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Greenhouse strawberry production in Iran, efficient or inefficient in energy

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Abstract

This paper attempts to identify origins of inefficient used resource for greenhouse strawberry production in Tehran. A nonparametric method, data envelopment analysis (DEA), was used to study the technical efficiency of producers with regard to effective energy utilization on strawberry yield. Data for the production of strawberries were collected from 25 greenhouses by using a face-to-face questionnaire method. Both constant and variable returns to scale DEA models were used to evaluate and rank technical efficiency of greenhouses based on four energy inputs: fertilizer, human labor, diesel fuel, and electricity. Pure technical efficiency specification shows that 10 greenhouses are producing at an efficient scale. The study has also helped to segregate efficient greenhouses from inefficient ones to get insights into the performance of individual producers, to identify wasteful uses of energy, and to suggest reasonable savings in energy uses from different sources. The results reveal that, on an average, about 16% of the total input energy could be saved if the producers follow the input package recommended by the study. The results of analysis show that DEA is a pivotal tool for analyzing productive efficiency of agricultural units.

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References

  • Acaroglu, M. (1998). Energy from biomass, and applications. University of Selcuk, Graduate School of Natural and Applied Sciences, Textbook.

  • Bailey, B. J. (1981). The evaluation of thermal screens in glasshouses on commercial nurseries. Acta Horticulturae, 115, 663–670.

    Google Scholar 

  • Banaeian, N., Omid, M. & Ahmadi, H. (2011). Energy and economic analysis of greenhouse strawberry production in Tehran province of Iran. Energy Conversion and Management, 52, 1020–1025.

    Google Scholar 

  • Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30, 1078–1092.

    Article  MATH  Google Scholar 

  • Buckman, H. C., & Brady, N. C. (1971). The nature and properties of soils. New York, p. 653.

  • Canakci, M., & Akinci, A. (2006). Energy use pattern analyses of greenhouse vegetable production. Energy, 31, 1243–1256.

    Article  Google Scholar 

  • Cetin, B., & Vardar, A. (2008). An economic analysis of energy requirements and input costs for tomato production in Turkey. Renew Energy, 33, 428–433.

    Article  Google Scholar 

  • Chandra, P., & Albright, L. D. (1980). Analytical determination of the effect on previous greenhouse heating requirements of using night curtains. Transactions of the ASAE, 23(4), 994–1000.

    Google Scholar 

  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.

    Article  MathSciNet  MATH  Google Scholar 

  • Chauhan, N. S., Mohapatra, P. K. J., & Pandey, K. P. (2006). Improving energy productivity in paddy production through benchmarking—an application of data envelopment analysis. Energy Conversion and Management, 47, 1063–1085.

    Article  Google Scholar 

  • Coelli, T. J. (1995). Recent developments in frontier modeling and efficiency measurement. Australian Journal of Agricultural Economics, 39, 219–245.

    Google Scholar 

  • Cooper, W. W., Li, S., Seiford, L. M., Tone, K., Thrall, R. M., & Zhu, J. (2001). Sensitivity and stability analysis in DEA: some recent developments. Journal of Productivity Analysis, 16, 31–47.

    Article  Google Scholar 

  • Cooper, L. M., Seiford, L. M., & Tone, K. (2006). Introduction to data envelopment analysis and its uses. New York: Springer.

    Google Scholar 

  • De, D., Singh, R. S., & Chandra, H. (2001). Technological impact on energy consumption in rainfed soybean cultivation in Madhya Pradesh. Applied Energy, 70, 193–213.

    Article  Google Scholar 

  • Djevica, M., & Dimitrijevic, A. (2009). Energy consumption for different greenhouse constructions. Energy, 34(9), 1325–1331.

    Article  Google Scholar 

  • Erdal, G., Esengun, K., Erdal, H., & Gunduz, O. (2007). Energy use and economical analysis of sugar beet production in Tokat province of Turkey. Energy, 32, 35–41.

    Article  Google Scholar 

  • Esengun, K., Erdal, G., Gunduz, O., & Erdal, H. (2007). An economic analysis and energy use in stake-tomato production in Tokat province of Turkey. Renew Energy, 32, 1873–1881.

    Article  Google Scholar 

  • Faidley, L. W. (1992). Energy and agriculture. In R. C. Fluck (Ed.), Energy in farm production (pp. 1–12). Amsterdam: Elsevier.

    Google Scholar 

  • Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120, 253–281.

    Article  Google Scholar 

  • Hancock, J. F. (1999). Strawberries (p. 237). Walinford: CAB international.

    Google Scholar 

  • Hatirli, S. A., Ozkan, B., & Fert, C. (2006). Energy inputs and crop yield relationship in greenhouse tomato production. Renewable Energy, 31, 427–438.

    Article  Google Scholar 

  • Hayami, Y., & Ruttan, V. W. (1985). Agricultural development: an international perspective (p. 506). Baltimore: John Hopkins press.

