College of Business Administration, Nanchang Institute of Technology, Nanchang, 330032, Jiangxi, China.
School of Mathematics and Information Science, Northern Minzu University, Yinchuan, 750021, Ningxia, China.
Environ Sci Pollut Res Int. 2024 May;31(24):35595-35608. doi: 10.1007/s11356-024-33565-7. Epub 2024 May 12.
The "dual-carbon" objective presents a huge challenge for China and the world, with profound implications for the advancement of China's eco-friendly economy. Additionally, informatization development has a significant impact on the level of carbon emissions in both local and neighbouring regions. Therefore, we employ panel data from 30 provinces in China spanning the years 2012 to 2021, and use the Kernel density estimate and Moran's index to explore informatization level and carbon emissions space agglomeration characteristics. We elucidate the nonlinear relationship and heterogeneity between informatization improvement and carbon emissions based on the spatial Durbin model. The primary findings are as follows. Firstly, we discover a distinct spatial clustering phenomenon which the informatization level is high in coastal areas and low in inland areas, whereas carbon emissions are low in the south and high in the north. Secondly, the effect of the informatization level on carbon emissions is shown as a U-shaped and non-linear correlation, signifying inhibitory and subsequently promoting phases. Thirdly, we reveal the negative influence on carbon emissions caused by spatial lag terms of the informatization level, and find that a higher local informatization level will have an inhibitory effect on carbon emissions in neighbouring areas. Finally, there is a spatial heterogeneity in the impact of the informatization level on carbon emissions, which presents the U-shaped relation between informatization level and carbon emissions varies across the North-South subregion and the three major economic subregion of China.
“双碳”目标对中国乃至世界而言都是巨大的挑战，对中国生态友好型经济的发展具有深远意义。此外，信息化发展对本地和周边地区的碳排放水平都有重大影响。因此，我们采用了中国 30 个省份 2012 年至 2021 年的面板数据，利用核密度估计和 Moran 指数来探讨信息化水平和碳排放空间集聚特征。我们利用空间 Durbin 模型阐明了信息化改善与碳排放之间的非线性关系和异质性。主要发现如下。首先，我们发现信息化水平存在明显的空间集聚现象，沿海地区信息化水平较高，内陆地区较低，而碳排放则呈现南低北高的特点。其次，信息化水平对碳排放的影响呈现出 U 型非线性关系，表明存在抑制和促进两个阶段。第三，我们揭示了信息化水平的空间滞后项对碳排放的负面影响，发现较高的本地信息化水平会对相邻地区的碳排放产生抑制作用。最后，信息化水平对碳排放的影响存在空间异质性，即信息化水平与碳排放之间的 U 型关系在南北分区和中国三大经济分区之间存在差异。
