<p>China’s construction industry is a major carbon-emitting sector undergoing rapid digital transformation, yet the coordination between the Digital Economy (DE) and Low-Carbon Development in the Construction Industry (LCDCI) remains insufficiently understood. Addressing this gap, this study analyzes data from 30 provinces (2011–2023) to systematically evaluate DE–LCDCI interactions. A structured analytical framework is adopted, integrating entropy-based DE measurement, super-efficiency SBM evaluation of LCDCI, coupling coordination degree (CCD) analysis, spatial autocorrelation, and Tobit regression to identify key drivers. Results show a steady rise in coordination (0.45 in 2011 to 0.68 in 2023), pronounced regional disparities (East &gt; Central &gt; West &gt; Northeast), and significant spatial clustering. Economic growth, technological innovation, industrial upgrading, and government investment positively promote synergy, while energy consumption structure constrains it. The findings offer structural insights for enhancing DE–LCDCI coordination, informing policy on cross-regional collaboration, green digital technology integration, and energy optimization. This study provides both theoretical and practical guidance for linking DE development with low-carbon transformation in China’s construction sector.</p>

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Spatial-temporal characteristics and influencing factors of the coupling and coordination between the digital economy and low-carbon development in the construction industry

  • Mengru Lan,
  • Yisheng Liu,
  • Meng Yang,
  • Zhuoqun Du

摘要

China’s construction industry is a major carbon-emitting sector undergoing rapid digital transformation, yet the coordination between the Digital Economy (DE) and Low-Carbon Development in the Construction Industry (LCDCI) remains insufficiently understood. Addressing this gap, this study analyzes data from 30 provinces (2011–2023) to systematically evaluate DE–LCDCI interactions. A structured analytical framework is adopted, integrating entropy-based DE measurement, super-efficiency SBM evaluation of LCDCI, coupling coordination degree (CCD) analysis, spatial autocorrelation, and Tobit regression to identify key drivers. Results show a steady rise in coordination (0.45 in 2011 to 0.68 in 2023), pronounced regional disparities (East > Central > West > Northeast), and significant spatial clustering. Economic growth, technological innovation, industrial upgrading, and government investment positively promote synergy, while energy consumption structure constrains it. The findings offer structural insights for enhancing DE–LCDCI coordination, informing policy on cross-regional collaboration, green digital technology integration, and energy optimization. This study provides both theoretical and practical guidance for linking DE development with low-carbon transformation in China’s construction sector.