IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v44y2012i1p1078-1084.html
   My bibliography  Save this article

Energy use efficiency and economic analysis of sugar beet production system in Iran: A case study in Khorasan Razavi province

Author

Listed:
  • Asgharipour, Mohammad Reza
  • Mondani, Farzad
  • Riahinia, Shahram

Abstract

The objectives of this study were to evaluate the energy consumption of inputs and outputs used in the sugar beet production system and to determine the relationship between energy inputs and yield in Iran. To achieve these objectives, data were collected from 153 sugar beet farms selected using a random sampling method. The total energy input was 42,231.9MJha−1, and approximately 29% and 22% were from total chemical fertilizers and irrigation water, respectively. Approximately 57% of the total energy inputs used in sugar beet production was direct energy, while the remaining 43% was indirect. Econometric assessment indicated that energy inputs of human labor, machinery, diesel fuel, total chemical fertilizers, farmyard manure, electricity, and irrigation water made significant contributions. Human labor (0.36) and machinery (0.22) energy were found to have the highest impacts on sugar beet production. Direct, indirect, renewable, and non-renewable energy forms had positive impacts on the output level. Economic analysis indicated that the total cost of sugar beet production was $2896.5ha−1. Energy use efficiency was 13.4, while the benefit-to-cost ratio was 1.3.

Suggested Citation

  • Asgharipour, Mohammad Reza & Mondani, Farzad & Riahinia, Shahram, 2012. "Energy use efficiency and economic analysis of sugar beet production system in Iran: A case study in Khorasan Razavi province," Energy, Elsevier, vol. 44(1), pages 1078-1084.
    • Handle: RePEc:eee:energy:v:44:y:2012:i:1:p:1078-1084
    DOI: 10.1016/j.energy.2012.04.023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544212003039
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2012.04.023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Taylor, A.E.B. & O'Callaghan, P.W. & Probert, S.D., 1993. "Energy audit of an English farm," Applied Energy, Elsevier, vol. 44(4), pages 315-335.
    2. Zangeneh, Morteza & Omid, Mahmoud & Akram, Asadollah, 2010. "A comparative study on energy use and cost analysis of potato production under different farming technologies in Hamadan province of Iran," Energy, Elsevier, vol. 35(7), pages 2927-2933.
    3. Pishgar-Komleh, S.H. & Sefeedpari, P. & Rafiee, S., 2011. "Energy and economic analysis of rice production under different farm levels in Guilan province of Iran," Energy, Elsevier, vol. 36(10), pages 5824-5831.
    4. Mohammadi, Ali & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Rafiee, Hamed, 2010. "Energy inputs – yield relationship and cost analysis of kiwifruit production in Iran," Renewable Energy, Elsevier, vol. 35(5), pages 1071-1075.
    5. Hamedani, Sara Rajabi & Shabani, Zeinab & Rafiee, Shahin, 2011. "Energy inputs and crop yield relationship in potato production in Hamadan province of Iran," Energy, Elsevier, vol. 36(5), pages 2367-2371.
    6. Beheshti Tabar, Iman & Keyhani, Alireza & Rafiee, Shaheen, 2010. "Energy balance in Iran's agronomy (1990-2006)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 849-855, February.
    7. Ghorbani, Reza & Mondani, Farzad & Amirmoradi, Shahram & Feizi, Hassan & Khorramdel, Surror & Teimouri, Mozhgan & Sanjani, Sara & Anvarkhah, Sepideh & Aghel, Hassan, 2011. "A case study of energy use and economical analysis of irrigated and dryland wheat production systems," Applied Energy, Elsevier, vol. 88(1), pages 283-288, January.
    8. Hatirli, Selim Adem & Ozkan, Burhan & Fert, Cemal, 2006. "Energy inputs and crop yield relationship in greenhouse tomato production," Renewable Energy, Elsevier, vol. 31(4), pages 427-438.
