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The Economic Spillover Effect of the Collaborative Agglomeration between Manufacturing and Producer Services

Author

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  • Xiaoxuan Li

    (School of Economics, Fuyang Normal University, Fuyang 236037, China)

  • Ying Liu

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

Abstract

High-quality economic development is an inevitable requirement for promoting sustainable development. Stacks of research papers have suggested that the quality of China’s economic development will make an important contribution to promoting global sustainable development. The collaborative agglomeration between manufacturing and producer services is determined by multiple factors, including industrial characteristics and industrial associations. This is conducive to the efficient evolution of the industrial structure and to further achieving high-quality economic development. Based on the provincial data from 2010 to 2021 in China, this research evaluated the impact of co-agglomeration between manufacturing and producer services on high-quality economic development by using the double-fixed-effect spatial Durbin model. The benchmark regression results showed that industrial co-agglomeration impacted high-quality economic development in an inverted U-shaped. This result had a significant positive spatial spillover and was robust. In the spatial heterogeneity tests, the co-agglomeration of industries had different effects on high-quality development in regions. The strongest spillover effect of positive externalities was in the eastern region, which played an active role as a “growth pole”. The “siphon effect” happened in the central region. The spillover effect had a “U” shape in the western region, and the co-agglomeration inhibited current high-quality development. In the mechanism analysis, the industrial co-agglomeration enhanced high-quality development by stimulating green innovation, and the digital economy had a positive moderating effect. The study presented in this article provides empirical evidence and offers policy recommendations for formulating industrial policies and improving the quality of economic development.

Suggested Citation

  • Xiaoxuan Li & Ying Liu, 2024. "The Economic Spillover Effect of the Collaborative Agglomeration between Manufacturing and Producer Services," Sustainability, MDPI, vol. 16(13), pages 1-19, June.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5343-:d:1420625
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    References listed on IDEAS

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    1. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
    2. C. Cindy Fan & Allen J. Scott, 2003. "Industrial Agglomeration and Development: A Survey of Spatial Economic Issues in East Asia and a Statistical Analysis of Chinese Regions," Economic Geography, Taylor & Francis Journals, vol. 79(3), pages 295-319, July.
    3. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    4. Guido De Blasio & Sabrina Di Addario, 2005. "Do Workers Benefit from Industrial Agglomeration?," Journal of Regional Science, Wiley Blackwell, vol. 45(4), pages 797-827, November.
    5. Emma Howard & Carol Newman & Finn Tarp, 2016. "Measuring industry coagglomeration and identifying the driving forces," Journal of Economic Geography, Oxford University Press, vol. 16(5), pages 1055-1078.
    6. Yixiao Zhou, 2018. "Human capital, institutional quality and industrial upgrading: global insights from industrial data," Economic Change and Restructuring, Springer, vol. 51(1), pages 1-27, February.
    7. Haochang Yang & Faming Zhang & Yixin He, 2021. "Exploring the effect of producer services and manufacturing industrial co-agglomeration on the ecological environment pollution control in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16119-16144, November.
    8. Wei Zhang & Jing Cheng & Xuemeng Liu & Zhangrong Zhu, 2023. "Heterogeneous industrial agglomeration, its coordinated development and total factor energy efficiency," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5511-5537, June.
    9. Chen, Danling & Hu, Wenbo & Li, Yuying & Zhang, Chaozheng & Lu, Xinhai & Cheng, Hui, 2023. "Exploring the temporal and spatial effects of city size on regional economic integration: Evidence from the Yangtze River Economic Belt in China," Land Use Policy, Elsevier, vol. 132(C).
    10. Carlsson, Bo, 2004. "The Digital Economy: what is new and what is not?," Structural Change and Economic Dynamics, Elsevier, vol. 15(3), pages 245-264, September.
    11. Ping Lu & Jianhui Liu & Yunxuan Wang & Lei Ruan, 2021. "Can industrial agglomeration improve regional green total factor productivity in China? An empirical analysis based on spatial econometrics," Growth and Change, Wiley Blackwell, vol. 52(2), pages 1011-1039, June.
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