Determinants of Cherry Production and Marketing in Pakistan: A Propensity Score Matching Approach
Akhter Ali,
Muhammad Sharif,
Khalid Mahmood and
Nadeem Akmal
Agricultural Economics Review, 2013, vol. 14, issue 01, 14
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.
Keywords: Agricultural and Food Policy; Food Consumption/Nutrition/Food Safety; International Development (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ageconsearch.umn.edu/record/253537/files/14_1_4.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:aergaa:253537
DOI: 10.22004/ag.econ.253537
Access Statistics for this article
More articles in Agricultural Economics Review from Greek Association of Agricultural Economists Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().