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Meta-Analysis on Energy-Use Patterns of Cropping Systems in Iran

Author

Listed:
  • Morteza Zangeneh

    (Department of Agricultural Mechanization Engineering, Faculty of Agricultural Sciences, University of Guilan, Rasht 4199613776, Iran)

  • Narges Banaeian

    (Department of Agricultural Mechanization Engineering, Faculty of Agricultural Sciences, University of Guilan, Rasht 4199613776, Iran)

  • Sean Clark

    (Department of Agriculture and Natural Resources, Berea College, Berea, KY 40404, USA)

Abstract

We present a meta-analysis of energy-consumption and environmental-emissions patterns in Iranian cropping systems using data collected from articles published between 2008 and 2018 for 21 different crops. The results show that the crops consuming the most energy per hectare are tomato, sugarcane, cucumber and alfalfa, while sunflower consumed the least. The average total energy input for all crops in Iran during the study period was 48,029 MJ ha −1 . Our analysis revealed that potato has the highest potential to reduce energy consumption and that electricity and fertilizer inputs have the most potential for energy savings in cropping systems. Not all studies reviewed addressed the factors that create energy consumption patterns and environmental emissions. Therefore, eight indicators were modeled in this meta-analysis, which include Total Energy Input, Energy Productivity, Energy Use Efficiency, Net Energy, Greenhouse Gas Emissions, Technical Efficiency, Pure Technical Efficiency and Scale Efficiency. The effects of region (which was analyzed in terms of climate), year and crop or product type on these eight indicators were modeled using meta-regression and the nonparametric Kruskal–Wallis test. To create a comprehensive picture and roadmap for future research, the process of the agricultural-systems analysis cycle is discussed. This review and meta-analysis can be used as a guide to provide useful information to researchers working on the energy dynamics of agricultural systems, especially in Iran, and in making their choices of crop types and regions in need of study.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3868-:d:527715
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Panpan Diao & Zhonggen Zhang & Zhenyong Jin, 2018. "Dynamic and static analysis of agricultural productivity in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(2), pages 293-312, May.
    4. Ito, Junichi, 2010. "Inter-regional difference of agricultural productivity in China: Distinction between biochemical and machinery technology," China Economic Review, Elsevier, vol. 21(3), pages 394-410, September.
    5. 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.
    6. 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.
    7. John M. Antle & Srabashi Ray, 2020. "Sustainable Agricultural Development," Palgrave Studies in Agricultural Economics and Food Policy, Palgrave Macmillan, number 978-3-030-34599-0, November.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Nabavi-Pelesaraei, Ashkan & Hosseinzadeh-Bandbafha, Homa & Qasemi-Kordkheili, Peyman & Kouchaki-Penchah, Hamed & Riahi-Dorcheh, Farshid, 2016. "Applying optimization techniques to improve of energy efficiency and GHG (greenhouse gas) emissions of wheat production," Energy, Elsevier, vol. 103(C), pages 672-678.
    15. 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.
    16. Pishgar-Komleh, Seyyed Hassan & Omid, Mahmoud & Heidari, Mohammad Davoud, 2013. "On the study of energy use and GHG (greenhouse gas) emissions in greenhouse cucumber production in Yazd province," Energy, Elsevier, vol. 59(C), pages 63-71.
    17. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Mohammadi, Ali, 2011. "Optimization of energy consumption and input costs for apple production in Iran using data envelopment analysis," Energy, Elsevier, vol. 36(2), pages 909-916.
    18. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein, 2013. "Applying data envelopment analysis approach to improve energy efficiency and reduce GHG (greenhouse gas) emission of wheat production," Energy, Elsevier, vol. 58(C), pages 588-593.
    19. Eskandari, Hamdollah & Attar, Sajjad, 2015. "Energy comparison of two rice cultivation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 666-671.
    20. Nabavi-Pelesaraei, Ashkan & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Hosseinzadeh-Bandbafha, Homa & Chau, Kwok-wing, 2019. "Assessment of optimized pattern in milling factories of rice production based on energy, environmental and economic objectives," Energy, Elsevier, vol. 169(C), pages 1259-1273.
    21. 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.
    22. Houshyar, Ehsan & Grundmann, Philipp, 2017. "Environmental impacts of energy use in wheat tillage systems: A comparative life cycle assessment (LCA) study in Iran," Energy, Elsevier, vol. 122(C), pages 11-24.
    23. Mohammadi, Ali & Rafiee, Shahin & Jafari, Ali & Keyhani, Alireza & Mousavi-Avval, Seyed Hashem & Nonhebel, Sanderine, 2014. "Energy use efficiency and greenhouse gas emissions of farming systems in north Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 724-733.
    24. 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.
    25. John M. Antle & Srabashi Ray, 2020. "Sustainability of Agricultural Systems," Palgrave Studies in Agricultural Economics and Food Policy, in: Sustainable Agricultural Development, chapter 3, pages 43-94, Palgrave Macmillan.
    26. Samavatean, Naeimeh & Rafiee, Shahin & Mobli, Hossein & Mohammadi, Ali, 2011. "An analysis of energy use and relation between energy inputs and yield, costs and income of garlic production in Iran," Renewable Energy, Elsevier, vol. 36(6), pages 1808-1813.
    27. 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.
    28. Taheri-Rad, Alireza & Khojastehpour, Mehdi & Rohani, Abbas & Khoramdel, Surur & Nikkhah, Amin, 2017. "Energy flow modeling and predicting the yield of Iranian paddy cultivars using artificial neural networks," Energy, Elsevier, vol. 135(C), pages 405-412.
    29. Narges Banaeian & Morteza Zangeneh & Sean Clark, 2020. "Trends and Future Directions in Crop Energy Analyses: A Focus on Iran," Sustainability, MDPI, vol. 12(23), pages 1-23, November.
    30. 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.
    31. Tabatabaeefar, A. & Emamzadeh, H. & Varnamkhasti, M. Ghasemi & Rahimizadeh, R. & Karimi, M., 2009. "Comparison of energy of tillage systems in wheat production," Energy, Elsevier, vol. 34(1), pages 41-45.
    32. Shamshirband, Shahaboddin & Khoshnevisan, Benyamin & Yousefi, Marziye & Bolandnazar, Elham & Anuar, Nor Badrul & Abdul Wahab, Ainuddin Wahid & Khan, Saif Ur Rehman, 2015. "A multi-objective evolutionary algorithm for energy management of agricultural systems—A case study in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 457-465.
    33. 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.
    34. Hongyun Han & Shu Wu, 2018. "Structural Change and Its Impact on the Energy Intensity of Agricultural Sector in China," Sustainability, MDPI, vol. 10(12), pages 1-23, December.
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