    Google Scholar 

  • Moazzen, A. A. (2009). Annual Agricultural Statistics. Ministry of Jihad-e-Agriculture of Iran. http://www.maj.ir.

  • Mohammadi, A., & Omid, M. (2010). Economical analysis and relation between energy inputs and yield of greenhouse cucumber production in Iran. Applied Energy, 87, 191–196.

    Article  Google Scholar 

  • Mohammadi, A., Tabatabaeefar, A., Shahin, S., Rafiee, S., & Keyhani, A. (2008). Energy use and economical analysis of potato production in Iran: a case study from Ardabil province. Energy Conversion and Management, 49, 3566–3570.

    Article  Google Scholar 

  • Najjar, A., & Hassan, A. (2008). Modeling of greenhouse with PCM energy storage. Energy Conversion and Management, 49(11), 3338–3342.

    Article  Google Scholar 

  • Nassiri, M. S., & Singh, S. (2009). Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique. Applied Energy, 86, 1320–1325.

    Article  Google Scholar 

  • Omid, M., Ghojabeig, F., Delshad, M., & Ahmadi, H. (2011). Energy use pattern and benchmarking of selected greenhouses in Iran using data envelopment analysis. Energy Conversion and Management., 52(1), 153–162.

    Article  Google Scholar 

  • Ozkan, B., Akcaoz, H., & Karadeniz, F. (2004a). Energy requirement and economic analysis of citrus production in Turkey. Energy Conversion and Management, 45, 1821–1830.

    Article  Google Scholar 

  • Ozkan, B., Kurklu, A., & Akcaoz, H. (2004b). An input–output energy analysis in greenhouse vegetable production: a case study for Antalya region of Turkey. Biomass Bioenergy, 26, 189–195.

    Google Scholar 

  • Ozkan, B., Fert, C., & Karadeniz, C. F. (2007). Energy and cost analysis for greenhouse and open-field grape production. Energy, 32, 1500–1504.

    Article  Google Scholar 

  • Ramanathan, R. (2001). Comparative risk assessment of energy supply technologies: a data envelopment analysis approach. Energy, 26, 197–203.

    Article  Google Scholar 

  • Roberts, W. J., Mears, D. R., Simpkins, J. C., & Cipolletti, J. P. (1981). Progress in movable blanket insulation systems for greenhouses. Acta Horticulturae, 115, 685–692.

    Google Scholar 

  • Seginer, I., & Albright Louis, D. (1980). Rational operation of previous greenhouse thermal curtains. Transactions of the ASAE, 23(5), 1240–1245.

    Google Scholar 

  • Seiford, L. M., & Thrall, R. M. (1990). Recent developments in DEA: the mathematical programming approach to frontier analysis. Journal of Econometrics, 46, 7–38.

    Article  MathSciNet  MATH  Google Scholar 

  • Shrestha, D. S. (1998). Energy use efficiency indicator for agriculture. http://www.usaskca/agriculture/caedac/PDF/mcrae.PDF. Accessed 10 Oct 2002.

  • Simar, L. (2003). Detecting outliers in frontiers models: a simple approach. Journal of Productivity Analysis, 20, 391–424.

    Article  Google Scholar 

  • Singh, H., Mishra, D., & Nahar, N. M. (2002). Energy use pattern in production agriculture of a typical village in Arid Zone India—part I. Energy Conversion and Management, 43(16), 2275–2286.

    Article  Google Scholar 

  • Singh, H., Mishra, D., Nahar, N. M., & Mohnot, R. (2003). Energy use pattern in production agriculture of a typical village in arid zone India: part II. Energy Conversion and Management, 44, 1053–1067.

    Article  Google Scholar 

  • Singh, G., Singh, S., & Singh, J. (2004). Optimization of energy inputs for wheat crop in Punjab. Energy Conversion and Management, 45, 453–465.

    Article  Google Scholar 

  • Stout, B. A. (1990). Handbook of energy for world agriculture. London: Elsevier Applied Science.

    Book  Google Scholar 

  • Yilmaz, I., Akcaoz, H., & Ozkan, B. (2005). An analysis of energy use and input costs for cotton production in Turkey. Renew Energy, 30, 145–155.

    Article  Google Scholar 

Download references

Acknowledgment

The financial support provided by the Research Department of University of Tehran, Iran, is duly acknowledged.

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Authors and Affiliations

  1. Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, School of Agriculture and Natural Resources, University of Tehran, Karaj, Iran

    Narges Banaeian, Mahmoud Omid & Hojat Ahmadi

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  1. Narges Banaeian
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  2. Mahmoud Omid
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  3. Hojat Ahmadi
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Correspondence to Mahmoud Omid.

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Banaeian, N., Omid, M. & Ahmadi, H. Greenhouse strawberry production in Iran, efficient or inefficient in energy. Energy Efficiency 5, 201–209 (2012). https://doi.org/10.1007/s12053-011-9133-7

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  • DOI: https://doi.org/10.1007/s12053-011-9133-7

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