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On industrial agglomeration and industrial carbon productivity --- impact mechanism and nonlinear relationship

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  • Zhang, Xiaoqian
  • Yao, Shujie
  • Zheng, Weiwei
  • Fang, Jing

Abstract

This study focuses on examining the mechanisms of industrial agglomeration on industrial carbon productivity. A balanced panel dataset of 281 cities in China is used, covering the period from 2004 to 2020, to assess the combined economic and environmental effects of industrial agglomeration. The main research findings are: (1) Industrial agglomeration significantly raises industrial carbon productivity; (2) Industrial agglomeration indirectly increases industrial carbon productivity through technological progress and labor mismatch reduction; (3) Environmental regulations have a negative moderating role in the correlation between industrial agglomeration and industrial carbon productivity; (4) The relationship between industrial agglomeration and industrial carbon productivity is non-linear. One of the possible reasons for the non-linear relationship between industrial agglomeration and industrial carbon productivity is that the level of industrial agglomeration is too high and its effect on promoting technological progress is not significant. The innovation of this paper is that it focuses on the industrial sector, quantifies the learning and matching effects of industrial agglomeration, empirically analyzes how industrial agglomeration affects industrial carbon productivity, and explores the reasons for the nonlinear relationship between industrial agglomeration and industrial carbon productivity. These findings are valuable in guiding the industrial sector on improving industrial carbon productivity through agglomeration effects.