    9. Pishgar Komleh, S.H. & Keyhani, A. & Rafiee, Sh. & Sefeedpary, P., 2011. "Energy use and economic analysis of corn silage production under three cultivated area levels in Tehran province of Iran," Energy, Elsevier, vol. 36(5), pages 3335-3341.
    10. Unakitan, G. & Hurma, H. & Yilmaz, F., 2010. "An analysis of energy use efficiency of canola production in Turkey," Energy, Elsevier, vol. 35(9), pages 3623-3627.
    11. Rajabi Hamedani, Sara & Keyhani, Alireza & Alimardani, Reza, 2011. "Energy use patterns and econometric models of grape production in Hamadan province of Iran," Energy, Elsevier, vol. 36(11), pages 6345-6351.
    12. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach," Energy, Elsevier, vol. 36(5), pages 2765-2772.
    13. Heidari, M.D. & Omid, M., 2011. "Energy use patterns and econometric models of major greenhouse vegetable productions in Iran," Energy, Elsevier, vol. 36(1), pages 220-225.
    14. Heidari, M.D. & Omid, M. & Akram, A., 2011. "Energy efficiency and econometric analysis of broiler production farms," Energy, Elsevier, vol. 36(11), pages 6536-6541.
    15. Mohammadi, Ali & Omid, Mahmoud, 2010. "Economical analysis and relation between energy inputs and yield of greenhouse cucumber production in Iran," Applied Energy, Elsevier, vol. 87(1), pages 191-196, January.
    16. Rafiee, Shahin & Mousavi Avval, Seyed Hashem & Mohammadi, Ali, 2010. "Modeling and sensitivity analysis of energy inputs for apple production in Iran," Energy, Elsevier, vol. 35(8), pages 3301-3306.
    17. Banaeian, Narges & Zangeneh, Morteza, 2011. "Study on energy efficiency in corn production of Iran," Energy, Elsevier, vol. 36(8), pages 5394-5402.
    18. Esengun, Kemal & Erdal, Gülistan & Gündüz, Orhan & Erdal, Hilmi, 2007. "An economic analysis and energy use in stake-tomato production in Tokat province of Turkey," Renewable Energy, Elsevier, vol. 32(11), pages 1873-1881.
    19. Erdal, Gülistan & Esengün, Kemal & Erdal, Hilmi & Gündüz, Orhan, 2007. "Energy use and economical analysis of sugar beet production in Tokat province of Turkey," Energy, Elsevier, vol. 32(1), pages 35-41.
    20. Ozkan, Burhan & Akcaoz, Handan & Fert, Cemal, 2004. "Energy input–output analysis in Turkish agriculture," Renewable Energy, Elsevier, vol. 29(1), pages 39-51.
    21. Ramedani, Z. & Rafiee, S. & Heidari, M.D., 2011. "An investigation on energy consumption and sensitivity analysis of soybean production farms," Energy, Elsevier, vol. 36(11), pages 6340-6344.
    22. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach," Applied Energy, Elsevier, vol. 88(11), pages 3765-3772.
    23. Pahlavan, Reza & Omid, Mahmoud & Akram, Asadollah, 2011. "Energy use efficiency in greenhouse tomato production in Iran," Energy, Elsevier, vol. 36(12), pages 6714-6719.
    24. Hatirli, Selim Adem & Ozkan, Burhan & Fert, Cemal, 2005. "An econometric analysis of energy input-output in Turkish agriculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(6), pages 608-623, December.
    25. Alluvione, Francesco & Moretti, Barbara & Sacco, Dario & Grignani, Carlo, 2011. "EUE (energy use efficiency) of cropping systems for a sustainable agriculture," Energy, Elsevier, vol. 36(7), pages 4468-4481.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elahi, Ehsan & Weijun, Cui & Zhang, Huiming & Nazeer, Majid, 2019. "Agricultural intensification and damages to human health in relation to agrochemicals: Application of artificial intelligence," Land Use Policy, Elsevier, vol. 83(C), pages 461-474.
