International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Issue 5, Part C

Technical efficiency in finger millet and paddy crop in Southern Karnataka: Application of data envelop analysis and stochastic frontier approach


Author(s): Hamsa KR, Umesh KB, Veerabhadrappa Bellundagi and Suman L

Abstract: This study, conducted in the Southern Karnataka specifically focus on progressive (Tumakuru district) and less progressive (Ramanagara district) areas with an objective of understanding the technical efficiency of the farms. Two major crops (paddy and finger millet (Ragi)) were selected considering the cultivation of crops in both progressive area and less progressive areas and to compare the technical efficiency of farm. The popular technical efficiency benchmarking tool within agricultural research are parametric (Stochastic Frontier Analysis, SFA) or non-parametric (Data Envelopment Analysis, DEA) were employed to assess the efficiency. The study indicated that about 29 per cent of progressive farms had technical efficiency above 0.9 technical efficiency score as against none in less progressive area. There were no differences in mean scores of technical efficiency of paddy in progressive (0.86) and less progressive area (0.85). But in case of finger millet, progressive area farms (0.76) were technically efficient than the less progressive farms (0.57). Eighty-three and seventy-seven percentages of obtained yield and potential yield was primarily due to factors which are under the control of farmers, respectively. This clearly indicates the importance of agriculture extension in promoting adoption of technologies and its potential in improving yield and income of farmers.

Pages: 230-236 | Views: 268 | Downloads: 24

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Hamsa KR, Umesh KB, Veerabhadrappa Bellundagi, Suman L. Technical efficiency in finger millet and paddy crop in Southern Karnataka: Application of data envelop analysis and stochastic frontier approach. Int J Stat Appl Math 2023;8(5):230-236.

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