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Understanding the Environmental Kuznets Curve Hypothesis: Empirical Evidence from Bangladesh

Received: 5 July 2022     Accepted: 15 August 2022     Published: 21 June 2023
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Abstract

In the first quarter of the twenty-first century, the most substantial global concern is environmental contamination, and it has gained the prioritization of both the national and international community. Keeping in mind this crucial fact, this study conducted different statistical and econometrical methods to identify whether the gross national income of the country has a significant impact on electricity production from nonrenewable sources and different air pollutants like carbon dioxide, nitrous oxide, and methane emissions. Besides, the primary objective of this research was to analyze whether the environmental Kuznets curve hypothesis holds for the examined variables. After analyzing different statistical properties of the variables, this study came to the conclusion that the environmental Kuznets curve hypothesis holds for gross national income and carbon dioxide emission in Bangladesh in the short run as well as the long run. This study comes to this conclusion based on the findings of ordinary least square estimations; ARDL bound tests, short run causality analysis, the Error Correction Model, and other pre-diagnostic and post-diagnostic tests that have been employed in the structural model. Moreover, this study wants to demonstrate that the outline of gross national income and carbon dioxide emissions is in its initial stage of development and will increase up to the optimal peak. The compositional effect will then force the emission to decrease, and the environmental quality will be restored in the long run.

Published in Research & Development (Volume 4, Issue 2)
DOI 10.11648/j.rd.20230402.12
Page(s) 44-52
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Environmental Kuznets Curve Hypothesis, Carbon Dioxide Emission in Bangladesh, Gross National Income in Bangladesh, Auto Regressive Distributed Lag Model, Granger Causality, Error Correction Model

References
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Cite This Article
  • APA Style

    Ashique Mahmud, Md. Ataul Gani Osmani, Shoria Sharmin, Swarajit Sarker, Neropoma dey Shampa. (2023). Understanding the Environmental Kuznets Curve Hypothesis: Empirical Evidence from Bangladesh. Research & Development, 4(2), 44-52. https://doi.org/10.11648/j.rd.20230402.12

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    ACS Style

    Ashique Mahmud; Md. Ataul Gani Osmani; Shoria Sharmin; Swarajit Sarker; Neropoma dey Shampa. Understanding the Environmental Kuznets Curve Hypothesis: Empirical Evidence from Bangladesh. Res. Dev. 2023, 4(2), 44-52. doi: 10.11648/j.rd.20230402.12

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    AMA Style

    Ashique Mahmud, Md. Ataul Gani Osmani, Shoria Sharmin, Swarajit Sarker, Neropoma dey Shampa. Understanding the Environmental Kuznets Curve Hypothesis: Empirical Evidence from Bangladesh. Res Dev. 2023;4(2):44-52. doi: 10.11648/j.rd.20230402.12

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  • @article{10.11648/j.rd.20230402.12,
      author = {Ashique Mahmud and Md. Ataul Gani Osmani and Shoria Sharmin and Swarajit Sarker and Neropoma dey Shampa},
      title = {Understanding the Environmental Kuznets Curve Hypothesis: Empirical Evidence from Bangladesh},
      journal = {Research & Development},
      volume = {4},
      number = {2},
      pages = {44-52},
      doi = {10.11648/j.rd.20230402.12},
      url = {https://doi.org/10.11648/j.rd.20230402.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.rd.20230402.12},
      abstract = {In the first quarter of the twenty-first century, the most substantial global concern is environmental contamination, and it has gained the prioritization of both the national and international community. Keeping in mind this crucial fact, this study conducted different statistical and econometrical methods to identify whether the gross national income of the country has a significant impact on electricity production from nonrenewable sources and different air pollutants like carbon dioxide, nitrous oxide, and methane emissions. Besides, the primary objective of this research was to analyze whether the environmental Kuznets curve hypothesis holds for the examined variables. After analyzing different statistical properties of the variables, this study came to the conclusion that the environmental Kuznets curve hypothesis holds for gross national income and carbon dioxide emission in Bangladesh in the short run as well as the long run. This study comes to this conclusion based on the findings of ordinary least square estimations; ARDL bound tests, short run causality analysis, the Error Correction Model, and other pre-diagnostic and post-diagnostic tests that have been employed in the structural model. Moreover, this study wants to demonstrate that the outline of gross national income and carbon dioxide emissions is in its initial stage of development and will increase up to the optimal peak. The compositional effect will then force the emission to decrease, and the environmental quality will be restored in the long run.},
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Understanding the Environmental Kuznets Curve Hypothesis: Empirical Evidence from Bangladesh
    AU  - Ashique Mahmud
    AU  - Md. Ataul Gani Osmani
    AU  - Shoria Sharmin
    AU  - Swarajit Sarker
    AU  - Neropoma dey Shampa
    Y1  - 2023/06/21
    PY  - 2023
    N1  - https://doi.org/10.11648/j.rd.20230402.12
    DO  - 10.11648/j.rd.20230402.12
    T2  - Research & Development
    JF  - Research & Development
    JO  - Research & Development
    SP  - 44
    EP  - 52
    PB  - Science Publishing Group
    SN  - 2994-7057
    UR  - https://doi.org/10.11648/j.rd.20230402.12
    AB  - In the first quarter of the twenty-first century, the most substantial global concern is environmental contamination, and it has gained the prioritization of both the national and international community. Keeping in mind this crucial fact, this study conducted different statistical and econometrical methods to identify whether the gross national income of the country has a significant impact on electricity production from nonrenewable sources and different air pollutants like carbon dioxide, nitrous oxide, and methane emissions. Besides, the primary objective of this research was to analyze whether the environmental Kuznets curve hypothesis holds for the examined variables. After analyzing different statistical properties of the variables, this study came to the conclusion that the environmental Kuznets curve hypothesis holds for gross national income and carbon dioxide emission in Bangladesh in the short run as well as the long run. This study comes to this conclusion based on the findings of ordinary least square estimations; ARDL bound tests, short run causality analysis, the Error Correction Model, and other pre-diagnostic and post-diagnostic tests that have been employed in the structural model. Moreover, this study wants to demonstrate that the outline of gross national income and carbon dioxide emissions is in its initial stage of development and will increase up to the optimal peak. The compositional effect will then force the emission to decrease, and the environmental quality will be restored in the long run.
    VL  - 4
    IS  - 2
    ER  - 

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Author Information
  • Department of Economics, Varendra University, Rajshahi, Bangladesh

  • Department of Economics, Varendra University, Rajshahi, Bangladesh

  • Department of English, Rajshahi University, Rajshahi, Bangladesh

  • Department of Architecture, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

  • Department of Public Health, North South University, Dhaka, Bangladesh

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