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Carbon Emissions and Innovation Cities: A SHAP-Model-Based Study on Decoupling Trends and Policy Implications in Coastal China

Author

Listed:
  • Xiaoyu Fang

    (School of Mathematics and Information Sciences, Yantai University, Yantai 264005, China)

  • Lin Ding

    (School of Mathematics and Information Sciences, Yantai University, Yantai 264005, China)

  • Meng Gao

    (School of Mathematics and Information Sciences, Yantai University, Yantai 264005, China)

Abstract

This study investigates the spatiotemporal distribution of carbon emissions and the decoupling relationship between emissions and innovation-driven urban development in six coastal provinces and municipalities in China from 2008 to 2022. The main questions of this paper are as follows: What are the spatial and temporal distribution characteristics of carbon emissions in the study area? What is the decoupling relationship between carbon emissions and innovation-driven urban development? What key variables contribute significantly to carbon emissions and urban development? Carbon emissions increased overall, with higher levels in northern regions such as Shandong, northern Jiangsu, and the Yangtze River Delta. Meanwhile, innovation levels rose but disparities widened, with northern cities leading and those in western Fujian and Guangdong lagging behind. The green economy and industrial transformation were key drivers of rapid development in some cities. To identify the driving factors, the SHAP (SHapley Additive exPlanations) model was employed to quantify the contributions of key variables, including energy structure, technological innovation, and industrial upgrading, to both carbon emissions and urban development. This study found that decoupling between carbon emissions and smart city development improved, transitioning from negative to strong decoupling, particularly in coastal cities. These insights can assist governments in formulating sustainable development strategies. High-emission cities should focus on integrating low-emission measures to mitigate their carbon footprint. High-carbon cities need to transition to low-carbon pathways, enhancing resource efficiency and reducing emissions. Low-emission cities should prioritize improving carbon sinks. Cities with weak economies but rich ecological resources should develop tertiary and ecological economies. Developed cities should optimize resource allocation, digitize industries, and pursue low-carbon growth. Additionally, adjustments in transportation and industry can further boost innovation and urbanization.

Suggested Citation

  • Xiaoyu Fang & Lin Ding & Meng Gao, 2025. "Carbon Emissions and Innovation Cities: A SHAP-Model-Based Study on Decoupling Trends and Policy Implications in Coastal China," Sustainability, MDPI, vol. 17(8), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:8:p:3344-:d:1631028
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    References listed on IDEAS

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    1. Lu Liu & Shenshen Si & Jing Li, 2023. "Research on the Effect of Regional Talent Allocation on High-Quality Economic Development—Based on the Perspective of Innovation-Driven Growth," Sustainability, MDPI, vol. 15(7), pages 1-21, April.
    2. Wang, Xiaoqing & Qin, Chuan & Liu, Yufeng & Tanasescu, Cristina & Bao, Jiangnan, 2023. "Emerging enablers of green low-carbon development: Do digital economy and open innovation matter?," Energy Economics, Elsevier, vol. 127(PA).
    3. Fanbo Li & Hongfeng Zhang, 2022. "How the “Absorption Processes” of Urban Innovation Contribute to Sustainable Development—A Fussy Set Qualitative Comparative Analysis Based on Seventy-Two Cities in China," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    4. Mukund Sundararajan & Amir Najmi, 2019. "The many Shapley values for model explanation," Papers 1908.08474, arXiv.org, revised Feb 2020.
    5. Lu, Qinli & Yang, Hong & Huang, Xianjin & Chuai, Xiaowei & Wu, Changyan, 2015. "Multi-sectoral decomposition in decoupling industrial growth from carbon emissions in the developed Jiangsu Province, China," Energy, Elsevier, vol. 82(C), pages 414-425.
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    Cited by:

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    2. Pinjie Zhang & Jingyan Wang & Yijia Zhu & Pingyan Ge & Zhunqiao Liu, 2025. "Assessment of Ecosystem Service Value and Implementation Pathways: A Case Study of Jiangsu Jianchuan Ecological Restoration Project," Land, MDPI, vol. 14(8), pages 1-19, August.

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