Evidence map›Paper›PMID 33174177›Full record

ArticleEnvironmental science and pollution research international2021

Environmental pollution of China to foreign investors: detrimental or beneficial?

Emma Serwaa Obobisa, Haibo Chen, Kofi Baah Boamah, Emmanuel Caesar Ayamba, Claudia Nyarko Mensah, Nelson Amowine

Abstract read
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In one paragraph

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Emma Serwaa ObobisaSchool of Finance and Economics, Jiangsu University, Zhenjiang, 212013, People's Republic of China.ORCID http://orcid.org/0000-0002-8285-9315
Haibo ChenSchool of Finance and Economics, Jiangsu University, Zhenjiang, 212013, People's Republic of China. hbchen@ujs.edu.cn.
Kofi Baah BoamahSchool of Management, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
Emmanuel Caesar AyambaSchool of Finance and Economics, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
Claudia Nyarko MensahSchool of Management, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
Nelson AmowineSchool of Management, Jiangsu University, Zhenjiang, 212013, People's Republic of China.

Funding

National statistical science research project; Qing Lan Project of Jiangsu Province and the Key Members of Outstanding Young Teacher Training Project of Jiangsu University 2014566
6 · The paper itself

Abstract

This study investigates the dynamic linkage among foreign direct investment, energy consumption, and environmental pollution of China spanning from 1990 to 2014. Despite the extant literature on the FDI-energy-growth-environmental pollution nexus, most of the conclusion seems inconsistent. Hence, this study utilized recent econometric techniques such as the dynamic ordinary least square (DOLS), autoregressive distributed lag (ARDL) bounds test approach, Gregory and Hansen structural cointegration, and the bootstrap Granger causality. The study also disaggregated energy consumption into various sources to identify their respective distinct impact on the environment. Our study confirmed the presence of the EKC curve for China in a quadratic equation applying the DOLS. The result of the bootstrapped Granger causality confirmed the presence of a unidirectional Granger causality running from CO

Indexed as

Carbon DioxideEconomic DevelopmentChinaEnvironmental PollutionHumansInvestmentsRenewable EnergyCarbon DioxideBootstrap causalityCarbon dioxide emissionChinaCointegrationEconomic growthEnergy consumptionForeign direct investment

Identifiers

PMID33174177

What OpenQuestion holds

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Registered trials

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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.