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Correlation analysis of environmental treatment, sewage treatment and water supply efficiency in China

机译:中国环境治理,污水处理与供水效率的相关性分析

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With the rapid economic growth and a large number of industrial production activities in China in recent years, the public has paid more and more attention to the improvement of environmental quality. Issues such as control of pollution in water and air resources, solid waste and noise, as well as energy use and alternative energy development, have received increasing attention. How to effectively manage and utilize precious water resources is a major issue for China to achieve sustainable development. The present study tried to the concepts of Data Envelopment Analysis (DEA) with slacks-based model (SBM) model under Constant Returns-to-Scale (CRS) technology (CRS-SBM-DEA) to find a solution, by estimating the total factor water usage efficiencies and sewage treatment efficiencies across Eastern, Central and Western areas in China. The results showed that, before 2007, the Eastern Area in China had the highest water usage efficiency, followed by the West Area and then the Central Area. After 2007, the Western area has gradually become the one with the highest water usage efficiency, followed by the East Area and then the Central Area. In addition, the empirical estimates also consider the impact of the social level. Through panel analysis, this paper finds that population pressure will significantly reduce the efficiency of water use in the region, and the government's actions can effectively boost the use and conservation of water resources.
机译:近年来,随着中国经济的快速增长和大量的工业生产活动,公众越来越关注环境质量的改善。控制水资源和空气资源的污染,固体废物和噪声以及能源使用和替代能源的发展等问题日益受到关注。如何有效地管理和利用珍贵的水资源是中国实现可持续发展的重要课题。本研究试图通过恒定规模收益(CRS)技术(CRS-SBM-DEA)下基于松弛模型(SBM)的数据包络分析(DEA)的概念来寻找解决方案影响中国东部,中部和西部地区的用水效率和污水处理效率。结果表明,在2007年之前,中国东部地区用水效率最高,其次是西部地区,然后是中部地区。 2007年之后,西部地区逐渐成为用水效率最高的地区,其次是东部地区,然后是中部地区。此外,经验估计还考虑了社会水平的影响。通过面板分析,本文发现人口压力将大大降低该地区的用水效率,而政府的行动可以有效地促进水资源的利用和节约。

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