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   Margins and determinants of rice export from Pakistan to uae market  
   
نویسنده javed i. ,ghafoor a. ,ali a. ,ali imran m. ,ashfaq m.
منبع pakistan journal of agricultural sciences - 2015 - دوره : 52 - شماره : 2 - صفحه:569 -575
چکیده    This paper attempts to analyze the impact of the major determinants of rice export from pakistan to uae market. two rice varieties,namely super basmati and pk-386 were taken for this study. primary data were collected through a survey of 40 rice exporters out of 120 (those rice exporters who exported to uae),selected purposively from the list obtained from rice exporters association of pakistan. the data collected from these exporters was thus analyzed using descriptive statistics and double log form of regression analysis. net export margin of super basmati and pk-386 for uae market was rs. 19259 and rs. 11739 per ton respectively. the results of model for super basmati exports to uae market showed that education,the average purchase price and average sale price significantly affected its export. the coefficient of determination was found to be 0.69 and f-value was also significant. results of model for pk-386 exports showed that age,average purchase prices and average marketing cost were significant variables. coefficient of determination was 0.62 and f value was found significant. the findings suggested that proactive management should be adopted in rice export policy by extending domestic production base,stabilizing domestic prices and targeting high value markets. © 2015 university of agriculture. all rights reserved.
کلیدواژه Double log regression; Export margin; Export policy; Super basmati
آدرس institute of agricultural and resource economics,university of agriculture, Pakistan, institute of business management sciences,university of agriculture, Pakistan, institute of agricultural and resource economics,university of agriculture, Pakistan, institute of agricultural and resource economics,university of agriculture, Pakistan, institute of agricultural and resource economics,university of agriculture, Pakistan
 
     
   
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