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<p>Tropospheric ozone pollution has become an urgent challenge in China’s environmental governance. As a secondary pollutant generated through photochemical reactions of anthropogenic NOₓ and volatile organic compounds (VOCs), tropospheric ozone poses significant risks to ecosystems, biodiversity, and human health. We quantify green total factor energy efficiency (GTFEE) via the slacks-based measure Malmquist-Luenberger (SBM-ML) model and decompose its direct and indirect effects on NOₓ using a Spatial Durbin Model (SDM) across 257 cities (2017–2021). Key findings reveal: (1) Industrial NOₓ emissions exhibit significant spatial spillovers, demonstrating transboundary impacts; (2) GTFEE enhancement suppresses local industrial NOₓ emissions while generating spatial spillover effects; (3) Government R&amp;D support amplifies these effects.</p>

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Effects of green total factor energy efficiency on industrial NOx emission abatement: based on SBM-ML and spatial durbin model for 257 prefecture-level cities in China

  • 期刊论文

  • 发表日期：

    2026年2月19日

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  • Yuanyang Song,
  • Zhengbo Yue,
  • Xiaohui Wang,
  • Lei Sun,
  • Mengxi Zang,
  • Chun Guo

摘要

Tropospheric ozone pollution has become an urgent challenge in China’s environmental governance. As a secondary pollutant generated through photochemical reactions of anthropogenic NOₓ and volatile organic compounds (VOCs), tropospheric ozone poses significant risks to ecosystems, biodiversity, and human health. We quantify green total factor energy efficiency (GTFEE) via the slacks-based measure Malmquist-Luenberger (SBM-ML) model and decompose its direct and indirect effects on NOₓ using a Spatial Durbin Model (SDM) across 257 cities (2017–2021). Key findings reveal: (1) Industrial NOₓ emissions exhibit significant spatial spillovers, demonstrating transboundary impacts; (2) GTFEE enhancement suppresses local industrial NOₓ emissions while generating spatial spillover effects; (3) Government R&D support amplifies these effects.