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Urban Coupling Coordination in the 3E-D-T Nexus: A Case Study of Jiangsu, China

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  • Bingqing Sun

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
    These authors contributed equally to this work.)

  • Weidong Wang

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
    These authors contributed equally to this work.)

  • Yang Wang

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
    School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China
    These authors contributed equally to this work.)

  • Qing Zhu

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China)

  • Ziyu Wang

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

  • Peilin Liu

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China)

  • Zhihao Sun

    (School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Zeyi Tian

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China)

Abstract

Amid China’s “dual carbon” goals and technological transformation, the traditional energy–economy–environment (3E) framework fails to capture evolving urban sustainability patterns, as digitalization and innovation emerge as endogenous drivers. This study constructs an expanded five-system framework (3E-D-T: energy, economy, environment, digitalization, technology) and examines its coupling coordination. Using panel data from 13 Jiangsu cities (2015–2024), we employ entropy weighting, coupling coordination models, Dagum Gini decomposition, spatial autocorrelation, and panel Tobit regression. Results show that incorporating digitalization and technology alters coordination assessments, revealing structural disparities overlooked by the traditional framework. Significant intra-provincial heterogeneity exists across Jiangsu’s regions, with distinct spatial gradients. External factors—economic development, industrial structure, fiscal support, and environmental regulation—exert differentiated regional impacts. Contributions include: (1) expanding 3E to 3E-D-T by endogenizing digitalization and technology; (2) establishing an integrated measurement-evolution-mechanism analytical system; (3) providing empirical evidence on internal heterogeneity and differentiated governance pathways in eastern China.

Suggested Citation

  • Bingqing Sun & Weidong Wang & Yang Wang & Qing Zhu & Ziyu Wang & Peilin Liu & Zhihao Sun & Zeyi Tian, 2026. "Urban Coupling Coordination in the 3E-D-T Nexus: A Case Study of Jiangsu, China," Sustainability, MDPI, vol. 18(12), pages 1-36, June.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:12:p:6200-:d:1968733
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