    2. Morteza Zangeneh & Narges Banaeian & Sean Clark, 2021. "Meta-Analysis on Energy-Use Patterns of Cropping Systems in Iran," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
    3. I.Fazrakhmanov & M. Lukyanova & V. Kovshov & A. Farrakhetdinova & J. Putyatinskaya, 2018. "Economic Assessment and Strategic Potential of Agro Industries: The Case of Sugar Industry," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 239-254.
    4. Eyni-Nargeseh, Hamed & Asgharipour, Mohammad Reza & Rahimi-Moghaddam, Sajjad & Gilani, Abdolali & Damghani, Abdolmajid Mahdavi & Azizi, Khosro, 2023. "Which rice farming system is more environmentally friendly in Khuzestan province, Iran? A study based on emergy analysis," Ecological Modelling, Elsevier, vol. 481(C).
    5. Firouzi, Saeed & Nikkhah, Amin & Aminpanah, Hashem, 2018. "Resource use efficiency of rice production upon single cropping and ratooning agro-systems in terms of bioethanol feedstock production," Energy, Elsevier, vol. 150(C), pages 694-701.
    6. Singh, Pritpal & Sandhu, Amarjeet Singh, 2023. "Energy budgeting and economics of potato (Solanum tuberosum L.) cultivation under different sowing methods in north-western India," Energy, Elsevier, vol. 269(C).
    7. Khojastehpour, Mehdi & Nikkhah, Amin & Hashemabadi, Davood, 2015. "A Comparative Study of Energy Use and Greenhouse Gas Emissions of Canola Production," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 5(1), March.
    8. Nikouei, Alireza & Asgharipour, Mohammad Reza & Marzban, Zahra, 2022. "Modeling land allocation to produce crops under economic and environmental goals in Iran: a multi-objective programming approach," Ecological Modelling, Elsevier, vol. 471(C).
    9. Soltani, Afshin & Rajabi, M.H. & Zeinali, E. & Soltani, Elias, 2013. "Energy inputs and greenhouse gases emissions in wheat production in Gorgan, Iran," Energy, Elsevier, vol. 50(C), pages 54-61.
    10. Sahar Safarian & Sorena Sattari & Runar Unnthorsson & Zeinab Hamidzadeh, 2019. "Prioritization of Bioethanol Production Systems from Agricultural and Waste Agricultural Biomass Using Multi-criteria Decision Making," Biophysical Economics and Resource Quality, Springer, vol. 4(1), pages 1-16, March.
    11. Elahi, Ehsan & Khalid, Zainab, 2022. "Estimating smart energy inputs packages using hybrid optimisation technique to mitigate environmental emissions of commercial fish farms," Applied Energy, Elsevier, vol. 326(C).
    12. Weremczuk, Arkadiusz & Malitka, Grzegorz, 2022. "Influence of Changes in the Prices of Fertilizers and Fuels on the Profitability of Production of Selected Agricultural Crops," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 22(3), September.
    13. Elahi, Ehsan & Weijun, Cui & Jha, Sunil Kumar & Zhang, Huiming, 2019. "Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards livestock sustainability," Energy, Elsevier, vol. 183(C), pages 191-204.
    14. Yuan, Shen & Peng, Shaobing & Wang, Dong & Man, Jianguo, 2018. "Evaluation of the energy budget and energy use efficiency in wheat production under various crop management practices in China," Energy, Elsevier, vol. 160(C), pages 184-191.
    15. Elsoragaby, Suha & Yahya, Azmi & Mahadi, Muhammad Razif & Nawi, Nazmi Mat & Mairghany, Modather, 2019. "Energy utilization in major crop cultivation," Energy, Elsevier, vol. 173(C), pages 1285-1303.
