Technical efficiency of wheat growers in district Swabi of Khyber Pakhtunkhwa, Pakistan | [Sarhad Journal of Agriculture • 2019]

Author(s):

1. Shahid Ali: Department of Agricultural and Applied Economics, The University of Agriculture,Peshawar, Khyber Pakhtunkhwa,Pakistan

2. Farhan: Department of Agricultural and Applied Economics, The University of Agriculture,Peshawar, Khyber Pakhtunkhwa,Pakistan

3. Murtaza: Department of Agricultural and Applied Economics, The University of Agriculture,Peshawar, Khyber Pakhtunkhwa,Pakistan

4. Neelum Andaleeb: Department of Economics, Women University,Swabi,Pakistan

5. Amjad Ali: Department of Agricultural and Applied Economics, The University of Agriculture,Peshawar, Khyber Pakhtunkhwa,Pakistan

Abstract:

| This study was conducted to estimate the technical eficiency of wheat growers in Swabi district of Khyber Pakhtunkhwa, Pakistan. A four stage random sampling technique was used to collect data from 160 respondents. Stochastic frontier production (SFP) function was used to analyze the technical eficiency of wheat growers.The Maximum Likelihood estimates of the model-1 showed that seed quantity, urea, chemicals (Pesticides and weedicides), labor and tractor hours were statistically significant with the coeficients of -0.027, 0.090, 0.060, 0.223 and 0.056, respectively. The estimated results of SFP model-2 revealed that household's education level was having negative and significant effect on technical ineficiency. Among the sampled respondents owners were technically more ineficient as compared to the tenants. Farm size was having negative and significant effect on ineficiency while age and farming experience of the sampled respondents were statistically insignificant. It is recommended that extension department should train farmers to improve their farming skills and provide them formal as well as informal education to enhance the technical eficiency of wheat growers.

Page(s): 1336-1343

DOI: DOI not available

Published: Journal: Sarhad Journal of Agriculture, Volume: 35, Issue: 4, Year: 2019

Keywords:

Pakistan , Khyber Pakhtunkhwa , Technical efficiency , Stochastic frontier production function

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