本文采用中国2008~2022年除西藏、港澳台地区外30个省、市、自治区的面板数据,以资本、劳动、能耗为投入指标,考虑期望产出与非期望产出,将群组技术异质性纳入考察范围,根据共同前沿DDF模型,分析共同前沿和群组前沿下的全要素能源效率...本文采用中国2008~2022年除西藏、港澳台地区外30个省、市、自治区的面板数据,以资本、劳动、能耗为投入指标,考虑期望产出与非期望产出,将群组技术异质性纳入考察范围,根据共同前沿DDF模型,分析共同前沿和群组前沿下的全要素能源效率。并结合GML指数对能源效率进行分解与进一步分析,研究表明:1) 2008~2022年间中国能源总消耗量呈稳步递增的态势;2) 中国整体全要素能源效率处于较低水平,呈现小幅下降随后稳步上升的趋势;3) 全要素能源效率存在区域异质性,呈现“东–西–中”递减的分布特征,区域异质性对能源效率有显著影响。基于此,我们认为应推动技术创新与转移,强化区域协调发展,促进产业结构转型;根据能源无效项制定差异化的措施来提升整体效率;激励能源节约,持续推进能源结构优化。This paper utilizes panel data from 30 provinces, municipalities, and autonomous regions in China (excluding Xizang, Hong Kong SAR, Macao, and Taiwan Region) from 2008 to 2022. With capital, labor, and energy consumption as input indicators, and considering both desirable and undesirable outputs, the study incorporates group technology heterogeneity into the analysis. Using the common frontier DDF model, it examines total factor energy efficiency under both the common frontier and group frontiers. Additionally, the GML index is employed to decompose and further analyze energy efficiency. The research findings indicate: 1) China’s total energy consumption showed a steady increasing trend from 2008 to 2022;2) The overall total factor energy efficiency in China remains at a relatively low level, displaying a slight decline followed by a steady rise;3) There is regional heterogeneity in total factor energy efficiency, exhibiting a decreasing distribution pattern of “East-West-Central”, with regional heterogeneity significantly impacting energy efficiency. Based on these findings, the study suggests promoting technological innovation and transfer, strengthening regional coordinated development, and facilitating industrial structure transformation. It also recommends formulating differentiated measures based on energy inefficiency to enhance overall efficiency, as well as incentivizing energy conservation and continuously advancing energy structure optimization.展开更多
文摘本文采用中国2008~2022年除西藏、港澳台地区外30个省、市、自治区的面板数据,以资本、劳动、能耗为投入指标,考虑期望产出与非期望产出,将群组技术异质性纳入考察范围,根据共同前沿DDF模型,分析共同前沿和群组前沿下的全要素能源效率。并结合GML指数对能源效率进行分解与进一步分析,研究表明:1) 2008~2022年间中国能源总消耗量呈稳步递增的态势;2) 中国整体全要素能源效率处于较低水平,呈现小幅下降随后稳步上升的趋势;3) 全要素能源效率存在区域异质性,呈现“东–西–中”递减的分布特征,区域异质性对能源效率有显著影响。基于此,我们认为应推动技术创新与转移,强化区域协调发展,促进产业结构转型;根据能源无效项制定差异化的措施来提升整体效率;激励能源节约,持续推进能源结构优化。This paper utilizes panel data from 30 provinces, municipalities, and autonomous regions in China (excluding Xizang, Hong Kong SAR, Macao, and Taiwan Region) from 2008 to 2022. With capital, labor, and energy consumption as input indicators, and considering both desirable and undesirable outputs, the study incorporates group technology heterogeneity into the analysis. Using the common frontier DDF model, it examines total factor energy efficiency under both the common frontier and group frontiers. Additionally, the GML index is employed to decompose and further analyze energy efficiency. The research findings indicate: 1) China’s total energy consumption showed a steady increasing trend from 2008 to 2022;2) The overall total factor energy efficiency in China remains at a relatively low level, displaying a slight decline followed by a steady rise;3) There is regional heterogeneity in total factor energy efficiency, exhibiting a decreasing distribution pattern of “East-West-Central”, with regional heterogeneity significantly impacting energy efficiency. Based on these findings, the study suggests promoting technological innovation and transfer, strengthening regional coordinated development, and facilitating industrial structure transformation. It also recommends formulating differentiated measures based on energy inefficiency to enhance overall efficiency, as well as incentivizing energy conservation and continuously advancing energy structure optimization.
