<p>Cities globally face the critical challenge of maintaining resilience and sustainability under growing energy constraints. Digitalization offers a potential pathway to transcend these constraints, yet the mechanisms through which the allocation of digital factors (DFA) specifically enhances urban resilience (UR) within an energy-constrained (ENC) context remain inadequately theorized and empirically underexplored. This study establishes a unified analytical framework integrating DFA, ENC, and UR. Utilizing a panel dataset of 244 Chinese cities (2011–2023) and employing fixed-effects, mediation, and moderation models, this study investigates the impact, channels, and boundary conditions of DFA on urban resilience under energy constraints. The results confirm that DFA significantly boosts UR. Mechanism analyses identify green innovation, industrial structure rationalization, and urban innovation capacity as three critical mediating pathways. Furthermore, market potential, human capital, digital technology innovation, and economic openness positively moderate this relationship by alleviating energy supply constraints. Heterogeneity analysis reveals stronger effects in western regions, non-smart city pilot areas, and cities leading in digital innovation. This research elucidates the multidimensional enabling mechanisms of digitalization on urban systems, providing a novel perspective on the digital economy’s role in sustainable urban governance and evidence for differentiated policy-making.</p>

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The impact of digital factor allocation on urban resilience under energy constraints in China

  • Sisi Zhang,
  • Yingxin Su,
  • Yating Zhong,
  • Qi Cui

摘要

Cities globally face the critical challenge of maintaining resilience and sustainability under growing energy constraints. Digitalization offers a potential pathway to transcend these constraints, yet the mechanisms through which the allocation of digital factors (DFA) specifically enhances urban resilience (UR) within an energy-constrained (ENC) context remain inadequately theorized and empirically underexplored. This study establishes a unified analytical framework integrating DFA, ENC, and UR. Utilizing a panel dataset of 244 Chinese cities (2011–2023) and employing fixed-effects, mediation, and moderation models, this study investigates the impact, channels, and boundary conditions of DFA on urban resilience under energy constraints. The results confirm that DFA significantly boosts UR. Mechanism analyses identify green innovation, industrial structure rationalization, and urban innovation capacity as three critical mediating pathways. Furthermore, market potential, human capital, digital technology innovation, and economic openness positively moderate this relationship by alleviating energy supply constraints. Heterogeneity analysis reveals stronger effects in western regions, non-smart city pilot areas, and cities leading in digital innovation. This research elucidates the multidimensional enabling mechanisms of digitalization on urban systems, providing a novel perspective on the digital economy’s role in sustainable urban governance and evidence for differentiated policy-making.