TMIS:A Decision Support System for Monitoring and Forecasting Prices of Timber Logs
DOI:
https://doi.org/10.36808/if/2016/v142i4/92296Keywords:
Timber Market Intelligence, Timber Price Index, Timber Depots.Abstract
The timber market in developing countries is unorganized and there is no proper system available to track the timber market trends. The aim of the study was to develop a computer based decision support system to monitor the timber prices. This system is called as Timber Market Intelligence System (TMIS). In order to monitor the prices of various timber species, timber price indices were constructed using three approaches viz., Laspeyre's, Pasche's and Fisher's Price Index and implemented in TMIS. The price forecast models were also incorporated. The TMIS was demonstrated using the timber price data of Timber Sales Depots of Kerala Forests and Wildlife Department for the period 2005 to 2009. The results indicated that one of the three price index approaches is sufficient to track the teak prices. A simple aggregate price index was found useful in the case of other species Artocarpus hirsutus, Grewia tiliifolia, Xylia xlocarpa, Terminelia paniculata, Terminelia bellirica, Terminelia tomentosa and Largerstroemia microcarpa. The maximum growth in teak prices was observed during the period 2006 to 2007 and only a marginal increase was observed from the year 2008 onwards. The annual growth rate in the prices of teak was lower as compared to other timber species.References
Box C.M. and Genkins G.M. (1994). Time Series Analysis Forecasting and Control. Pearson Education Inc.
Croxton F.E., Cowdon D.J. and Klein S. (1973). Applied General Statistics. Prentice Hall of India Private Limited
Ferretti F., Dibari C., Meo I.D, Cantiani P. and Bianchi M. (2011). A data-driven decision support system for forest planning. Mathematical and Computational Forestry & Natural-Resource Sciences, 3(1): 27-35.
Fordaq (2013). Fordaq Timber Index. http://timber.fordaq.com/fordaq/Wood-Price-Index.html. Accessed on 21st July 2013.
Forestry Commission. (2013). Timber Price Indices. http://www.forestry.gov.uk/ forestry/infd-97hehe. Accessed on 21st July 2013
HPE (2013). The HPE Price Index. http://www.hpe.de/fakten-ampzahlen/hpe-preisindex/ hpe-price-index/. Accessed on 21st July 2013.
ICFRE (2010). Forest Sector Report- India. Indian Council of Forestry Research and Education, Dehradun.
ITTO (2013). Annual Review Statistical Database. http://www.itto.int/ annual_review_ output/. Accessed on 21st July 2013.
KFD (2009). Forest Statistics-2009. Kerala Forests and Wildlife Department, Thiruvananthapuram, India.
KFD (2011). Forest Guide-2011. Forestry Information Bureau, Kerala Forests and Wildlife Department, Thiruvananthapuram, India.
Krishnankutty C.N., Thambi K.B. and Chundamannil M. (2005). Wood-balance study in Kerala and market survey. KFRI Research Report No. 268. Kerala Forest Research Institute,Peechi.
Office of the economic advisor to government of India. (2013). Whole Price Index. http://eaindustry.nic.in/. Accessed on 21st July 2013.
Rauscher H.M., Reynolds K. and Vacik H. (2005). Decision-support systems for forest management. Computers and Electronics in Agriculture, 49(1):1-5.
Rondeux J., Heber J., Claessens H. and Lejeune P. (2010). A silvicultural decision support system to compare forest management scenarios for th larch stands on a multi criteria basis. on 11 April 2013.
Wood Resources International LLC (2013). The Global Wood Fiber Index. http://www.wri-ltd.com/woodFiberIndex.cfm. Accessed on 21st July 2013.
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