Evidence map›Paper›PMID 34978031›Full record

ArticleEnvironmental science and pollution research international2022

Sincerity or hypocrisy: can green M&A achieve corporate environmental governance?

Xiaoyue Zhao, Ming Jia

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

2 authors.

Xiaoyue ZhaoSchool of Management, Northwestern Polytechnical University, No.127 Youyi West Road, Xi'an, 710072, Shaanxi, China. zhaoxiaoyue@mail.nwpu.edu.cn.ORCID http://orcid.org/0000-0001-8523-6933
Ming JiaSchool of Management, Northwestern Polytechnical University, No.127 Youyi West Road, Xi'an, 710072, Shaanxi, China.

Funding

innovation foundation for doctor dissertation of northwestern polytechnical university CX202056national natural science foundation of china 71932007
6 · The paper itself

Abstract

Although green mergers and acquisitions (M&A) emerged recently as corporate green management actions, whether they can prompt corporations to achieve green transformation is unclear, as little is known about how green M&A affects strategic decisions on corporate environmental behavior. Based on legitimacy theory, we analyze Chinese heavy-polluting firms listed in the Shanghai and Shenzhen Stock Exchanges from 2009 to 2017 to explore the impact of green M&A on corporate environmental governance. Results show that green M&A has a positive impact on corporate environmental management. Specifically, we find that the positive relationship between green M&A and corporate environmental governance is strong in firms in localities under considerable media scrutiny, as such firms face increased legitimacy benefits and illegitimacy penalties. Conversely, state-owned enterprises (SOEs) weaken this relationship, as such enterprises have natural political connections to undermine legitimacy benefits and avoid illegitimacy penalties. Thus, we argue that media scrutiny and SOEs influence the likelihood of an organization to implement green M&A as a sincere substantive strategic action. Finally, we summarize the green M&A implementation of an organization in environmental governance as a sincere green action rather than hypocritical greenwashing. Furthermore, we make contributions to legitimacy theory and the corporate environmental governance literature.

Indexed as

Conservation of Natural ResourcesEnvironmental PolicyChinaOrganizationsProbabilityCorporate environmental governanceGreen mergers and acquisitionsLegitimacy theoryMedia scrutinyState-owned enterprises

Identifiers

What OpenQuestion holds

Textmetadata
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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.