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Determinants of Environmental Degradation in Economy of Pakistan

Author

Listed:
  • Rehman, Haseeb ur

    (Pakistan Bureau of Statistics, Pakistan)

  • Zeb, Sikandar

    (Government Postgraduate College Swabi, Pakistan)

Abstract

The study attempts to examine various factors responsible for environmental degradation in Pakistan. Contributing towards economic growth, these factors added pollutants as a byproduct to the environment. Carbon dioxide (CO2) emission rate is one of such pollutants and has been used as a dependent variable in the study. Numerous factors are responsible for environmental damage, but the study includes the major ones. These determinants are economic growth, population, energy consumption and industrialization, and time-series data of these variables from 1972 to 2018 are utilized for empirical analysis in the study. Long run relationship is computed using Auto Regressive Distributed Lag (ARDL). Findings of the study revealed that three factors; population, energy consumption and industrialization are positively and significantly contributed to environmental degradation in Pakistan. While, economic growth is negatively contributing towards environmental degradation. The paper concluded with a finding that population growth needs to be controlled. Besides this, clean and green energy should be promoted. Lastly, EPAs must be strengthened for their effective role.

Suggested Citation

  • Rehman, Haseeb ur & Zeb, Sikandar, 2020. "Determinants of Environmental Degradation in Economy of Pakistan," Empirical Economic Review, Department of Economics and Statistics, Dr Hassan Murad School of Management, University of Management and Technology, Lahore, vol. 3(1), pages 83-105.
    • Handle: RePEc:ris:empecr:0025
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    File URL: https://ojs.umt.edu.pk/index.php/eer/article/view/437/153
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    Citations

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    Cited by:

    1. Muhammad Ahad & Zulfiqar Ali Imran, 2023. "The role of shadow economy to determine CO2 emission in Pakistan: evidence from novel dynamic simulated ARDL model and wavelet coherence analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3043-3071, April.
    2. Mansi Wang & Noman Arshed & Mubbasher Munir & Samma Faiz Rasool & Weiwen Lin, 2021. "Investigation of the STIRPAT model of environmental quality: a case of nonlinear quantile panel data analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12217-12232, August.

    More about this item

    Keywords

    Carbon dioxide emissions; Energy consumption; Industrialization;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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