Evidence map›Paper›PMID 32500496›Full record

ArticleEnvironmental science and pollution research international2020

How does energy poverty affect economic development? A panel data analysis of South Asian countries.

Asad Amin, Yaping Liu, Jie Yu, Abbas Ali Chandio, Samma Faiz Rasool, Ji Luo, Shah Zaman

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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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  9. Energy poverty and economic development: evidence from BRICS economies.Environmental science and pollution research international · 2022
    Article
  10. The 'vicious cycle' of energy poverty and productivity: insights from 45 developing countries.Environmental science and pollution research international · 2021
    Article
  11. The effects of energy poverty on economic growth: a panel data analysis for BRICS countries.Environmental science and pollution research international · 2021
    Article
  12. Article
  13. Article
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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

7 authors.

Asad AminBusiness School, Guangxi University Nanning, Nanning, 530004, Guangxi, People's Republic of China. asadamin146@yahoo.com.ORCID http://orcid.org/0000-0003-4015-4605
Yaping LiuBusiness School, Guangxi University Nanning, Nanning, 530004, Guangxi, People's Republic of China.
Jie YuBusiness School, Guangxi University Nanning, Nanning, 530004, Guangxi, People's Republic of China. 84317050@qq.com.
Abbas Ali ChandioCollege of Economics, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China.
Samma Faiz RasoolPostdoctoral Station of Statistical, Guangzhou University, Guangzhou, 510006, People's Republic of China.
Ji LuoBusiness School, Guangxi University Nanning, Nanning, 530004, Guangxi, People's Republic of China.
Shah ZamanCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211100, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the interaction between energy poverty, employment, education, per capita income, inflation, and economic development using panel data for seven South Asian countries. The present study uses panel data spanning the period from 1995 to 2017, panel cointegration, autoregressive distributed lag (ARDL), and penalized quantile regression (PQR) estimators to test for cointegration in the long-run. The estimated results reveal that both panel cointegration approaches (Pedroni and Johansen-Fisher) demonstrate the existence of the long-term relationship between energy poverty, employment, education, per capita income, inflation, and economic development. The ARDL estimates show that energy poverty has a negative influence on economic development in both the long-run and the short-run. The results provide support for economic, social, and environmental policymakers in their decision-making. This study suggests that, in relation to financing the green and low-carbon economy concept, both the public sector and private industries need to make further efforts to use modern, energy-efficient, and green technologies, which are beneficial both for economic progress as well as managing the ecological degradation process.

Indexed as

Economic DevelopmentPovertyCarbon DioxideData AnalysisIndiaCarbon DioxideARDL approachEconomic developmentEnergy povertyPQR methodSouth Asia

Identifiers

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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.