the resource curse effect of Inner Mongolia is not significant, and some resource industries have prominent advantages; (2) the security of resource supply and the transformation efficiency of the resource industry show overall upward trend, the pressure of environmental regulation is basically balanced, and the development level of factors in resource-endowed regions and central cities is relatively high; (3) the spatial and temporal evolution of the decoupling relationship between resource supply, environmental regulation and resource industry transformation is uncertain, and the resilience of regional economic and social governance is poor; (4) resource endowment and resource industry advantages are the key that restricts the decoupling of factors, and the cumulative effect of ecological governance is likely to lead to the randomness of the decoupling of environmental regulation and resource industry transformation. In addition, this study suggests that the post-development areas should pay attention to the classification of resource industry relief, trans-regional economic and social collaborative governance and special resources exploitation.

Suggested Citation

  • Mingkai Liu & Hongyan Zhang & Changxin Liu & Xiaoju Gong, 2024. "Spatial-Temporal Heterogeneity and Decoupling Mechanism of Resource Curse, Environmental Regulation and Resource Industry Transformation in Post-Development Areas: Evidence from Inner Mongolia, China," Land, MDPI, vol. 13(5), pages 1-23, May.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:624-:d:1389215
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    References listed on IDEAS

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    1. Gaolan Hou & Zhou Zou & Tianran Zhang & Yue Meng, 2019. "Analysis of the Effect of Industrial Transformation of Resource-Based Cities in Northeast China," Economies, MDPI, vol. 7(2), pages 1-22, May.
    2. Andreoni, V. & Galmarini, S., 2012. "Decoupling economic growth from carbon dioxide emissions: A decomposition analysis of Italian energy consumption," Energy, Elsevier, vol. 44(1), pages 682-691.
    3. Dong, Bai & Zhang, Ming & Mu, Hailin & Su, Xuanming, 2016. "Study on decoupling analysis between energy consumption and economic growth in Liaoning Province," Energy Policy, Elsevier, vol. 97(C), pages 414-420.
    4. Che, Shuai & Wang, Jun, 2022. "Can environmental regulation solve the carbon curse of natural resource dependence: Evidence from China," Resources Policy, Elsevier, vol. 79(C).
    5. Kaiming Zhong & Hongyan Fu & Tinghui Li, 2022. "Can the Digital Economy Facilitate Carbon Emissions Decoupling? An Empirical Study Based on Provincial Data in China," IJERPH, MDPI, vol. 19(11), pages 1-25, June.
    6. Pan, Minjie & Zhao, Xin & lv, Kangjuan & Rosak-Szyrocka, Joanna & Mentel, Grzegorz & Truskolaski, Tadeusz, 2023. "Internet development and carbon emission-reduction in the era of digitalization: Where will resource-based cities go?," Resources Policy, Elsevier, vol. 81(C).
    7. Wei, Wendong & Cai, Wenqiu & Guo, Yi & Bai, Caiquan & Yang, Luzhen, 2020. "Decoupling relationship between energy consumption and economic growth in China's provinces from the perspective of resource security," Resources Policy, Elsevier, vol. 68(C).
    8. Zhidong Li & Zhifan Zhou, 2020. "Fuzzy Comprehensive Evaluation of Decoupling Economic Growth from Environment Costs in China’s Resource-Based Cities," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-14, June.
    9. Jinghan Zeng, 2019. "Chinese views of global economic governance," Third World Quarterly, Taylor & Francis Journals, vol. 40(3), pages 578-594, March.
    10. Cunfang Li & Tao Song & Wenfu Wang & Xinyi Gu & Zhan Li & Yongzeng Lai, 2022. "Analysis and Measurement of Barriers to Green Transformation Behavior of Resource Industries," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
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