Volume 9, Issue 1, September 2014, Pages 26–34
Shahid Ali1, Bakhtawar Riaz2, and Salamat Ali3
1 Department of Agricultural & Applied Economics The University of Agriculture, Peshawar, Pakistan
2 Department of Agricultural & Applied Economics The University of Agriculture, Peshawar, Pakistan
3 Department of Agricultural & Applied Economics The University of Agriculture, Peshawar, Pakistan
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study estimated the level of technical efficiency of environmentally controlled (EC) shed broiler farmers in Punjab, Pakistan. Multistage random sampling technique was used for selection of 60 EC broiler producers. Data was collected from sampled producers during the months of January-February, 2014. The analysis of data was done applying stochastic frontier Cobb-Douglas production function. Maximum likelihood estimation technique was utilized for estimation. Results showed that the mean technical efficiency of sampled farmers was 0.999 ranging from 0.934 to 1.00. This implies that, on average, EC shed broiler producers were operating at full technical efficiency level. Based upon these findings it is suggested that government should motivate open shed broiler producers to switch over to EC shed broiler production and also motivate investors to invest in EC shed broiler farming. This will result in higher production of poultry meat and the problem of insufficiency of protein and other nutrients can be easily eradicated. This will also provide employment opportunities to the labor force of the country.
Author Keywords: Environmentally Controlled Shed Broiler Farms, Technical Efficiency, Cobb-Douglas Production Function, Punjab, Pakistan.
Shahid Ali1, Bakhtawar Riaz2, and Salamat Ali3
1 Department of Agricultural & Applied Economics The University of Agriculture, Peshawar, Pakistan
2 Department of Agricultural & Applied Economics The University of Agriculture, Peshawar, Pakistan
3 Department of Agricultural & Applied Economics The University of Agriculture, Peshawar, Pakistan
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This study estimated the level of technical efficiency of environmentally controlled (EC) shed broiler farmers in Punjab, Pakistan. Multistage random sampling technique was used for selection of 60 EC broiler producers. Data was collected from sampled producers during the months of January-February, 2014. The analysis of data was done applying stochastic frontier Cobb-Douglas production function. Maximum likelihood estimation technique was utilized for estimation. Results showed that the mean technical efficiency of sampled farmers was 0.999 ranging from 0.934 to 1.00. This implies that, on average, EC shed broiler producers were operating at full technical efficiency level. Based upon these findings it is suggested that government should motivate open shed broiler producers to switch over to EC shed broiler production and also motivate investors to invest in EC shed broiler farming. This will result in higher production of poultry meat and the problem of insufficiency of protein and other nutrients can be easily eradicated. This will also provide employment opportunities to the labor force of the country.
Author Keywords: Environmentally Controlled Shed Broiler Farms, Technical Efficiency, Cobb-Douglas Production Function, Punjab, Pakistan.
How to Cite this Article
Shahid Ali, Bakhtawar Riaz, and Salamat Ali, “ESTIMATION OF TECHNICAL EFFICIENCY OF ENVIRONMENTALLY CONTROLLED SHED BROILER PRODUCERS IN PUNJAB, PAKISTAN,” International Journal of Innovation and Scientific Research, vol. 9, no. 1, pp. 26–34, September 2014.
