Determinants of Cherry Production and Marketing in Pakistan: A Propensity Score Matching Approach

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.


Issue Date:
2013
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/253537
Published in:
Agricultural Economics Review, Volume 14, Issue 1
Page range:
45-58
Total Pages:
14




 Record created 2017-04-01, last modified 2017-08-29

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