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

Environment

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

By FYH News Team

Published on May 3, 2022

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. 2022 May 3.

doi: 10.1007/s11356-022-20351-6.

Online ahead of print.

Affiliations

¹ College of Economics and Management, Northeast Agricultural University, Harbin, 150036, China.
² Business School, Shandong University of Technology, Zibo, 255000, China.
³ College of Economics and Management, Northeast Agricultural University, Harbin, 150036, China. hushengde3427@sina.com.
⁴ Department of Political Science, University of Management and Technology, Lahore, Pakistan.
⁵ Remote Sensing, GIS and Climatic Research Lab (RSGCRL) National Center of GIS and Space Applications, University of the Punjab, Lahore, Pakistan.
⁶ Ural Federal University Named After the First President of Russia Boris Yeltsin, 19 Mira Street, 620002, Ekaterinburg, Russia.

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Zhonghua Li et al.

Environ Sci Pollut Res Int.

2022.

. 2022 May 3.

doi: 10.1007/s11356-022-20351-6.

Online ahead of print.

Affiliations

¹ College of Economics and Management, Northeast Agricultural University, Harbin, 150036, China.
² Business School, Shandong University of Technology, Zibo, 255000, China.
³ College of Economics and Management, Northeast Agricultural University, Harbin, 150036, China. hushengde3427@sina.com.
⁴ Department of Political Science, University of Management and Technology, Lahore, Pakistan.
⁵ Remote Sensing, GIS and Climatic Research Lab (RSGCRL) National Center of GIS and Space Applications, University of the Punjab, Lahore, Pakistan.
⁶ Ural Federal University Named After the First President of Russia Boris Yeltsin, 19 Mira Street, 620002, Ekaterinburg, Russia.

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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.

Keywords:

CS-ARDL; Economic freedom; Energy intensity; South Asian countries.

References

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Abstract

References

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