Evidence map›Paper›PMID 34630551›Full record

ArticleComputational intelligence and neuroscience2021

Foreign Direct Investment, Regional Innovation, and Green Economic Efficiency: An Empirical Test Based on the Investigation of Intermediary Effect and Threshold Effect.

You-Qun Wu, Huai-Xin Lu, Xin-Lin Liao, Jia-Bao Liu, Jia-Ming Zhu

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

You-Qun WuSchool of Economics, Anhui University of Finance and Economics, Bengbu 233030, Anhui, China.ORCID https://orcid.org/0000-0002-3822-980X
Huai-Xin LuSchool of Economics, Anhui University of Finance and Economics, Bengbu 233030, Anhui, China.ORCID https://orcid.org/0000-0003-1045-0454
Xin-Lin LiaoSchool of Economics, Anhui University of Finance and Economics, Bengbu 233030, Anhui, China.ORCID https://orcid.org/0000-0003-4501-1304
Jia-Bao LiuSchool of Mathematics and Physics, Anhui Jianzhu University, Hefei 230601, China.ORCID https://orcid.org/0000-0002-9620-7692
Jia-Ming ZhuInstitute of Quantitative Economics, Anhui University of Finance and Economics, Bengbu 233030, China.ORCID https://orcid.org/0000-0001-9419-9433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the theoretical mechanism analysis of FDI, regional innovation, and green economic efficiency, this article uses China's provincial panel data to calculate the provincial green economic efficiency level based on the three-stage DEA method and uses the system GMM model, intermediary effect model, and threshold model to empirically test the specific effects and transmission paths of FDI on the efficiency of the green economy. Research shows that FDI is one of the important factors that promote the improvement of green economic efficiency. Subregional tests have found that FDI has a significant regional heterogeneity in promoting the efficiency of the green economy. The mediation effect test found that the mediation effect of regional innovation is significant, and FDI can significantly promote the growth of green economic efficiency through regional innovation. The threshold effect analysis found that there are significant and effective double thresholds for regional economic levels, and the impact of FDI on green economic efficiency is heterogeneous within different threshold intervals. The research conclusions provide new inspiration for China to allocate FDI more rationally and efficiently under the new development pattern.

Indexed as

InternationalityInvestmentsChina

Identifiers

PMID34630551
PMCPMC8497125

What OpenQuestion holds

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LicenceCC BY
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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.