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

Author

Listed:
  • Manan Aslam*
  • Abdul Ghafoor**
  • Shafaqat Rasool*
Abstract
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.

Suggested Citation

  • Manan Aslam* & Abdul Ghafoor** & Shafaqat Rasool*, 2012. "Hedonic Price Estimation for Seed Cotton: A Case Study of District Khanewal, Pakistan," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 22, pages 67-75.
  • Handle: RePEc:pje:journl:article12ii
    as

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    File URL: http://aerc.edu.pk/wp-content/uploads/2016/08/Article_16PPR-479-VEdited-1.pdf
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    References listed on IDEAS

    as
    1. Ethridge, Don E. & Neeper, Jarral T., 1987. "Producer Returns from Cotton Strength and Uniformity: An Hedonic Price Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 19(1), pages 91-98, July.
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    5. Intodia Vijay & Deodhar, Satish Y., 2001. "Quality Attributes and Hedonic Price Analysis of Ghee," IIMA Working Papers WP2001-09-04, Indian Institute of Management Ahmedabad, Research and Publication Department.
    6. Frederick V. Waugh, 1928. "Quality Factors Influencing Vegetable Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 10(2), pages 185-196.
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