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Does green technology innovation promote green economic growth? –Examining regional heterogeneity between resource-based and non-resource-based cities

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  • Si, Rijimoleng
  • Wang, Yuan
  • Cao, Minglei
  • Wen, Hua

Abstract

Using the radial Direction Distance Function (DDF) Golbal-Malmquist-luenberger (GML) index to calculate the growth efficiency of all-factor green economy, 262 resource-based and non-resource-based cities in China from 2003 to 2018 were taken as samples. The effects of green technology innovation on the growth efficiency of green economy and its heterogeneity are discussed through the fixed-effect model, and the internal influencing mechanism between resource dependence, green technology innovation and green economy growth in resource-based areas is further tested. The results show that: under the whole sample, green technology innovation has an “inverted U-shaped” nonlinear effect on the efficiency of green economy. Green technology innovation promotes the growth of green economy, However, with the continuous improvement of the level of green technology innovation, its marginal effect on the efficiency of green economy growth decreases. In the heterogeneity analysis of resource-based cities and non-resource-based cities, it is found that the impact of green technology innovation on green economic growth in resource-based cities is greater than that in non-resource-based cities. In the heterogeneity analysis of different resource-based cities, it is found that green technology innovation of growing and mature resource-based cities will significantly promote the growth of green economy. The mechanism test shows that the dependence of resource-based cities on natural resources will have a “crowding out effect” on human capital investment and science and technology investment.

Suggested Citation

  • Si, Rijimoleng & Wang, Yuan & Cao, Minglei & Wen, Hua, 2024. "Does green technology innovation promote green economic growth? –Examining regional heterogeneity between resource-based and non-resource-based cities," International Review of Economics & Finance, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:reveco:v:94:y:2024:i:c:s1059056024003988
    DOI: 10.1016/j.iref.2024.103406
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    References listed on IDEAS

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    1. Olena Ivus & Matthew Boland, 2015. "The employment and wage impact of broadband deployment in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(5), pages 1803-1830, December.
    2. Fang, Zhen, 2023. "Assessing the impact of renewable energy investment, green technology innovation, and industrialization on sustainable development: A case study of China," Renewable Energy, Elsevier, vol. 205(C), pages 772-782.
    3. Xu, Yang & Liu, Xia & Yang, Liu & Yang, Xiaodong & Yan, Hongchuan & Ran, Qiying, 2023. "Exploring the impact of natural resource dependence on green technology innovation: New insights from China," Resources Policy, Elsevier, vol. 86(PA).
    4. Wang, Haijun & Wang, Yongming & Zhang, Xue & Zhang, Cheng, 2024. "The effect of foreign aid on carbon emissions in recipient countries: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    5. Wang, Haijun & Mao, Kunyuan & Wu, Wanting & Luo, Haohan, 2023. "Fintech inputs, non-performing loans risk reduction and bank performance improvement," International Review of Financial Analysis, Elsevier, vol. 90(C).
    6. Ghisetti, Claudia & Quatraro, Francesco, 2017. "Green Technologies and Environmental Productivity: A Cross-sectoral Analysis of Direct and Indirect Effects in Italian Regions," Ecological Economics, Elsevier, vol. 132(C), pages 1-13.
    7. Razzaq, Asif & Sharif, Arshian & Ozturk, Ilhan & Skare, Marinko, 2023. "Asymmetric influence of digital finance, and renewable energy technology innovation on green growth in China," Renewable Energy, Elsevier, vol. 202(C), pages 310-319.
    8. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    9. Wang, Haijun & Jiao, Shuaipeng & Bu, Kun & Wang, Yebin & Wang, Yaxian, 2023. "Digital transformation and manufacturing companies’ ESG responsibility performance," Finance Research Letters, Elsevier, vol. 58(PB).
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    1. Yingji Liu & Ju Guo & Fangbing Shen & Yuegang Song, 2025. "Can artificial intelligence technology improve green total factor efficiency in energy utilisation? Empirical evidence from 282 cities in China," Economic Change and Restructuring, Springer, vol. 58(2), pages 1-34, April.

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