Evidence map›Paper›PMID 31989502›Full record

ArticleEnvironmental science and pollution research international2020

Does governance quality moderate the finance-renewable energy-growth nexus? Evidence from five major regions in the world.

Diby Francois Kassi, Gang Sun, Ning Ding

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Article in Environmental science and pollution research international, 2020. 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Diby Francois KassiSchool of Finance, Dongbei University of Finance and Economics, 217 Jianshan Street, Dalian, People's Republic of China. kassidiby17@gmail.com.ORCID http://orcid.org/0000-0002-5162-1160
Gang SunSchool of Finance, Dongbei University of Finance and Economics, 217 Jianshan Street, Dalian, People's Republic of China.
Ning DingSchool of Finance, Dongbei University of Finance and Economics, 217 Jianshan Street, Dalian, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper investigates the moderating role of governance quality on the finance-renewable energy-growth nexus in five major regions in the world, including 123 countries from 1990 to 2017. In a disaggregated approach, we used several financial variables denoting financial depth, financial efficiency, financial inclusion, and financial stability, which represent the different components of financial development. In an aggregated approach, we constructed composite indexes of governance quality and financial development following the principal component analysis (PCA). Next, we applied the two-stage least squares, difference-GMM, and system-GMM methods, as well as the Granger non-causality test in (Dumitrescu and Hurlin Econ Model 29(4):1450-1460, 2012). First, the results show that financial development and improved governance quality are complementary drivers of economic growth in all regions, except in America and Europe and Central Asia in most cases. Similarly, renewable energy consumption and enhanced governance quality are interrelated factors in strengthening economic growth in the Asia Pacific, MENA, and SSA regions, as opposed to the Americas and Europe and Central Asia. Second, there is bidirectional causality between financial development and economic growth in all areas, while the two-way causality between renewable energy consumption and growth is only confirmed in America and SSA regions, respectively. This study reveals the threshold effect of governance quality on the renewable energy-finance-growth nexus across regions. Therefore, policymakers should improve the level of governance quality and the efficiency of financial systems and renewable energy consumption to promote sustainable development in the different regions, especially in the Asia Pacific, MENA, and SSA zones.

Indexed as

Renewable EnergyAsiaCarbon DioxideEconomic DevelopmentEuropeCarbon DioxideEconomic growthFinancial developmentGovernanceMajor regionsRenewable energy

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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.