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Regional Integration, Technological Innovation, and Digital Economy: Evolution and Evidence of the Decarbonization Driving Forces in the Yangtze River Delta

Author

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  • Hongqiang Wang

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Xuetong Sun

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Xiaochang Lu

    (School of Management, Shanghai University, Shanghai 200444, China)

Abstract

Economic decarbonization has gained attention as a viable way to achieve carbon neutrality without sacrificing high-quality economic development. Regional integration (RI), technological innovation (TI), and the digital economy (DIE) are important decarbonization driving forces. To analyze how they impact carbon reduction and the evolutionary patterns observed in urban development, this study focuses on the urban agglomeration of the Yangtze River Delta (YRD) and uses the spatial Durbin model (SDM) to decompose the carbon reduction effects into spatial spillover effects and short-term and long-term effects. The research findings include the following: (1) The decarbonization driving forces have promoted economic decarbonization in the YRD and exhibit distinct evolutionary patterns. (2) The decarbonization effects exhibit spatiotemporal heterogeneity depending on the economic situation, period, and energy status of the cities. Over time, TI and DIE demonstrate better decarbonization effects. Economically developed cities are more likely to expand their carbon reduction advantages, while cities with dense energy supplies struggle to achieve their full carbon reduction potential due to traditional energy structures. (3) Industrial structure upgrading (UIS) is a critical pathway through which TI and DIE reduce carbon emissions. These findings enrich existing research on decarbonization drivers and offer valuable insights for governments to formulate further policies for economic decarbonization.

Suggested Citation

  • Hongqiang Wang & Xuetong Sun & Xiaochang Lu, 2025. "Regional Integration, Technological Innovation, and Digital Economy: Evolution and Evidence of the Decarbonization Driving Forces in the Yangtze River Delta," Sustainability, MDPI, vol. 17(12), pages 1-28, June.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:12:p:5463-:d:1678463
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    as
    1. James R. Tybout, 2000. "Manufacturing Firms in Developing Countries: How Well Do They Do, and Why?," Journal of Economic Literature, American Economic Association, vol. 38(1), pages 11-44, March.
    2. Song, Xiaoling & Yao, Yumeng & Wu, Xueke, 2023. "Digital finance, technological innovation, and carbon dioxide emissions," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 482-494.
    3. Lee, Chien-Chiang & He, Zhi-Wen, 2022. "Natural resources and green economic growth: An analysis based on heterogeneous growth paths," Resources Policy, Elsevier, vol. 79(C).
    4. Sun, Guanglin & Fang, Jiming & Li, Jinning & Wang, Xiaolin, 2024. "Research on the impact of the integration of digital economy and real economy on enterprise green innovation," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    5. Wen, Lanjiao & Chatalova, Lioudmila & Gao, Xin & Zhang, Anlu, 2021. "Reduction of carbon emissions through resource-saving and environment-friendly regional economic integration: Evidence from Wuhan metropolitan area, China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    6. Daniel L. Millimet & Jayjit Roy, 2016. "Empirical Tests of the Pollution Haven Hypothesis When Environmental Regulation is Endogenous," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 652-677, June.
    7. Chen, Jiandong & Wang, Ping & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2018. "Decomposition and decoupling analysis of CO2 emissions in OECD," Applied Energy, Elsevier, vol. 231(C), pages 937-950.
    8. Shahbaz, Muhammad & Loganathan, Nanthakumar & Muzaffar, Ahmed Taneem & Ahmed, Khalid & Ali Jabran, Muhammad, 2016. "How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 83-93.
    9. Ioannis Tikoudis & Walid Oueslati, 2023. "The future of transport-related emissions in dense urban areas: an analysis of various policy scenarios with MOLES," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(2), pages 205-268, April.
    10. Bai, Ling & Guo, Tianran & Xu, Wei & Liu, Yaobin & Kuang, Ming & Jiang, Lei, 2023. "Effects of digital economy on carbon emission intensity in Chinese cities: A life-cycle theory and the application of non-linear spatial panel smooth transition threshold model," Energy Policy, Elsevier, vol. 183(C).
    11. Adriana Peluffo, 2013. "Regional integration and technology diffusion: The case of Uruguay," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 22(5), pages 786-816, August.
    12. Weihua Su & Dongcai Zhang & Chonghui Zhang & Dalia Streimikiene, 2020. "Sustainability assessment of energy sector development in China and European Union," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1063-1076, September.
    13. Wang, Ping & Wu, Wanshui & Zhu, Bangzhu & Wei, Yiming, 2013. "Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China," Applied Energy, Elsevier, vol. 106(C), pages 65-71.
    14. Van Biesebroeck, Johannes, 2005. "Exporting raises productivity in sub-Saharan African manufacturing firms," Journal of International Economics, Elsevier, vol. 67(2), pages 373-391, December.
    15. Chen, Danling & Hu, Wenbo & Li, Yuying & Zhang, Chaozheng & Lu, Xinhai & Cheng, Hui, 2023. "Exploring the temporal and spatial effects of city size on regional economic integration: Evidence from the Yangtze River Economic Belt in China," Land Use Policy, Elsevier, vol. 132(C).
    16. J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
    17. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    18. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    19. Wen Guo & Tao Sun & Hongjun Dai, 2016. "Effect of Population Structure Change on Carbon Emission in China," Sustainability, MDPI, vol. 8(3), pages 1-20, March.
    20. Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
    21. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
    22. Chen, Yang & Shao, Shuai & Fan, Meiting & Tian, Zhihua & Yang, Lili, 2022. "One man's loss is another's gain: Does clean energy development reduce CO2 emissions in China? Evidence based on the spatial Durbin model," Energy Economics, Elsevier, vol. 107(C).
    23. Saia, Artjom, 2023. "Digitalization and CO2 emissions: Dynamics under R&D and technology innovation regimes," Technology in Society, Elsevier, vol. 74(C).
    24. Wu, Linfei & Sun, Liwen & Qi, Peixiao & Ren, Xiangwei & Sun, Xiaoting, 2021. "Energy endowment, industrial structure upgrading, and CO2 emissions in China: Revisiting resource curse in the context of carbon emissions," Resources Policy, Elsevier, vol. 74(C).
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