Energy Efficiency Improvement and Input Energy Saving in Broiler Production, Using Data Envelopment Analysis Approach

Document Type : Research Paper

Author

Department of Agricultural Machinery and Mechanization Agricultural Engineering Research Institute (AERI), Agricultural Research Education and Extension Organization(AREEO), Karaj, Iran

Abstract

By increasing population and consequently increasing demand and improving the standard of living, energy use in the poultry industry has risen. The objective of this study was the application of non-parametric method of Data Envelopment Analysis (DEA) to analyze the efficiency of broiler producers, discriminate efficient producers from inefficient ones and to identify wasteful uses of energy in order to optimize the energy inputs for broiler production in Alborz province, Iran. Data were collected from 36 broiler producers by using questionnaire and face-to-face interview method. Technical Efficiency, Net Technical Efficiency, Scale Efficiency, and Target Energy Saving Index using Constant Return to Scale (CRS) and Variable Return to Scale (VRS) model based on six energy inputs including chicken, feed, fuel , electricity, machinery, human labor and 2 energy output included broiler and manure. Based on the CRS model, 8 poultry farms (22.22%) and 28 poultry farms (77.78%) of total 36 broiler producers were efficient and inefficient respectively. Also in the VRS model, 20 units (55.56%) were efficient and 16 units (44.44%) were inefficient. The average of TE, NTE and SE were 0.952, 0.987, and 0.964, respectively. The highest share of energy efficiency improvement of total energy saving was related to diesel fuel with 70.06% and then chicken feed and electricity with 23.50% and 6.64% respectively. Broiler producers had the most inefficiency in fuel consumption and had the least inefficiency in chicken use. The inadequacy of diesel consumption due to the coincidence of the incubation period with the cold period, the lack of proper management of consumption, especially in the heating system of salons and the use of diesel as heating fuel for worker houses. The results of this study indicate that there is good potential for increasing energy efficiency of broiler production in Alborz province by following the recommendations for efficient energy use.

