TAILIEUCHUNG - Báo cáo lâm nghiệp: " Ranking the importance of quality variables for the price of high quality beech timber (Fagus sylvatica L.)

Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp Original article đề tài:" Ranking the importance of quality variables for the price of high quality beech timber (Fagus sylvatica L.) | 399 Ann. For. Sci. 63 2006 399-413 INRA EDP Sciences 2006 DOI forest 2006020 Original article Ranking the importance of quality variables for the price of high quality beech timber Fagus sylvatica L. Thomas KNOKEa Sebastian STANGa Norbert REMLERb Thomas Seifertc a Unit of Forest Inventory and Management Technische Universitat Munchen Germany b Bavarian Forest Service Germany c Chair of Forest Yield Science Technische Universitat Munchen Germany Received 17 October 2005 accepted 15 November 2005 Abstract - Based on the linear regression method this paper uses two econometric models to explain timber prices achieved for high quality beech timber Fagus sylvatica L. . The modelling starts with the assumption that among other variables the buyers preference determines the level of the demand curve and therefore the price paid for specific goods of a given quantity. In a first step the buyers preference was used as the central independent variable in an econometric model Price-preference-model . The variable was derived through 4 026 written buyers bids for 980 high quality beech logs offered by the Bavarian State Forest Service in autumn 2001. The logs represented a total quantity of 2 032 cubic meters m3 . The number of bids for a specific timber log multiplied by its volume served as a proxy for the buyers preferences while indicating the potentially marketable amount of timber for a particular log. As a covariate the quantity of timber offered of a particular type defined by timber diameter length and quality grade was employed. Both variables the buyers preference and the timber quantity accounted for 67 of the variation of the timber prices RMSE Euro m3 . The buyers preference absolutely dominated the model alone accounting for 66 of the variation. The subsequently derived second econometric model Preference-quality-model was utilised to explain the buyers preference by means of relevant log size and quality variables. Among the set of independent .

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