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Investigation of wood production and trading in Iran

Author

Listed:
  • B. Sotoudeh Foumani

    (Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran)

  • S. Mohammadi Limaei

    (Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran)

  • T. Rostami Shahraji

    (Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, 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.

Suggested Citation

  • B. Sotoudeh Foumani & S. Mohammadi Limaei & T. Rostami Shahraji, 2016. "Investigation of wood production and trading in Iran," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 62(9), pages 407-412.
  • Handle: RePEc:caa:jnljfs:v:62:y:2016:i:9:id:8-2016-jfs
    DOI: 10.17221/8/2016-JFS
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    References listed on IDEAS

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    1. Mohammadi Limaei, Soleiman & Heybatian, Roghayeh & Heshmatol Vaezin, Seyed Mahdi & Torkman, Javad, 2011. "Wood import and export and its relation to major macroeconomics variables in Iran," Forest Policy and Economics, Elsevier, vol. 13(4), pages 303-307, April.
    2. Bahmani-Oskooee, Mohsen & Chakrabarti, Avik, 2003. "Import competition, employment and wages in U.S. manufacturing," Journal of Policy Modeling, Elsevier, vol. 25(9), pages 869-880, December.
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