    16. Indrė Bručienė & Domantas Aleliūnas & Egidijus Šarauskis & Kęstutis Romaneckas, 2021. "Influence of Mechanical and Intelligent Robotic Weed Control Methods on Energy Efficiency and Environment in Organic Sugar Beet Production," Agriculture, MDPI, vol. 11(5), pages 1-17, May.
    17. Maestre-Valero, J.F. & Martin-Gorriz, B. & Nicolas, E. & Martinez-Mate, M.A. & Martinez-Alvarez, V., 2018. "Deficit irrigation with reclaimed water in a citrus orchard. Energy and greenhouse-gas emissions analysis," Agricultural Systems, Elsevier, vol. 159(C), pages 93-102.
    18. Aleksandra Dimitrijević & Marija Gavrilović & Sanjin Ivanović & Zoran Mileusnić & Rajko Miodragović & Saša Todorović, 2020. "Energy Use and Economic Analysis of Fertilizer Use in Wheat and Sugar Beet Production in Serbia," Energies, MDPI, vol. 13(9), pages 1-12, May.
    19. Unakıtan, Gökhan & Aydın, Başak, 2018. "A comparison of energy use efficiency and economic analysis of wheat and sunflower production in Turkey: A case study in Thrace Region," Energy, Elsevier, vol. 149(C), pages 279-285.
    20. Stanisław Bielski & Renata Marks-Bielska & Paweł Wiśniewski, 2022. "Investigation of Energy and Economic Balance and GHG Emissions in the Production of Different Cultivars of Buckwheat ( Fagopyrum esculentum Moench): A Case Study in Northeastern Poland," Energies, MDPI, vol. 16(1), pages 1-24, December.
    21. Hamed Rafiee & Milad Aminizadeh & Elham Mehrparvar Hosseini & Hanane Aghasafari & Ali Mohammadi, 2022. "A Cluster Analysis on the Energy Use Indicators and Carbon Footprint of Irrigated Wheat Cropping Systems," Sustainability, MDPI, vol. 14(7), pages 1-19, March.
    22. repec:ers:journl:v:volumexxi:y:2018:i:issue4:p:239-254 is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Elsoragaby, Suha & Yahya, Azmi & Mahadi, Muhammad Razif & Nawi, Nazmi Mat & Mairghany, Modather, 2019. "Energy utilization in major crop cultivation," Energy, Elsevier, vol. 173(C), pages 1285-1303.
    2. Elahi, Ehsan & Weijun, Cui & Jha, Sunil Kumar & Zhang, Huiming, 2019. "Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards livestock sustainability," Energy, Elsevier, vol. 183(C), pages 191-204.
    3. Barut, Zeliha Bereket & Ertekin, Can & Karaagac, Hasan Ali, 2011. "Tillage effects on energy use for corn silage in Mediterranean Coastal of Turkey," Energy, Elsevier, vol. 36(9), pages 5466-5475.
    4. Pishgar-Komleh, Seyyed Hassan & Keyhani, Alireza & Mostofi-Sarkari, Mohammad Reza & Jafari, Ali, 2012. "Energy and economic analysis of different seed corn harvesting systems in Iran," Energy, Elsevier, vol. 43(1), pages 469-476.
    5. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein & Rajaeifar, Mohammad Ali, 2014. "Application of artificial neural networks for prediction of output energy and GHG emissions in potato production in Iran," Agricultural Systems, Elsevier, vol. 123(C), pages 120-127.
    6. Houshyar, Ehsan & Azadi, Hossein & Almassi, Morteza & Sheikh Davoodi, Mohammad Javad & Witlox, Frank, 2012. "Sustainable and efficient energy consumption of corn production in Southwest Iran: Combination of multi-fuzzy and DEA modeling," Energy, Elsevier, vol. 44(1), pages 672-681.
    7. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Yousefi, Marziye & Movahedi, Mehran, 2013. "Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks," Energy, Elsevier, vol. 52(C), pages 333-338.
