Evidence map›Paper›PMID 32092916›Full record

ArticleInternational journal of environmental research and public health2020

Government R&D Subsidies, Environmental Regulations, and Their Effect on Green Innovation Efficiency of Manufacturing Industry: Evidence from the Yangtze River Economic Belt of China.

Ming Yi, Yiqian Wang, Modan Yan, Lina Fu, Yao Zhang

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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  12. How Do Environmental Technology Standards Affect the Green Transformation? New Evidence from China.International journal of environmental research and public health · 2022
    Article
  13. Article
  14. Do Managerial Ties Help or Hinder Corporate Green Innovation? The Moderating Roles of Contextual Factors.International journal of environmental research and public health · 2022
    Article
  15. Article
  16. Article
  17. Evolutionary game analysis of coal enterprise resource integration under government regulation.Environmental science and pollution research international · 2022
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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

5 authors.

Ming YiSchool of Economics and Management, China University of Geosciences, Wuhan 430074, China.
Yiqian WangSchool of Economics and Management, China University of Geosciences, Wuhan 430074, China.
Modan YanFaculty of Business and Economics, Monash University, Melbourne 3800, Australia.
Lina FuSchool of International Education, South-central University for Nationalities, Wuhan 430074, China.
Yao ZhangSchool of Economics and Management, China University of Geosciences, Wuhan 430074, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Yangtze River Economic Belt is the most important manufacturing economic belt in China. The level of manufacturing green innovation efficiency of the Yangtze River Economic Belt directly affects the overall competitiveness of China's manufacturing industry. With panel data from 11 provinces and cities along the Yangtze River Economic Belt in China for the period of 2008 to 2017, this paper applies the slacks-based measure (SBM)-data envelopment analysis (DEA) model and panel Tobit model to conduct an empirical study of the effects of government research and development subsidies and environmental regulations on the green innovation efficiency of the manufacturing industry of the Yangtze River Economic Belt. The results show that, firstly, government R&D subsidies and environmental regulations are both conducive to improving the green innovation efficiency of the manufacturing industry of the Yangtze River Economic Belt; secondly, because of the fact that the interaction terms between government R&D subsidies and environmental regulations failed to pass the significance test, the positive moderating effects of R&D subsidies on environmental regulations and green innovation efficiency of the manufacturing industry are not obvious; thirdly, in terms of control variables, strengthening agglomeration is the only factor that is positively correlated with green innovation efficiency improvement of the manufacturing industry. Enterprise scale and industrial structure have negative effects on green innovation efficiency improvement, and the openness of economy has no correlation with green innovation efficiency.

Indexed as

Economic DevelopmentGovernment RegulationManufacturing IndustryChinaCitiesConservation of Natural ResourcesEfficiencyGovernmentRiversD subsidiesenvironmental regulationsgovernment R&ampgreen innovation efficiency of manufacturing industrypanel Tobit model

Identifiers

PMID32092916
PMCPMC7068457

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.