Hedonic Price Estimation for Seed Cotton: A Case Study of District Khanewal, Pakistan

This 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.