摘要
TSBM super efficiency model and ML model are adopted to measure the environmental efficiency and its growth rate of China's power industry in 30 provinces from 2009 to 2018 from a static and dynamic perspective, the static efficiency and dynamic efficiency are splitted, and the impact of technological progress on them is analyzed; Using Tobit regression model, the impact of technological progress and other factors on the environmental efficiency and growth rate of power industry in China and six power grid regions is tested. The results show that the annual average environmental efficiency of China's power industry during the study period is 0.769, which still has a large room for improvement; The improvement of pure technical efficiency in Central China Power Grid and Northeast China Power Grid has a low contribution to the improvement of environmental efficiency; The regional pure technical efficiency of China Southern Power Grid has significantly promoted the improvement of environmental efficiency; The environmental efficiency of China's power industry has increased at an average annual rate of 5.6%, of which the average annual growth rate of technological progress is 3.7%. Technological progress has made a great contribution to the improvement of environmental efficiency of China's power industry. Since the 12th Five Year Plan, the technological progress of China's power industry has accelerated; Technological progress is a key factor affecting the environmental efficiency and growth rate of power industry, which has a significant positive impact on it. It is suggested to continue to increase scientific and technological investment and strengthen scientific and technological innovation, so as to continue to promote the improvement of environmental efficiency of China's power industry; All regions should be proactive and take effective measures according to local conditions, accelerate the development of clean electric energy such as nuclear power and optimize the power supply structure.
| 投稿的翻译标题 | Empirical Study on the Impact of Technological Progress on the Environmental Efficiency of China's Power Industry: Based on SBM Super Efficiency-ML-Tobit |
|---|---|
| 源语言 | 繁体中文 |
| 页(从-至) | 215-227 |
| 页数 | 13 |
| 期刊 | Chinese Journal of Management Science |
| 卷 | 31 |
| 期 | 12 |
| DOI | |
| 出版状态 | 已出版 - 15 12月 2023 |
| 已对外发布 | 是 |
关键词
- environmental efficiency
- ML model
- power industry
- SBM super efficiency model
- technological progress
- Tobit regression model
学术指纹
探究 '技术进步对中国电力行业环境效率提升影响的实证研究' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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