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Technology Gap and Productivity Difference in Indian Agriculture : A Meta Frontier Analysis


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1 Research Scholar, Department of Economics, University of Burdwan, West Bengal, India

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The efficiency differentials in agriculture among different states in India was calculated by utilizing the concept of group and meta frontier production function techniques. The productivity potential of various states was calculated by utilizing the concept of Technology Gap Ratio (TGR). Empirical results were derived from a district-level input-output data set comprising of 35 major crops of 15 major Indian states covering a period of 50 years. The results showed a large technology gap ratio between the sample states of the country, ranging between 0.403 and 0.838. The study supported the view that the technology gap plays an important part in explaining the ability of agricultural sectors in one state to compete with agricultural sectors in others states in India. For calculating the efficiency results, the data envelopment analysis (DEA) was applied for the input-output data set.

Keywords

Agricultural Productivity, Data Envelopment Analysis, Metafrontier Function, Efficiency, Technology Gap

JEL Classification: N57, O47, O55, Q10

Paper Submission Date : February 15, 2015 ; Paper sent back for Revision : July 6, 2015 ; Paper Acceptance Date : August 9, 2015.

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  • Technology Gap and Productivity Difference in Indian Agriculture : A Meta Frontier Analysis

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Authors

Chandan Kumar Maity
Research Scholar, Department of Economics, University of Burdwan, West Bengal, India

Abstract


The efficiency differentials in agriculture among different states in India was calculated by utilizing the concept of group and meta frontier production function techniques. The productivity potential of various states was calculated by utilizing the concept of Technology Gap Ratio (TGR). Empirical results were derived from a district-level input-output data set comprising of 35 major crops of 15 major Indian states covering a period of 50 years. The results showed a large technology gap ratio between the sample states of the country, ranging between 0.403 and 0.838. The study supported the view that the technology gap plays an important part in explaining the ability of agricultural sectors in one state to compete with agricultural sectors in others states in India. For calculating the efficiency results, the data envelopment analysis (DEA) was applied for the input-output data set.

Keywords


Agricultural Productivity, Data Envelopment Analysis, Metafrontier Function, Efficiency, Technology Gap

JEL Classification: N57, O47, O55, Q10

Paper Submission Date : February 15, 2015 ; Paper sent back for Revision : July 6, 2015 ; Paper Acceptance Date : August 9, 2015.




DOI: https://doi.org/10.17010/aijer%2F2015%2Fv4i5%2F82911