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<p>The research examines the spatial processes and socioeconomic factors underlying CO₂ emissions stemming from natural gas, crude oil, and coal in China, and, in particular, the consequences of the green economy. The study uses (ESDA) Exploratory Spatial Data Analysis and (GWR) Geographically Weighted Regression models to identify spatial patterns in emissions and analyze regional heterogeneity in the influence of key socioeconomic factors, including economic development, urbanization, and energy consumption intensity. The results indicate significant spatial clustering of emissions across China’s provinces and that the contributions of various fossil fuels to total emissions are substantial. The paper further notes that industrialization, high-energy industries, and population growth contribute to emissions, especially in the northeast and central areas. By adopting green economy concepts, this study provides practical insights into the feasibility of initiating clean energy transitions and sustainable development in China. It presents specific policy recommendations to address areas at various phases of the industrialization/urbanization process. The results underscore the need for region-specific policies that balance economic development and environmental preservation to advance China’s carbon-neutral objectives and serve as a model for other rapidly growing economies seeking to reduce the environmental impacts of coal use.</p>

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Spatial dynamics and socioeconomic determinants of CO₂ emissions from fossil fuels in China from the green economy perspective: An ESDA and GWR analysis

  • 期刊论文

  • 发表日期：

    2026年6月30日

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  • Puyuan Zheng,
  • Tong Zheng,
  • Jie Li

摘要

The research examines the spatial processes and socioeconomic factors underlying CO₂ emissions stemming from natural gas, crude oil, and coal in China, and, in particular, the consequences of the green economy. The study uses (ESDA) Exploratory Spatial Data Analysis and (GWR) Geographically Weighted Regression models to identify spatial patterns in emissions and analyze regional heterogeneity in the influence of key socioeconomic factors, including economic development, urbanization, and energy consumption intensity. The results indicate significant spatial clustering of emissions across China’s provinces and that the contributions of various fossil fuels to total emissions are substantial. The paper further notes that industrialization, high-energy industries, and population growth contribute to emissions, especially in the northeast and central areas. By adopting green economy concepts, this study provides practical insights into the feasibility of initiating clean energy transitions and sustainable development in China. It presents specific policy recommendations to address areas at various phases of the industrialization/urbanization process. The results underscore the need for region-specific policies that balance economic development and environmental preservation to advance China’s carbon-neutral objectives and serve as a model for other rapidly growing economies seeking to reduce the environmental impacts of coal use.