Evidence map›Paper›PMID 35061172›Full record

ArticleEnvironmental science and pollution research international2022

How green technology innovation affects carbon emission efficiency: evidence from developed countries proposing carbon neutrality targets.

Feng Dong, Jiao Zhu, Yangfan Li, Yuhuan Chen, Yujin Gao, Mengyue Hu, Chang Qin, Jiaojiao Sun

Abstract read
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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 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  16. Recent advances in green technology and Industrial Revolution 4.0 for a sustainable future.Environmental science and pollution research international · 2023
    Review
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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

8 authors.

Feng DongSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China. dongfeng2008@126.com.ORCID http://orcid.org/0000-0002-5177-6453
Jiao ZhuSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China.
Yangfan LiSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China.
Yuhuan ChenSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China.
Yujin GaoSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China.
Mengyue HuSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China.
Chang QinSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China.
Jiaojiao SunSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, People's Republic of China.

Funding

Humanities and Social Sciences Special Research Fund of Ministry of Education in China 19JDGC011Major Program of National Philosophy and Social Science Foundation of China 21ZDA086National Natural Science Foundation of China 71573254National Natural Science Foundation of China 71974188
6 · The paper itself

Abstract

With the introduction of national carbon neutrality targets, carbon emission reduction actions in developed countries have become a hot topic as part of the international community's drive to take action to mitigate climate change. Carbon emission efficiency is an important indicator that can be used to measure progress toward carbon emission reduction targets. The relationship between green technology innovation and carbon emission efficiency has not been adequately studied, and the transmission mechanism is not yet clear. Based on the above research gaps, taking 32 developed countries that have proposed carbon neutral targets as research samples, this paper used spatial econometric models to explore the impact of green technology innovation on carbon emission efficiency and adopted spatial mediation model and spatial moderation model to analyze the transmission effects of economic development, urbanization, and financial development on environment-related green technology and carbon emission efficiency. This paper aimed to provide a policy basis for developed countries to mitigate carbon emissions and achieve carbon neutrality goals as soon as possible. The following results were obtained: (1) Luxembourg, Norway, and Switzerland were found to be efficient in terms of carbon emissions, while most developed countries were in an inefficient state. (2) Environment-related green technology innovation significantly improved carbon emission efficiency. (3) Economic development and urbanization had a mediating role on green technology innovation and carbon emission efficiency. In other words, green technology innovation could have an indirect impact on carbon emission efficiency by influencing economic development and urbanization. (4) Financial development could positively moderate the sensitivity of carbon emission efficiency to green technology innovation. Improving the level of green technology innovation is one way to improve carbon emission efficiency, and the mediating effect of economic development and urbanization can be used as a focus point to improve carbon emission efficiency. The pressure of carbon emission reduction can be moderated by finance development. The results of this study provide theoretical support that will assist developed countries in achieving their carbon neutrality targets.

Indexed as

CarbonCarbon DioxideChinaDeveloped CountriesEconomic DevelopmentInventionsCarbonCarbon DioxideCarbon emission efficiencyCarbon neutralityGreen technology innovationSpatial mediation modelSpatial moderation model

Identifiers

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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.