文献类型：期刊文献

中文题名：Spatiotemporal Impacts of Urban Structure and Socioeconomic Factors on Carbon Dioxide Emissions:A Case Study of the Yangtze River Delta Urban Agglomeration

作者：Zhechen Zhou[1];Su Xu[1];Jun Wang[1];Haitao Shen[1]

机构：[1]East China University of Science and Technology,Shanghai 200237,China

年份：2025

期号：1

起止页码：28

中文期刊名：Ecosystem Health and Sustainability

外文期刊名：生态系统健康与可持续性(英文)

基金：sponsored by the Shanghai Office of Philosophy and Social Sciences Grant(2023BCK009)

语种：英文

中文关键词：socioeconomic factors;sample selection model;yangtze river delta urban agglomeration;Yangtze River Delta;carbon dioxide emissions;urban structure;urbanization rate;spatiotemporal impacts;

摘要：The economic growth and fast urbanization in China have led to a rise in carbon dioxide(CO_(2))emissions.Prior research has predominantly concentrated on examining the correlation between social economy,urban structure,and CO_(2) emissions.However,there has been little comprehensive research that considers the incidental truncation of missing CO_(2) emission data in underdeveloped cities.Here,we take the Yangtze River Delta urban agglomeration as an example and use the sample selection model to study the spatiotemporal impacts of urban structure and socioeconomic factors on CO_(2) emissions,based on the unbalanced panel data for the years 2005,2010,2015,and 2018.The results show the following:(a)The spatial differentiation of urban structures between cities was obvious,and 4 landscape indices showed significant spatial autocorrelation.(b)CO_(2) emissions per capita and CO_(2) emissions per unit of gross domestic product were limited dependent variables and affected by regional development degree,which had incidental truncation.(c)The urbanization rate,complex boundaries,concentration,and expansion of construction land will promote the growth of CO_(2) emissions,while as the proportion of secondary production and urban fragmentation increases by 1%,CO_(2) emissions will decline by approximately 0.09%and 1.72%,respectively.(d)Single-centered,highly fragmented models can lead to a surge in CO_(2) emissions per capita,while continuous urban structures with complex boundaries can reduce CO_(2) emissions per capita and CO_(2) emissions per unit of gross domestic product.The research findings emphasize the need to consider urban fragmentation,aggregation,and providing sufficient infrastructures for emission reduction,which establish a foundation for the environmentally friendly design of metropolitan areas.