The Causality between Economic Growth and the Environmental Quality: Implementing the Hsiao Causality Test Using Regression Model and Artificial Neural Network (ANN)
Journal of World Economic Research
Volume 4, Issue 5-1, September 2015, Pages: 33-39
Received: Jun. 21, 2015;
Accepted: Jun. 26, 2015;
Published: Aug. 13, 2015
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Morteza Hasanshahi, Department of Economics, College of Economics, Arsanjan Branch, Islamic Azad University (IAU), Arsanjan, Iran
Majid Zare, Department of Agricultural Economics, Arsanjan Branch, Islamic Azad University (IAU), Arsanjan, Iran
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The aim of the present study was to determine the causality between economic growth and environmental quality. The variables under study were economic growth, government expenditure, openness degree of the economy, capital stock, population, average export of contaminants, and carbon dioxide (CO2) emissions during the time period from 1977 to 2010 for the Iranian economy. The results suggested that there is a two-way relationship between economic growth and environmental quality. Besides, economic growth was found to have the greatest impact on air pollution. It was also noted that the artificial neural network (ANN) produces better results (estimates) in most cases than the regression model
Economic Growth, CO2 Emission; Environmental Quality (Air Pollution), Artificial Neural Network (ANN)
To cite this article
The Causality between Economic Growth and the Environmental Quality: Implementing the Hsiao Causality Test Using Regression Model and Artificial Neural Network (ANN), Journal of World Economic Research. Special Issue: The Globalization and Economic Structure Changes.
Vol. 4, No. 5-1,
2015, pp. 33-39.
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