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Forecasting Water Pollution with Regard to Macroeconomic Variables in Iran

عنوان مقاله: Forecasting Water Pollution with Regard to Macroeconomic Variables in Iran
شناسه ملی مقاله: ICSDA01_0194
منتشر شده در کنفرانس بین المللی توسعه پایدار، راهکارها و چالش ها با محوریت کشاورزی، منابع طبیعی، محیط زیست و گردشگری در سال 1393
مشخصات نویسندگان مقاله:

Gholamreza Zamanian - Assistant Professor of Economics, University of Sistan and Baluchestan, Zahedan, Iran
Parinaz Jansouz - PhD Student of Natural Resources Economics, University of Sistan and Baluchestan
Mojtaba Abbasian - PhD student of Natural Resources Economics, University of Sistan and Baluchestan

خلاصه مقاله:
Water covers over 70% of the Earth’s surface and is a very important resource for organisms and environment. Water pollution affects drinking water, rivers, lakes and oceans all over the world. Water pollution is a major global problem which requires ongoing evaluation and revision of water resource policy at all levels. This paper reports the short-term and long-term relation between water pollution and macroeconomics variables GDP, energy use and population and forecasting water pollution on based this relation by GMDH algorithm in Iran. The result shows the GDP, energy use and population have positive relation on water pollution. The comparison actual and forecasting data showed that water pollution trend has increased between the years 1980-2012 in Iran.

کلمات کلیدی:
Water Pollution, Forecasting, Group Method of Data Handling (GMDH), Autoregressive Distributed Lag (ARDL)

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/354511/