Estimation of demand for wood panels in Iran by the year of 2012

Considering increasing rate of Iran population and consumption of wood panels, the authors investigated the per capita consumption of wood panels during the years from 1997 to 2007. The exponential smoothing method was used to obtain a per capita consumption pattern of wood panels in Iran for estimating demand of wood panels by the year of 2012. Results show that the consumption of particleboard, fiberboard, and medium density fiberboard in Iran will increase by 33%, 72% and 107 %, respectively, by the year of 2012; however, the consumption of plywood will increase only by 7% by 2012. The deficient amount of wood panels in Iran is estimated over 1400000 m3. The results of this study provide the technique reference for planners of wood panel industries in Iran in capital investment decisions.

作 者： Majid Azizi Payam Ghorbannezhad Hamid Hatefnia   作者單位： Department of wood and paper sciences and technology, College of natural resources, University of Tehran, P.O. Box: 31585-4314, Karaj, Iran  刊 名： 林業(yè)研究（英文版）  英文刊名： JOURNAL OF FORESTRY RESEARCH  年，卷(期)： 2009 20(2)  分類(lèi)號(hào)： S7  關(guān)鍵詞： wood panels   exponential smoothing   estimating   Iran   wood panel demand  

【Estimation of demand for wood panels】相關(guān)文章：

Global nitrogen fertilizer supply and demand outlook04-29

Estimation of the radionuclide distribution in sediment in coast area04-28

ESTIMATION OF ECOLOGICAL SERVICE VALUES OF WETLANDS IN SHANGHAI, CHINA04-28

The estimation-valued property of B-valued asymptotic martingale04-28

Constant-ductility strength demand spectra for seismic design of structures04-29

Solution to Boundary-value Problems in Fabrication of High-precision Reflector Panels04-26

Aircraft Engine Sensor Fault Diagnostics Based on Estimation of Engines Health Degradation04-26

Blank Panel Design of Integral Wing Skin Panels Based on Feature Mapping Methods04-27

Robust Airfoil Optimization with Multi-objective Estimation of Distribution Algorithm04-28

Adaptive speckle reduction of ultrasound images based on maximum likelihood estimation04-28