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一个改进的动态 DEA 模型来评估污水处理效率：来自长江和非长江流域的视角。

A modified dynamic DEA model to assess the wastewater treatment efficiency: perspective from Yangtze River and Non-Yangtze River Basin.

机构信息

College of Economics and Management, Nanjing Forestry University, Nanjing, 210037, People's Republic of China.

School of Economics and Management, Nantong University, No. 9 Seyuan Road, Nantong, 226019, Jiangsu, People's Republic of China.

出版信息

Sci Rep. 2022 Jun 15;12(1):9931. doi: 10.1038/s41598-022-14105-0.

DOI:10.1038/s41598-022-14105-0
PMID:35705605
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9200827/
Abstract

The wastewater treatment efficiency is crucial to constructing a livable ecological environment and promoting the sustainable development of economy and society. The differences in natural conditions, economic development and local policies between the Yangtze River Basin (YRB) and the Non-Yangtze River Basin (NYRB) increase the difficulty of wastewater treatment in governance. This study uses a modified Dynamic Data Envelopment Analysis (DEA) model to assess the wastewater treatment from 2013 to 2020, and divides the study period into two stages: the first stage (2013-2017) assesses the wastewater treatment efficiency of 18 provinces and cities in YRB and 12 provinces and cities in NYRB; the second stage (2018-2020) conducts statistical analysis of wastewater discharge pollutants in YRB and NYRB. The results conclude that the total wastewater treatment efficiency is generally low, but polarization is quite prominent. Among total wastewater treatment efficiency, NYRB scored 0.504, or slightly higher than YRB (0.398). In terms of expense efficiency, both NYRB and YRB scored below 0.4. In terms of chemical oxygen demand (COD) output efficiency, YRB (0.488) is better than NYRB (0.420). The second stage of statistical analysis presents that pollutant emissions are still high; the regions need to increase wastewater treatment investment and improve wastewater treatment efficiency.

摘要

污水处理效率对于构建宜居生态环境、促进经济社会可持续发展至关重要。长江流域（YRB）和非长江流域（NYRB）之间自然条件、经济发展和地方政策的差异增加了治理污水的难度。本研究采用改进的动态数据包络分析（DEA）模型，评估了 2013 年至 2020 年的污水处理情况，并将研究期间分为两个阶段：第一阶段（2013-2017 年）评估了 YRB 的 18 个省市和 NYRB 的 12 个省市的污水处理效率；第二阶段（2018-2020 年）对 YRB 和 NYRB 的污水排放污染物进行了统计分析。结果表明，污水处理总效率普遍较低，但极化现象相当突出。在总污水处理效率方面，NYRB 得分为 0.504，略高于 YRB（0.398）。在费用效率方面，NYRB 和 YRB 的得分均低于 0.4。在化学需氧量（COD）产出效率方面，YRB（0.488）优于 NYRB（0.420）。第二阶段的统计分析表明，污染物排放量仍然很高；各地区需要增加污水处理投资，提高污水处理效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/9200827/3df8e9ed6bac/41598_2022_14105_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/9200827/66f122d1f71c/41598_2022_14105_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/9200827/848489889ef6/41598_2022_14105_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/9200827/3df8e9ed6bac/41598_2022_14105_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/9200827/66f122d1f71c/41598_2022_14105_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/9200827/db72199cb3c8/41598_2022_14105_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/9200827/24eacbce0629/41598_2022_14105_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/9200827/abcfd3865a37/41598_2022_14105_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/9200827/c6cb19441937/41598_2022_14105_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/9200827/1018ac487c66/41598_2022_14105_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/9200827/848489889ef6/41598_2022_14105_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/9200827/3df8e9ed6bac/41598_2022_14105_Fig8_HTML.jpg

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