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References

Almassi, M., Kiani, S. and Loveimi, N. (2008). Principle of Agricultural Mechanization. Jungle publications.304pp. (In Farsi)
Amid, S., Mesri Gundoshmian, T., Shahgholi, Gh. H. and Rafiei, S. (2016). Energy use pattern and optimization of energy required for broiler production, using data envelopment analysis. Information Technology in Agriculture, 3(2), 83–91.
Amid, S., Mesri Gundoshmian, T., Shahgholi, Gh. H. and Rahimian, B. (2014). Evaluation of efficiency energy consumption of broiler production farms using data envelopment analysis technique (DEA): (Case Study: City of Ardabil). The 8th National congress on Agriculture Machinery Engineering (Biosystem) & mechanization. Ferdowsi University of Mashhad. Mashhad. Iran. 4290-4301.
 Anon. (2013). Iran Statistical Yearbook. Agriculture, Forestry & Fisheries, Vol.5. Statistical Center of Iran (in Farsi)
Atilgan, A. and Hayati, K. (2006). Cultural energy analysis on broilers reared in different capacity poultry houses. Italian Journal of Animal Science, 5(4),393–400.
Avkiran, N. K. (2001). Investigating technical and scale efficiencies of Australian universities through data envelopment analysis. Socio-Economic Planning Sciences,35(1),57–80.
Bames, A. (2006). Does multi-functionality affect technical efficiency? A non-parametric analysis of the Scottish dairy industry. Journal of Environmental Management,80(4),287–294.
Banker, R., Charnes, A. and Cooper, W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science ,30(9),1078–1092.
Barnes, A. (2006). Does multi-functionality affect technical efficiency? A non-parametric analysis of the Scottish dairy industry. Journal of environmental management, 80(4),287–294.
Charnes, A., Cooper, W.W. and Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6),429–444.
Chaudhary, V.P., Gangwar, B. and Pandey, D.K. (2006). Auditing of Energy use and Output of Different Cropping Systems in India. Agricultural Engineering International, the CIGR E-journal EE 05001, Vol 8, 87-93
Cochran, W. G. (1977). Sampling Techniques, Third Edition. John Wiley & Sons, Inc. 428pp.
Cooper, W., Seiford, L.M. and Tone, K. (2007). Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software. New York: Springer.
Esfahani, J., and Balali, H. 2014. Application of Bounded Data Envelopment Analysis to Evaluate Efficiency of Broiler Firms (Case study: South Khorasan Province). Agricultural Economics & Development 28 (1): 45-54. (In Farsi)
Food and Agriculture Organization (FAO). (2013). Available from: http://www.fao.org.
Foutres, M.H. and Solgi, M. (2002). Measuring Efficiency and RTS in Broiler Production Units (Case Study in Hamadan Province). Agricultural Economics and Developments Journal,38,47-66. (In Farsi)
Galanopoulos, K., Aggelopoulos, S., Kamenidou, I. and Mattas, K. (2006). Assessing the effects of managerial and production practices on the efficiency of commercial pig farming. Agricultural Systems,88(2–3),125–141.
Ghahdarijani, M., Keyhani, A.R., Tabatabaeefar, A. and Omid, M. (2009). Evaluation and determination of energy consumption for potato production in various levels of cultivated areas in Isfahan province of Iran (Case study: western of Isfahan province). Journal of Agricultural Sciences and Natural Resources. Gorgan University of Agricultural Sciences and Natural Resources,16(1),183-195. (In Farsi)
Ghojabeige, F., Omid, M., Ahmadi, H. and Delshad, D. (2009). Evaluation and development of efficient usage of energy resources in cucumber production in green houses in province of Tehran, by using data envelopment analysis. The 6th National Conference on Agricultural Machinery Engineering and Mechanization. Agriculture and Natural resources faculty, University of Tehran, Iran. (In Farsi)
Hajee rahimi, M. and Karimi, A. (2009). Analysis of productivity factors in commercial poultry production (case study in Kordestan Province). Agricultural Economics and Developments Journal, 17(66),1-17. (In Farsi)
Hatirli, S. A., Ozkan, B. and Fert, K. (2005). An econometric analysis of energy input output in Turkish agriculture, Renewable and Sustainable Energy Reviews, 9(6), 608-623.
Heidari, M. D., Omid, M., Mobli, H. (2011a). Measuring efficiency and finding economical indices of poultry units in the province of Yazd by Data Envelopment Analysis and Artificial Neural Networks. M.Sc. thesis in agricultural Mechanization. Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran. (In Farsi)
Heidari, M. D., Omid, M., Akram, A. (2011b). Optimization of Energy Consumption of Broiler Production Farms using Data Envelopment Analysis Approach. Modern Applied Science, 5(3), 69–78.
Hu, J.L., Kao C.H. (2007). Efficient energy-saving targets for APEC economies. Energy Policy, 35 (1),373–82.
Jekayinfa, O. S. (2007). Energetic analysis of poultry processing operations. Leonardo Journal of Sciences, Issue 10, 77–92.
Kalhor, T., Rajabipour, A., Akram, A. and Sharifi, M. (2016). Environmental impact assessment of chicken meat production using life cycle assessment. Information Processing in Agriculture, 3:262–271.
Kilic, I. (2016). Analysis of the energy efficiency of poultry houses in the Bursa region of Turkey. Journal of Applied Animal Research,44(1), 165–172.
 Mousavi-Avval, S.H., Rafiee, S., Jafari, A. and Mohammadi, A. (2011a). Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach. Applied Energy, 88(11), 3756-3772.
Mousavi-Avval, S.H., Rafiee, S., Mohammadi, A. (2011b). Optimization of energy consumption and input costs for apple production in Iran using data envelopment analysis. Energy,36(2),909–916.
Naghibzadeh, S., Javadi, A., Rahmati, M. and Mehranzadeh, M. (2010). Process of assessing the energy consumption of poultry broiler in the northern region of Khuzestan province. 6th National Congress of Agricultural Machinery Engineering and Mechanization, Karaj, Iran: University of Tehran. (In Farsi)
Nassiri, S.M, Singh, S. (2009). Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique. Applied Energy, 86(7-8),1320–1325.
Payandeh, Z., Kheiralipour, K. and Karimi, M. (2016). Evaluation of energy efficiency of broiler production farms using data envelopment analysis technique, case study: Isfahan Province. Iranian Journal of Biosystems Engineering. 47(3),577-285.
Pourkand, S. and Motamed, K. (2011). Production yield analysis inthe poultry processing industry (A Case Study in Guilan). Journal of Agricultural Economics Researches, 3 (12),97-114. (In Farsi)
Sadrnia, H., Khojastehpour, M., Aghel, H. and  Saiedi Rashk Olya, A. (2017).Analysis of different inputs share and determination of energy Indices in broilers production in Mashhad city. Journal of Agricultural Machinery, 7 (1), 285-297. (In Farsi)
SarIca, K. and Or, I. (2007). Efficiency assessment of Turkish power plants using data envelopment analysis. Energy, 32(8), 1484–99.
Sefeedpari, P., Rafiee, S. and Akram, A. (2012). Selecting Energy Efficient Poultry Egg Producers: A Fuzzy Data Envelopment Analysis Approach. International Journal of Applied Operational Research Vol. 2, No. 2, 77-88.
Singh, S. and Mittal, J.P. (1992). Energy in Production Agriculture. Mittal Pub. New Dehli.
Vahedi, A. and Younesi Alamooti, M. 2017. Determining energy indices of broiler units in the province of Alborz. Agricultural Mechanization and Systems Research,17(67),41-54. (In Farsi)
Zhou, P., Ang, B.W., and Poh, K.L. (2008). A survey of data envelopment analysis in energy an environmental study. European Journal of Operational Research,189, 1-18.
Iranian Journal of Biosystems Engineering
Volume 50, Issue 2
September 2019
Pages 475-488

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History

  • Receive Date: 17 November 2018
  • Revise Date: 18 March 2019
  • Accept Date: 10 April 2019

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