Embodied water demands, transfers and imbalance of China's mega-cities

Abstract Water resources are of fundamental significance as the basis of human life, economy, and society. Especially as the essential socioeconomic factors, water resources transferred through merchandise trade of China's mega-cities (Beijing, Tianjin, Shanghai and Chongqing) play an increasingly crucial role in China's regional water use allocation. On the whole, the four municipalities in China are all embodied water recipients along supply chains. However, it is found that embodied water transfers (including direct and indirect water) related to these mega-cities have exacerbated the regional water use imbalance and affected the water use efficiency of China as a whole to some extent. In consideration of the increasing trading exchanges among cities and regions, ignoring water transfers embodied in trades will lead to failure in depicting actual water demands. In such a context, the embodied water demands and transfers of China's municipalities are analyzed systematically, and the water use efficiencies and allocation imbalance are assessed for the first time. Outcomes of this study through systems accounting of water use profiles of China's mega-cities can be strong supports for reasonable allocation and utilization of China's water resources, showing important implications for water pressure mitigation.

[1]  Guoqian Chen,et al.  Carbon emissions and resources use by Chinese economy 2007: A 135-sector inventory and input–output embodiment , 2010 .

[2]  A. Hoekstra,et al.  The water footprint of cotton consumption: An assessment of the impact of worldwide consumption of cotton products on the water resources in the cotton producing countries , 2006 .

[3]  Wassily Leontief Input-Output Economics , 1966 .

[4]  Zhan-Ming Chen,et al.  Demand-driven energy requirement of world economy 2007: A multi-region input-output network simulation , 2013, Commun. Nonlinear Sci. Numer. Simul..

[5]  Laixiang Sun,et al.  Consumption-based CO2 accounting of China's megacities: the case of Beijing, Tianjin, Shanghai and Chongqing , 2014 .

[6]  A. Hoekstra,et al.  The water footprint of coffee and tea consumption in the Netherlands , 2007 .

[7]  Bin Chen,et al.  Ecological network analysis for a virtual water network. , 2015, Environmental science & technology.

[8]  M. Llop Water reallocation in the input–output model , 2013 .

[9]  Naota Hanasaki,et al.  Evolution of the global virtual water trade network , 2012, Proceedings of the National Academy of Sciences.

[10]  Manfred Lenzen,et al.  THE INS AND OUTS OF WATER USE – A REVIEW OF MULTI-REGION INPUT–OUTPUT ANALYSIS AND WATER FOOTPRINTS FOR REGIONAL SUSTAINABILITY ANALYSIS AND POLICY , 2011 .

[11]  Yong Geng,et al.  Features, trajectories and driving forces for energy-related GHG emissions from Chinese mega cites: The case of Beijing, Tianjin, Shanghai and Chongqing , 2012 .

[12]  Kjartan Steen-Olsen,et al.  Integrating ecological and water footprint accounting in a multi-regional input–output framework , 2012 .

[13]  Bo Zhang,et al.  Embodied energy uses by China's four municipalities: A study based on multi-regional input-output model , 2015 .

[14]  Manfred Lenzen,et al.  Mapping the structure of the world economy. , 2012, Environmental science & technology.

[15]  Lingyun He,et al.  Geographic sources and the structural decomposition of emissions embodied in trade by Chinese megacities: The case of Beijing, Tianjin, Shanghai, and Chongqing , 2017 .

[16]  Klaus Hubacek,et al.  Assessment of regional trade and virtual water flows in China , 2007 .

[17]  Naota Hanasaki,et al.  Water resources transfers through Chinese interprovincial and foreign food trade , 2014, Proceedings of the National Academy of Sciences.

[18]  Zhan-Ming Chen,et al.  Three-scale input-output modeling for urban economy: Carbon emission by Beijing 2007 , 2013, Commun. Nonlinear Sci. Numer. Simul..

[19]  Xu Zhao,et al.  Physical and virtual water transfers for regional water stress alleviation in China , 2015, Proceedings of the National Academy of Sciences.

[20]  Xiaohua Xia,et al.  Energy abatement in Chinese industry: Cost evaluation of regulation strategies and allocation alternatives , 2012 .

