Evidence map›Paper›PMID 32365866›Full record

ArticleHealthcare (Basel, Switzerland)2020

The Impacts of Water Pollution Emissions on Public Health in 30 Provinces of China.

Zhen Shi, Shijiong Qin, Chenjun Zhang, Yung-Ho Chiu, Lina Zhang

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Zhen ShiDepartment of International Trade and Economics, Business School, Hohai University, Changzhou 213022, China.
Shijiong QinDepartment of Accounting, Business School, Hohai University, Changzhou 213022, China.
Chenjun ZhangDepartment of Accounting, Business School, Hohai University, Changzhou 213022, China.
Yung-Ho ChiuDepartment of Economics, Soochow University, 56, Kueiyang St., Sec. 1, Taipei 10048, Taiwan.
Lina ZhangDepartment of Business Administration, Business School, Hohai University, Changzhou 213022, China.
Hohai University · CNSoochow University · TW

Funding

Fundamental Research Funds for the Central Universities 2020QG1206Ministry of Education Humanistic and Social Science Research Youth Funds 17YJC790194Ministry of Education Humanistic and Social Science Research Youth Funds 19YJC790112The National Natural Science Foundation of China 41701610
6 · The paper itself

Abstract

China's economy in recent decades has developed at a very rapid speed, as evidenced by its GDP jumping to second place in the world. Although utilization of domestic water resources has helped spur economic development, sewage discharge as an undesirable output has unfortunately caused many negative effects on human health, causing concern from all walks of life. Therefore, governments in China at all levels are committed to urban sewage treatment policies in order to reduce the negative impact of water pollution on society. While most existing studies have targeted the macro-level modes of economic development and environmental pollution, their selection of research objects is too narrow by failing to adequately consider China's water pollution and the consequential national health crisis. This study takes cities in 30 provinces of China as the research objects and applies various influencing factors of urban wastewater treatment and health (as two stages) to the modified two-stage dynamic Slacks-Based Measures (SBM) Data Envelopment Analysis (DEA) model. The results reveal that the overall efficiency of each province is increasing and that the efficiency of the wastewater treatment stage is greater, thus contributing to overall efficiency. Conversely, the health stage's efficiency is far lower than the wastewater treatment stage's efficiency, which has a notably adverse effect on overall efficiency. In addition, most input-output variables need much improvement. Based on the findings herein, we offer specific suggestions to each province for improving sewage treatment capacity, the level of medical care, and the quality of national health.

Indexed as

health efficiencyheavy metal concentrationtwo-stage dynamic SBM DEAwastewater treatment

Identifiers

PMID32365866
PMCPMC7349760
OpenAlexW3023837000

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.