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Resource Endowment, Industrial Structure, and Green Development of the Yellow River Basin

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  • Kang Zhao

    (School of Management, China University of Mining and Technology, Beijing 100083, China)

  • Rui Zhang

    (School of Management, China University of Mining and Technology, Beijing 100083, China)

  • Hong Liu

    (School of Management, China University of Mining and Technology, Beijing 100083, China
    Energy Research Institute, Chinese Academy of Macroeconomic Research, Beijing 100038, China)

  • Geyi Wang

    (School of Management, China University of Mining and Technology, Beijing 100083, China)

  • Xialing Sun

    (School of Management, China University of Mining and Technology, Beijing 100083, China)

Abstract

The Yellow River Basin is an important energy base of China, and its green development is crucial to Chinese economic transformation. In this paper, we calculate the green total factor productivity (GTFP) to measure the green development level of the Yellow River Basin by using an Slack Based Model- Global Malmquist-Luenberger (SBM-GML) index model. On this basis, we use a Generalized Method of Moments (GMM) model to further analyze the impact of resource endowment and industrial structure on the green development of cities. The results show that resource endowment inhibits the green development of cities and that the resource curse is observed in the Yellow River Basin. The industrial structure advancement significantly promotes the green development of cities. The impact of industrial structure rationalization on green development varies significantly on the type of city. Specifically, it has an inhibiting effect on key environmental protection cities but a promoting effect on non-key environmental protection cities.

Suggested Citation

  • Kang Zhao & Rui Zhang & Hong Liu & Geyi Wang & Xialing Sun, 2021. "Resource Endowment, Industrial Structure, and Green Development of the Yellow River Basin," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4530-:d:539034
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    Cited by:

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    3. Liu, Yang & Wang, Jianda & Dong, Kangyin & Taghizadeh-Hesary, Farhad, 2023. "How does natural resource abundance affect green total factor productivity in the era of green finance? Global evidence," Resources Policy, Elsevier, vol. 81(C).
    4. Yingqi Xu & Yu Cheng & Ruijing Zheng & Yaping Wang, 2022. "Spatiotemporal Evolution and Influencing Factors of Carbon Emission Efficiency in the Yellow River Basin of China: Comparative Analysis of Resource and Non-Resource-Based Cities," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
    5. Yi-feng Zhang & Min-xuan Ji & Xiu-zhi Zheng, 2023. "Digital Economy, Agricultural Technology Innovation, and Agricultural Green Total Factor Productivity," SAGE Open, , vol. 13(3), pages 21582440231, August.
    6. Pei Liu & Jiajun Xu & Xiaojun Yang, 2023. "Spatial Difference and Convergence of Ecological Common Prosperity: Evidence from the Yellow River Basin in China," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    7. Dan Wang & Yan Liu & Yu Cheng, 2023. "Effects and Spatial Spillover of Manufacturing Agglomeration on Carbon Emissions in the Yellow River Basin, China," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    8. Mingjuan Ma & Shuifa Ke & Qiang Li & Yaqi Wu, 2023. "Towards Carbon Neutrality: A Comprehensive Analysis on Total Factor Carbon Productivity of the Yellow River Basin, China," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    9. Zhang, Rui & Qie, Xiaotong & Hu, Yanyong & Chen, Xue, 2022. "Does de-capacity policy promote the efficient and green development of the coal industry? –Based on the evidence of China," Resources Policy, Elsevier, vol. 77(C).

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