Title : ( Effect of exchange rate fluctuations on export of medicinal plants using the ARDL approach )
Authors: Mohammad Reza Kohansal , Seyed Mohammadreza Akbari ,Abstract
Considering the high potential production plants in Iran and global demand for buying this product and its high export value, export share of these plants can be increase among the non- oil exports. In this regard exchange rate can be effective in exports as a determining factor. The main goal of this study is surveying short-term and long-term exchange rate changes on export of medicinal plants in Iran. For Estimation relationships between export plants variable and other selected variables, Auto regressive distributed lag method (ARDL) was used. Required data sets were from Food and Agriculture Organization (FAO) and different publication of central bank of Iran in time horizon 1974-2007. The results indicated that exchange rate fluctuation, along with domestic production in the short term and long-term had most effect on medicinal export plants. In addition, effect of relative price (price than the domestic price), also were studied. Performed Calculations represent a significant and positive relationship between objective plants and relative price index in short term
Keywords
, medicinal plants, exchange rate, medicinal plants export, ARDL method@article{paperid:1037183,
author = {Kohansal, Mohammad Reza and Akbari, Seyed Mohammadreza},
title = {Effect of exchange rate fluctuations on export of medicinal plants using the ARDL approach},
journal = {International Journal of Agronomy and Plant Production},
year = {2013},
volume = {4},
number = {11},
month = {November},
issn = {2051-1914},
pages = {3083--3088},
numpages = {5},
keywords = {medicinal plants; exchange rate; medicinal plants export; ARDL method},
}
%0 Journal Article
%T Effect of exchange rate fluctuations on export of medicinal plants using the ARDL approach
%A Kohansal, Mohammad Reza
%A Akbari, Seyed Mohammadreza
%J International Journal of Agronomy and Plant Production
%@ 2051-1914
%D 2013