Analysis of Demand and Supply of Sawn Timber in Lao People's Democratic Republic

This study was conducted to investigate the main factors affecting supply and demand of sawn timber in Lao PDR. A market model of sawn timber consisting of supply, export and domestic demand equations, and an identity equation was formulated and developed. The partial adjustment framework for su...

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Main Author: Inthachack, Anousack
Format: Thesis
Language:English
English
Published: 2000
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/10005/1/FH_2000_2_IR.pdf
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spelling my-upm-ir.100052023-12-06T01:54:18Z Analysis of Demand and Supply of Sawn Timber in Lao People's Democratic Republic 2000-03 Inthachack, Anousack This study was conducted to investigate the main factors affecting supply and demand of sawn timber in Lao PDR. A market model of sawn timber consisting of supply, export and domestic demand equations, and an identity equation was formulated and developed. The partial adjustment framework for supply and demand of sawn timber was developed. Annual data for the period 1978 to 1992 were used in this study. Secondary data obtained from various sources including those published by local and international organisations and the record of relevant wood industries in Lao PDR were also used. The model was estimated using two stage least square technique (2SLS). The regression and simulation test results indicated that the estimated models were quite satisfactory. All the significant coefficients had the correct signs. The Root Mean Square Percentage Error and Their Inequality Coefficient values of the estimated models were low. The findings indicated that sawn timber price and total revenue, the latter of which was used as a proxy for total area harvested, were important factors influencing the supply of sawn timber. The supply elasticities with respect to these variables were 1.263 and 1.682, respectively. On the domestic demand side, per capita income was an important factor influencing the quantity demanded for sawn timber. The income elasticity with respect to the variable was 1.400. Two main factors that affect the quantity export demand were world per capita income and world sawn timber import price. The elasticity values with respect to these variables were -1.741 and 2.661, respectively. The findings suggest that policy variables such as annual coupe as estimated do have an impact on quantity of sawn timber supplied. This suggests that the government can influence sawn timber supply by manipulating the annual logging coupe. Demand for sawn timber, however, is more dependent on market forces, particularly by prices of sawn timber and substitute. Timber - Laos - Economic aspects 2000-03 Thesis http://psasir.upm.edu.my/id/eprint/10005/ http://psasir.upm.edu.my/id/eprint/10005/1/FH_2000_2_IR.pdf text en public masters Universiti Putra Malaysia Timber - Laos - Economic aspects Faculty of Forestry Abd. Ghani, Awang Noor English
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
English
advisor Abd. Ghani, Awang Noor
topic Timber - Laos - Economic aspects


spellingShingle Timber - Laos - Economic aspects


Inthachack, Anousack
Analysis of Demand and Supply of Sawn Timber in Lao People's Democratic Republic
description This study was conducted to investigate the main factors affecting supply and demand of sawn timber in Lao PDR. A market model of sawn timber consisting of supply, export and domestic demand equations, and an identity equation was formulated and developed. The partial adjustment framework for supply and demand of sawn timber was developed. Annual data for the period 1978 to 1992 were used in this study. Secondary data obtained from various sources including those published by local and international organisations and the record of relevant wood industries in Lao PDR were also used. The model was estimated using two stage least square technique (2SLS). The regression and simulation test results indicated that the estimated models were quite satisfactory. All the significant coefficients had the correct signs. The Root Mean Square Percentage Error and Their Inequality Coefficient values of the estimated models were low. The findings indicated that sawn timber price and total revenue, the latter of which was used as a proxy for total area harvested, were important factors influencing the supply of sawn timber. The supply elasticities with respect to these variables were 1.263 and 1.682, respectively. On the domestic demand side, per capita income was an important factor influencing the quantity demanded for sawn timber. The income elasticity with respect to the variable was 1.400. Two main factors that affect the quantity export demand were world per capita income and world sawn timber import price. The elasticity values with respect to these variables were -1.741 and 2.661, respectively. The findings suggest that policy variables such as annual coupe as estimated do have an impact on quantity of sawn timber supplied. This suggests that the government can influence sawn timber supply by manipulating the annual logging coupe. Demand for sawn timber, however, is more dependent on market forces, particularly by prices of sawn timber and substitute.
format Thesis
qualification_level Master's degree
author Inthachack, Anousack
author_facet Inthachack, Anousack
author_sort Inthachack, Anousack
title Analysis of Demand and Supply of Sawn Timber in Lao People's Democratic Republic
title_short Analysis of Demand and Supply of Sawn Timber in Lao People's Democratic Republic
title_full Analysis of Demand and Supply of Sawn Timber in Lao People's Democratic Republic
title_fullStr Analysis of Demand and Supply of Sawn Timber in Lao People's Democratic Republic
title_full_unstemmed Analysis of Demand and Supply of Sawn Timber in Lao People's Democratic Republic
title_sort analysis of demand and supply of sawn timber in lao people's democratic republic
granting_institution Universiti Putra Malaysia
granting_department Faculty of Forestry
publishDate 2000
url http://psasir.upm.edu.my/id/eprint/10005/1/FH_2000_2_IR.pdf
_version_ 1794018856692350976