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Exploring the Relationship between Renewable Energy Sources and Economic Growth. The Case of SAARC Countries

descriptionPublicationkeyboard_double_arrow_right Article , Journal 20 Jan 2021Publisher:MDPI AGJournal:Energies, volume 14, page 520 (eissn: 1996-1073,

Authors: Qiucheng Li; Jacob Cherian; Malik Shahzad Shabbir; Muhammad Safdar Sial; Jing Li; Ioana Mester; Alina Badulescu;

doi: 10.3390/en14030520

Exploring the Relationship between Renewable Energy Sources and Economic Growth. The Case of SAARC Countries

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Abstract

The purpose of this study is to examine the relationship between renewable energy sources and economic growth of the South Asian Association for regional cooperation (SAARC) countries. This study uses three main renewable energy sources, namely geothermal, hydro, and wind.This study collects data set from SAARC countries from 1995 to 2018 and applies a fixed effect test and panel vector error correction model (PVECM) for data analysis. The overall results show that all three renewable energy sources have a positive significant impact on economic development among SAARC countries’ economies. Moreover, hydropower renewable energy has more effects and influences on economic growth as compared to the other two individual sources of renewable energy.

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Keywords

Technology, T, SAARC countries, sustainable economic growth, renewable energy sources

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	100
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%