Spatial correlations of land-use carbon emissions in the Yangtze River Delta region: A perspective from social network analysis. (September 2022)

• Record Type: Journal Article
• Authors: Yu, Ziqi; Chen, Longqian; Tong, Haixia; Chen, Longgao; Zhang, Ting; Li, Long; Yuan, Lina; Xiao, Jue; Wu, Ran; Bai, Luofei; Shi, Shuai
• Is Part Of: Ecological indicators. Volume 142(2022)
• Publication Date: 2022-09
• Subjects: Land-use carbon emissions -- Social network analysis -- Spatial spillover effects -- Yangtze River Delta Region; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2022.109147
• Languages: English
• ISSNs: 1470-160X

Abstract

Highlights: Ⅰ Reveal the spatiotemporal changes in land-use carbon emissions and carbon intensities of 41 cities in the Yangtze River Delta region from 1995 to 2018. Ⅱ Construction of land-use carbon emissions spatial correlation network in the Yangtze River Delta region in six different periods. III Analyze the overall characteristics of the spatial correlation network and clarify the roles of cities in the network. Ⅳ Characterize the spatial spillover effects of land-use carbon emissions and highlight key cities. Abstract: The use and transformation of land by humans are the main cause of the increase in the concentration of carbon dioxide in the atmosphere. Using land-use data and socioeconomic statistics for 1995, 2000, 2005, 2010, 2015, and 2018, this study examines the carbon emissions from land use and their intensity in the entire Yangtze River Delta Region. We constructed a spatial correlation network of land-use carbon emissions by using a modified gravity model to analyze the characteristics of the spatial correlations and spillover effects of land-use carbon emissions. Results reveal that: (1) the spatial differences in land-use carbon emissions gradually increased, whereas those in land-use carbon emission intensity gradually narrowed from 1995 to 2018; (2) the high-degree centrality of Shanghai, Wuxi, and Suzhou indicated that they had always played leading roles in the network from 1995 to 2018. Moreover, Shanghai and Wuxi had large land-use carbon radiation ranges and together with Suzhou, Hangzhou, Changzhou, and Nanjing, exhibited above-average betweenness centrality from 1995 to 2018 and strong bridging capabilities across the entire network; (3) the land-use carbon emissions had obvious spatial correlations and spillover effects. Our results can provide a scientific basis from an urban agglomeration perspective for the transformation of China's current economy into a low-carbon one, as well as the realization of regionally differentiated and coordinated emission reduction.