China University of Petroleum (Beijing), Beijing, 102249, China.
Environ Sci Pollut Res Int. 2023 Feb;30(8):20673-20687. doi: 10.1007/s11356-022-23557-w. Epub 2022 Oct 18.
Renewable energy consumption has a strong impetus in promoting energy conservation and emission reduction, which is a new path leading to clean and low-carbon development. Based on that, this paper uses the data of carbon productivity, renewable energy power consumption level, technological progress, national economic development level, population, energy efficiency, industrial structure rationality, and other data in 30 provinces in China from 2011 to 2020, based on the STIRPAT model, conducts an empirical analysis on the impact of renewable energy power consumption on carbon productivity in Chinese provinces while considering both the spatial horizontal dimension and the temporal vertical dimension. The empirical results show that (1) Chinese carbon productivity presents an obvious spatial spillover effect and presents the spatial positive correlation distribution characteristics of "high-high" type agglomeration and "low-low" type agglomeration. (2) The utilization of renewable energy plays a positive role in promoting the development of low-carbon economy. The perspective of the horizontal spatial dimension shows a positive spatial spillover effect. The perspective of the longitudinal time dimension shows a marginal increase in the overall improvement of the environment. (3) Among the seven regions in China, the consumption of renewable energy in North China, East China, and Central China brings a dominant effect on carbon productivity. (4) About 29% of the positive effect of renewable energy consumption on carbon productivity is indirectly realized by technological progress. Finally, the article puts forward targeted policy suggestions.
可再生能源消费在推动节能减排方面具有强大的推动力，是通向清洁低碳发展的新路径。基于此，本文利用中国 2011-2020 年 30 个省份的碳生产率、可再生能源电力消费水平、技术进步、国民经济发展水平、人口、能源效率、产业结构合理性等数据，基于 STIRPAT 模型，从空间横向维度和时间纵向维度同时考虑，实证分析了可再生能源电力消费对中国各省份碳生产率的影响。实证结果表明：（1）中国碳生产率呈现明显的空间溢出效应，呈现“高高”集聚和“低低”集聚的空间正相关分布特征。（2）可再生能源的利用对低碳经济的发展起到了积极的推动作用。从横向空间维度看，呈现出正向的空间溢出效应。从纵向时间维度看，整体环境改善的边际递增。（3）在中国的七个地区中，华北、华东和华中地区的可再生能源消费对碳生产率具有主导作用。（4）可再生能源消费对碳生产率的积极影响约有 29%是通过技术进步间接实现的。最后，文章提出了有针对性的政策建议。
