中国八大综合经济区能源生态效率测度及其驱动因素

为促进能源、经济、社会与生态环境的绿色可持续发展,将经济、社会福利等期望产出与生态环境污染非期望产出纳入能源生态效率测度框架,运用基于Shephard能源距离函数的随机前沿模型,从区域研究视角出发分析中国八大综合经济区能源生态效率演变趋势,并探讨其驱动因素的作用机制.结果 显示:样本期内全国能源生态效率均值为0.583...

Energy eco-efficiency measurement and driving factors of China's eight comprehensive economic zones

To promote green and sustainable development of energy, economy, society and ecological environment, the expected outputs of economy and social welfare and the undesired output of ecological environment pollution were included in the energy eco-efficiency measurement framework, and the stochastic frontier model based on Shephard energy distance function was used to study the energy eco-efficiency of China's eight comprehensive economic zones. This realized the analysis of the evolution trend of China's energy eco-efficiency from the perspective of regional research, and explored the mechanism of its driving factors. The results showed that the national average energy eco-efficiency was 0.5839 during the sample period. The overall level was low, and it showed significant spatial imbalanced distribution characteristics. The energy eco-efficiency level of the eight comprehensive economic zones was gradually decreasing from the coast to the inland. The average value of energy eco-efficiency in the southern, eastern, and northern coastal economic zones were 0.6941, 0.6213 and 0.6087 respectively, which ranked the top. Southwest, the middle reaches of the Yellow River, the middle reaches of the Yangtze River and the northeast economic zones followed. The average value of energy eco-efficiency were 0.5803, 0.5720, 0.5623 and 0.5537 respectively. The average value of energy eco-efficiency in the northwest economic zone was 0.5087, which ranked the last. The estimated coefficients of economic development level and energy consumption structure were 0.0459 and 0.0747 respectively, which inhibited the improvement of energy eco-efficiency. The estimated coefficients of industrial structure, urbanization level and environmental regulation were -0.9339, -0.6197 and -0.0387 respectively, which promoted the improvement of energy eco-efficiency.