Estimating Stumpage Price function for Improved black poplar clones using Hedonic Pricing Method in Urmia

Background and objectives: Wood farming is one of the strategies of agricultural development programs to reform unsustainable exploitation of natural resources. Accurate stumpage price predicting of poplar plantations is one of the solutions for the management and planning and ensure that profit anticipating is one of the motivating factors for investing in this section. Stumpage price function or diameter- price curve shows the right age or the optimal rotation. With regard to that stumpage price is affected by stand Volume, for estimating the profitability of poplar farming, stand volume and stumpage price should be predicted.
Material and methods: For estimating stand volume, commercial volume models have been used in this study. For this purpose Rimer model, Hart beking model and Kozak model were selected. Then, the factors affecting Poplar Stumpage Price were identified in the study area. Stumpage price were collected by a field survey of the farmers. Finally, Stumpage price was modeled using hedonic price approach.
Results: The Poplar stands’ volume was determined by Riemer model in the study area. Residual mean square error of the model was 0.034 m3. Average stand diameter and relative Volume were identified as the factors affecting on Poplars Stumpage Price. Finally, Stumpage price was modeled using a linear-hyperbolic function and by hedonic price approach. The model explained 87% of the variance.
Conclusion: Poplar wood has different use in different diameters. In this way, the wood price is different in commercial diameter and industrial diameters. In this study, by using the Riemer volume model, commercial and industrial volumes can be estimated. In the other hand, using stumpage price model, the average price per ton of wood can be estimated with stand mean diameter.
Background and objectives: Wood farming is one of the strategies of agricultural development programs to reform unsustainable exploitation of natural resources. Accurate stumpage price predicting of poplar plantations is one of the solutions for the management and planning and ensure that profit anticipating is one of the motivating factors for investing in this section. Stumpage price function or diameter- price curve shows the right age or the optimal rotation. With regard to that stumpage price is affected by stand Volume, for estimating the profitability of poplar farming, stand volume and stumpage price should be predicted.
Material and methods: For estimating stand volume, commercial volume models have been used in this study. For this purpose Rimer model, Hart beking model and Kozak model were selected. Then, the factors affecting Poplar Stumpage Price were identified in the study area. Stumpage price were collected by a field survey of the farmers. Finally, Stumpage price was modeled using hedonic price approach.
Results: The Poplar stands’ volume was determined by Riemer model in the study area. Residual mean square error of the model was 0.034 m3. Average stand diameter and relative Volume were identified as the factors affecting on Poplars Stumpage Price. Finally, Stumpage price was modeled using a linear-hyperbolic function and by hedonic price approach. The model explained 87% of the variance.
Conclusion: Poplar wood has different use in different diameters. In this way, the wood price is different in commercial diameter and industrial diameters. In this study, by using the Riemer volume model,