School of Economics, Shenzhen University, Shenzhen, Guangdong, China.
Environ Sci Pollut Res Int. 2023 Sep;30(44):99930-99947. doi: 10.1007/s11356-023-29350-7. Epub 2023 Aug 24.
China is currently developing a green economy, and improving carbon productivity (CAP) is an important part of this process. The current study applied a minimum distance to strong efficient frontier (MinDS) model to measure China's CAP. The Dagum Gini coefficient and kernel density estimation methods were further used to reveal its spatial differences and dynamic evolution, while the coefficient of variation and spatial convergence models were employed to examine its convergence characteristics. The results showed significant spatial differences in China's CAP, with primarily high and low spatial distribution characteristics in the east and west, respectively. Between-regional differences were the main sources of the overall differences. Moreover, the differences between overall, eastern, central, and western regions of China all exhibited a widening trend. Although none showed σ convergence, all had significant absolute β spatial convergence and conditional β spatial convergence characteristics. Collectively, the findings of this study objectively reflect the real level, distribution characteristics, and spatial convergence characteristics of CAP in China as a whole and in each region, while also providing a reference basis for achieving peak carbon neutrality.
中国目前正在发展绿色经济，提高碳生产力（CAP）是这一过程的重要组成部分。本研究应用最小距离到强有效前沿（MinDS）模型来衡量中国的 CAP。进一步采用 Dagum 基尼系数和核密度估计方法揭示其空间差异和动态演变，同时采用变异系数和空间收敛模型来检验其收敛特征。结果表明，中国的 CAP 存在显著的空间差异，东部和西部的 CAP 分布特征主要是高和低。区域间差异是总体差异的主要来源。此外，中国的整体、东部、中部和西部地区之间的差异都呈现出扩大的趋势。尽管没有表现出 σ 收敛，但都具有显著的绝对 β 空间收敛和条件 β 空间收敛特征。总体而言，本研究的结果客观反映了中国整体及各地区 CAP 的实际水平、分布特征和空间收敛特征，为实现碳达峰提供了参考依据。
