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Drag Effect of Economic Growth and Its Spatial Differences under the Constraints of Resources and Environment: Empirical Findings from China’s Yellow River Basin

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  • Yujiao Zhou

    (School of Economics, Southwestern University of Finance and Economics, Chengdu 611130, China)

  • Ding Li

    (School of Public Administration, Southwestern University of Finance and Economics, Chengdu 611130, China)

  • Weifeng Li

    (PBC School of Finance, Tsinghua University, Beijing 100084, China)

  • Dong Mei

    (Institute of Agricultural Resources and Regional Planning (IARRP), Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Jianyi Zhong

    (Institute of Finance and Economics, Guangzhou Huali Science and Technology Vocational College, Guangzhou 511325, China)

Abstract

As the global economic development intensifies the plunder of resources and the environment, the constraints are becoming more and more obvious. Based on the background of the strategy for ecological conservation and high-quality development of the Yellow River Basin, this paper intends to construct a resource-environment-constrained economic growth drag effect model and a spatial Dubin model, and explore the economic growth drag effect and its spatial differences in the Yellow River Basin under the constraints of resources and environment. The study found that the total drag effects of the overall economic growth of the Yellow River Basin that were obtained by the classic panel model without spatial effects is significantly negative. This is consistent with the conclusion that the average total drag effects of 80 prefecture-level cities is negative. The total drag effects of the overall economic growth of the Yellow River Basin changes from unconstrained to medium-constrained after adding spatial constraints, indicating that the spatial correlation of factors will restrict economic growth. From the level of the Yellow River sub-catchment, the total drag effect of the direct effects of the upper, middle, and lower reaches of the Yellow River is consistent with the total drag effect of the total effect. It shows that the upper economic growth is strongly constrained by the local resources and environment, while the downstream is strongly constrained by the adjacent resources and the environment. The research results provide references for resolving the resources and environment constraints in the Yellow River Basin. It provides useful inspiration for promoting ecological protection and high-quality development strategies in the Yellow River Basin.

Suggested Citation

  • Yujiao Zhou & Ding Li & Weifeng Li & Dong Mei & Jianyi Zhong, 2022. "Drag Effect of Economic Growth and Its Spatial Differences under the Constraints of Resources and Environment: Empirical Findings from China’s Yellow River Basin," IJERPH, MDPI, vol. 19(5), pages 1-21, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:3027-:d:764353
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    References listed on IDEAS

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    1. Brock, William A. & Taylor, M. Scott, 2005. "Economic Growth and the Environment: A Review of Theory and Empirics," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 28, pages 1749-1821, Elsevier.
    2. Edward Barbier, 1999. "Endogenous Growth and Natural Resource Scarcity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 14(1), pages 51-74, July.
    3. Brian R. Copeland & M. Scott Taylor, 2004. "Trade, Growth, and the Environment," Journal of Economic Literature, American Economic Association, vol. 42(1), pages 7-71, March.
    4. Krzysztof Boryczko & Janusz Rak, 2020. "Method for Assessment of Water Supply Diversification," Resources, MDPI, vol. 9(7), pages 1-15, July.
    5. Andersen, Thomas Barnebeck & Dalgaard, Carl-Johan, 2013. "Power outages and economic growth in Africa," Energy Economics, Elsevier, vol. 38(C), pages 19-23.
    6. Kaiyang Zhong & Chenglin Li & Qing Wang, 2021. "Evaluation of Bank Innovation Efficiency with Data Envelopment Analysis: From the Perspective of Uncovering the Black Box between Input and Output," Mathematics, MDPI, vol. 9(24), pages 1-18, December.
    7. Eriksson, Clas, 2018. "Phasing out a polluting input in a growth model with directed technological change," Economic Modelling, Elsevier, vol. 68(C), pages 461-474.
    8. Bruvoll, Annegrete & Glomsrod, Solveig & Vennemo, Haakon, 1999. "Environmental drag: evidence from Norway," Ecological Economics, Elsevier, vol. 30(2), pages 235-249, August.
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