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The Relationship among Income, Openness and Environmental Quality: An ARDL Approach for the case of Iran

Author

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  • Mohsen Mehrara
  • Abbas Rezazadeh Karsalari
  • Maysam Musai

Abstract

The objective of this paper is to examine the relationship among environment, economic growth and openness in Iran for the period 1970-2011, based on the autoregressive distributed lag (ARDL) approach. The study finds a cointegrating relationship among these variables with co2 emission as dependent variables. The results imply GDP contribute most to long-as well as short-run CO2 emission growth. Estimating error correction model revealed that the speed of adjustment to restore equilibrium is -0.54 which confirms that there is a stable long-run relationship. Regarding weak impact of openness on long run CO2 growth, it seems that foreign trade in Iran stimulated by oil booms play trivial role in domestic energy consumption after controlling the income variable.

Suggested Citation

  • Mohsen Mehrara & Abbas Rezazadeh Karsalari & Maysam Musai, 2014. "The Relationship among Income, Openness and Environmental Quality: An ARDL Approach for the case of Iran," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(5), pages 32-40, May.
    • Handle: RePEc:hur:ijarbs:v:4:y:2014:i:5:p:32-40
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    Citations

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    Cited by:

    1. Wu Huilan & Seyi Saint Akadiri & Ilham Haouas & Abraham Ayobamiji Awosusi & Ada Tony Odu, 2024. "Impact of trade liberalization and renewable energy on load capacity factor: Evidence from novel dual adjustment approach," Energy & Environment, , vol. 35(2), pages 795-814, March.
    2. Le, Thai-Ha & Chang, Youngho & Park, Donghyun, 2016. "Trade openness and environmental quality: International evidence," Energy Policy, Elsevier, vol. 92(C), pages 45-55.

    More about this item

    Keywords

    ARDL; Environment; openness; CO2 emission; Iran Economy;
    All these keywords.

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