The Role of Renewable Energy, Human Capital, and Carbon Emissions in Driving Economic Growth among South Asian Countries

This study examines the influence of renewable energy consumption, human capital, and carbon emissions on economic growth in South Asian nations, specifically Bangladesh, Bhutan, India, Nepal, Pakistan, and Sri Lanka. The study uses data from 1990 to 2021, a panel cointegration test, and the Fully Modified Ordinary Least Squares (FMOLS) model to look at how these variables are related. The findings show a positive correlation between economic growth and carbon emissions, while the use of renewable energy reduces these emissions. Human capital is pivotal, as elevated education and skill development contribute to diminished carbon emissions. The findings corroborate the Environmental Kuznets Curve (EKC) hypothesis, indicating that following a specific threshold of economic growth, carbon emissions decline. The study underscores the challenges confronting South Asian economies, such as rapid population growth and industrial expansion, which exacerbate carbon emissions. The study concludes by emphasizing the importance of incorporating renewable energy sources, improving human capital, and implementing environmentally sustainable policies in the region to achieve long-term economic growth and environmental sustainability.

Authors

Institutions

Publication Details

Journal
Qlantic journal of social sciences.
Published
2024-09-27
DOI
https://doi.org/10.55737/qjss.530394543
Citations
1
Primary Topic
Energy, Environment, and Transportation Policies
Type
article
Field-Weighted Citation Impact
0.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of Renewable Energy, Human Capital, and Carbon Emissions in Driving Economic Growth among South Asian Countries

Malka Liaquat, Rizwan Yasin, Noreena Safdar
1 citations
Qlantic journal of social sciences.
Energy, Environment, and Transportation Policies
0.10
article

The Role of Renewable Energy, Human Capital, and Carbon Emissions in Driving Economic Growth among South Asian Countries

Malka Liaquat, Rizwan Yasin, Noreena Safdar
article en
1 citations

Abstract

This study examines the influence of renewable energy consumption, human capital, and carbon emissions on economic growth in South Asian nations, specifically Bangladesh, Bhutan, India, Nepal, Pakistan, and Sri Lanka. The study uses data from 1990 to 2021, a panel cointegration test, and the Fully Modified Ordinary Least Squares (FMOLS) model to look at how these variables are related. The findings show a positive correlation between economic growth and carbon emissions, while the use of renewable energy reduces these emissions. Human capital is pivotal, as elevated education and skill development contribute to diminished carbon emissions. The findings corroborate the Environmental Kuznets Curve (EKC) hypothesis, indicating that following a specific threshold of economic growth, carbon emissions decline. The study underscores the challenges confronting South Asian economies, such as rapid population growth and industrial expansion, which exacerbate carbon emissions. The study concludes by emphasizing the importance of incorporating renewable energy sources, improving human capital, and implementing environmentally sustainable policies in the region to achieve long-term economic growth and environmental sustainability.

Qlantic journal of social sciences.Vol. 5(3)
Superior University (PK), The Women University Multan (PK)
Responsible consumption and production
Openalex Percentile: Top 64%
Energy, Environment, and Transportation Policies
0.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.