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High-tech industry agglomeration and regional green development: An analysis of spatial Durbin model

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  • Li, Junwei
  • Liu, Wenxiao
  • Du, Lei
  • Xiao, Jin

Abstract

Improving the level of regional green development is an important means to assist China's high-quality economic development. Based on provincial panel data from 2011 to 2021, this paper uses fixed effect model and spatial Durbin model to test the impact and spatial effect of high-tech industrial agglomeration (HIA) and regional green development (RGD). Research has found that: (1) China's overall RGD level is relatively high, presenting a spatial pattern of “central region>eastern region>western region”. (2) HIA and RGD have a significant spatial correlation, exhibiting a “high high” or “low low” spatial clustering feature. HIA has a promoting effect on RGD in both the province and surrounding provinces, with a significant positive spatial spillover effect. (3) HIA significantly improved the RGD levels in the eastern and central regions, but played a hindering role in the western regions. (4) The impact of HIA on RGD varies in different stages of development. The two stages of HIA have significantly promoted the improvement of RGD levels in both the province and surrounding provinces, and the “2016–2021” stage has a stronger promoting effect than the “2011–2015” stage. Finally, based on the research, this article proposes some relevant policy recommendations.

Suggested Citation

  • Li, Junwei & Liu, Wenxiao & Du, Lei & Xiao, Jin, 2024. "High-tech industry agglomeration and regional green development: An analysis of spatial Durbin model," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
  • Handle: RePEc:eee:tefoso:v:205:y:2024:i:c:s0040162524001689
    DOI: 10.1016/j.techfore.2024.123372
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    References listed on IDEAS

    as
    1. Frederick van der Ploeg & Cees Withagen, 2015. "Global Warming and the Green Paradox: A Review of Adverse Effects of Climate Policies," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 9(2), pages 285-303.
    2. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    3. Paul Krugman, 2011. "The New Economic Geography, Now Middle-aged," Regional Studies, Taylor & Francis Journals, vol. 45(1), pages 1-7.
    4. Yu Fu & Agus Supriyadi & Tao Wang & Luwei Wang & Giuseppe T. Cirella, 2020. "Effects of Regional Innovation Capability on the Green Technology Efficiency of China’s Manufacturing Industry: Evidence from Listed Companies," Energies, MDPI, vol. 13(20), pages 1-22, October.
    5. Feldman, Maryann P. & Audretsch, David B., 1999. "Innovation in cities:: Science-based diversity, specialization and localized competition," European Economic Review, Elsevier, vol. 43(2), pages 409-429, February.
    6. Claudia Capozza & Sergio Salomone & Ernesto Somma, 2018. "Local industrial structure, agglomeration economies and the creation of innovative start-ups: evidence from the Italian case," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 30(7-8), pages 749-775, August.
    7. Wang, Xinbin & Wang, Zilong & Wang, Rong, 2023. "Does green economy contribute towards COP26 ambitions? Exploring the influence of natural resource endowment and technological innovation on the growth efficiency of China's regional green economy," Resources Policy, Elsevier, vol. 80(C).
    8. Yanmin Shi & Chaofeng Shao & Zheyu Zhang, 2020. "Efficiency and Driving Factors of Green Development of Tourist Cities Based on Ecological Footprint," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    9. 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).
    10. Shahzad, Umer & Ferraz, Diogo & Nguyen, Huu-Huan & Cui, Lianbiao, 2022. "Investigating the spill overs and connectedness between financial globalization, high-tech industries and environmental footprints: Fresh evidence in context of China," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    11. Joshua Drucker, 2013. "Industrial Structure and the Sources of Agglomeration Economies: Evidence from Manufacturing Plant Production," Growth and Change, Wiley Blackwell, vol. 44(1), pages 54-91, March.
    12. Bo Kyeong Lee & So Young Sohn, 2019. "Disparities in exploitative and exploratory patenting performance across regions: Focusing on the roles of agglomeration externalities," Papers in Regional Science, Wiley Blackwell, vol. 98(1), pages 241-263, February.
    13. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    14. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    15. Jun Koo, 2007. "Determinants of Localized Technology Spillovers: Role of Regional and Industrial Attributes," Regional Studies, Taylor & Francis Journals, vol. 41(7), pages 995-1011.
    16. Gao, Kang & Yuan, Yijun, 2021. "The effect of innovation-driven development on pollution reduction: Empirical evidence from a quasi-natural experiment in China," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    17. Rafael Boix & Vittorio Galletto, 2009. "Innovation and Industrial Districts: A First Approach to the Measurement and Determinants of the I-District Effect," Regional Studies, Taylor & Francis Journals, vol. 43(9), pages 1117-1133.
    18. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    19. Andrea Caragliu & Laura de Dominicis & Henri L.F. de Groot, 2016. "Both Marshall and Jacobs were Right!," Economic Geography, Taylor & Francis Journals, vol. 92(1), pages 87-111, January.
    20. He, Lingyun & Liu, Rongyan & Zhong, Zhangqi & Wang, Deqing & Xia, Yufei, 2019. "Can green financial development promote renewable energy investment efficiency? A consideration of bank credit," Renewable Energy, Elsevier, vol. 143(C), pages 974-984.
    21. Anel Kireyeva & Dinara Mussabalina & Baurzhan Tolysbaev, 2018. "Assessment and Identification of the Possibility for Creating IT Clusters in Kazakhstan Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 463-473.
    22. Baptista, Rui & Swann, Peter, 1998. "Do firms in clusters innovate more?," Research Policy, Elsevier, vol. 27(5), pages 525-540, September.
    23. Zhao, Xin & Nakonieczny, Joanna & Jabeen, Fauzia & Shahzad, Umer & Jia, Wenxing, 2022. "Does green innovation induce green total factor productivity? Novel findings from Chinese city level data," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    24. Qing Yang & Xingzi Wan & Huimin Ma, 2015. "Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    25. Dong-hyun Oh & Jeong-dong Lee, 2010. "A metafrontier approach for measuring Malmquist productivity index," Empirical Economics, Springer, vol. 38(1), pages 47-64, February.
    26. Ye, Jiangfeng & Wan, Qunchao & Li, Ruida & Yao, Zhu & Huang, Dujuan, 2022. "How do R&D agglomeration and economic policy uncertainty affect the innovative performance of Chinese high-tech industry?," Technology in Society, Elsevier, vol. 69(C).
    27. Liang, Jiaochen & Goetz, Stephan J., 2018. "Technology intensity and agglomeration economies," Research Policy, Elsevier, vol. 47(10), pages 1990-1995.
    28. Hu, Dianxi & Jiao, Jianling & Tang, Yunshu & Xu, Yuwen & Zha, Jianrui, 2022. "How global value chain participation affects green technology innovation processes: A moderated mediation model," Technology in Society, Elsevier, vol. 68(C).
    29. Jaakko Simonen & Rauli Svento & Artti Juutinen, 2015. "Specialization and diversity as drivers of economic growth: Evidence from High-Tech industries," Papers in Regional Science, Wiley Blackwell, vol. 94(2), pages 229-247, June.
    30. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    31. 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).
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