School of Economics and Management, Beijing Forestry University, Beijing, 100083, People's Republic of China.
School of Economics and Management, China Agricultural University, Beijing, 100085, People's Republic of China.
Environ Sci Pollut Res Int. 2022 Sep;29(44):67046-67062. doi: 10.1007/s11356-022-20551-0. Epub 2022 May 5.
Improving green energy efficiency is crucial to promoting China's high-quality economic development and reducing the environmental pollution. In this paper, the Malmquist-Luenberger index measures the green energy efficiency of 30 provinces in China from 2004 to 2019. Based on the measurement results, the spatial Durbin model is used to empirically study the impact of environmental regulation on green energy efficiency and its spatial spillover effects. The results show that China's green energy efficiency is low, and its growth mainly comes from technological progress (TECH) rather than technological efficiency (EFFCH). The eastern region has the highest efficiency of green energy, followed by the West and the lowest in the Central region. The estimation results of the spatial Durbin model show that both environmental regulation and green energy efficiency have a significant spatial correlation. Environmental regulation can improve the green energy efficiency in the local province but inhibit green energy efficiency in the adjacent provinces. Finally, this paper puts forward relevant policy suggestions according to the research results.
提高绿色能源效率对于促进中国高质量经济发展和减少环境污染至关重要。本文利用 Malmquist-Luenberger 指数测算了 2004-2019 年中国 30 个省份的绿色能源效率。基于测度结果，运用空间 Durbin 模型实证研究了环境规制对绿色能源效率的影响及其空间溢出效应。结果表明，中国绿色能源效率水平较低，其增长主要来源于技术进步（TECH）而非技术效率（EFFCH）。东部地区绿色能源效率最高，其次是西部地区，而中部地区最低。空间 Durbin 模型的估计结果表明，环境规制和绿色能源效率均具有显著的空间相关性。环境规制能够提升本省的绿色能源效率，但抑制了相邻省份的绿色能源效率。最后，根据研究结果提出了相关政策建议。
