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Leveraging opportunity of low carbon transition by super-emitter cities in China.
Zheng, Heran; Zhang, Zengkai; Dietzenbacher, Erik; Zhou, Ya; Többen, Johannes; Feng, Kuishuang; Moran, Daniel; Jiang, Meng; Shan, Yuli; Wang, Daoping; Liu, Xiaoyu; Li, Li; Zhao, Dandan; Meng, Jing; Ou, Jiamin; Guan, Dabo.
Afiliação
  • Zheng H; The Bartlett School of Sustainable Construction, University College London, London WC1H 0QB, UK.
  • Zhang Z; State Key Laboratory of Marine Environmental Science, College of Environment and Ecology, Xiamen University, Xiamen 361102, China.
  • Dietzenbacher E; Faculty of Economics and Business, University of Groningen, Groningen 9747 AG, Netherlands.
  • Zhou Y; Key Laboratory of City Cluster Environmental Safety and Green Development, Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China.
  • Többen J; Gesellschaft für Wirtschaftliche Strukturforschung mbH, Osnabrck 49080, Germany; Social Metabolism and Impacts, Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam 14412, Germany.
  • Feng K; Department of Geographical Sciences, University of Maryland, College Park MD 20742, USA.
  • Moran D; The Climate and Environmental Research Institute NILU, Lillestrøm 2007, Norway; Industrial Ecology Programme, Department of Energy and Process Technology, Norwegian University of Science and Technology, Trondheim 7010, Norway.
  • Jiang M; Industrial Ecology Programme, Department of Energy and Process Technology, Norwegian University of Science and Technology, Trondheim 7010, Norway.
  • Shan Y; School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK. Electronic address: y.shan@bham.ac.uk.
  • Wang D; Department of Geography, King's College London, London WC2R 2LS, UK; Department of Computer Science and Technology, University of Cambridge, Cambridge CB3 0FD, UK.
  • Liu X; Research and Promotion Center for Green and Low-carbon Development, Environmental Development Center of the Ministry of Ecology and Environment, Beijing 100029, China.
  • Li L; School of Economics and Management, China University of Geosciences, Beijing 100083, China.
  • Zhao D; Department of Built Environment, Aalto University, Espoo 02150, Finland.
  • Meng J; The Bartlett School of Sustainable Construction, University College London, London WC1H 0QB, UK. Electronic address: jing.j.meng@ucl.ac.uk.
  • Ou J; Department of Sociology, Utrecht University, Utrecht 3584 CS, Netherlands.
  • Guan D; The Bartlett School of Sustainable Construction, University College London, London WC1H 0QB, UK; Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing 100084, China.
Sci Bull (Beijing) ; 68(20): 2456-2466, 2023 Oct 30.
Article em En | MEDLINE | ID: mdl-37620230
ABSTRACT
Chinese cities are core in the national carbon mitigation and largely affect global decarbonisation initiatives, yet disparities between cities challenge country-wide progress. Low-carbon transition should preferably lead to a convergence of both equity and mitigation targets among cities. Inter-city supply chains that link the production and consumption of cities are a factor in shaping inequality and mitigation but less considered aggregately. Here, we modelled supply chains of 309 Chinese cities for 2012 to quantify carbon footprint inequality, as well as explored a leverage opportunity to achieve an inclusive low-carbon transition. We revealed significant carbon inequalities the 10 richest cities in China have per capita carbon footprints comparable to the US level, while half of the Chinese cities sit below the global average. Inter-city supply chains in China, which are associated with 80% of carbon emissions, imply substantial carbon leakage risks and also contribute to socioeconomic disparities. However, the significant carbon inequality implies a leveraging opportunity that substantial mitigation can be achieved by 32 super-emitting cities. If the super-emitting cities adopt their differentiated mitigation pathway based on affluence, industrial structure, and role of supply chains, up to 1.4 Gt carbon quota can be created, raising 30% of the projected carbon quota to carbon peak. The additional carbon quota allows the average living standard of the other 60% of Chinese people to reach an upper-middle-income level, highlighting collaborative mechanism at the city level has a great potential to lead to a convergence of both equity and mitigation targets.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Aspecto: Equity_inequality Idioma: En Revista: Sci Bull (Beijing) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Aspecto: Equity_inequality Idioma: En Revista: Sci Bull (Beijing) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido