Conservatism; Data envelopment analysis (DEA) method; Energy efficiency; Imprecise data; Optimization; Environmental Engineering; Engineering (miscellaneous)
Abstract :
[en] This paper aimed to identify the energy efficiency indices for rice producers in Golestan province, Iran. A non-linear Robust Data Envelopment Analysis (RDEA) model was applied based on seven energy inputs. The studied indices included energy efficiency, energy productivity, net energy efficiency, and water productivity. According to the results, all types of energy inputs and outputs were calculated 34,423.28 and 120,088.4 MJ/ha−1, respectively. Consumed nitrogen (29.9%), diesel (21.0%), and water for irrigation (20.5%) have the highest values of energy inputs. The results showed that at the level of conservatism Γ=7, half of the farmers are inefficient. The total optimum energy consumption was estimated to be 29,774 (MJ/ha−1), meaning that 10.01% of the input energy can be stored. Reducing energy waste can even improve the viability of rice farms and help them more control over energy consumption.
Disciplines :
Agriculture & agronomy
Author, co-author :
Mardani, Mostafa; Department of Agricultural Economics, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran
Sabouni, Mahmood; Department of Agricultural Economics, Ferdowsi University of Mashhad, Mashhad, Iran
Azadi, Hossein ; Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement ; Department of Geography, Ghent University, Ghent, Belgium
Taki, Morteza; Department of Agricultural Machinery and Mechanization Engineering, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran
Language :
English
Title :
Rice production energy efficiency evaluation in north of Iran; application of Robust Data Envelopment Analysis
Abdi, R., Taki, M., Akbarpour, M., An analysis of energy input-output and emissions of greenhouse gases from agricultural productions. Int. J. Nat. Eng. Sci. 6:3 (2012), 73–79, 10.1016/j.egyr.2016.05.007.
AghaAlikhani, M., Kazemi-Poshtmasari, H., Habibzadeh, F., Energy use pattern in rice production: a case study from Mazandaran province, Iran. Energy Convers. Manag. 69 (2013), 157–162, 10.1016/j.enconman.2013.01.034.
Alipour, A., Veisi, H., Darijani, F., Mirbagheri, B., Behbahani, A., Study and determination of energy consumption to produce conventional rice of the Guilan province. Res. Agric. Eng. 58:3 (2012), 99–106, 10.17221/8/2011-RAE.
Banaeian, N., Zangeneh, M., Omid, M., Energy use efficiency for walnut producers using Data Envelopment Analysis (DEA). Aust. J. Crop. Sci. 4:5 (2010), 359–362.
Bertsimas, D., Sim, M., The price of robustness. Oper. Res. 52:1 (2004), 35–53.
Charnes, A., Cooper, W.W., Rhodes, E., Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2:6 (1978), 429–444, 10.1016/0377-2217(78)90138-8.
Cooper, W.W., Park, K.S., Yu, G., IDEA and AR-IDEA: models for dealing with imprecise data in DEA. Manag. Sci. 45:4 (1999), 597–607, 10.1287/mnsc.45.4.597.
Cooper, W.W., Seiford, L.M., Tone, K., Introduction to Data Envelopment Analysis and its Uses: with DEA-Solver Software and References. 2006.
Egilmez, G., Gumus, S., Kucukvar, M., Tatari, O., A fuzzy data envelopment analysis framework for dealing with uncertainty impacts of input–output life cycle assessment models on eco-efficiency assessment. Journal of Cleaner Production 129 (2016), 622–636, 10.1016/j.jclepro.2016.03.111.
Elhami, B., Ghaseminejad, M., Taki, M., Marzban, A., Heidarisoltanabadi, M., Analysis and comparison of energy-economic-environmental cycle in two cultivation methods (seeding and transplanting) for onion production (case study: central parts of Iran). Renewable Energy 178 (2021), 875–890, 10.1016/j.renene.2021.06.117.
Esengun, K., Gündüz, O., Erdal, G., Input–output energy analysis in dry apricot production of Turkey. Energy Convers. Manag. 48:2 (2007), 592–598, 10.1016/j.enconman.2006.06.006.
Hormozi, M.A., Asoodar, M.A., Abdeshahi, A., Impact of mechanization on technical efficiency: a case study of rice farmers in Iran. Procedia Economics and Finance 1 (2012), 176–185, 10.1016/S2212-5671(12)00021-4.
