Reducing forest covered areas and changing it to pasture, agricultural, urban and rural areas is performed every year and this causes great damages in natural resources in a wide range. In order to identify the effective factors on reducing the forest cover area, multiple regression was used from 1995 to 2015 in Mazandaran forests. A Multiple regressions can link the decline in forest cover (dependent variable) and its effective factors (independent variable) are well explained. In this study, Landsat TM data of 1995 and Landsat ETM + data of 2015 were analyzed and classified in order to investigate the changes in the forest area. The images were classified in two classes of forest and non-forest areas and also forest map with spatial variables of physiography and human were analyzed by regression equation. Detection satellite images showed that during the studied period there was found a reduction of forest areas up to approximately 257331 ha. The results of regression analysis indicated that the linear combination of income per capita, rain and temperature with determined coefficient 0.4 as independent variables were capable of estimating the reduction of forest area. The results of this study can be used as an efficient tool to manage and improve forests regarding physiographical and human characteristics.
Achieving a higher level of efficiency is one of the main goals of agricultural cooperatives. However, it is not clear whether the cooperative farms are more efficient than non-cooperative farms. In this line, the present study aims to compare the performance of the cooperative and non-cooperative farms by employing the super-efficiency data envelopment analysis (DEA). To this end, a survey was designed to collect data from the sugar beet farmers of West Azerbaijan province in Iran. Overall, 30 samples from cooperative farms and 29 samples from noncooperative farms were interviewed randomly. Then, the efficiency scores for both sample groups were calculated separately. Finally, the average of efficiency scores was compared by using the non-parametric approach (Mann-Whitney test). The study findings revealed that the average efficiency scores of cooperative farms are significantly higher than non-cooperatives farms. Additionally, the results emphasized the economy of scale among the cooperative farms. Overall, we found that performance of sugar beet cooperatives is substantially better than the non-cooperatives; thus, supporting the cooperatives is recommended in the study area in order to improve the efficiency.
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