Evidence map›Paper›PMID 34622406›Full record

ArticleEnvironmental science and pollution research international2022

Can environmental awards stimulate corporate green technology innovation? Evidence from Chinese listed companies.

Huisu Lai, Fengying Wang, Chong Guo

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Do Environmental Regulations Facilitate a Low-Carbon Transformation in China's Resource-Based Cities?International journal of environmental research and public health · 2023
    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

3 authors.

Huisu LaiSchool of Public Administration, Hohai University, Nanjing, 210098, People's Republic of China.
Fengying WangMBA School, Zhejiang Gongshang University, Hangzhou, 310018, People's Republic of China. 670030179@qq.com.
Chong GuoSchool of Economics and Management, Southeast University, Nanjing, 211100, People's Republic of China. guochong006626@163.com.ORCID http://orcid.org/0000-0002-1876-539X

Funding

Postgraduate Research and Innovation Program of Jiangsu Province KYCX21_0432
6 · The paper itself

Abstract

Based on the environmental awards granted by credible third parties to recognize firms' devotion to environmental protection, this study examines the impact of environmental awards on firms' green technology innovation by using a data sample comprising Chinese A-shares listed firms for a period of 2007 to 2019. Our results show that environmental awards can significantly promote corporate green technology innovation. This finding remains valid after endogenous and robustness testing, including the alternative measure of green technology innovation, and the replacement of the estimation method with the Poisson regression and the negative binomial regression. Additional tests reveal that this influence is exerted through increased long-term loans and government environmental subsidies. Moreover, our study reveals that this effect only exists among non-state-owned enterprises, companies with high financial risk, and heavily polluting enterprises. Compared to extensive studies on how environmental regulation forces companies to conduct green technology innovation, this study provides essential guidance on the role played by positive incentives in driving corporate green technology innovation from the perspective of environmental awards.

Indexed as

Awards and PrizesOrganizationsChinaConservation of Natural ResourcesInventionsEnvironmental awardsGovernment environmental subsidiesGreen technology innovationLong-term loans

Identifiers

What OpenQuestion holds

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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.