Wood import and export and its relation to major macroeconomics variables in Iran

The aim of this research is to study the import and export of wood in Iran and determine its relation with major macroeconomics variables such as population, Gross Domestic Product (GDP), world oil price and the amount of domestic wood production. Multivariable Regression analysis (MRA) was employed in order to investigate the relation between import and export of wood with the above mentioned variables. The results showed that there is a significant relation with significant level of 5% between wood import as a dependent variable and population, GDP and the amount of domestic wood production as independent variables. There was also a significant relation between wood export and population, GDP, amount of domestic wood production, and world oil price. Time series analysis and autoregressive procedure were then used to predict the export and import of wood. Results showed that it is possible to predict the wood export via a first order autoregressive model. The mean of the wood export in the distant future was calculated to be 2133.37 tons per year.

Research Highlights
► In this research we studied the wood import and export in Iran.
► There is a relation between wood import, population, GDP and wood production.
► There is a relation between wood export, population, GDP, wood production and oil price.
► We conclude that there is not any guaranty for the predicted models at this research.
► There are many things may affect the import and export which are not predictable.