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Identifying critical sectors and supply chain paths for virtual water and energy-related water trade in China

机译:识别中国虚拟水和能源相关水资源的关键部门和供应链路径

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Investigations on water consumption of economic processes have been widely conducted, few of which, however, traced the water embodied in supply chain paths within trading activities. In this study, we quantified the contributions of various nodes and paths in national virtual water (VW) supply chain with structural path analysis (SPA) for inter-provincial blue and grey water accounting. First, we inventoried net blue and grey VW flows of 30 provinces in China, and identified major flows between energy-related sectors and others based on multi-regional input-output analysis and water stress index. Then, the pollution-oriented water consumption ratio (PWR), indicating the proportion of grey VW consumption to the sum of the grey and blue one, was proposed. The relationship between PWR and economic development was also analyzed. Finally, we investigated the contributions of each production layer in blue and grey VW supply chain and the contributions of supply chain paths driven by different final demand by SPA. The results showed that for blue VW, major exporter and importer were Xinjiang and Zhejiang, respectively, while that for grey VW were Heilongjiang and Jiangsu. Energy-related sectors' VW outflows were mainly driven by Transport equipment, Construction and Other services, and inflows were mainly supported by Agriculture and Other manufacturing. Service-related sectors allocated more of their total VW consumption for pollution dilution while manufacturing-related sectors spent less. The amount of blue VW consumed at zeroth, first, and the rest production layers accounted for 45.0%, 35.0% and 20.0% of the total, respectively, and grey VW consumption shared the similar proportion. The specific nodes and supply chain paths identified in the study can provide insights for reducing water use in trading activities and achieving sustainable water saving roadmap.
机译:对经济流程的水消耗的调查得到了广泛的开展,其中很少有些人在交易活动中追踪供应链路径中体现的水。在这项研究中,我们量化了各种节点和路径在国家虚拟水(VW)供应链中的贡献,为省级蓝色和灰水核算的结构路径分析(SPA)。首先,我们在中国的净蓝色和灰色VW流量的净蓝色和灰色大众流动,并根据多区域投入产出分析和水分应激指数确定了与能源相关部门和其他人之间的主要流动。然后,提出了污染污染的耗水比(PWR),表明灰色VW消耗与灰色和蓝色之和的比例。还分析了PWR与经济发展之间的关系。最后,我们调查了蓝色和灰色VW供应链中每个生产层的贡献以及SPA不同最终需求所驱动的供应链路径的贡献。结果表明,对于蓝色大众,主要出口商和进口商分别是新疆和浙江,而那灰色大众是黑龙江和江苏。能源相关部门的VW外流主要由运输设备,建设和其他服务驱动,流入农业和其他制造业。与服务有关的部门分配了更多的污染稀释总量的总VW消费,而制造相关部门的缺陷较少。在Zeroth消耗的蓝色VW的数量,其余的生产层分别占总数的45.0%,35.0%和20.0%,而灰色的VW消费分别共享类似的比例。该研究中确定的特定节点和供应链路径可以为减少交易活动中的用水和实现可持续节水路线图提供有识。

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