TECHNICAL EFFICIENCY AND FACTORS INFLUENCING TECHNICAL EFFICIENCY OF PRODUCTION OF BT COTTON SEEDS IN NON-CONVENTIONAL AREAS OF KARNATAKA

B.V. MAHADEVA REDDY¹*, D. SREENIVASA MURTHY^2
1Department of Agricultural Economics, University of Agricultural Sciences, Gandhi Krishi Vignan Kendra, Bangalore, 560 065, Karnataka, India
²Division of Economics and Statistics, Indian Institute of Horticultural Research, Hessaraghatta Lake Post, Bangalore, 560 089, Karnataka
* Corresponding Author : mahadevareddybv@gmail.com

Received : 23-03-2018     Accepted : 28-03-2018     Published : 30-03-2018
Volume : 10     Issue : 6       Pages : 5568 - 5572
Int J Agr Sci 10.6 (2018):5568-5572

Keywords : Bt cotton, Technical Efficiency, Seed Production, Non-Conventional area, Conventional area
Conflict of Interest : None declared
Acknowledgements/Funding : Author thankful to University of Agricultural Sciences, Gandhi Krishi Vignan Kendra, Bangalore, 560 065, Karnataka
Author Contribution : All author equally contributed

Understanding efficiency of farmers in mobilizing their resources and factors influencing those efficiencies is important in developing countries as efficiency gain by farmers can contribute in economic gain. The present study has estimated the technical and scale efficiencies of Bt cotton seed-production farms in Karnataka, considering different production levels and has identified the determining factors of their technical efficiency. The study is based on the data collected from the major Bt cotton seed -producing regions of Karnataka, viz. Chikkaballapura from Non-conventional area (NCA) and Gadag from Conventional area of Karnataka. Data Envelopment analysis (DEA) and Multiple linear regression models have been used for estimating the technical efficiency and its determinants, respectively. The study has indicated that nearly 69 per cent of Bt cotton seed production farms in Karnataka including in farms at NCA and CA were inefficient as they were operating at level of below 90 per cent. Most of the farms in Karnataka (73.75%) have been have been performing with increasing returns to scale which shows potential to expand production and productivity. Multiple linear production function analysis, used to identify the factors influencing TE indicated that age (0.0144) and capital efficiency (0.5256) in NCA and capital efficiency (0.5704) in CA were found to influence TE significantly and positively.

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