School of Public Administration, Zhejiang University of Technology, Hangzhou, Zhejiang, 310023, People's Republic of China.
Center for Green Low-Carbon Development Research, Zhejiang University of Technology, Hangzhou, Zhejiang, 310023, People's Republic of China.
Environ Sci Pollut Res Int. 2023 May;30(21):61134-61144. doi: 10.1007/s11356-023-26817-5. Epub 2023 Apr 13.
Industry is a core area to achieve the carbon neutrality target for most developing countries including China. Hence, it is of great practical significance to study the spatio-temporal characteristics of China's industrial carbon intensity and its evolution. The exploratory spatial data analysis methods were adopted to conduct global and local spatial correlation analysis in this paper. The result shows that (1) the industrial carbon emission intensity decreases year by year, with high industrial carbon emission intensity in the West and low in the East. (2) There is a correlation in the spatial distribution of industrial carbon intensity, with the Moran index experiencing the stage of descending first and then ascending. (3) The local spatial clustering of industrial carbon intensity is obvious. (4) Half of the provinces have experienced a leap, with the majority located in the western part of China. Based on these findings, it is concluded that industrial emission reduction policy synergy between provinces is particularly important, such as low-carbon industrial production policy and green industry development policy.
产业是包括中国在内的大多数发展中国家实现碳中和目标的核心领域。因此，研究中国工业碳强度的时空特征及其演变具有重要的现实意义。本文采用探索性空间数据分析方法，进行了全局和局部空间相关性分析。结果表明：（1）工业碳排放强度逐年下降，西部工业碳排放强度高，东部工业碳排放强度低。（2）工业碳强度的空间分布存在相关性，莫兰指数经历了先降后升的阶段。（3）工业碳强度的局部空间集聚明显。（4）有一半的省份经历了跳跃，其中大部分位于中国西部。基于这些发现，得出结论，即省际间工业减排政策协同尤为重要，如低碳工业生产政策和绿色产业发展政策。
