By Mengyao Han                                               April 27, 2017   

本研究采用三尺度投入产出分析方法，以中国河北省为例，分析了该省的水资源利用情况，并比较了区域经济与城市经济在水资源利用方面的差异。据我们所知，本文首次从全球、国家、区域三个层面出发，对河北省的区域水资源分配及节水政策制定进行了深入探讨。研究表明，河北省的水资源利用强度高于全球平均水平，但与全国平均水平相当。此外，河北省最终需求中所包含的水资源量远远低于实际抽取的水量，这说明有大量外部水资源通过第一产业和第二产业流入河北省境内。研究还详细阐述了河北省从全球、国家到区域的水资源供需状况，从而为在区域发展和城市一体化背景下合理配置水资源奠定了坚实的基础。

By means of the three-scale input-output analysis, this study, taking Hebei Province in China as a case work, analyzes the water use in the provincial district and compares that between regional and urban economies. To the best of our knowledge, this paper pioneers providing a multi-scale perspective in a spectrum from global, national and regional scale, into regional water use allocation and water-saving policy making in Hebei province. The embodied water intensities for Hebei are revealed to be higher than that of the global average, but relatively approximate to that of the national average. The fact that water embodied in Hebei’s final demand is much lower than the direct water withdrawal is unveiled, with large amounts of foreign embodied water exports and domestic imports flowing through the primary and secondary industry. The network outlines detailed supply and demand chains of water resources in Hebei province from global, national, and regional scales, laying a solid foundation for reasonable allocation of water resources in regional economies in context of regional development and urban integration.

详情请参阅以下信息/链接： 

Details can be referred through the following information/link:
dx.doi.org/10.1016/j.jclepro.2017.04.083

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雅各布·A·巴乔、肖娜·B·伯恩西尔弗、亚历克斯·阿雷纳斯、詹姆斯·S·马格丹兹、加里·P·科菲纳斯以及曼利奥·德·多梅尼科等人通过复杂的社交生态网络分析发现：与资源枯竭相比，社会变革对社区的稳定性影响更大。《美国国家科学院院刊》，2016年出版；论文在线预发表时间为2016年11月16日，doi:10.1073/pnas.1604401113。

Jacopo A. Baggio, Shauna B. BurnSilver, Alex Arenas, James S. Magdanz, Gary P. Kofinas, and Manlio De Domenico Multiplex social ecological network analysis reveals how social changes affect community robustness more than resource depletion PNAS 2016 ; published ahead of print November 16, 2016, doi:10.1073/pnas.1604401113.