Ji Yanli, Xue Jie
School of Mathematics and Statistics, Changshu Institute of Technology, Changshu 215500, China.
School of Economics, Hangzhou Dianzi University, Hangzhou 310018, China.
Int J Environ Res Public Health. 2022 Mar 10;19(6):3275. doi: 10.3390/ijerph19063275.
Under the pressure of low-carbon development at county level in China, this paper takes Jiangsu province as an example to analyze the relationship between economic growth and carbon emissions, aiming to provide a reference for the low-carbon development in Jiangsu and other regions in China. Based on the county-level panel data from 2000 to 2017, this paper uses the Tapio elasticity model and environmental Kuznets curve model, and focuses on the differences in regional economic development and the impacts of the 2008 global economic crisis. The results show that, in general, the decoupling effect of carbon emissions in Jiangsu counties has gradually increased during the study period. Since 2011, all counties achieved the speed decoupling, with more than half of them showing strong decoupling. The environmental Kuznets curves of carbon emissions in different income groups are established, and changed before and after the 2008 global economic crisis. In 2017, only 10 of the 53 counties were on the right side of the curve, realizing the quantity decoupling between the two. Therefore, to achieve a win-win situation between carbon emission reduction and economic growth, efforts should be made from the aspects of industrial structure and energy efficiency, and measures should be taken according to local conditions.
在中国县域低碳发展的压力下，本文以江苏省为例分析经济增长与碳排放之间的关系，旨在为江苏及中国其他地区的低碳发展提供参考。基于2000年至2017年的县级面板数据，本文运用Tapio弹性模型和环境库兹涅茨曲线模型，并重点关注区域经济发展差异以及2008年全球经济危机的影响。结果表明，总体而言，研究期间江苏省各县碳排放的脱钩效应逐渐增强。自2011年以来，所有县都实现了速度脱钩，其中一半以上呈现强脱钩。建立了不同收入组的碳排放环境库兹涅茨曲线，并在2008年全球经济危机前后发生了变化。2017年，53个县中只有10个位于曲线右侧，实现了两者之间的数量脱钩。因此，要实现碳排放减少与经济增长的双赢，应从产业结构和能源效率方面着手，并因地制宜采取措施。