[21]  K. Hubacek,et al.  Environmental implications of urbanization and lifestyle change in China: Ecological and Water Footprints , 2009 .

[22]  Weidong Liu,et al.  Global water transfers embodied in Mainland China's foreign trade: production- and consumption-based perspectives. , 2017 .

[23]  Klaus Hubacek,et al.  Tele-connecting local consumption to global land use , 2013 .

[24]  Manfred Lenzen,et al.  Understanding virtual water flows: A multiregion input‐output case study of Victoria , 2009 .

[25]  中華人民共和国国家統計局 China statistical yearbook , 1988 .

[26]  Winnie Gerbens-Leenes,et al.  The water footprint of sweeteners and bio-ethanol. , 2009, Environment international.

[27]  Can Wang,et al.  Virtual water in interprovincial trade with implications for China's water policy , 2015 .

[28]  Hyunook Kim,et al.  Incorporating innovative water management science and technology into water management policy , 2016 .

[29]  Manfred Lenzen,et al.  International trade of scarce water , 2013 .

[30]  Guoqian Chen,et al.  Global supply chain of arable land use: Production-based and consumption-based trade imbalance , 2015 .

[31]  Shiyun Xu,et al.  Global network of embodied water flow by systems input-output simulation , 2012, Frontiers of Earth Science.

[32]  Howard T. Odum,et al.  Systems ecology : an introduction , 1984 .

[33]  Bin Chen,et al.  Urban ecosystem modeling and global change: potential for rational urban management and emissions mitigation. , 2014, Environmental pollution.

[34]  Thomas Wiedmann,et al.  Integrating ecological, carbon and water footprint into a "footprint family" of indicators: Definition and role in tracking human pressure on the planet , 2012 .

[35]  Xi Ji,et al.  Embodied water analysis for Hebei Province, China by input-output modelling , 2018, Frontiers of Earth Science.

[36]  Bin Chen,et al.  National water footprint in an input–output framework—A case study of China 2002 , 2009 .

[37]  Shan Guo,et al.  Local-scale systems input-output analysis of embodied water for the Beijing economy in 2007 , 2014, Frontiers of Earth Science.

[38]  G. Q. Chen,et al.  Virtual water assessment for Macao, China: highlighting the role of external trade , 2015 .

[39]  Guoqian Chen,et al.  Water footprint assessment for service sector: A case study of gaming industry in water scarce Macao , 2014 .

[40]  Klaus Hubacek,et al.  A new and integrated hydro-economic accounting and analytical framework for water resources: a case study for North China. , 2008, Journal of environmental management.

[41]  L. Shao,et al.  Multi-scale input-output analysis of consumption-based water resources: Method and application , 2017 .

[42]  E. Hertwich,et al.  CO2 embodied in international trade with implications for global climate policy. , 2008, Environmental science & technology.

[43]  Jan Weinzettel,et al.  A Footprint Family extended MRIO model to support Europe's transition to a One Planet Economy. , 2013, The Science of the total environment.

[44]  Bin Chen,et al.  A three-scale input-output analysis of water use in a regional economy: Hebei province in China , 2017 .

[45]  L. Shao,et al.  Embodied water for urban economy: A three-scale input–output analysis for Beijing 2010 , 2015 .

[46]  S. Davis,et al.  Consumption-based accounting of CO2 emissions , 2010, Proceedings of the National Academy of Sciences.

[47]  Manfred Lenzen,et al.  BUILDING EORA: A GLOBAL MULTI-REGION INPUT–OUTPUT DATABASE AT HIGH COUNTRY AND SECTOR RESOLUTION , 2013 .

[48]  Bin Chen,et al.  Energy, ecology and environment: a nexus perspective , 2016, Energy, Ecology and Environment.

[49]  Xu Zhao,et al.  Burden shifting of water quantity and quality stress from megacity Shanghai , 2016 .

[50]  Jing Ma,et al.  Virtual versus real water transfers within China , 2006, Philosophical Transactions of the Royal Society B: Biological Sciences.

[51]  Guoqian Chen,et al.  Virtual land use change in China 2002–2010: Internal transition and trade imbalance , 2015 .