Licensed under Creative Common AN ECONOMETRIC ESTIMATION OF POST HARVEST LOSSES OF KINNOW IN PAKISTAN

Umar Ahmed, Liu Ying, Khalid Mushtaq, Muhammad Khalid Bashir
2015 International Journal of Economics, Commerce and Management United Kingdom   unpublished
This study was conducted to quantify the post-harvest losses of Kinnow at various stages of supply chain viz. farm, wholesale market and retail levels. A pretested questionnaires was used to collect data from 120 respondents selected randomly from district Sargodha, Pakistan. SPSS was used to for the descriptive statistics and multiple regression model analysis for econometric estimation. The findings revealed that estimated post-harvest losses at farm, wholesale market and retail levels were
more » ... etail levels were 72%, 25% and 3% of the total post-harvest losses of Kinnow respectively. Overall post-harvest losses were estimated as 45% of the total production in study area. The econometric estimation revealed that experience, picking time and picking method had significant effect on losses at farm level whereas experience, loading method, storage place showed significant effect on losses at wholesale market level and unsold quantity and type of retailers were the significant determinants of losses at retail level. The study suggests adopting a scientific approach to minimize losses. This is the first empirical study for the estimation of major determinants of post-harvest losses at transportation and retail level as well as farm level.
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