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Industrial agglomeration and environmental pollution: based on the specialized and diversified agglomeration in the Yangtze River Delta

Author

Listed:
  • Yu Pei

    (Nanjing University of Science and Technology
    Research Base on Industrial Agglomeration Decision-Making Consulting of Jiangsu Province)

  • Yingming Zhu

    (Nanjing University of Science and Technology
    Research Base on Industrial Agglomeration Decision-Making Consulting of Jiangsu Province)

  • Suxia Liu

    (Nanjing University of Science and Technology
    Zhengzhou University)

  • Menglu Xie

    (Nanjing University of Science and Technology
    Research Base on Industrial Agglomeration Decision-Making Consulting of Jiangsu Province)

Abstract

The mechanism of industrial agglomeration on ecological environments is profound and complex, and has been a hot research topic in recent years. Applying the Copeland–Taylor Model, the present study investigated the environmental pollution effects of the industrial specialized and diversified agglomerations in the Yangtze River Delta urban agglomerations, using the prefecture-level panel data for the period ranging from 2006 to 2016. The main results were as follows: (1) In regard to the entire group of subdivided industries, it was found that a U-shaped relationship existed between specialized agglomeration and the environmental pollution level. In addition, it was also indicated that the diversified agglomeration crossing threshold values had displayed an environmental pollution retardation effect. (2) It was observed that, for different factor-intensive industries, the choice of the specialized agglomeration mode for the labor-intensive and technology-intensive industries was more conducive to environmental protection. Meanwhile, the adoption of a diversified agglomeration mode by the capital-intensive and resource-intensive industries would result in lower levels of environmental pollution. Consequently, it is clear that government departments must control the agglomeration scale at a reasonable level, promote the industrial transformation of an intensive development mode, and encourage the adoption of differentiated agglomeration modes for various industries, so as to reduce environmental pollution in the Yangtze River Delta urban agglomerations.

Suggested Citation

  • Yu Pei & Yingming Zhu & Suxia Liu & Menglu Xie, 2021. "Industrial agglomeration and environmental pollution: based on the specialized and diversified agglomeration in the Yangtze River Delta," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4061-4085, March.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:3:d:10.1007_s10668-020-00756-4
    DOI: 10.1007/s10668-020-00756-4
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    References listed on IDEAS

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    2. Keliang Wang & Yajing Bian & Yunhe Cheng, 2022. "Exploring the Spatial Correlation Network Structure of Green Innovation Efficiency in the Yangtze River Delta, China," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
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    4. Hao, Yu & Guo, Yunxia & Li, Suixin & Luo, Shiyue & Jiang, Xueting & Shen, Zhiyang & Wu, Haitao, 2022. "Towards achieving the sustainable development goal of industry: How does industrial agglomeration affect air pollution?," Innovation and Green Development, Elsevier, vol. 1(1).
    5. Huaxi Yuan & Longhui Zou & Xiangyong Luo & Yidai Feng, 2022. "How Does Manufacturing Agglomeration Affect Green Development? A Spatial and Nonlinear Perspective," IJERPH, MDPI, vol. 19(16), pages 1-23, August.
    6. Gangqiang Yang & Ziyu Ding & Haisen Wang & Lingli Zou, 2023. "Can environmental regulation improve firm total factor productivity? The mediating effects of credit resource allocation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6799-6827, July.
    7. Danielle Galliano & Simon Nadel & Pierre Triboulet, 2023. "The geography of environmental innovation: a rural/urban comparison," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(1), pages 27-59, August.
    8. Wang, Jianda & Guo, Dongsheng, 2023. "Siphon and radiation effects of ICT agglomeration on green total factor productivity: Evidence from a spatial Durbin model," Energy Economics, Elsevier, vol. 126(C).
    9. Ziyan Zheng & Yingming Zhu & Yu Pei & Litao Wang, 2023. "Spatial–temporal heterogeneity and influencing factors of the coupling between industrial agglomeration and regional economic resilience in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12735-12759, November.
    10. Guanghao Li & Xiaoliang Zhou & Zhe Bao, 2022. "A Win–Win Opportunity: The Industrial Pollution Reduction Effect of Digital Economy Development—A Quasi-Natural Experiment Based on the “Broadband China” Strategy," Sustainability, MDPI, vol. 14(9), pages 1-21, May.
    11. Minjie Li & Mengjun Meng & Yihui Chen, 2024. "The impact of the digital economy on green innovation: the moderating role of fiscal decentralization," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.

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