Evidence map›Paper›PMID 36232150›Full record

ArticleInternational journal of environmental research and public health2022

Would Financial Development Help China Achieve Carbon Peak Emissions?

Ping Ji, Weidong Huo, Lan Bo, Weiwei Zhang, Xiaoxian Chen

Abstract 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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ping JiInternational Business School, Southwestern University of Finance and Economics, Chengdu 611130, China.
Weidong HuoInternational Business School, Southwestern University of Finance and Economics, Chengdu 611130, China.
Lan BoSunwah International Business School, Liaoning University, Shenyang 110136, China.ORCID 0000-0002-9718-7873
Weiwei ZhangSunwah International Business School, Liaoning University, Shenyang 110136, China.
Xiaoxian ChenSchool of Finance and Trade, Liaoning University, Shenyang 110136, China.

Funding

Liaoning Revitalization Talent Program of Liaoning Provincial Government XLYC2002116
6 · The paper itself

Abstract

China has committed to reaching carbon peak before 2030. To realize the carbon peak goal, financial development plays an essential role in developing a green economy. Based on the panel data of 30 provinces in China from 2006 to 2019, this paper explores the impact of financial development on carbon intensity both theoretically and empirically. A financial development index system is constructed and computed using the entropy method. A spatial lag panel data model is employed to empirically test the interaction effect of financial development on carbon intensity. Moreover, the mediating effects of industrial upgrading and technological innovation are further investigated. The results show that: first, carbon intensity generates strong spatial spillover effects between provinces in China. Second, financial development significantly reduces carbon intensity, and is most pronounced in central China, followed by western and eastern China. Third, industrial upgrading and technological innovation are important channels to assist financial development in cutting down carbon intensity, and both produce positive spatial spillover effects. These findings suggest that inter-regional cooperation and coordination on financial development, industrial upgrading, and technological innovation are conducive to achieving low-carbon development targets. This research not only has practical significance to China, but also provides global reference value to other countries.

Indexed as

CarbonInventionsCarbon DioxideChinaEconomic DevelopmentIndustryCarbonCarbon Dioxidecarbon intensityfinancial developmentindustrial upgradingspatial econometric modeltechnological innovation

Identifiers

PMID36232150
PMCPMC9564630

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.