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Abstract

In the current study determinants of cherry production and marketing in Pakistan are estimated. For the study cross sectional data set of 60 cherry producers was collected from Kalat and Ziarat districts of the Balochistan province. The analysis was carried out by employing a number of different econometric models and techniques like poison regression model was employed for estimating number of hectares under cherry orchard while logit model was employed for farmers’ decision making like selling at farm gate or taking the commodity to the market. Propensity score matching technique was employed for estimating the cherry net returns and cherry yield. The empirical results indicate that farmers selling cherry at market are obtaining higher net returns.

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