Evidence map›Paper›PMID 32989701›Full record

ArticleEnvironmental science and pollution research international2021

Is environmental regulation effective in promoting the quantity and quality of green innovation?

Xia Pan, Wenyin Cheng, Yuning Gao, Tomas Balezentis, Zhiyang Shen

Abstract read
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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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  13. Environmental regulation and technological innovation: evidence from China.Environmental science and pollution research international · 2022
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  15. 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.

Xia PanCentral University of Finance and Economics, Beijing, 100081, China.
Wenyin ChengInstitute for Contemporary China Studies, Tsinghua University, Beijing, 100084, China.
Yuning GaoInstitute for Contemporary China Studies, Tsinghua University, Beijing, 100084, China.
Tomas BalezentisLithuanian Institute of Agrarian Economics, Vilnius, Lithuania.
Zhiyang ShenSchool of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China. zhiyang86@163.com.ORCID http://orcid.org/0000-0002-5126-6461

Funding

National Natural Science Foundation of China 71733003National Office for Philosophy and Social Sciences of China 20155010298
6 · The paper itself

Abstract

Green innovation (GI) is an important means of achieving a win-win outcome in the form of both economic development and environmental protection. Using a unique Chinese Patent Census Database to identify the quantity and quality of GI in each province and panel data for Chinese industrial sector in 30 provinces from 2002 to 2015, we investigated the impact of environmental regulation (ER) on GI in China. This study presents the first attempt to identify green innovation quality in China. Empirical results show that there is an inverted-U relationship between ER and GI. The heterogenous effects are further investigated in order to obtain more accurate policy implications. The results indicate that the impact of ER on GI is insignificant in the central and western regions, implying the necessity of adjusting ER policies in these regions. Second, the inverted U-shaped relationship between ER and GI only occurred in provinces with high state-owned enterprise (SOE) ratio, figuring out the special role of Chinese SOEs in promoting GI. Third, the impact of ER on GI is insignificant in regions with high levels of pollution, indicating high potential of green innovation and policy adjustments there.

Indexed as

Economic DevelopmentEnvironmental PolicyChinaConservation of Natural ResourcesEnvironmental PollutionEnvironmental regulationGreen innovationsPatent qualityPollutionState-owned enterprises

Identifiers

PMID32989701

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.