Evidence map›Paper›PMID 34988811›Full record

ArticleEnvironmental science and pollution research international2022

Role of FDI and energy intensity in mitigating the environmental pollution in the Chinese steel industry: does technological innovation makes a difference?

Lijun Wang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. 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
–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

2 citing papers in PubMed.

  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

1 author.

Lijun WangUniversity of Management and Technology, 1901 Fort Myer Drive, Suite 700, Arlington, VA, 22209-1609, USA. 523725749@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To accomplish China's sustainable growth, it is critical to identify the primary factors affecting environmental quality in the steel industry. In this positioning, foreign direct investment (FDI), energy intensity, and technological innovation have emerged as strong pillars of the steel industry. However, there are growing concerns of carbon emission from this industry which is still debatable. In this context, this study measures the effect of FDI, energy intensity, and technology innovation on environmental quality in the steel industry from 28 provinces of China. The study uses the provincial data for China over the period 2000-2018. In addition to examining unit root properties and cointegration, this study employed Augmented Mean Group regression for estimating long-run relationships among study variables. The findings reveal the negative effect of FDI and technology innovation on environmental quality. These findings indicate that FDI and technology innovation have shaped the energy intensity in the steel industry. The positive coefficient value of energy intensity shows that innovations for environmental conservation and energy usage are minimal and did not perform an integral part in lowering carbon emissions. These findings are important in formulating successful emission reduction policies after controlling the effects of urbanization and economic growth for the Chinese steel sector.

Indexed as

InventionsSteelCarbonCarbon DioxideChinaEconomic DevelopmentEnvironmental PollutionInvestmentsCarbonCarbon DioxideSteelAugmented mean groupEnergy intensityEnvironmental qualityForeign direct investmentSteel industryTechnological innovation

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.