A stochastic frontier and corrected Ordinary Least Square models of determining technical efficiency of canal irrigated paddy farms in Tamil Nadu

Journal Title: Journal of Applied and Natural Science - Year 2017, Vol 9, Issue 2

Abstract

A comparative study between Stochastic frontier production function and corrected Ordinary Least Square (OLS) were estimated to determine technical efficiency in paddy production. Further, the study has assessed the effect of farm specific socio economic factors affecting the technical efficiency. This study was conducted in Cauvery delta zone of seven taluks about canal irrigation. The number of farmers in canal irrigated region about 109 from seven taluks is considered. The data were obtained from the cost of cultivation scheme of Tamil Nadu centre. The results of Cobb Douglas stochastic production function indicated that fertilizer, seed, pesticide and machine hours significantly influenced yield of paddy. The results also indicated that it will be highly profitable to increase the use of seed, and need to rationalize the labour use and pesticide usage. The effect of qualitative variable namely age and education of the farmer would indicate that the older farmers technical efficiency become less compared to the younger farmer, and also implying that investments on human capital take away their participation from agriculture. As a comparative study in general, COLS produced the lowest mean technical efficiency with 85 percent while the Stochastic frontier analysis produced the highest mean technical efficiency with 90 per cent.

Authors and Affiliations

R. Vasanthi, B. Sivasankari, J. Gitanjali

Keywords

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  • EP ID EP286342
  • DOI 10.31018/jans.v9i2.1253
  • Views 67
  • Downloads 0

How To Cite

R. Vasanthi, B. Sivasankari, J. Gitanjali (2017). A stochastic frontier and corrected Ordinary Least Square models of determining technical efficiency of canal irrigated paddy farms in Tamil Nadu. Journal of Applied and Natural Science, 9(2), 658-662. https://europub.co.uk/articles/-A-286342