Evidence map›Paper›PMID 32356067›Full record

ArticleEnvironmental science and pollution research international2020

An improved gray Bernoulli model for estimating the relationship between economic growth and pollution emissions.

Qin Li, Zheng-Xin Wang, Xiang-Yu Zhang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Qin LiSchool of Economics & Management, Beihang University, Beijing, 100191, China.
Zheng-Xin WangSchool of Economics, Zhejiang University of Finance & Economics, Hangzhou, 310018, China.
Xiang-Yu ZhangSchool of Economics, Zhejiang University of Finance & Economics, Hangzhou, 310018, China. qiuyun269368@126.com.

Funding

National Natural Science Foundation of China 71571157; 71971194; 71801190
6 · The paper itself

Abstract

The environmental Kuznets curve (EKC) hypothesis is used to describe the relationship between economic development and environmental pollution. In this paper, an EKC-estimating method based on an improved nonlinear gray Bernoulli model (NGBM) is proposed from the perspective of gray system modeling. First, a non-equigap NGBM is established taking the GDP per capita and pollutant emission as the input and output of the gray system, respectively. Then, a particle swarm optimization algorithm is used to find the parameters in the nonlinear model. Finally, the EKC is validated by applying it to the per capita emission of wastewater, SO

Indexed as

Economic DevelopmentEnvironmental PollutantsCarbon DioxideChinaEnvironmental PollutionWastewaterCarbon DioxideEnvironmental PollutantsWastewaterEconomic growthEnvironmental Kuznets curveNonlinear gray Bernoulli modelPollutant emissions

Identifiers

What OpenQuestion holds

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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.