Evidence map›Paper›PMID 33415616›Full record

ArticleEnvironmental science and pollution research international2021

Inward foreign direct investment, outward foreign direct investment, and carbon dioxide emission intensity-threshold regression analysis based on interprovincial panel data.

Lijun Cai, Saba Fazal Firdousi, Cai Li, Yusen Luo

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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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  6. Environmental concerns and pollution control in the context of developing countries.Environmental science and pollution research international · 2021
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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

4 authors.

Lijun CaiFinance Department, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
Saba Fazal FirdousiSchool of Management, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
Cai LiSchool of Management, Jiangsu University, Zhenjiang, 212013, Jiangsu, China. gscaili@ujs.edu.cn.ORCID http://orcid.org/0000-0003-0477-7346
Yusen LuoSchool of Management, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the panel data of 30 provinces (except for Tibet, Hong Kong, Macao, and Taiwan) in China from 2005 to 2016, a nonlinear threshold regression model and a carbon emission expansion models were constructed to empirically analyze the threshold effect of inward foreign direct investment (IFDI) and outward foreign direct investment (OFDI) on carbon dioxide emission intensity in China. The results show that (1) China's OFDI has increased carbon dioxide emission intensity while the IFDI has a significant inhibitory effect on carbon dioxide emission intensity. (2) The impact of the OFDI on carbon dioxide emission intensity gets influenced by the threshold effect of population size, economic development level, technology level, and environmental regulation. (3) The impact of the IFDI on carbon dioxide emission intensity also has threshold characteristics affected by population size, economic development level, and technological level. Hence, China should introduce more IFDI, optimize the structure of the OFDI, and exert its environmental improvement effect to satisfy the carbon emission reduction goal earlier.

Indexed as

Carbon DioxideInvestmentsChinaEconomic DevelopmentInternationalityRegression AnalysisCarbon DioxideCarbon dioxide emission intensityInward foreign direct investmentOutward foreign direct investmentPanel threshold regression

Identifiers

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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.