Hedonic price estimation for seed cotton: a case study of district Khanewal, Pakistan

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dc.contributor.authorManan Aslam
dc.contributor.authorAbdul Ghafoor
dc.contributor.authorShafqat Rasool
dc.date.accessioned2014-09-02T14:36:17Z
dc.date.available2014-09-02T14:36:17Z
dc.date.issued2012
dc.description.abstractThis paper attempts to evaluate impact of major factors affecting prices of seed cotton in district Khanewal using primary source of data. A representative sample of 40 cotton farmers was selected using stratified random sampling technique. The impact of major factors on prices of seed cotton was estimated employing double log form of regression analysis. The findings of analysis revealed that color, length, and strength of seed cotton were the significant variables affecting its prices whereas the variables (low evidence of contamination and less use of pesticides) showed insignificant impact. Awareness campaigns, with joint involvement of public and private sectors, should be initiated to realize farming community about importance of these traits, so that cotton growers may be motivated to produce quality seed cotton.en_US
dc.identifier.citationAslam, M., Ghafoor, A., & Rasool, S. (2012). Hedonic price estimation for seed cotton: A case study of district Khanewal, Pakistan. Pakistan Journal of Applied Economics, 22(1&2).en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/1256
dc.language.isoenen_US
dc.publisherPakistan Journal of Applied Economicsen_US
dc.titleHedonic price estimation for seed cotton: a case study of district Khanewal, Pakistanen_US
dc.typeArticleen_US
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