Suggested Citation

  • Zhang, Xiaoqian & Yao, Shujie & Zheng, Weiwei & Fang, Jing, 2023. "On industrial agglomeration and industrial carbon productivity --- impact mechanism and nonlinear relationship," Energy, Elsevier, vol. 283(C).
  • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223024416
    DOI: 10.1016/j.energy.2023.129047
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    as
    1. Conrad, Klaus & Wastl, Dieter, 1995. "The Impact of Environmental Regulation on Productivity in German Industries," Empirical Economics, Springer, vol. 20(4), pages 615-633.
    2. Glaeser, Edward L. & Kahn, Matthew E., 2010. "The greenness of cities: Carbon dioxide emissions and urban development," Journal of Urban Economics, Elsevier, vol. 67(3), pages 404-418, May.
    3. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    4. Mesfin Mirotchie & Daniel B. Taylor, 1993. "Resource allocation and productivity of cereal state farms in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 8(3), pages 187-197, March.
    5. 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.
    6. Duranton, Gilles & Puga, Diego, 2004. "Micro-foundations of urban agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 48, pages 2063-2117, Elsevier.
    7. Lionel Fontagné & Gianluca Santoni, 2019. "Agglomeration economies and firm-level labor misallocation," Journal of Economic Geography, Oxford University Press, vol. 19(1), pages 251-272.
    8. Hui Peng & Yifan Wang & Yisha Hu & Hong Shen, 2020. "Agglomeration Production, Industry Association and Carbon Emission Performance: Based on Spatial Analysis," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    9. Brülhart, Marius & Mathys, Nicole A., 2008. "Sectoral agglomeration economies in a panel of European regions," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 348-362, July.
    10. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How does ICT agglomeration affect carbon emissions? The case of Yangtze River Delta urban agglomeration in China," Energy Economics, Elsevier, vol. 111(C).
    11. Ciccone, Antonio & Hall, Robert E, 1996. "Productivity and the Density of Economic Activity," American Economic Review, American Economic Association, vol. 86(1), pages 54-70, March.
    12. Felisitas Defung & Ruhul Salim & Harry Bloch, 2017. "Economic liberalization and sources of productivity growth in Indonesian Banks: is it efficiency improvement or technological progress?," Applied Economics, Taylor & Francis Journals, vol. 49(33), pages 3313-3327, July.
    13. Francesco Di Comite & d'Artis Kancs & Patrizio Lecca, 2018. "Modeling agglomeration and dispersion in space: The role of labor migration, capital mobility and vertical linkages," Review of International Economics, Wiley Blackwell, vol. 26(3), pages 555-577, August.
    14. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    15. Mirotchie, Mesfin & Taylor, Daniel B., 1993. "Resource allocation and productivity of cereal state farms in Ethiopia," Agricultural Economics, Blackwell, vol. 8(3), pages 187-197, March.
    16. Long, Ruyin & Shao, Tianxiang & Chen, Hong, 2016. "Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors," Applied Energy, Elsevier, vol. 166(C), pages 210-219.
    17. Jia, Ruining & Shao, Shuai & Yang, Lili, 2021. "High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach," Energy Economics, Elsevier, vol. 99(C).
    18. Mads Bruun Ingstrup & Torben Damgaard, 2013. "Cluster Facilitation from a Cluster Life Cycle Perspective," European Planning Studies, Taylor & Francis Journals, vol. 21(4), pages 556-574, April.
    19. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    20. Banerjee, Rajabrata & Roy, Saikat Sinha, 2014. "Human capital, technological progress and trade: What explains India's long run growth?," Journal of Asian Economics, Elsevier, vol. 30(C), pages 15-31.
    21. Zhao, Hongli & Lin, Boqiang, 2019. "Will agglomeration improve the energy efficiency in China’s textile industry: Evidence and policy implications," Applied Energy, Elsevier, vol. 237(C), pages 326-337.
    22. Wu, Jianxin & Xu, Hui & Tang, Kai, 2021. "Industrial agglomeration, CO2 emissions and regional development programs: A decomposition analysis based on 286 Chinese cities," Energy, Elsevier, vol. 225(C).
    23. Doblinger, Claudia & Surana, Kavita & Anadon, Laura Diaz, 2019. "Governments as partners: The role of alliances in U.S. cleantech startup innovation," Research Policy, Elsevier, vol. 48(6), pages 1458-1475.
    24. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 49, pages 2119-2171, Elsevier.
    25. Lall, Somik V. & Shalizi, Zmarak & Deichmann, Uwe, 2004. "Agglomeration economies and productivity in Indian industry," Journal of Development Economics, Elsevier, vol. 73(2), pages 643-673, April.
    26. Tabuchi, Takatoshi, 1986. "Urban agglomeration, capital augmenting technology, and labor market equilibrium," Journal of Urban Economics, Elsevier, vol. 20(2), pages 211-228, September.
    27. Huan Zhang & Kangning Xu, 2016. "Impact of Environmental Regulation and Technical Progress on Industrial Carbon Productivity: An Approach Based on Proxy Measure," Sustainability, MDPI, vol. 8(8), pages 1-15, August.
    28. 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.
    29. Ge Gao & Ke Wang & Chi Zhang & Yi-Ming Wei, 2019. "Synergistic effects of environmental regulations on carbon productivity growth in China’s major industrial sectors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 55-72, January.
    30. Levinson, Arik, 1996. "Environmental regulations and manufacturers' location choices: Evidence from the Census of Manufactures," Journal of Public Economics, Elsevier, vol. 62(1-2), pages 5-29, October.
    31. Lin, Hui-Lin & Li, Hsiao-Yun & Yang, Chih-Hai, 2011. "Agglomeration and productivity: Firm-level evidence from China's textile industry," China Economic Review, Elsevier, vol. 22(3), pages 313-329, September.
    32. Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
    33. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    34. Roberto Antonietti & Giulio Cainelli, 2011. "The role of spatial agglomeration in a structural model of innovation, productivity and export: a firm-level analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(3), pages 577-600, June.
    35. Arando, Saioa & Gago, Monica & Podivinsky, Jan M. & Stewart, Geoff, 2012. "Do labour-managed firms benefit from agglomeration?," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 193-200.
    36. Zhao, Min & Tan, Lirong & Zhang, Weiguo & Ji, Minhe & Liu, Yuan & Yu, Lizhong, 2010. "Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method," Energy, Elsevier, vol. 35(6), pages 2505-2510.
    37. Shen, Neng & Peng, Hui & Wang, Qunwei, 2021. "Spatial dependence, agglomeration externalities and the convergence of carbon productivity," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    38. 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).
    39. Hongman Liu & Shibin Wen & Zhuang Wang, 2022. "Agricultural production agglomeration and total factor carbon productivity: based on NDDF–MML index analysis," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 14(4), pages 709-740, July.
    40. W, Y, 1995. "Productivity Growth, Technological Progress, and Technical Efficiency Change in China: A Three-Sector Analysis1," Journal of Comparative Economics, Elsevier, vol. 21(2), pages 207-229, October.
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