Evidence map›Paper›PMID 36687739›Full record

ArticleEnvironment, development and sustainability2023

Green merger and acquisition decision driven by environmental regulation and its impact on green innovation: evidence from Chinese heavily polluting listed enterprises.

Ziyuan Sun, Xiao Sun, Wei Wang, Mengxin Sun, Wenjiao Wang

Abstract read
In one paragraph

Article in Environment, development and sustainability, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ziyuan SunSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116 China.
Xiao SunSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116 China.ORCID 0000-0002-9606-9170
Wei WangSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116 China.
Mengxin SunSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116 China.
Wenjiao WangSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How heavily polluting enterprises achieve sustainable development has become an urgent issue to be solved. Based on the data of Chinese heavily polluting listed enterprises during the period of 2010-2020, this paper adopts the probit method to examine how heterogeneous environmental regulations affect green merger and acquisition (GMA) decision, and propensity score matching and difference-in-differences method to explore innovation performance of GMA. The findings are as follows: (1) Command-and-control environmental regulation (CMCER) can promote GMA, while there exists a U-shaped relationship between market-based environmental regulation (MBER) and GMA; (2) from a dynamic perspective, it turns out that GMA can promote green innovation (GI) in the first and second post-acquisition year, but this effect disappears in the third year; (3) compared with CMCER, MBER has a more pronounced positive effect on the relationship between GMA and GI; (4) heterogeneous analysis indicates that the above GMA performance is more persistent when the acquirer is state-owned, with high media attention, with high internal control or engages in vertical GMA. The findings further enrich the literature on GMA driver and performance and provide references for optimizing ER policies and promoting corporate sustainable development.

Indexed as

Environmental regulationGreen innovationGreen merger and acquisitionPSM-DIDSustainable development

Identifiers

PMID36687739
PMCPMC9845838

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.