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Spatio-Temporal Evolution Pattern and Driving Forces of Carbon Lock-In in the Yangtze River Delta Region

Author

Listed:
  • Peng Chen

    (School of Business, Yangzhou University, Yangzhou 225127, China)

  • Zaijun Li

    (Research Institute of Central Jiangsu Development, Yangzhou University, Yangzhou 225009, China)

  • Meijuan Hu

    (School of Tourism and Cuisine, Yangzhou University, Yangzhou 225127, China)

Abstract

Addressing carbon lock-in is essential for facilitating economic transformation and sustainable, low-carbon growth in the Yangtze River Delta (YRD) region. This study establishes a multidimensional evaluation framework to assess carbon lock-in levels and explores its spatio-temporal evolution as well as key drivers within the YRD urban agglomeration. Findings indicate a general decline in carbon lock-in across the region, with diminishing disparities among cities. While industrial lock-in, technological lock-in, and institutional lock-in have shown a weakening trend, social behavioral lock-in has intensified. Initially, higher levels of carbon lock-in were concentrated in less developed cities, though this concentration has steadily decreased, whereas more developed cities consistently exhibited lower lock-in levels. The carbon intensity of fixed assets and carbon emission intensity have emerged as the primary barrier factors contributing to carbon lock-in. Additionally, socio-economic factors and digital technology innovations are the main influences on carbon lock-in. These insights provide guidance for policy efforts to mitigate carbon lock-in and support for advancing green integrated development strategies in the YRD region.

Suggested Citation

  • Peng Chen & Zaijun Li & Meijuan Hu, 2025. "Spatio-Temporal Evolution Pattern and Driving Forces of Carbon Lock-In in the Yangtze River Delta Region," Sustainability, MDPI, vol. 17(12), pages 1-23, June.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:12:p:5229-:d:1673047
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    References listed on IDEAS

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    1. Bernard Fingleton & Julie Le Gallo, 2008. "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: Finite sample properties," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 319-339, August.
    2. Hu, Zheng & Xu, Yingzhi, 2025. "Can new energy demonstration cities break through the multiple carbon lock-in? Evidence based on double machine learning," Energy Policy, Elsevier, vol. 199(C).
    3. Julie Le Gallo & Bernard Fingleton, 2008. "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances : finite sample properties," Post-Print hal-00485035, HAL.
    4. Luo, Haizhi & Wang, Chenglong & Li, Cangbai & Meng, Xiangzhao & Yang, Xiaohu & Tan, Qian, 2024. "Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China," Applied Energy, Elsevier, vol. 360(C).
    5. Herman, Kyle S. & Hall, Jeremy K. & Sovacool, Benjamin K. & Iskandarova, Marfuga, 2025. "The industrial decarbonization paradigm: Carbon lock-in or path renewal in the United Kingdom?," Ecological Economics, Elsevier, vol. 235(C).
    6. Xia Wang & Lijun Zhang & Yaochen Qin & Jingfei Zhang, 2020. "Analysis of China’s Manufacturing Industry Carbon Lock-In and Its Influencing Factors," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    7. Chen, Xu & Li, Zhongshu & Gallagher, Kevin P. & Mauzerall, Denise L., 2021. "Financing carbon lock-in in developing countries: Bilateral financing for power generation technologies from China, Japan, and the United States," Applied Energy, Elsevier, vol. 300(C).
    8. Zhao, Congyu & Dong, Kangyin & Lee, Chien-Chiang, 2024. "Carbon lock-in endgame: Can energy trilemma eradication contribute to decarbonization?," Energy, Elsevier, vol. 293(C).
    9. Dan Tong & Qiang Zhang & Yixuan Zheng & Ken Caldeira & Christine Shearer & Chaopeng Hong & Yue Qin & Steven J. Davis, 2019. "Committed emissions from existing energy infrastructure jeopardize 1.5 °C climate target," Nature, Nature, vol. 572(7769), pages 373-377, August.
    10. Pia Buschmann & Angela Oels, 2019. "The overlooked role of discourse in breaking carbon lock‐in: The case of the German energy transition," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 10(3), May.
    11. Dong, Kangyin & Jia, Rongwen & Zhao, Congyu & Wang, Kun, 2023. "Can smart transportation inhibit carbon lock-in? The case of China," Transport Policy, Elsevier, vol. 142(C), pages 59-69.
    12. Bertram, Christoph & Johnson, Nils & Luderer, Gunnar & Riahi, Keywan & Isaac, Morna & Eom, Jiyong, 2015. "Carbon lock-in through capital stock inertia associated with weak near-term climate policies," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 62-72.
    13. Reinhilde Veugelers & Simone Tagliapietra & Cecilia Trasi, 2024. "Green Industrial Policy in Europe: Past, Present, and Prospects," Journal of Industry, Competition and Trade, Springer, vol. 24(1), pages 1-22, December.
    14. Witt, Ulrich, 1997. ""Lock-in" vs. "critical masses" -- Industrial change under network externalities," International Journal of Industrial Organization, Elsevier, vol. 15(6), pages 753-773, October.
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