[Carbon Emission Reduction Effect of Spatial Correlation Network Structure Characteristics: From the Perspective of Urban Agglomeration].

Hang Zheng, A-Zhong Ye
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Abstract

Based on social network and regression analyses, this study conducted research with regard to the spatial correlation and effect of carbon emissions in urban agglomerations of the Pearl River Delta (PRD) with the data of prefecture-level cities in Pearl River Delta urban agglomerations from 2001 to 2019. As the results suggested, ① the carbon emission links among cities in PRD urban agglomerations were relatively loose, the subordinate structure changed frequently, and the carbon emission exchanges and cooperation among cities need to be strengthened. ② The core-periphery structure of the spatial correlation network of carbon emissions was loose to a certain extent, the control ability of the central city to the overall network structure was weakened, and the marginal cities gradually changed from being controlled to adopting a controlling role. ③ The improvement in the overall network tightness and stability and the breaking of the network hierarchical structure significantly reduced regional carbon emissions, whereas the improvement in individual network centrality significantly promoted urban carbon emission reduction. The above analysis will help to provide reference for coordinating carbon dioxide emission reduction and low-carbon city development policies.

空间关联网络结构特征的碳减排效应:基于城市群的视角
基于社会网络分析和回归分析,以2001 - 2019年珠三角城市群地级城市为研究对象,对珠三角城市群碳排放的空间相关性及效应进行了研究。结果表明:①珠三角城市群城市间碳排放联系相对松散,隶属结构变动频繁,城市间碳排放交流与合作有待加强;②碳排放空间关联网络的核心-外围结构存在一定程度的松散,中心城市对整体网络结构的控制能力减弱,边缘城市逐渐由被控制向扮演控制角色转变。③整体网络紧密性和稳定性的提高以及网络层级结构的打破显著降低了区域碳排放,而单个网络中心性的提高显著促进了城市碳减排。以上分析有助于为协调二氧化碳减排和低碳城市发展政策提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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