Evidence map›Paper›PMID 34773500›Full record

ReviewEnvironmental monitoring and assessment2021

Assessment of rural ecological environment development in China's moderately developed areas: a case study of Xinxiang, Henan province.

Wei Xu, Fen Xu, Yunzhe Liu, Dan Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

4 authors.

Wei XuSchool of Accounting, Nanjing Audit University, Nanjing, 211815, China. xuweiacca@sina.com.ORCID http://orcid.org/0000-0001-5165-1397
Fen XuDepartment Economy and Management, Ma'anshan Technology College, 243002, Ma'anshan, China.
Yunzhe LiuSchool of Government Audit, Nanjing Audit University, Nanjing, 211815, China.
Dan ZhangSchool of Government Audit, Nanjing Audit University, Nanjing, 211815, China.

Funding

Key project of national social science fund 18AGL001Natural Science Project of Colleges and Universities in Jiangsu Province 19KJB550009
6 · The paper itself

Abstract

The reforming and opening-up has brought about the rapid development of China's economy, greatly improved the living standards of rural residents, and also caused the destruction of the rural ecological environment. Due to the backward production technology and pollution control technology, many township enterprises discharge excessive pollutants, and excessive application of chemical fertilizers and pesticides in agricultural production causes serious agricultural non-point source pollution. These pollution sources that cannot be effectively controlled cause a large number of water and land resource function decline. Not only the loss of agricultural production, but they also bring hidden danger to the survival of many rural residents. Taking Xinxiang city of Hunan province as an example, this paper selects 28 indicators and mainly uses AHP, entropy weight method, and fuzzy comprehensive evaluation method to evaluate and analyze the development level of rural ecological environment. This study can provide a reference for the Chinese government to formulate rural development planning and can also be used as a reference for the evaluation of rural ecological environment in developed and underdeveloped areas.

Indexed as

Environmental MonitoringNon-Point Source PollutionAgricultureChinaHumansSocial PlanningEcological environmentEntropy methodFood safetyFuzzy evaluationTownship enterprises

Identifiers

PMID34773500

What OpenQuestion holds

Textmetadata
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.