Guo Xiaopeng, Fu Yihan, Ren Dongfang, Zhang Xinyue
School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing, 102206, China.
Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing, 102206, China.
Environ Sci Pollut Res Int. 2023 Jan;30(2):5161-5177. doi: 10.1007/s11356-022-22534-7. Epub 2022 Aug 17.
Reducing exhaust emissions, promoting economic development, and realizing clean energy utilization have always been concerns in China. To measure the relationship between them, this study selects the data related to energy consumption, economic growth, and exhaust emissions from 2000 to 2019 in 30 Chinese provinces. By constructing a panel vector autoregressive (PVAR) model, the dynamic relationship between them in China is quantitatively analyzed. The results show that there is a long-term interaction between energy consumption, economic growth, and exhaust emissions. Among them, economic growth is highly dependent on energy consumption, but it can promote the reduction of exhaust emissions. However, energy consumption will produce a large amount of industrial waste, such as sulfur dioxide and carbon dioxide emissions. Specifically, the industrial structure and energy structure have the most obvious impact on reducing industrial sulfur dioxide emissions and carbon emissions, with the proportion between 0.071-0.090 and 0.031-0.032, respectively. Therefore, the adjustment of industrial structure and energy structure is the key to exhaust emission reduction.
减少废气排放、促进经济发展以及实现清洁能源利用一直是中国关注的问题。为了衡量它们之间的关系，本研究选取了中国30个省份2000年至2019年与能源消耗、经济增长和废气排放相关的数据。通过构建面板向量自回归（PVAR）模型，对中国它们之间的动态关系进行了定量分析。结果表明，能源消耗、经济增长和废气排放之间存在长期相互作用。其中，经济增长高度依赖能源消耗，但它可以促进废气排放的减少。然而，能源消耗会产生大量工业废弃物，如二氧化硫和二氧化碳排放。具体而言，产业结构和能源结构对减少工业二氧化硫排放和碳排放的影响最为明显，比例分别在0.071 - 0.090和0.031 - 0.032之间。因此，调整产业结构和能源结构是废气减排的关键。
