Evidence map›Paper›PMID 33394403›Full record

ArticleEnvironmental science and pollution research international2021

Linkage analysis of water resources, wastewater pollution, and health for regional sustainable development-using undesirable three-stage dynamic data envelopment analysis.

Zhen Shi, Huinan Huang, Yung-Ho Chiu, Binxia Zhang, Chenjun Zhang

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

  1. Does Individuals' Perception of Wastewater Pollution Decrease Their Self-Rated Health? Evidence from China.International journal of environmental research and public health · 2022
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zhen ShiBusiness School, Hohai University, Changzhou, 213022, China.
Huinan HuangBusiness School, Hohai University, Changzhou, 213022, China.
Yung-Ho ChiuDepartment of Economics, Soochow University, 56, Kueiyang St., Sec. 1, Taipei, 10048, Taiwan. echiu@scu.edu.tw.ORCID http://orcid.org/0000-0002-9702-2892
Binxia ZhangChangzhou Hospital of Traditional Chinese Medicine Affiliated to Nanjing University of Traditional Chinese Medicine, Changzhou, China.
Chenjun ZhangBusiness School, Hohai University, Changzhou, 213022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of China's economy, pollution has made serious impact on environment and human health. However, environmental protection and residents' health are becoming more and more important along with the country's social and economic transformation. Most existing studies have analyzed the path of economic impact on the environment and the production, pollution, and health in isolation. This research takes panel data of 30 provinces in China (including autonomous regions and municipalities, excluding Tibet, Hong Kong, Macau, and Taiwan) spanning 2014 to 2017 as an example, builds an evaluation indicator system on the basis of the three stages of economic production, wastewater treatment, and human health, and uses the undesirable three-stage dynamic data envelopment analysis model to empirically evaluate the total efficiency, stage efficiency, and the efficiency of various indicators. The research results show the average efficiency of the three stages in most provinces in four years is below 0.5, indicating the poor coordination of each stage; the efficiency gaps among the eastern, central, and western regions are very large because of the resource endowments, geographical environment, industrial structure, strategic adjustment, and other infactors. The total efficiency of the three stages of production input, wastewater treatment, and health output in the eastern region are higher than that of the central region and the western region. From the perspective of stage efficiency, most of the 30 provinces exhibit production efficiency < health efficiency < wastewater treatment efficiency. For the three-phase input and output indicators, the efficiency values and development trends of different provinces vary. The efficiencies of input variables in the wastewater treatment stage and health stage are low in most provinces. This means that the provinces should implement accurate policies according to their own evaluation results and improve the relevance and coordination among the three stages through reasonable allocation of medical input and arrangement of urban employment.

Indexed as

WastewaterWater ResourcesChinaCitiesHong KongHumansMacauSustainable DevelopmentTaiwanTibetWastewaterHealth stageProduction stageUndesirable three-stage dynamic data envelopment analysis modelWastewater treatment stage

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.