Evidence map›Paper›PMID 36554343›Full record

ArticleInternational journal of environmental research and public health2022

The Impact of Green Innovation on Enterprise Green Economic Efficiency.

Yuan Li, Nan Huang, Yang Zhao

Open access · goldAbstract 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
5.2field-weighted citation impact, top 5% of its field
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

2 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Yuan LiSchool of Management, Jinan University, Guangzhou 510632, China.ORCID 0000-0003-2361-2520
Nan HuangSchool of Accounting, Nanjing Audit University, Nanjing 211815, China.
Yang ZhaoSchool of Management, Jinan University, Guangzhou 510632, China.
Jinan University · CNNanjing Audit University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the process of China's transformation from high-speed to high-quality development, the role of green innovation has gradually begun to receive attention. Using 2163 observations of 687 listed companies from 2016 to 2020, this paper examined whether green innovation can improve green economic efficiency. The study found that green innovation significantly reduces the green economic efficiency of enterprises. In the case of insufficient protection of innovation achievements, limited knowledge and technology accumulation, and the absence of enterprise engagement in heavily polluting production and operation activities, the negative impact of green innovation on their green economic efficiency is more significant. Moreover, upgraded production processes, a high degree of freedom of technology selection and high market competition can help alleviate the negative impact of green innovation on enterprises' green economic efficiency, and when the above three conditions are simultaneously met, green innovation significantly promotes the green economic efficiency of enterprises. The above findings are contradictory to the assumption of most literature intuitively. However, after a series of tests, this paper found that green innovation can still stimulate overall environmental and economic performance in some conditions. Starting from the microenterprise level and based on actual emissions data, this paper examines whether and how green innovation affects high-quality development. The findings are of great significance to academic research, policy formulation, and enterprise production and operation.

Indexed as

Economic DevelopmentChinaKnowledgePolicySmall BusinessTechnologygreen economic efficiencygreen innovationhigh-quality development

Identifiers

PMID36554343
PMCPMC9779436
OpenAlexW4311858197

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.