能源消耗
绿色发展
中国
投资(军事)
自然资源经济学
北京
能源开发
温室气体
经济短缺
化石燃料
能量强度
绿色经济
高效能源利用
经济
可再生能源
业务
可持续发展
地理
生态学
考古
政治
政治学
法学
生物
语言学
哲学
政府(语言学)
标识
DOI:10.1016/j.eneco.2023.106967
摘要
Developing green energy has become a critical way to deal with energy shortage and global warming. The objective is to investigate the driving factors of green energy development in China, and further evaluate the role of green energy in carbon reduction. This article uses the data-driven nonparametric model to investigate green energy development, and obtains several interesting results. (1) Technological progress has the greatest impact on the green energy development in Ningxia, Jilin, and Jiangxi provinces, due to faster R&D investment. (2) The changes in oil prices have a larger driving effect on green energy development in Heilongjiang, Liaoning, Shanxi, and Beijing. (3) Fixed asset investment contributes the most to the energy-rich provinces such as Shaanxi, Xinjiang, Inner Mongolia, and Gansu, because of faster investment in energy infrastructure. (4) The provinces with low green energy production face greater environmental pressure, owing to excessive reliance on fossil fuels. (5) Finally, the results display that the carbon reduction effect of green energy development is not prominent, on account of less green energy consumption. These empirical findings provide policy implications for China's effective promotion of green energy.
科研通智能强力驱动
Strongly Powered by AbleSci AI