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Research on the Effect of Manufacturing Agglomeration on Green Use Efficiency of Industrial Land

Author

Listed:
  • Yuan Wang

    (College of Public Administration, Huazhong Agriculture University, Wuhan 430070, China
    Research Center for Natural Resources Management and Global Governance, Huazhong Agricultural University, Wuhan 430070, China)

  • Anlu Zhang

    (College of Public Administration, Huazhong Agriculture University, Wuhan 430070, China
    Research Center for Natural Resources Management and Global Governance, Huazhong Agricultural University, Wuhan 430070, China)

  • Min Min

    (College of Public Administration, Huazhong Agriculture University, Wuhan 430070, China
    Research Center for Natural Resources Management and Global Governance, Huazhong Agricultural University, Wuhan 430070, China)

  • Ke Zhao

    (College of Public Administration, Huazhong Agriculture University, Wuhan 430070, China
    Research Center for Natural Resources Management and Global Governance, Huazhong Agricultural University, Wuhan 430070, China)

  • Weiyan Hu

    (College of Public Administration, Huazhong Agriculture University, Wuhan 430070, China
    Research Center for Natural Resources Management and Global Governance, Huazhong Agricultural University, Wuhan 430070, China)

  • Fude Qin

    (Aeronautics and Intelligent Manufacturing College, Hankou University, Wuhan 430212, China)

Abstract

Manufacturing agglomeration (MA) is an important way to achieve high-quality industrial development and promote land use efficiency in China. However, there is a lack of research on the relationship between MA and the green use efficiency of industrial land (GUEIL). Based on the panel data of 279 prefecture-level cities in China, from 2004 to 2019, this study analyzes the spatial and temporal differentiation characteristics of MA and GUEIL, then empirically analyzes the impact of MA on GUEIL. The results show that: (1) during the study period, the national MA levels showed a slight decline, followed by a small increase. In addition, the inter-regional differences are mainly characterized as eastern region > central region > northeast region > western region. (2) The national and regional GUEIL showed a trend of increasing, slightly decreasing, and then increasing again. The overall regional differences in efficiency show the characteristics of: eastern region > central region > western region > northeastern region. (3) At the national scale, MA had a “U-shaped” relationship with GUEIL; at the regional scale, MA had a significant “U-shaped” effect on GUEIL in the northeast, central and western regions, while having a single negative effect in the eastern region. Finally, this study provides suggestions for optimizing the manufacturing structure and improving the GUEIL.

Suggested Citation

  • Yuan Wang & Anlu Zhang & Min Min & Ke Zhao & Weiyan Hu & Fude Qin, 2023. "Research on the Effect of Manufacturing Agglomeration on Green Use Efficiency of Industrial Land," IJERPH, MDPI, vol. 20(2), pages 1-18, January.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1575-:d:1036523
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    References listed on IDEAS

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    1. Liangen Zeng, 2022. "The Driving Mechanism of Urban Land Green Use Efficiency in China Based on the EBM Model with Undesirable Outputs and the Spatial Dubin Model," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    2. Tanaka, Kenta & Managi, Shunsuke, 2021. "Industrial agglomeration effect for energy efficiency in Japanese production plants," Energy Policy, Elsevier, vol. 156(C).
    3. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    4. Shen, Neng & Peng, Hui, 2021. "Can industrial agglomeration achieve the emission-reduction effect?," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    5. Yuxin Fang & Hongjun Cao, 2022. "Environmental Decentralization, Heterogeneous Environmental Regulation, and Green Total Factor Productivity—Evidence from China," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    6. Zhang, Wenxi & Wang, Bo & Wang, Jian & Wu, Qun & Wei, Yehua Dennis, 2022. "How does industrial agglomeration affect urban land use efficiency? A spatial analysis of Chinese cities," Land Use Policy, Elsevier, vol. 119(C).
    7. Yi Ren & Yuan Tian & Chengqiu Zhang, 2022. "Investigating the mechanisms among industrial agglomeration, environmental pollution and sustainable industrial efficiency: a case study in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12467-12493, November.
    8. Fang, Jiayu & Tang, Xue & Xie, Rui & Han, Feng, 2020. "The effect of manufacturing agglomerations on smog pollution," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 92-101.
    9. Shijin Wang & Huiying Zhou, 2021. "High Energy-Consuming Industrial Transfers and Environmental Pollution in China: A Perspective Based on Environmental Regulation," IJERPH, MDPI, vol. 18(22), pages 1-20, November.
    10. Tan, Shukui & Hu, Bixia & Kuang, Bing & Zhou, Min, 2021. "Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China," Land Use Policy, Elsevier, vol. 106(C).
    11. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    12. Wei Han & Ying Zhang & Jianming Cai & Enpu Ma, 2019. "Does Urban Industrial Agglomeration Lead to the Improvement of Land Use Efficiency in China? An Empirical Study from a Spatial Perspective," Sustainability, MDPI, vol. 11(4), pages 1-22, February.
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