Zhao Xiaochun, Long Laichun, Yin Shi
School of Management, Anhui University, Hefei, 230601, China.
College of Economics and Management, Hebei Agricultural University, Baoding, 071001, China.
Sci Rep. 2023 Oct 9;13(1):17035. doi: 10.1038/s41598-023-44408-9.
The characteristics of common prosperity include harmonious relationships between humans and the environment, as well as sustainable economic and social growth. The process of achieving common prosperity will necessarily have an impact on carbon emissions. In this article, panel statistics collected from 30 Chinese provinces and cities between the years 2006 and 2020 are utilized to assess the level of common prosperity and the intensity of carbon emissions in China. Then the SDM model is applied to explore the effects of the common prosperity level on the intensity of carbon emissions. The findings reveal that: (i) The common prosperity level in China has shown an increasing tendency. Between 2006 and 2020, the mean level of common prosperity increased from 0.254 to 0.486. From the regional perspective, eastern China has seen greater levels of common prosperity than central China, while central China has experienced greater levels of common prosperity than western China; regional disparities in the degree of common prosperity are substantial among Chinese provinces from 2006 to 2020; the common prosperity level is relatively high in economically developed provinces and relatively low in economically backward provinces. (ii) China's carbon emission intensity shows a continuous downward tendency. The annual average intensity of China's carbon emissions decreased from 4.458 in 2006 to 2.234 in 2020. From the regional perspective, the three main regions' carbon emission intensity likewise exhibits a decline in tendency between 2006 and 2020; still, western China continues to have the greatest carbon emission intensity, following central China, while eastern China has the smallest; however, certain provinces, notably Inner Mongolia and Shanxi, continue to have high carbon emission intensity. (iii) China's common prosperity level and carbon emission intensity both exhibit positive spatial autocorrelation at a 1% significant level under the adjacency matrix. The spatial agglomeration effect is significant, and adjacent provinces can affect each other. (iv) The SDM (Spatial Durbin Model) model test with fixed effects finds that the increase in the level of common prosperity suppresses the intensity of carbon emissions in the local area and neighboring regions. (v) The mediating effects model indicates that the process of common prosperity suppresses carbon emission intensity through high-quality economic development, narrowing the income disparity, and the development of a sharing economy.
共同富裕的特征包括人与自然环境的和谐关系以及经济社会的可持续增长。实现共同富裕的过程必然会对碳排放产生影响。本文利用2006年至2020年期间从中国30个省市收集的面板统计数据，评估中国共同富裕水平和碳排放强度。然后应用空间杜宾模型（SDM模型）来探究共同富裕水平对碳排放强度的影响。研究结果表明：（i）中国的共同富裕水平呈上升趋势。2006年至2020年期间，共同富裕的平均水平从0.254提高到0.486。从区域角度来看，中国东部地区的共同富裕水平高于中部地区，而中部地区又高于西部地区；2006年至2020年期间，中国各省之间共同富裕程度的区域差距很大；经济发达省份的共同富裕水平相对较高，经济落后省份的共同富裕水平相对较低。（ii）中国的碳排放强度呈持续下降趋势。中国碳排放的年均强度从2006年的4.458降至2020年的2.234。从区域角度来看，2006年至2020年期间，三大主要地区的碳排放强度同样呈现下降趋势；不过，西部地区的碳排放强度仍然最大，其次是中部地区，而东部地区最小；然而，某些省份，特别是内蒙古和山西，碳排放强度仍然较高。（iii）在中国，共同富裕水平和碳排放强度在邻接矩阵下均在1%的显著水平上呈现正空间自相关。空间集聚效应显著，相邻省份之间能够相互影响。（iv）固定效应的空间杜宾模型（SDM）检验发现，共同富裕水平的提高抑制了本地和邻近地区的碳排放强度。（v）中介效应模型表明，共同富裕过程通过高质量经济发展、缩小收入差距和共享经济发展来抑制碳排放强度。
