Published September 13, 2020 | Version v1
Journal article Open

STOCHASTIC FRONTIER ANALYSIS FOR MEASURING TECHNICAL EFFICIENCY OF NEEM COATED UREA : EVIDENCE FROM NORTH INDIA

  • 1. Amity University
  • 2. Delhi School of Economics
  • 3. Amity School of Economics
  • 4. COAN Agriculture University Jodhpur

Description

 This study1 depicts level of efficiencies of the techiniques applied by mustard farmers after implication of Neem Coated Urea (NCU) in different agro-climatic zones of Punjab and Haryana (North-Western) States of India. The Stochastic Frontier Model (with half-normal distribution) under ad-hoc truncation was used to estimate the Technical Efficiency (T.E.) The Propensity of Yield under Score Match method (PYSM) was applied to trace the role of treated NCU and other type of Urea (NCU-NT) or Farm Yard Manure (FYM). A total of 300 farmers, comprising 150 users of NCU and remaining were using other Urea, randomly selected from six districts of the studied zones. Farm-size, seeds, types of fertilizer and irrigation had significantly positive effect, labor and pesticides had insignificant negative effect on mustard yield. Farmers who used NCU were found more technically efficient than who used Urea. The T.E. level of users of NCU was found 0.228 means about 22.8 per cent and for Urea (NCU-NT) it was found 0.181 means 18.1 per cent both were at 10 per cent statistical significance level for the PYSM for mustard crops. This means farmers who are using Urea is less efficient by 4.7 per cent than those who are using NCU. A significant difference of about 16 per cent in T.E. was observed in mean estimates of technical efficiencies for NCU and Urea, which were about 64 per cent and 48 per cent respectively, under stochastic measures with an inverse count of probability weights for mustard yield. This gap in T.E. is held responsible for a significant effect on farmers income. Therefore, this study has a clear recommendation that awareness to use NCU among mustard growers should be encouraged.

Files

361-371__2048_.pdf

Files (230.2 kB)

Name Size Download all
md5:28efbdd19327955613c67ef42dbed5c6
230.2 kB Preview Download

Additional details

References

  • Abdulai, S., A. Zakariah and S.A. Donkoh (2018). Adoption of rice cultivation technologies and its effect on technical efficiency in Sagnarigu District of Ghana. Cogent Food & Agriculture, 4(1), 1-14.
  • Aigner, D., C.A.K. Lovell and P. Schmidt (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21-37.
  • Battese, G.E. and T.J. Coelli (1995). A model for technical inefficiency effects in a stochastic frontier prod. function for panel data. Empirical Economics, 20(2), 325-332.
  • Birthal, P.S., J. Hazrana and D.S. Negi (2019). A multilevel analysis of drought risk in Indian agriculture: implications for managing risk at different geographical levels. Climatic Change, 157, 499-513.
  • Birthal, P.S., J. Hazrana and D.S. Negi (2020). Diversification in Indian agriculture towards high value crops: Multilevel determinants and policy implications. Land Use Policy, 91, 104427.
  • Chavas, J.P., R. Petrie and M. Roth (2005). Farm household production efficiency: Evidence from the Gambia. American Journal of Agril. Economics, 87(1), 160-179.
  • Chen, Z. and S. Song (2008). Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis. China Economic Review, 19(2), 287-296.
  • Dagar, V., M. Bhattacharjee and P. Jit (2018). Analysis of Technical Efficiency in Mustard Production in Different Agro-Climatic Zones of Haryana and Punjab. Economic Affairs, 63(4), 905-915.
  • Fare, R., R. Grabowski and S. Grosskopf (1985). Tech. eff. of Philippine agri. Applied Economics, 17(2), 205-214.
  • Farrell, M.J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253-290
  • Hotz, C., C. Loechl, A. De Brauw, P. Eozenou, D. Gilligan, M. Moursi and J.V. Meenakshi (2012). A large-scale intervention to introduce orange sweet potato in rural Mozambique increases vitamin A intakes among children and women. British Journal of Nutrition, 108(1), 163- 176.
  • Kumbhakar, S.C. (1987). The specification of technical and allocative inefficiency in stochastic production and profit frontiers. Journal of Econometrics, 34(3), 335-348.
  • Laha, A. and W. Bengal (2013). Technical Efficiency in Agricultural Production and Access To Credit in West Bengal, India: a Stochastic Frontier Approach. International Journal of Food and Agricultural Economics, 1(2), 53-64.
  • Sekhar, C.S.C. (2012a). Agril. market integration in India: An analysis of select commodities. Food Policy, 37(3), 309- 322.
  • Sekhar, C.S.C., D. Roy and Y. Bhatt (2018). Food inflation and volatility in India: trends and determinants. Indian Economic Review, 53(1-2), 65-91.
  • Stevenson, R.E. (1980). Likelihood Func. for Generalize Stoch. Front. Estin., Journal of Econometrics, 13, 57-66.
  • Thiam, A., B.E. Bravo-Ureta and T.E. Rivas (2001). Technical efficiency in developing country agriculture: a meta- analysis. Agricultural Economics, 25(2-3), 235-243.