Title of article :
Estimating Household Demand Function for Selected Vegetables in District Peshawar, Khyber Pakhtunkhwa
Author/Authors :
ain, noor ul university of agriculture - institute of development studies, faculty of rural social sciences, Peshawar, pakistan , shafi, malik muhammad university of agriculture - institute of development studies, faculty of rural social sciences, Peshawar, pakistan , ali, haidar university of agriculture - institute of development studies, faculty of rural social sciences, Peshawar, pakistan
From page :
302
To page :
313
Abstract :
This research study estimated the household’s demand function for selected vegetables (Spinach, Pea, Potato and Cabbage-Cauliflower) in district Peshawar for the year April, 2017. Through proportion allocation technique a total number of 120 households were selected from two villages namely Landi Arbab and Deh Bahadar. Data was analyzed through Double log model for estimation of demand for the selected vegetables. It was found that household head in Landi Arbab includes 87.10% male and 12.90% female whereas in Deh Bahadar, 94.82% household heads were male and 5.18% of the household head were female. Descriptive statistics showed that the average household size was 6. The average education level was 12.92 years and average household’s income was Rs. 91,336.66 during the study period. The results showed that on average the quantity demanded of Spinach was 4.1993 Kgs, Pea 4.0767 Kgs, Potato 6.65 Kgs and 4.95 Kgs of Cabbage-Cauliflower. Results showed that Spinach was a compliment of Pea. Results indicated that household size was highly significant and had a positive relation with the quantity demanded. The study showed that household size is highly significant for all the selected vegetables, indicated that as the number of member in household increases the quantity demanded of these vegetables also increases and to meet this gap of excess demand advanced technology should be adopted to increase vegetables production.
Keywords :
Demand , Demand function , Double log model , Selected vegetables
Journal title :
Sarhad Journal of Agriculture
Journal title :
Sarhad Journal of Agriculture
Record number :
2747501
Link To Document :
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