Evidence map›Paper›PMID 36767363›Full record

ArticleInternational journal of environmental research and public health2023

Environmental Governance Goals of Local Governments and Technological Innovation of Enterprises under Green Performance Assessment.

Xingshuai Wang, Ehsan Elahi, Zainab Khalid, Mohammad Ilyas Abro

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xingshuai WangSchool of Economics, Shandong University of Technology, Zibo 255000, China.ORCID 0000-0002-5375-9622
Ehsan ElahiSchool of Economics, Shandong University of Technology, Zibo 255000, China.
Zainab KhalidSchool of Economics and Management, Southeast University, Nanjing 210096, China.
Mohammad Ilyas AbroDepartment of Basic Sciences and Humanities, Dawood University of Engineering and Technology, Karachi 74800, Sindh, Pakistan.ORCID 0000-0002-2580-3622

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study empirically estimates the impact of local government environmental governance on enterprise technological innovation from the perspective of a green political performance assessment of local governments with Chinese characteristics. Fourteen years of data (from 2006 to 2019) on pollutant emissions, and the patents of A-share listed companies were collected from 230 cities in China. A fixed effect model and tool variable method were applied to empirically analyze the objectives of the study. The results show that the environmental governance formulated by the local government has regional differences, which are shown as lower governance indicators for underdeveloped areas and higher governance indicators for developed areas. Environmental governance has a greater promotion effect on technological innovation in enterprises in developed regions, as well as in large and private enterprises. Moreover, mechanism analysis showed that the local governments preferred the path of financial subsidies to promote the level of technological innovation in enterprises. This study provides a foundation for attaining the "win-win" scenario of local government environmental stewardship and high-quality green economic growth.

Indexed as

Conservation of Natural ResourcesEnvironmental PolicyChinaGoalsInventionsLocal Governmentemission reduction targetsenvironmental governancegreen economic developmentlocal governmentstechnological innovation

Identifiers

PMID36767363
PMCPMC9915408

What OpenQuestion holds

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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.