Evidence map›Paper›PMID 33661500›Full record

ArticleEnvironmental science and pollution research international2021

Environmental governance as a new runway of promotion tournaments: campaign-style governance and policy implementation in China's environmental laws.

Min Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

1 author.

Min WangShanghai University of Finance and Economics, Shanghai, China. 18055524713@163.com.

Funding

Research on the Relevance of the National Self-Technology Fund Project, Institutional Arrangement and the Owner's Organizational Governance Ability--Based on a Multidimensional Analysis of Institutional Elements 71774107University of Finance and Economics Graduate Innovation Fund Project "Government Environmental Governance and Citizen Participation Based on the Perspective of Happiness Research" CXJJ-2019-369
6 · The paper itself

Abstract

The inefficient enforcement of environmental policies cannot address global environmental challenges. As a result, China's government has implemented the Central Environmental Protection Inspection (CEPI) to overcome the policy-implementation gap between higher and lower levels of government. The existing literature has examined the positive effects of CEPI on environmental pollution, but has not explained the mechanisms for its success. To examine these mechanisms, this article uses a series of regression analyses on an empirical data set of 282 prefecture-level cities from 2010 to 2018. The results identify the mechanism for the effective implementation of CEPI, from the perspective of the campaign-style governance of local officials at local levels. This study also shows the heterogeneity of the campaign-style governance behavior of local officials, including position types and professional and cultural backgrounds. And finally, this study demonstrates that the campaign-style governance behavior of local officials has a moderating effect on the relationship between environmental pollution and local officials' promotion. Ultimately the article proposes that higher government levels should adopt the effective incentives policy to address gaps between environmental policy and implementation.

Indexed as

Conservation of Natural ResourcesEnvironmental PolicyChinaCitiesEnvironmental PollutionCampaign-style governanceEnvironmental governanceLocal officials’ promotionsPrincipal-agent theoryPromotion tournament

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.