The goal of this article is to investigate a technique for determining the best model for estimating wood fuel needs in Greece for the years 2020, 2025, and 2030 in order to make forest bioenergy decisions. There is a complete time series of historical data that covers a) the consumption of fuelwood and b) the six most important independent variables that could influence the consumption of fuelwood, with data spanning the years 1989 to 2010. The evaluation and selection of The best model was created using the six statistical criteria listed below: a) the size of the standard error of the theoretical values of the dependent variable, S.E., b) the value of adjusted R square, - R2, c) the absence of autocorrelation among the residuals I using the Durbin-Watson criterion, d) the statistical significance of model coefficients using the t criterion, e) the statistical significance of models using the F criterion, and f) the absence of multicoli. The price of fuelwood has a negative impact on fuelwood consumption; that is, as the price of fuelwood rises, so does the consumption of fuelwood. The price of heating oil has a positive influence on fuelwood consumption; that is, as the price of heating oil rises, so does the consumption of fuelwood.
Author (s) DetailsDr. Michael Tsatiris
Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, Orestiada, Greece.
View Book :- https://stm.bookpi.org/IEAM-V10/article/view/1471
No comments:
Post a Comment