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Effects of Institutions on Spatial Patterns of Manufacturing Industries and Policy Implications in Metropolitan Areas: A Case Study of Wuhan, China

Author

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  • Min Zhou

    (School of Architecture and Urban Planning, Suzhou University of Science and Technology, Suzhou 215000, China)

  • Man Yuan

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430070, China)

  • Yaping Huang

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430070, China)

  • Kaixuan Lin

    (Beijing Tsinghua Tongheng Urban Planning and Design Institute of Yangtze Delta Branch, Suzhou 215000, China)

Abstract

Manufacturing space is a spatial system that combines the interaction between capital and institutions at the enterprise, industry, and spatial levels. It is also an important functional type that promotes the spatial evolution of big cities. Most studies focus on the effects of a single institutional type on the manufacturing space of big cities and lack systematic and complete exploration of the institutional mechanism. Current empirical research on typical industrial cities in China is insufficient. This study uses a GIS spatial analysis technique and a Poisson regression model to analyze the mechanism by which institutions have influenced the spatial patterns of manufacturing industries in the Wuhan metropolitan area since the 1990s. The results show that land policy, development zone policy, urban planning, transportation strategy, and eco-environmental policy all have a significant impact on the restructuring process and distribution pattern of the manufacturing industries through incentives and constraints. This study expands our understanding of the influence mechanism of manufacturing spatial patterns and proposes spatial guiding strategies and policy implications for the spatial transformation of urban manufacturing.

Suggested Citation

  • Min Zhou & Man Yuan & Yaping Huang & Kaixuan Lin, 2021. "Effects of Institutions on Spatial Patterns of Manufacturing Industries and Policy Implications in Metropolitan Areas: A Case Study of Wuhan, China," Land, MDPI, vol. 10(7), pages 1-16, July.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:7:p:710-:d:589016
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    References listed on IDEAS

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    1. Gao, Jinlong & Chen, Wen & Liu, Yansui, 2018. "Spatial restructuring and the logic of industrial land redevelopment in urban China: II. A case study of the redevelopment of a local state-owned enterprise in Nanjing," Land Use Policy, Elsevier, vol. 72(C), pages 372-380.
    2. Andrés Rodríguez‐Pose & Min Zhang, 2019. "Government institutions and the dynamics of urban growth in China," Journal of Regional Science, Wiley Blackwell, vol. 59(4), pages 633-668, September.
    3. Hu, Yingjie & Lu, Bin & Wu, Jiayu, 2019. "Value capture in industrial land renewal under the public leasehold system: A policy comparison in China," Land Use Policy, Elsevier, vol. 84(C), pages 59-69.
    4. Henry Wai-chung Yeung, 2009. "Regional Development and the Competitive Dynamics of Global Production Networks: An East Asian Perspective," Regional Studies, Taylor & Francis Journals, vol. 43(3), pages 325-351.
    5. Robert Huggins, 2016. "Capital, institutions and urban growth systems," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 9(2), pages 443-463.
    6. Thun, Eric, 2004. "Keeping Up with the Jones': Decentralization, Policy Imitation, and Industrial Development in China," World Development, Elsevier, vol. 32(8), pages 1289-1308, August.
    7. Esthela Salazar & Cristián Henríquez & Gustavo Durán & Jorge Qüense & Fernando Puente-Sotomayor, 2021. "How to Define a New Metropolitan Area? The Case of Quito, Ecuador, and Contributions for Urban Planning," Land, MDPI, vol. 10(4), pages 1-23, April.
    8. Fulong Wu, 1999. "Intrametropolitan FDI firm location in Guangzhou, China A Poisson and negative binomial analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 33(4), pages 535-555.
    9. Guimaraes, Paulo & Figueiredo, Octávio & Woodward, Douglas, 2002. "Modeling industrial location decisions in U.S. counties," ERSA conference papers ersa02p060, European Regional Science Association.
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    Cited by:

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    2. Yanming Wu & Uta Pottgiesser & Wido Quist & Qi Zhou, 2022. "The Guidance and Control of Urban Planning for Reuse of Industrial Heritage: A Study of Nanjing," Land, MDPI, vol. 11(6), pages 1-37, June.
    3. Leizhou Zhu & Yaping Huang, 2022. "Multi-Scenario Simulation of Ecosystem Service Value in Wuhan Metropolitan Area Based on PLUS-GMOP Model," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    4. Yan Liu & Yu Cheng & Dan Wang & Hongxiao Zhao & Yaping Wang, 2023. "Spatial Pattern Evolution of the Manufacturing Industry in the Yangtze River Economic Belt and Its Impact on PM 2.5," Sustainability, MDPI, vol. 15(16), pages 1-23, August.
    5. Bo Liu & Desheng Xue & Sijun Zheng, 2023. "Evolution and Influencing Factors of Manufacturing Production Space in the Pearl River Delta—Based on the Perspective of Global City-Region," Land, MDPI, vol. 12(2), pages 1-22, February.

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