Artikel

Measuring the long-run effect of economic growth, population aging, and unemployment on carbon emissions in South Asia

During the last two decades, South Asia has faced extreme climate change events of heatwaves, floods, storms, droughts, and fires, affecting economies and millions of people. Meantime, the region has also experienced a notable change in economic growth, population aging, and unemployment rate. However, the carbon implications of these factors are still limited, and it requires further exploration to understand their association with carbon emissions for environmental sustainability. Thus, the prime aim of this study is to empirically evaluate the effect of economic growth, population aging, and unemployment on carbon emissions in South Asia by controlling trade and renewable energy. For this, panel data from 1996 to 2020 for Bangladesh, India, Nepal, Pakistan, and Sri Lanka have been used for empirical analysis. The study employs fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) estimation techniques using Stata and EViews software. Economic growth, population aging, and trade openness increase carbon emissions while unemployment and renewable energy reduce them. This study also confirms an inverted U-shaped association between income and carbon emissions in South Asia.

Language
Englisch

Bibliographic citation
Journal: Pakistan Journal of Commerce and Social Sciences (PJCSS) ; ISSN: 2309-8619 ; Volume: 18 ; Year: 2024 ; Issue: 1 ; Pages: 113-133

Classification
Wirtschaft
Subject
CO2 emissions
aging
unemployment
trade openness
renewable energy
South Asia

Event
Geistige Schöpfung
(who)
Abbas, Musarat
Yang, Ling
Event
Veröffentlichung
(who)
Johar Education Society, Pakistan (JESPK)
(where)
Lahore
(when)
2024

Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Abbas, Musarat
  • Yang, Ling
  • Johar Education Society, Pakistan (JESPK)

Time of origin

  • 2024

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