Evidence map›Paper›PMID 31947618›Full record

ArticleInternational journal of environmental research and public health2020

Labor Costs, Market Environment and Green Technological Innovation: Evidence from High-Pollution Firms.

Rui Gong, Yong-Qiu Wu, Feng-Wen Chen, Tai-Hua Yan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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
  2. Article
  3. How Labor Costs Affect Innovation Output in Pharmaceutical Companies: Evidence from China.Inquiry : a journal of medical care organization, provision and financing
    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.

Rui GongSchool of Economics and Business Administration, Chongqing University, Chongqing 400030, China.
Yong-Qiu WuSchool of Economics and Business Administration, Chongqing University, Chongqing 400030, China.
Feng-Wen ChenSchool of Economics and Business Administration, Chongqing University, Chongqing 400030, China.
Tai-Hua YanSchool of Economics and Business Administration, Chongqing University, Chongqing 400030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging economies face the challenge of increasing labor costs but also provide an opportunity to promote environmental governance and green development. Based on the perspectives of impetus and capability, the effects of rising labor costs and market environment on green technological innovation are investigated in this study. The empirical studies used the data of high-pollution firms in China from 2009 to 2018. Results demonstrate that rising labor costs deteriorates high-pollution firm performance, while highly competitive industries are affected more than other industries. Meanwhile, the influence of rising labor costs on green technological innovation has a threshold effect which illustrates an "inversely U-shaped" variation trend with the increase of degree of market monopoly. The labor costs will make biggest impact on the green technological innovation in the moderately concentrated market environment. Basing from these results, this study provides the following suggestions for emerging economies' green development: Take rising labor cost as an opportunity to advance technological progress to the green direction, establish a sound market competition environment, and develop green finance to reduce the financing constraints of green technological innovation.

Indexed as

IndustryChinaConservation of Natural ResourcesEnvironmental PolicyEnvironmental PollutionHumansInventionsTime Factorsfirm performancegreen technological innovationlabor costmarket environment

Identifiers

PMID31947618
PMCPMC7013885

What OpenQuestion holds

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LicenceCC BY
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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.