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Will green technological progress help industrial collaborative agglomeration increase regional carbon productivity: evidence from Yangtze River Delta urban agglomerations

Author

Listed:
  • Weijun He

    (China Three Gorges University)

  • Yizhan Li

    (China Three Gorges University)

  • Xu Meng

    (China Three Gorges University)

  • Mengfei Song

    (China Three Gorges University)

  • Thomas Stephen Ramsey

    (China Three Gorges University)

  • Min An

    (China Three Gorges University
    China Three Gorges University)

Abstract

Carbon emission goals need China to upgrade its industrial structure to formulate a low-carbon economy. As a new form of industrial structure change, manufacturing and production service industries influence each other and become a collaborative agglomeration. This trend may have some impacts on carbon productivity. However, little research has been conducted whether and how the industrial collaborative agglomeration affects carbon productivity. To fill this research gap, this study employed panel data of 27 cities in the Yangtze River Delta urban agglomerations region from 2006 to 2020. First, by using the location entropy index, this study assessed the degree with regard to the collaborative agglomeration index of manufacturing and production services in the cities of the Yangtze River Delta urban agglomerations. Second, the study used a non-radial non-angular SBM model with the global Malmquist-Luenberger index to decompose the green technological progress index from each city’s green total factor productivity. Third, this paper also used a mediating effect model to determine whether green technological progress played a mediating role with regard to the effect among industrial collaboration agglomeration and carbon productivity. The results indicate that (1) Industrial collaborative agglomeration significantly increased carbon productivity and green technological progress, with the industrial collaboration agglomeration index increasing by 1%, carbon productivity increasing by 28.8%, and green technological progress index increasing by 5.3%. (2) Green technological progress shows a significant partial mediating effect in carbon productivity effects of industrial collaborative agglomeration, with the mediating effect accounting for 19.82% of the overall effect. (3) There was a heterogeneity effect between high-end productive service and manufacturing industries collaborative agglomeration along with traditional productive service and manufacturing industries collaborative agglomeration. Former collaborative agglomeration increased 1%, carbon productivity increased by 37.9% and the mediating effect of collaborative agglomeration on carbon productivity through green technological progress accounted for 23.18% of the total effect. This mediating effect was not significant for traditional productive service and manufacturing industries collaborative agglomeration. This paper can provide some suggestions for construction of a low-carbon economy in Yangtze River Delta urban agglomerations to improve the cities’ carbon productivity.

Suggested Citation

  • Weijun He & Yizhan Li & Xu Meng & Mengfei Song & Thomas Stephen Ramsey & Min An, 2024. "Will green technological progress help industrial collaborative agglomeration increase regional carbon productivity: evidence from Yangtze River Delta urban agglomerations," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26019-26046, October.
  • Handle: RePEc:spr:endesu:v:26:y:2024:i:10:d:10.1007_s10668-023-03716-w
    DOI: 10.1007/s10668-023-03716-w
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    1. Weiliang Chen & Xinjian Huang & Yanhong Liu & Yan Song, 2019. "Does Industry Integration Improve the Competitiveness of China’s Electronic Information Industry?—Evidence from the Integration of the Electronic Information Industry and Financial Industry," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    2. Yaoshan Ma & Qingyu Yao, 2022. "Impact of Producer Service Agglomeration on Carbon Emission Efficiency and Its Mechanism: A Case Study of Urban Agglomeration in the Yangtze River Delta," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    3. Ya Wen & Meng Liao, 2019. "The Impact of Industrial Agglomeration on Carbon Emissions: Empirical Evidence from China," International Journal of Management and Sustainability, Conscientia Beam, vol. 8(2), pages 67-78.
    4. 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.
    5. Edward L. Glaeser & Glenn Ellison, 1999. "The Geographic Concentration of Industry: Does Natural Advantage Explain Agglomeration?," American Economic Review, American Economic Association, vol. 89(2), pages 311-316, May.
    6. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    7. Tianling Zhang & Panda Su & Hongbing Deng, 2021. "Does the Agglomeration of Producer Services and the Market Entry of Enterprises Promote Carbon Reduction? An Empirical Analysis of the Yangtze River Economic Belt," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    8. Glenn Ellison & Edward L. Glaeser & William R. Kerr, 2010. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," American Economic Review, American Economic Association, vol. 100(3), pages 1195-1213, June.
    9. Claudio Di Berardino & Gianni Onesti, 2018. "Services, Vertical Linkages, and Development: The Case of the Baltic Countries," Eastern European Economics, Taylor & Francis Journals, vol. 56(2), pages 149-167, March.
    10. Moriki Hosoe & Tohru Naito, 2006. "Trans‐boundary pollution transmission and regional agglomeration effects," Papers in Regional Science, Wiley Blackwell, vol. 85(1), pages 99-120, March.
    11. Xing, Wan & Ye, Xuan & Kui, Lv, 2011. "Measuring convergence of China's ICT industry: An input-output analysis," Telecommunications Policy, Elsevier, vol. 35(4), pages 301-313, May.
    12. Wenwen Li & Wenping Wang & Yu Wang & Yingbo Qin, 2017. "Industrial structure, technological progress and CO2 emissions in China: Analysis based on the STIRPAT framework," 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. 88(3), pages 1545-1564, September.
    13. Ya Wen & Meng Liao, 2019. "The Impact of Industrial Agglomeration on Carbon Emissions: Empirical Evidence from China," International Journal of Management and Sustainability, Conscientia Beam, vol. 8(2), pages 67-78.
    14. Ryan M. Gallagher, 2013. "Shipping Costs, Information Costs, And The Sources Of Industrial Coagglomeration," Journal of Regional Science, Wiley Blackwell, vol. 53(2), pages 304-331, May.
    15. Shanzi Ke & Ming He & Chenhua Yuan, 2014. "Synergy and Co-agglomeration of Producer Services and Manufacturing: A Panel Data Analysis of Chinese Cities," Regional Studies, Taylor & Francis Journals, vol. 48(11), pages 1829-1841, November.
    16. Peng, Dan & Li, Rongrong & Shen, Chenrong & Wong, Zoey, 2022. "Industrial agglomeration, urban characteristics, and economic growth quality: The case of knowledge-intensive business services," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 18-28.
    17. Barry P. Bosworth & Jack E. Triplett, 2007. "The Early 21st Century U.S. Productivity Expansion is Still in Services," International Productivity Monitor, Centre for the Study of Living Standards, vol. 14, pages 3-19, Spring.
    18. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    19. Lei Gao & Jingran Zhang & Yu Tian & Xinyu Liu & Shuxin Guan & Yuhong Wu, 2023. "Study on the Impact of Collaborative Agglomeration of Manufacturing and Producer Services on PM 2.5 Pollution: Evidence from Urban Agglomerations in the Middle Reaches of the Yangtze River in China," IJERPH, MDPI, vol. 20(4), pages 1-18, February.
    20. 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.
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