Spatial and temporal evolution characteristics and spillover effects of China's regional carbon emissions

温室气体 溢出效应 环境科学 自然资源经济学 碳纤维 化石燃料 能量强度 高效能源利用 经济 地理 生态学 复合数 生物 复合材料 考古 微观经济学 材料科学
作者
Kaile Zhou,Jingna Yang,Ting Yang,Tao Ding
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:325: 116423-116423 被引量:113
标识
DOI:10.1016/j.jenvman.2022.116423
摘要

China's carbon emissions account for approximately a quarter of the world's total greenhouse gas emissions. In 2020, China's fossil fuels accounted for approximately 85% of the primary energy demand, with coal alone accounting for 60%. Considering the severe global warming situation, it is necessary to reveal the spatial and temporal differences and analyze the spillover effects of carbon emissions between regions. In this study, a positive and significant spatial correlation between regional carbon emissions in China was found using an exploratory spatial data analysis. The spatial Durbin model was then utilized to explore the direct and spillover effects of factors that included economic growth, the energy intensity, and the level of technological innovation on regional carbon emissions. Whether a direct effect or a spillover effect, economic growth and improvements in the regional levels of technological innovation had significant inhibitory effects on carbon emissions both in the long term and in the short term. Specifically, an increase of 1% in the level of technological innovation led to a reduction of approximately 0.17% in the region's carbon emissions. However, a growth in the energy intensity will increase carbon emissions. In addition, an increase in the technological input intensity will lead to an increase in carbon emissions in local regions. However, an increase in neighboring regions will restrain carbon emissions in a local region. Based on these findings, it is recommended that the government accelerate regional innovation synergies and increase investment in clean energy technologies.
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