Tianjin University, Tianjin, China.
Business School, University of Jinan, Jinan, China.
Environ Sci Pollut Res Int. 2023 Jul;30(33):80884-80900. doi: 10.1007/s11356-023-27869-3. Epub 2023 Jun 13.
Against the background of increasing urbanization rate and intensifying global warming, conflicts between humans and the natural environment continue to arise, and regionalized forms of spatial organization have become an important research direction. This paper constructs a green innovation city network. It empirically tests the evolution process of the green innovation city network and its carbon emission effect by combining the social network approach and the spatial Durbin model. The conclusions are as follows: (1) the strong ties among green innovation city networks are mainly distributed in and around the provincial capital cities and the middle and lower reaches of the Yellow River Basin; the density of green innovation city networks has been strengthened, and the degree centrality and closeness centrality have been improved. (2) The carbon emissions of cities in the Yellow River Basin are generally increasing. Still, the rate of increase is slowing down. The carbon emissions from liquefied petroleum gas show a decreasing trend yearly, and the energy structure tends to improve. (3) The impact of the green innovation city network on carbon emissions mainly comes from its externality's direct and indirect effects; the increase of degree centrality will reduce the total carbon emissions in the region and the network-associated regions.
在城市化率不断提高和全球变暖加剧的背景下，人类与自然环境之间的冲突不断出现，区域化的空间组织形式已成为一个重要的研究方向。本文构建了一个绿色创新城市网络。通过结合社会网络方法和空间杜宾模型，实证检验了绿色创新城市网络的演化过程及其对碳排放的影响。结论如下：（1）绿色创新城市网络中的强联系主要分布在省会城市及其周边地区和黄河流域中下游地区；绿色创新城市网络的密度增强，中心度和接近度提高。（2）黄河流域城市的碳排放量普遍呈上升趋势，但增速放缓。液化石油气的碳排放量逐年呈下降趋势，能源结构趋于改善。（3）绿色创新城市网络对碳排放的影响主要来自其外部性的直接和间接效应；中心度的增加将减少区域内和网络关联区域的总碳排放量。