    8. Kazemi, Hossein & Bourkheili, Saeid Hassanpour & Kamkar, Behnam & Soltani, Afshin & Gharanjic, Kambiz & Nazari, Noor Mohammad, 2016. "Estimation of greenhouse gas (GHG) emission and energy use efficiency (EUE) analysis in rainfed canola production (case study: Golestan province, Iran)," Energy, Elsevier, vol. 116(P1), pages 694-700.
    9. Rajabi Hamedani, Sara & Keyhani, Alireza & Alimardani, Reza, 2011. "Energy use patterns and econometric models of grape production in Hamadan province of Iran," Energy, Elsevier, vol. 36(11), pages 6345-6351.
    10. Morteza Zangeneh & Narges Banaeian & Sean Clark, 2021. "Meta-Analysis on Energy-Use Patterns of Cropping Systems in Iran," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
    11. Rahman, Sanzidur & Rahman, Md. Sayedur, 2013. "Energy productivity and efficiency of maize accounting for the choice of growing season and environmental factors: An empirical analysis from Bangladesh," Energy, Elsevier, vol. 49(C), pages 329-336.
    12. Özgöz, Engin & Altuntaş, Ebubekir & Asiltürk, Murat, 2017. "Effects of soil tillage on energy use in potato farming in Central Anatolia of Turkey," Energy, Elsevier, vol. 141(C), pages 1517-1523.
    13. Tabatabaie, Seyed Mohammad Hossein & Rafiee, Shahin & Keyhani, Alireza & Heidari, Mohammad Davoud, 2013. "Energy use pattern and sensitivity analysis of energy inputs and input costs for pear production in Iran," Renewable Energy, Elsevier, vol. 51(C), pages 7-12.
    14. Stanisław Bielski & Renata Marks-Bielska & Paweł Wiśniewski, 2022. "Investigation of Energy and Economic Balance and GHG Emissions in the Production of Different Cultivars of Buckwheat ( Fagopyrum esculentum Moench): A Case Study in Northeastern Poland," Energies, MDPI, vol. 16(1), pages 1-24, December.
    15. Bojacá, Carlos Ricardo & Casilimas, Héctor Albeiro & Gil, Rodrigo & Schrevens, Eddie, 2012. "Extending the input–output energy balance methodology in agriculture through cluster analysis," Energy, Elsevier, vol. 47(1), pages 465-470.
    16. Hemmati, Abolfazl & Tabatabaeefar, Ahmad & Rajabipour, Ali, 2013. "Comparison of energy flow and economic performance between flat land and sloping land olive orchards," Energy, Elsevier, vol. 61(C), pages 472-478.
    17. Tabatabaie, Seyed Mohammad Hossein & Rafiee, Shahin & Keyhani, Alireza, 2012. "Energy consumption flow and econometric models of two plum cultivars productions in Tehran province of Iran," Energy, Elsevier, vol. 44(1), pages 211-216.
    18. Ghatrehsamani, Shirin & Ebrahimi, Rahim & Kazi, Salim Newaz & Badarudin Badry, Ahmad & Sadeghinezhad, Emad, 2016. "Optimization model of peach production relevant to input energies – Yield function in Chaharmahal va Bakhtiari province, Iran," Energy, Elsevier, vol. 99(C), pages 315-321.
    19. Elahi, Ehsan & Zhang, Zhixin & Khalid, Zainab & Xu, Haiyun, 2022. "Application of an artificial neural network to optimise energy inputs: An energy- and cost-saving strategy for commercial poultry farms," Energy, Elsevier, vol. 244(PB).
    20. Sara Ilahi & Yongchang Wu & Muhammad Ahsan Ali Raza & Wenshan Wei & Muhammad Imran & Lyankhua Bayasgalankhuu, 2019. "Optimization Approach for Improving Energy Efficiency and Evaluation of Greenhouse Gas Emission of Wheat Crop using Data Envelopment Analysis," Sustainability, MDPI, vol. 11(12), pages 1-16, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:44:y:2012:i:1:p:1078-1084. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.