How Do Population and Urbanization Cause Environmental Degradation in South Asian Countries? A Panel Data Analysis

Authors

  • Noreen Safdar Assistant Professor, Department of Economics, the Women University Multan, Pakistan
  • Shezza Ashraf M.Phil. scholar Department of Economics, the Women University Multan, Pakistan
  • Fatima Farooq Assistant Professor, School of Economics, Bahauddin Zakariya University Multan, Pakistan
  • Junaid Qadir Visiting Lecturer, School of Economics, Bahauddin Zakariya University Multan, Pakistan

DOI:

https://doi.org/10.47067/reads.v6i4.279

Keywords:

Economic growth, Population, Environmental Degradation, PMG, CO2 Emissions

Abstract

The following study shows the economic consequences of population and environmental degradation in selected South Asian Countries for the time period 2000- 2018. Panel cointegration shows the long-run association among population, urbanization, environment and economic growth. By using PMG estimation technique, the results show that environmental degradation has a negative influence on economic growth while the urban population has a progressive impact on economic growth while the total population has a negative impact on economic growth. The results of causality analysis show that there is bidirectional causality among all variables which indicates that population, urbanization, environment and economic growth are causing each other. It is also noticed by the causality analysis that population, urbanization and economic growth are causing environmental degradation in south Asian countries. Further the results show that there is cross-sectional dependency among all variables in selected countries which reveals that all these countries should make collaborative strategies to increase economic growth and to cope up the problem of environmental degradation.

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Published

2020-12-31

How to Cite

Safdar, N. ., Ashraf, S. ., Farooq, F. ., & Qadir, J. (2020). How Do Population and Urbanization Cause Environmental Degradation in South Asian Countries? A Panel Data Analysis. Review of Economics and Development Studies, 6(4), 799-809. https://doi.org/10.47067/reads.v6i4.279