中国中部四城市地区的空间差异与水资源绿色效率提升潜力

Mianhao Hu, Juhong Yuan
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摘要

为解决资源短缺和环境退化的双重制约,水资源绿色效率(WRGE)概念兼顾了社会经济和绿色发展,已被采纳为实施清洁生产战略和经济可持续发展的基础。本研究采用元前沿不理想超效率松弛度量(Meta-US-SBM)模型,考虑不同地区的技术异质性,估算了 2010-2019 年中国中部四市 38 个地区的水资源绿色效率,并讨论了不同地区、不同类别的技术差距。随后,利用 Meta-US-SBM 模型得到的水资源生态足迹输入和 GDP 产出的松弛值,绘制了不同地区水资源生态足迹改善潜力图(WEIP)。结果显示,在 "组前沿 "和 "元前沿 "组别中,平均水资源生态足迹最高的地区分别是黄石和潜江,而平均水资源生态足迹最高的组别则是EOU(经济效益大于城市化效益的地区)。令人惊讶的是,不同地区和类别之间的 WRGE 技术差距存在很大差异。我们发现,WEIP 与 WRGE 之间存在负相关。此外,水资源生态足迹改善潜力在不同地区和类别之间存在明显差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial disparities and water resource green efficiency improvement potential in the four-city area in middle China

To address the dual constraints of resource shortages and environmental degradation, the water resource green efficiency (WRGE) concept, which takes into account socioeconomic and green development, has been adopted as a basis for implementation of cleaner production strategies and sustainable economic development. In the present study, the meta-frontier undesirable super-efficiency slack-based measure (Meta-US-SBM) model, which allows for technological heterogeneity across regions, was employed to estimate WRGE in 38 regions in the four-city area in middle China in 2010–2019, and the technology gaps of different regions and categories were discussed. Subsequently, the improvement potential of WRGE (WEIP) in different regions was mapped using the slacks of water resource ecological footprint input and GDP output obtained using the Meta-US-SBM model. According to the results, the regions with the highest average WRGE under group-frontier and meta-frontier groups were Huangshi and Qianjiang, respectively, whereas the category with the highest average WRGE was EOU (regions where economic benefits outmatch urbanization benefits). Surprisingly, the WRGE technology gaps among different regions and categories showed considerable differences. We observed a negative correlation between WEIP and WRGE. Moreover, there were obvious differences in water resource ecological footprint improvement potential among different regions and categories.

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