School of Economics, Southwestern University of Finance and Economics, Liucheng Road 555, Chengdu, 611130, China.
Environ Sci Pollut Res Int. 2018 Aug;25(22):21833-21843. doi: 10.1007/s11356-018-2307-5. Epub 2018 May 23.
In extant literature on China's carbon intensity, economic growth is considered an important determinant. However, the corresponding policy implications are slightly weak in subsequent practice because economic growth is an outcome of many economic activities, such as technological progress and capital stock accumulation. Furthermore, spatial spillover effects are ignored when using regional datasets. As a result, this study uses the dynamic spatial model to analyze the driving forces of China's provincial carbon intensity over the period 2000-2014. Results indicate that both technological progress and capital stock accumulation are important measures to carbon intensity reduction. China's current industrialization, urbanization, and special energy structure exert a negative effect on the decline in carbon intensity. In addition, China's provincial carbon intensity also exhibits considerable spatiotemporal distribution characteristics. As such, the corresponding policy measures are presented.
在现有的关于中国碳强度的文献中，经济增长被认为是一个重要的决定因素。然而，在随后的实践中，相应的政策意义略显薄弱，因为经济增长是许多经济活动的结果，如技术进步和资本存量积累。此外，在使用区域数据集时，空间溢出效应被忽略了。因此，本研究采用动态空间模型分析了 2000-2014 年期间中国省级碳强度的驱动因素。结果表明，技术进步和资本存量积累都是降低碳强度的重要措施。中国当前的工业化、城市化和特殊的能源结构对碳强度的下降产生了负面影响。此外，中国省级碳强度也表现出相当大的时空分布特征。因此，提出了相应的政策措施。
