Mapping carbon and water networks in the North China urban agglomeration

Zheng, Heran, Zhang, Zongyong, Zhang, Zengkai, Li, Xian, Shan, Yuli, Song, Malin, Mi, Zhifu, Meng, Jing, Ou, Jiamin and Guan, Dabo (2019) Mapping carbon and water networks in the North China urban agglomeration. Planet Earth, 1 (1). pp. 126-137. ISSN 2590-3322

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Abstract

Our future is urban. With more than two-thirds of the global population expected to live in cities by 2050, urban sustainability is an essential part of sustainable development but remains poorly understood for urban agglomerations, which continue to develop and grow. Here, we construct a multiregional input-output table at the city level and investigate the impacts of water and carbon flows on the intercity supply chain of the Beijing-Tianjin-Hebei agglomeration in 2012. Our analysis reveals an economic-environmental imbalance whereby Beijing and Tianjin prosper at the expense of Hebei cities. Hebei cities work as producers for Beijing and Tianjin, such that services and goods exported from the Hebei region account for more than 60% of the region's carbon emissions and water use. Economic benefits are also exported. In the case of five key Hebei cities, only 38% of the region's gross domestic product is retained within the cities. This disparity has important implications for equality, prosperity, and sustainability and demonstrates the importance of considering supply chains from the city networks perspective.

Item Type: Article
Uncontrolled Keywords: sdg 10 - reduced inequalities ,/dk/atira/pure/sustainabledevelopmentgoals/reduced_inequalities
Faculty \ School: Faculty of Social Sciences > School of Global Development (formerly School of International Development)
Faculty of Science > School of Environmental Sciences
UEA Research Groups: Faculty of Social Sciences > Research Centres > Water Security Research Centre
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 27 Nov 2019 01:57
Last Modified: 01 Nov 2023 02:06
URI: https://ueaeprints.uea.ac.uk/id/eprint/73062
DOI: 10.1016/j.oneear.2019.08.015

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