Evidence map›Paper›PMID 36612738›Full record

ArticleInternational journal of environmental research and public health2022

Impact of Environmental Regulation on Regional Innovative Ability: From the Perspective of Local Government Competition.

Dongling Wang, Yuming Zhang, Xiaoyi Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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

3 authors.

Dongling WangSchool of Management, Shandong University, Jinan 250001, China.ORCID 0000-0003-4755-5241
Yuming ZhangSchool of Management, Shandong University, Jinan 250001, China.
Xiaoyi ZhangSchool of Public Finance and Taxation, Shandong University of Finance and Economics, Jinan 250001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We empirically investigate the relationship between environmental regulation and regional innovative ability from the perspective of government competition with a dynamic spatial model, using the 2011-2020 Chinese interprovincial panel dataset as the sample. Empirical underpinnings reveal the interconnection between environmental regulation and regional innovative ability. Further, it has been substantiated as follows: (1) environmental regulation affects regional innovative ability significantly. From the national level perspective, environmental regulation is negatively correlated with regional innovative ability. Further, vigorous environmental regulation deters regional innovative ability and produces a crowding out effect; (2) Environmental regulation has a significant spatial spillover effect on regional technological innovative ability. Meanwhile, the promulgation of environmental policy in the region will affect the innovative ability of neighboring regions; (3) It has also been concluded that there is a strategic competition among local governments in promulgation of environmental regulation, specifically in eastern and central regions which has been signified through regional regressions result. Comprehensively, the current study provides recommendations to governments for allocation of environmental policy under the aegis of regional innovation for improving regional innovative ability.

Indexed as

Environmental PolicyLocal GovernmentChinaEconomic DevelopmentHumansInventionsdynamic spatial Durbin modeenvironmental regulationlocal government competitionregional innovative ability

Identifiers

PMID36612738
PMCPMC9819629

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.