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Industrial Co-Agglomeration and Urban Green Total Factor Productivity: Multidimensional Mechanism and Spatial Effect

Author

Listed:
  • Hongxia Xu

    (School of Marxism, Henan Normal University, Xinxiang 453007, China)

  • Ning Xu

    (School of Political Science and Public Administration, Henan Normal University, Xinxiang 453007, China)

Abstract

The impact of industrial co-agglomeration (ICA) on green total factor productivity (GTFP) has garnered considerable academic attention. However, there remains a gap in research systematically investigating how ICA affects China’s GTFP within the framework of green development, specifically by analyzing transmission mechanisms, regulatory mechanisms, and spatial spillover effects. To address this gap, this study utilizes panel data from 283 Chinese cities, spanning the years 2006 to 2020, and conducts both theoretical and empirical analyses to examine ICA’s influence on GTFP through these three mechanisms. Our findings indicate that ICA significantly enhances GTFP by alleviating the mismatch of capital and energy factors but does not improve GTFP by addressing labor mismatches. Furthermore, when the intensity of local government competition exceeds a threshold of 14.3825, the positive impact of ICA diminishes, whereas an environmental regulation intensity above 0.4381 strengthens ICA’s positive effect on GTFP. ICA was found to substantially increase local GTFP and generate positive spatial spillover effects on surrounding cities within a 100 km radius. Co-agglomeration of both high-end and low-end producer services with manufacturing boosts local GTFP, while co-agglomeration of low-end producer services with manufacturing also enhances GTFP in adjacent cities. In megacities, ICA positively influences both local and nearby GTFP, whereas in large cities, ICA tends to suppress GTFP in neighboring areas. Additionally, with the exception of the Middle Yangtze River and Pearl River Delta city clusters, ICA in urban clusters enhances local GTFP; ICA in the Middle Yangtze River cluster promotes GTFP in neighboring areas, whereas ICA in the Chengdu–Chongqing cluster inhibits neighboring GTFP.

Suggested Citation

  • Hongxia Xu & Ning Xu, 2024. "Industrial Co-Agglomeration and Urban Green Total Factor Productivity: Multidimensional Mechanism and Spatial Effect," Sustainability, MDPI, vol. 16(21), pages 1-23, October.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9415-:d:1509872
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    References listed on IDEAS

    as
    1. Lee, Chi-Chuan & Lee, Chien-Chiang, 2022. "How does green finance affect green total factor productivity? Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    2. Chang, Lei & Taghizadeh-Hesary, Farhad & Mohsin, Muhammad, 2023. "Role of artificial intelligence on green economic development: Joint determinates of natural resources and green total factor productivity," Resources Policy, Elsevier, vol. 82(C).
    3. Cheng, Zhonghua & Jin, Wei, 2022. "Agglomeration economy and the growth of green total-factor productivity in Chinese Industry," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    4. Yongquan Zhao & Ziwei Zhang, 2023. "Distribution of Spatial and Temporal Heterogeneity of Green Total-Factor Productivity in the Chinese Manufacturing Industry, and the Influencing Factors," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    5. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    6. Li, Ye & Chen, Yiyan, 2021. "Development of an SBM-ML model for the measurement of green total factor productivity: The case of pearl river delta urban agglomeration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    7. Haibo Chen & Jiawei Lu, 2023. "Does Cultural Agglomeration Affect Green Total Factor Productivity? Evidence from 279 Cities in China," Sustainability, MDPI, vol. 15(9), pages 1-23, April.
    8. Wang, Yafei & Bai, Ying & Quan, Tianshu & Ran, Rong & Hua, Lei, 2023. "Influence and effect of industrial agglomeration on urban green total factor productivity—On the regulatory role of innovation agglomeration and institutional distance," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1158-1173.
    9. Jiang, Yufan & Wang, Hongyan & Liu, Zuankuo, 2021. "The impact of the free trade zone on green total factor productivity ——evidence from the shanghai pilot free trade zone," Energy Policy, Elsevier, vol. 148(PB).
    10. Wang, Mei & Xu, Mi & Ma, Shaojun, 2021. "The effect of the spatial heterogeneity of human capital structure on regional green total factor productivity," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 427-441.
    11. Song, Malin & Du, Juntao & Tan, Kim Hua, 2018. "Impact of fiscal decentralization on green total factor productivity," International Journal of Production Economics, Elsevier, vol. 205(C), pages 359-367.
    12. 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.
    13. Xie, Rui & Fu, Wei & Yao, Siling & Zhang, Qi, 2021. "Effects of financial agglomeration on green total factor productivity in Chinese cities: Insights from an empirical spatial Durbin model," Energy Economics, Elsevier, vol. 101(C).
    14. Zhuohui Yu & Shiping Mao & Qingning Lin, 2022. "Has China’s Carbon Emissions Trading Pilot Policy Improved Agricultural Green Total Factor Productivity?," Agriculture, MDPI, vol. 12(9), pages 1-21, September.
    15. Chen, Chen & Li, Si-E & Wang, Liqun, 2024. "Can smart cities reduce labor misallocation? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 201(C).
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