The influence of renewable and non-renewable energy on carbon emissions in Pakistan: evidence from stochastic impacts by regression on population, affluence, and technology model

Like other developing countries, Pakistan faces one of the most serious challenges of how to mitigate carbon emissions while achieving sustainable development. Although, it is widely accepted that the rising trend of carbon emissions and the resulting negative effects of climate change on human acti...

Full description

Saved in:
Bibliographic Details
Main Authors: Amin A., bte Mohamed Yusoff N.Y., Yousaf H., Peng S., I??k C., Akbar M., Abbas S.
Other Authors: 57217247080
Format: Article
Published: Frontiers Media SA 2024
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-34615
record_format dspace
spelling my.uniten.dspace-346152024-10-14T11:21:07Z The influence of renewable and non-renewable energy on carbon emissions in Pakistan: evidence from stochastic impacts by regression on population, affluence, and technology model Amin A. bte Mohamed Yusoff N.Y. Yousaf H. Peng S. I??k C. Akbar M. Abbas S. 57217247080 58492239600 57148087500 55553916400 35317648700 57208232339 56438900000 carbon emissions non renewable energy Pakistan renewable energy STIRPAT Like other developing countries, Pakistan faces one of the most serious challenges of how to mitigate carbon emissions while achieving sustainable development. Although, it is widely accepted that the rising trend of carbon emissions and the resulting negative effects of climate change on human activities have emerged as major issues in recent years, the environmental effectiveness needed to clean the environment and promote sustainability is often overlooked. Using the PLSM 2018�2019 survey, this study attempts to examine the household sector�s renewable and non-renewable energy usage magnitude, and the share of renewable and non-renewable energy in Pakistan. Furthermore, this study examines the impact of income, household size, biomass, non-renewable energy, and clean energy on carbon emissions using the STIRPAT model. It is obvious from the empirical findings that the coefficient of income is positive, whereas the coefficient of income square is negative and statistically significant, which indicates that carbon emissions in the household sector increase at lower income levels, while decreasing as income increases. The household size shows that the population has a positive impact on carbon emissions. The impact of biomass, non-renewable, and clean energy is particularly appealing, as the household sector consumes more biomass and non-renewable energy, which stimulates carbon emissions to rise. In the rural sector, clean energy has a negative but statistically insignificant impact on carbon emissions, showing a greater reliance on biomass and non-renewable energy consumption. Lastly, it is suggested that reducing the use of non-renewable energy in the household sector while increasing the use of green energy could be a policy option for making the environment clean and sustainable. Copyright � 2023 Amin, bte Mohamed Yusoff, Yousaf, Peng, I??k, Akbar and Abbas. Final 2024-10-14T03:21:07Z 2024-10-14T03:21:07Z 2023 Article 10.3389/fenvs.2023.1182055 2-s2.0-85164993199 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164993199&doi=10.3389%2ffenvs.2023.1182055&partnerID=40&md5=edba7ea0dba419acff38d92ddcc969e5 https://irepository.uniten.edu.my/handle/123456789/34615 11 1182055 All Open Access Gold Open Access Frontiers Media SA Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic carbon emissions
non renewable energy
Pakistan
renewable energy
STIRPAT
spellingShingle carbon emissions
non renewable energy
Pakistan
renewable energy
STIRPAT
Amin A.
bte Mohamed Yusoff N.Y.
Yousaf H.
Peng S.
I??k C.
Akbar M.
Abbas S.
The influence of renewable and non-renewable energy on carbon emissions in Pakistan: evidence from stochastic impacts by regression on population, affluence, and technology model
description Like other developing countries, Pakistan faces one of the most serious challenges of how to mitigate carbon emissions while achieving sustainable development. Although, it is widely accepted that the rising trend of carbon emissions and the resulting negative effects of climate change on human activities have emerged as major issues in recent years, the environmental effectiveness needed to clean the environment and promote sustainability is often overlooked. Using the PLSM 2018�2019 survey, this study attempts to examine the household sector�s renewable and non-renewable energy usage magnitude, and the share of renewable and non-renewable energy in Pakistan. Furthermore, this study examines the impact of income, household size, biomass, non-renewable energy, and clean energy on carbon emissions using the STIRPAT model. It is obvious from the empirical findings that the coefficient of income is positive, whereas the coefficient of income square is negative and statistically significant, which indicates that carbon emissions in the household sector increase at lower income levels, while decreasing as income increases. The household size shows that the population has a positive impact on carbon emissions. The impact of biomass, non-renewable, and clean energy is particularly appealing, as the household sector consumes more biomass and non-renewable energy, which stimulates carbon emissions to rise. In the rural sector, clean energy has a negative but statistically insignificant impact on carbon emissions, showing a greater reliance on biomass and non-renewable energy consumption. Lastly, it is suggested that reducing the use of non-renewable energy in the household sector while increasing the use of green energy could be a policy option for making the environment clean and sustainable. Copyright � 2023 Amin, bte Mohamed Yusoff, Yousaf, Peng, I??k, Akbar and Abbas.
author2 57217247080
author_facet 57217247080
Amin A.
bte Mohamed Yusoff N.Y.
Yousaf H.
Peng S.
I??k C.
Akbar M.
Abbas S.
format Article
author Amin A.
bte Mohamed Yusoff N.Y.
Yousaf H.
Peng S.
I??k C.
Akbar M.
Abbas S.
author_sort Amin A.
title The influence of renewable and non-renewable energy on carbon emissions in Pakistan: evidence from stochastic impacts by regression on population, affluence, and technology model
title_short The influence of renewable and non-renewable energy on carbon emissions in Pakistan: evidence from stochastic impacts by regression on population, affluence, and technology model
title_full The influence of renewable and non-renewable energy on carbon emissions in Pakistan: evidence from stochastic impacts by regression on population, affluence, and technology model
title_fullStr The influence of renewable and non-renewable energy on carbon emissions in Pakistan: evidence from stochastic impacts by regression on population, affluence, and technology model
title_full_unstemmed The influence of renewable and non-renewable energy on carbon emissions in Pakistan: evidence from stochastic impacts by regression on population, affluence, and technology model
title_sort influence of renewable and non-renewable energy on carbon emissions in pakistan: evidence from stochastic impacts by regression on population, affluence, and technology model
publisher Frontiers Media SA
publishDate 2024
_version_ 1814060105892626432
score 13.214268