Investigating the driving forces of China’s carbon intensity based on a dynamic spatial model.

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. [ABSTRACT FROM AUTHOR]