Effect of ownership on energy use efficiency in watermelon farms - A DEA approach-

Effect of ownership on energy use efficiency in watermelon farms - A DEA approach-

The aims of this study were to determine the amount of input-output energy and exploring a non-parametric data envelopment analysis (DEA) technique which permits efficiency estimation to investigate the efficiency of watermelon farms under different farming technologies in Hamadan province, Iran. The population investigated was divided into two groups, Group II non-owner of land, machinery and low level of farming technology and Group I farms owner of land, machinery and high level of farming technology. Technical and pure technical efficiency of watermelon production was estimated 0.82 and 0.91. Frequency distribution of technical and pure technical efficiency represented farmers in Group II was more efficient. Separate analysis of groups and technical efficiency also followed same results for Group II, farms with high farming technology are more efficient and waste less source of energy. Present and target use of energy and energy saving of inefficient farms calculated. The results reveal that, on an average, in Group I and II about 68% and 28% of the total input energy could be saved respectively if the farmers follow the input package recommended by the study and farms with high technology can decrease waste of energy and costs and increase productive efficiency.

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  • A. Charnes and W.W. Cooper, “Preface to topics in data envelopment analysis,” in Annals of Operation Research, Netherlands, 1985, vol 2, pp 59–94.
  • Mohammadi, S. Rafiee, S.S. Mohtasebi and H. Rafiee, “Energy inputs-yield relationship and cost analysis of kiwifruit production in Iran,” in Renewable Energy, England, 2010, vol 35, 1071-1075.
  • Wani, D. Kaur, I. Ahmed and D.S. Sogi, “Extraction optimization of watermelon seed protein using response surface methodology” in LWT-Food Science and Technology, Netherlands, 2008, vol 41,1514–1520.
  • Anonymous, “Annual Agricultural Statistics. Ministry of Jihad-e-Agriculture of Iran,” 2010, Available from: http://www.maj.ir.
  • B.K. Sahoo, Economic applications of data envelopment analysis, PhD thesis, Humanities and Social Sciences, Indian Institute of Technology, Kharagpur, India, 1999,
  • C.K.A. Lovell, The measurement of productive efficiency, Oxford: Oxford University Press, 1993.
  • Food and Agriculture Organization (FAO), 2008, Available from: www.fao.org.
  • G.J. Piringer and L. Steinberg, “Reevaluation of energy use in wheat production in the United States,” in Journal of Industrial Ecology, United States, 2006, vol 10, pp149–167.
  • H. Kizilaslan, “Input–output energy analysis of cherries production in Tokat Province of Turkey,” in Applied Energy, England, 2009, vol 86, pp 1354-1358.
  • H. Singh, D. Mishra and N.M. Nahar, “Energy use pattern in production agriculture of a typical village in arid zone India—Part I” in Energy Conversion and Management, England, 2002, vol 43, pp 2275–2286.
  • I. Yilmaz, H. Akcaoz and B. Ozkan, “An analysis of energy use and input costs for cotton production in Turkey,” in Renewable Energy, England, 2005, vol 30, pp145-155.
  • J. Prohens and F. Nuez, Vegetables I. Handbook of Plant Breeding. Volume 1. Springer press, 2008, pp 381- 385.
  • J.K. Sengupta, “Efficiency measurement in non-market system through data envelopment analysis,” in International Journal of Systems Science, 1987, vol 18, pp 2279–2304.
  • K. Esengun, O. Gunduz and G. Erdal, “Input-output energy analysis in dry apricot production of Turkey,” in Energy Conversion and Management, England, 2007, vol 48, pp 592-598.
  • M. Acaroglu and A.S. Aksoy, “The cultivation and energy balance of Miscanthus giganteus production in Turkey,” in Biomass and Bioenergy, England, 2005, vol 29, pp 42-8.
  • M. Canakci, M. Topakci, I. Akinci and A. Ozmerzi, “Energy use pattern of some field crops and vegetable production: Case study for Antalya Region, Turkey,” in Energy Conversion and Management, England, 2005, vol 46, pp 655–666.
  • M. Zangeneh, M. Omid and A. Akram, “A comparative study on energy use and cost analysis of potato production under different farming technologies in Hamadan province of Iran,” in Energy, England, 2010, vol 35, pp 2927–2933.
  • M.J. Farrell and M. Fieldhouse, “Estimating efficient production under increasing return to scale,” in Journal of the Royal Statistical Society: Series A, United States, 1962, vol 25, n 2, pp 252–267.
  • M.J. Farrell, The measurement of productive efficiency, Journal of the Royal Statistical Society: Series A, United States, 1957, vol 120, n 3, pp 253–281.
  • M.S. Alam, M.R. Alam and K.K. Islam, “Energy flow in agriculture: Bangladesh,” in Am J Environ Sci, United States, 2005, vol 1, n 3, pp 213–220.
  • N. Banaeian, M. Omid and H. Ahmadi, “Application of Data Envelopment Analysis to Evaluate Efficiency of Commercial Greenhouse Strawberry,” in Research Journal of Applied Sciences, Engineering and Technology, England, 2011, vol 3, n 3, pp 185-193.
  • N.M. Malana and H.M. Malano, “Benchmarking productive efficiency of selected wheat areas in Pakistan and India - Data Envelopment Analysis,” in Irrigation and Drainage, England, 2006, vol 55, pp 383-394.
  • N.S. Chauhan, P.K.J. Mohapatra and K.P. Pandey, “Improving energy productivity in paddy production through benchmarking An application of data envelopment analysis,” in Energy Conversion and Management, England, 2006, vol 47, pp 1063-1085.
  • R.D. Banker, A. Charnes and W.W. Cooper, 1984, “Some models for estimating technical and scale efficiencies in data envelopment analysis,” in Management Science, United States, vol 30, pp1078–1092.
  • V. Demircan, K. Ekinci, H.M. Keener, D. Akbolat and C. Ekinci, Energy and economic analysis of sweet cherry production in Turkey: a case study from Isparta province, Energy Conversion and Management, England, 2006, vol 47, pp1761-1769.