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The Effect of Intelligent Development on Green Economy Efficiency: An Analysis Based on China’s Province-Level Data

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  • Yingyu Yao

    (School of Economics and Finance, Hohai University, Nanjing 211100, China)

  • Haiying Pan

    (Business School, Hohai University, Nanjing 211100, China)

Abstract

As the main driving force of the new technological revolution, intelligent development is the key to promoting high-quality economic development. This paper empirically examines the nonlinear influence of intelligent development on green economy efficiency and its action paths using provincial panel data of China from 2009 to 2021. The result provides significant evidence of a U-shaped relationship between intelligent development and green economy efficiency, indicating that intelligent development initially leads to green economy efficiency decreases before ultimately increasing. Additional analysis confirms that environmental regulation, green finance, and industrial agglomeration positively moderate the impact of intelligent development on green economy efficiency. Furthermore, heterogeneous tests reveal that in the eastern region and after the release of “Made in China 2025” in 2015, the nonlinear effect of intelligent development on green economy efficiency is more pronounced. The findings of this paper provide a beneficial reference for how to leverage intelligent technology to release new kinetic energy for green economic growth under the new development concept.

Suggested Citation

  • Yingyu Yao & Haiying Pan, 2025. "The Effect of Intelligent Development on Green Economy Efficiency: An Analysis Based on China’s Province-Level Data," Sustainability, MDPI, vol. 17(2), pages 1-15, January.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:678-:d:1568546
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    References listed on IDEAS

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    1. 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.
    2. Wenjie Chen & Fariha Kamal, 2016. "The impact of information and communication technology adoption on multinational firm boundary decisions," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 47(5), pages 563-576, June.
    3. Wang, Miao & Wu, Yi & Zhang, Xinmin & Lei, Lei, 2024. "How does industrial agglomeration affect internal structures of green economy in China? An analysis based on a three-hierarchy meta-frontier DEA and systematic GMM approach," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    4. Jiban Khuntia & Terence J. V. Saldanha & Sunil Mithas & V. Sambamurthy, 2018. "Information Technology and Sustainability: Evidence from an Emerging Economy," Production and Operations Management, Production and Operations Management Society, vol. 27(4), pages 756-773, April.
    5. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Does innovation respond to climate change? Empirical evidence from patents and greenhouse gas emissions," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 49-62.
    6. Ruiz, Jose L., 2018. "Financial development, institutional investors, and economic growth," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 218-224.
    7. ZHANG, Hongyong, 2015. "How does agglomeration promote the product innovation of Chinese firms?," China Economic Review, Elsevier, vol. 35(C), pages 105-120.
    8. Gollop, Frank M & Roberts, Mark J, 1983. "Environmental Regulations and Productivity Growth: The Case of Fossil-Fueled Electric Power Generation," Journal of Political Economy, University of Chicago Press, vol. 91(4), pages 654-674, August.
    9. Taqdees Fatima & Bingxiang Li & Shahab Alam Malik & Dan Zhang, 2023. "The Spatial Effect of Industrial Intelligence on High-Quality Green Development of Industry under Environmental Regulations and Low Carbon Intensity," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    10. Richard F. J. Haans & Constant Pieters & Zi-Lin He, 2016. "Thinking about U: Theorizing and testing U- and inverted U-shaped relationships in strategy research," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1177-1195, July.
    11. Xiaozhong Li & Jun Ling, 2023. "The Impact of Manufacturing Intelligence on Green Development Efficiency: A Study Based on Chinese Data," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    12. Xiekui Zhang & Hongfei Zhu, 2023. "The Impact of Industrial Intelligence on Carbon Emissions: Evidence from the Three Largest Economies," Sustainability, MDPI, vol. 15(7), pages 1-15, April.
    Full references (including those not matched with items on IDEAS)

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