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By Keijiro Otsuka

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Extra resources for Agriculture in Developing Countries

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Three local investigators were hired and trained for administering the survey. The first author supervised the data collection and was involved in checking the filled-in questionnaires and editing and processing of data. The paired t-test was performed to test the significance in mean differences of inputs and outputs of rice production between two systems for the same household. On the other hand, the Stochastic Frontier Production model was used to estimate the technical efficiency of rice farms under both Bolon and Naicha crop establishment systems.

48 per cent) of land due to higher productivity achieved through technology for rice alone in the state over the 25-year period. 014 million hectares). 0003 million hectares). 015 million hectares). Hence, it is imperative that much emphasis be placed on research to evolve new technologies to increase the productivity of sunflower and red gram in the state so that the states can move towards high-value crops and thus increase their agricultural income. 1 Land Saving Effect Due to Technology in Major Field Crops of Karnataka (1970–71 to 1994–95) Average for the Years 1970–71 to 1990–91 to Land Saving Percent 1974–75 1994–95 (in Million Hectare) Land Saved Sl.

1994. 1: A Computer Program for Stochastic Frontier Production and Cost Function Estimation, Department of Econometrics, University of New England, Australia. ———. 1995. ‘Recent Developments in Frontier Modeling and Efficiency Measurement’, Australian Journal of Agricultural Economics, 39(3): pp. 219–45. J. B. Young. 1997. ‘Policy Reforms and Technological Change in Egyptian Rice Production: A Frontier Production Function Approach’, Journal of African Economics, 6(3): pp. 391–411. P. T. Shand. 1985.

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