Toward integrated governance of urban CO2 emissions in China: Connecting the “codes” of global drivers, local causes, and indirect influences from a multi-perspective analysis

《Toward integrated governance of urban CO2 emissions in China: Connecting the “codes” of global drivers, local causes, and indirect influences from a multi-perspective analysis》

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作者: Xing Meng;Xia Li;Guohua Hu;Ziwei Zhang;Han Zhang;Cheng Huang;Ji Han

来源: CITIES,Vol.135,Issue1,Article 104181

语言: 英文

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作者单位: Key Lab of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, China;Chongqing Institute of East China Normal University, 2 Huizhu Road, Chongqing 401123, China;School of Forestry, Jiangxi Agricultural University, Nanchang 330045, China;College of Asia Pacific Studies, Ritsumeikan Asia Pacific University, 1-1 Jumonjibaru, Beppu, Oita 874-8577, Japan;Key Lab of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, China;Chongqing Institute of East China Normal University, 2 Huizhu Road, Chongqing 401123, China;School of Forestry, Jiangxi Agricultural University, Nanchang 330045, China;College of Asia Pacific Studies, Ritsumeikan Asia Pacific University, 1-1 Jumonjibaru, Beppu, Oita 874-8577, Japan;Institute of Geography, Center for Earth System Research and Sustainability (CEN), University of Hamburg, 20146 Hamburg, Germany;School of Integrated Climate System Sciences, University of Hamburg, 20146 Hamburg, Germany;Department of Earth Sciences, University of Sargodha, Sargodha, Pakistan;School of Design, Shanghai Jiao Tong University, Shanghai 200240, China;School of Geographic Sciences, East China Normal University, Shanghai 200241, China;School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China;Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China;School of Informatics, Xiamen University, Xiamen 361005, China;IHS Erasmus University Rotterdam, P.O. Box 1935, 3000 BX Rotterdam, the Netherlands;The International Centre for Frugal Innovation, Kenya Hub, Kenya;The International Centre for Frugal Innovation, Institute of Social Studies, Erasmus University Rotterdam, the Netherlands;Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, China;Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, China;Department of Architecture and Civil Engineering, City University of Hong Kong, China;Faculty of Architecture, The University of Hong Kong, China;College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia;General Administration of Education in Alhasa, P.O. Box 837, Alhasa 31982, Saudi Arabia

摘要: Effective governance of factors that contribute to urban CO2 emissions is critical for decarbonizing our increasingly urbanized Earth. Existing studies have provided insightful understandings in many aspects, though in a piecemeal manner. Here we demonstrate a multi-method approach that can quantitatively identify and effectively connect the previously fragmented “codes” for cross-scale and cross-sectoral governance of urban CO2 emissions. We combined multivariate regression following the STIRPAT conceptual model, Geographically Weighted Regression (GWR), and GeoDector to determine the global drivers, local causes, and indirect influences of urban CO2 emissions in 187 Chinese cities. We found that urban expansion is a global driver contributing to Chinese urban CO2 emissions. In contrast, urban shape complexity and urban compactness are local causes of urban CO2 emissions. The effect of urban form factors is more remarkable for cities in Southwest China than other cities. Urban expansion is coupled with economic growth, resulting in the strongest synergistic effect on CO2 emissions in China. Our findings highlight that missing any one aspect of global drivers, local causes, and indirect influences in future studies of urban CO2 emissions—as commonly seen in the existing literature—would lead to potential risks of governance overlaps, gaps, and even conflicts.