State Key Laboratory of Hydrology of Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China.
Institute of Management Science, Hohai University, Nanjing 210098, China.
Int J Environ Res Public Health. 2019 Mar 1;16(5):743. doi: 10.3390/ijerph16050743.
From a water footprint perspective, this paper adopts Gross Domestic Product (GDP) as the influencing factor to construct a lexicographical optimization framework for optimizing water resources allocation under equity and efficiency considerations. This approach consists of a lexicographic allocation of water footprints (LAWF) model and an input-output capacity of water footprints (IOWF) model. The proposed methodology is then applied to allocate water resources in the Yangtze River Economic Belt (YREB) by employing the 2013 cross-sectional data in the area. The results show that: (1) The LAWF scheme signifies reductions in water footprints in each of the YREB administrative units, thereby significantly strengthening their IOWFs. (2) IOWFs are affected by industrial attributes and natural endowments, and the impact tends to vary across different industries and regions. (3) Policy suggestions are proposed to effectively enhance the IOWFs of the weakest industries across the three YREB regions to exploit their natural endowments.
从水资源足迹的角度出发，本文采用国内生产总值（GDP）作为影响因素，构建了一个在公平与效率考虑下水资源优化配置的词典优化框架。该方法包括水资源足迹词典分配（LAWF）模型和水资源足迹投入产出能力（IOWF）模型。然后，利用该地区 2013 年的横截面数据，将所提出的方法应用于长江经济带（YREB）的水资源分配。结果表明：（1）LAWF 方案减少了 YREB 各行政区的水资源足迹，从而显著增强了它们的 IOWF。（2）IOWF 受到产业属性和自然禀赋的影响，其影响在不同产业和地区之间存在差异。（3）提出了政策建议，以有效提高三个 YREB 地区最弱产业的 IOWF，以充分利用它们的自然禀赋。
