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<p>Amid the interplay of economic growth, consumption upgrading, and carbon-neutrality goals, “overcoming the trilemma of pr oduction-side technological lock-in, consumption-side demand suppression, and marginal sustainability degradation” is crucial for achieving SDG7. This study employs a dynamic multi-node parallel network the directional distance function model, cold-spot and hotspot analysis, and an XGBoost-SHAP interpretable framework to systematically examine the spatiotemporal di vergence and multidimensional driving mechanisms of energy efficiency in China’s eight major economic regions from 2012 to 2021. Findings reveal that: (1) institutional constraints on regional factor allocation drive energy-efficiency heterogeneity-while the eastern coastal region has formed a sustained hotspot radiation belt through technological innovation and institutional flexibility, the northeastern region remains a persistent cold spot owing to barriers to factor mobility; (2) capital investment, technological innovation, and clean-energy transition act as positive drivers of system efficiency, but capital inputs beyond a critical threshold crowd out innovation resources, and both an excessively high agricultural share and a talent-industry mismatch significantly inhibit performance; (3) the production-consumption-development system has shifted from capital-scale expansion toward innovation-efficiency synergy-once technological innovation exceeds a tipping point, it triggers a leap in consumption-side efficiency, though policy time-lags exacerbate coordination delays between subsystems.This study provides quantitative evidence and practical references for achieving the SDG7 targets and formulating differentiated energy policies.</p>

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Spatiotemporal evolution of efficiency in the “production-consumption-sustainability” system: evidence from a dynamic multi-node parallel network DDF model

  • 期刊论文

  • 发表日期：

    2026年4月16日

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  • Chunna Liu,
  • Hongmei Yang,
  • Linhong Jin,
  • Xiaohong Na,
  • Xia Xu

摘要

Amid the interplay of economic growth, consumption upgrading, and carbon-neutrality goals, “overcoming the trilemma of pr oduction-side technological lock-in, consumption-side demand suppression, and marginal sustainability degradation” is crucial for achieving SDG7. This study employs a dynamic multi-node parallel network the directional distance function model, cold-spot and hotspot analysis, and an XGBoost-SHAP interpretable framework to systematically examine the spatiotemporal di vergence and multidimensional driving mechanisms of energy efficiency in China’s eight major economic regions from 2012 to 2021. Findings reveal that: (1) institutional constraints on regional factor allocation drive energy-efficiency heterogeneity-while the eastern coastal region has formed a sustained hotspot radiation belt through technological innovation and institutional flexibility, the northeastern region remains a persistent cold spot owing to barriers to factor mobility; (2) capital investment, technological innovation, and clean-energy transition act as positive drivers of system efficiency, but capital inputs beyond a critical threshold crowd out innovation resources, and both an excessively high agricultural share and a talent-industry mismatch significantly inhibit performance; (3) the production-consumption-development system has shifted from capital-scale expansion toward innovation-efficiency synergy-once technological innovation exceeds a tipping point, it triggers a leap in consumption-side efficiency, though policy time-lags exacerbate coordination delays between subsystems.This study provides quantitative evidence and practical references for achieving the SDG7 targets and formulating differentiated energy policies.