Literature DB >> 35503151

Assessing the linkages of economic freedom and environmental quality in South Asian Countries: application of CS-ARDL.

Zhonghua Li1,2, Shengde Hu3, Usman Mehmood4,5, Ephraim Bonah Agyekum6.   

Abstract

We examine the linkages of economic freedom (ECF), energy use, and CO2 emissions in selected South Asian countries of Pakistan, India, Bangladesh, and Sri Lanka. Annual data from 1995 to 2018 are analyzed by employing second-generation methodologies. Cross-sectional autoregressive distributed lag (CS-ARDL) is used because this method incorporates the cross-sectional dependence among the data. This work uses three models, where the dependent variables are gross domestic product (GDP), CO2 emissions, and energy use. The findings reveal that ECF and energy use contributes to more economic development. ECF is improving air quality by lowering CO2 emissions. The findings suggest that these countries need to increase the percentage of renewable energy in their energy generation mix. At the same time, there is a need to integrate ECF with environmental awareness programs. This will not only increase air quality but also increase economic growth. GDP is found to be dependent on energy use; however, increased energy use from non-renewable also contaminates the environment. Therefore, South Asian countries need to invest more in research and development projects to promote renewable energy.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Keywords:  CS-ARDL; Economic freedom; Energy intensity; South Asian countries

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Year:  2022        PMID: 35503151     DOI: 10.1007/s11356-022-20351-6

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   5.190


  1 in total

1.  Economic policy uncertainty and CO2 emissions: a comparative analysis of developed and developing nations.

Authors:  Munawar Iqbal; Sohail Chand; Zia Ul Haq
Journal:  Environ Sci Pollut Res Int       Date:  2022-09-27       Impact factor: 5.190

  1 in total

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