Investigation of wood production and trading in Iran

Abstract

The relation between wood export and import of Iran and a number of major macroeconomic variables, such as oil price, gross domestic production, population, exchange rate, unemployment rate, inflation and domestic wood production during 1980-2014 were described. Pearson's correlation coefficient and multiple regression analysis were used for data analysis. The results showed that there is a significant relation at a significance level of 5% between wood export as a dependent variable and oil price, GDP, population, exchange rate and domestic wood production as independent variables. Meanwhile, there is also a significant relation between wood import and oil price, exchange rate and domestic wood production. The findings also indicate that oil price as an independent variable has the highest effect on wood import in Iran during the studied period.

Keywords

• iranian forest sector
• timber market analysis
• correlation
• regression