Houshyar, E., Azadi, H., Almassi, M., Sheikh Davoodi, M.J., Witlox, F., Sustainable and efficient energy consumption of corn production in Southwest Iran: combination of multi-fuzzy and DEA modeling. Energy 44:1 (2012), 672–681, 10.1016/j.energy.2012.05.025.
Hu, J.L., Kao, C.H., Efficient energy-saving targets for APEC economies. Energy Policy 35:1 (2007), 373–382, 10.1016/J.ENPOL.2005.11.032.
Jehad-Keshavarzi Organization, O. o. S. a. I. T. Statistical Report of Irrigation Systems., 2016, Soil and Water Management Department, Iran https://irandataportal.syr.edu/ministry-of-agriculture.
Kazemi, H., Kamkar, B., Lakzaei, S., Badsar, M., Shahbyki, M., Energy flow analysis for rice production in different geographical regions of Iran. Energy 84 (2015), 390–396, 10.1016/j.energy.2015.03.005.
Khan, S., Khan, M., Latif, N., Energy requirements and economic analysis of wheat, rice and barley production in Australia. Soil and Environment 29:1 (2010), 61–68, 10.1063/1.4800207.
Mardani Najafabadi, M., Abdeshahi, A., Evaluating uncertainty of palm trees efficiency in ahvaz county: application of robust data envelopment approach and Monte Carlo simulation. Journal Of Agricultural Economics and Development 33:2 (2019), 191–204, 10.22067/jead2.v0i0.79050.
Mardani Najafabadi, M., Salarpour, M., Measuring technical efficiency of potato production in Iran using robust data envelopment analysis. Information Processing in Agriculture 2:1 (2015), 6–14, 10.1016/j.inpa.2015.01.002.
Mardani Najafabadi, M., Taki, M., Robust data envelopment analysis with Monte Carlo simulation model for optimization the energy consumption in agriculture. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2020, 1–15 https://org/10.1080/15567036.2020.1777221.
Mardani Najafabadi, M., Mirzaei, A., Abdeshahi, A., Azarm, H., Determining the efficiency of broiler chicken units in Sistan region, using interval data envelopment analysis and Mont Carlo simulation approach. Iranian Journal of Agricultural Economics and Development Research 51:2 (2020), 179–194, 10.22034/iaes.2019.115291.1730.
Mardani Najafabadi, M., Mirzaei, A., Ohadi, N., Investigating the rice energy efficiency using interval fuzzy data envelopment analysis model (case study: rice farmers in golestan province). Iranian Journal of Agricultural Economics and Development Research 51:4 (2020), 661–677, 10.22059/ijaedr.2020.283259.668772.
Mousavi-Avval, S.H., Rafiee, S., Jafari, A., Mohammadi, A., Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach. Applied Energy 88:11 (2011), 3765–3772, 10.1016/j.apenergy.2011.04.021.
Ozkan, B., Akcaoz, H., Karadeniz, F., Energy requirement and economic analysis of citrus production in Turkey. Energy Convers. Manag. 45:11 (2004), 1821–1830, 10.1016/j.enconman.2003.10.002.
Pashaei Kamali, F., Borges, J.A.R., Meuwissen, M.P.M., de Boer, I.J.M., Oude Lansink, A.G.J.M., Sustainability assessment of agricultural systems: the validity of expert opinion and robustness of a multi-criteria analysis. Agricultural Systems 157 (2017), 118–128, 10.1016/j.agsy.2017.07.013.
Pishgar-Komleh, S.H., Sefeedpari, P., Rafiee, S., Energy and economic analysis of rice production under different farm levels in Guilan province of Iran. Energy 36:10 (2011), 5824–5831, 10.1016/j.energy.2011.08.044.
Ranjbar, I., Ajabshirchi, Y., Taki, M., Ghobadifar, A., Energy consumption and modeling of output energy with MLP Neural Network for dry wheat production in Iran. Elixir Agriculture 62 (2013), 17949–17953, 10.1016/j.jssas.2014.05.001.
Sabouhi, M., Mardani, M., Linear robust data envelopment analysis: CCR model with uncertain data. International Journal of Productivity and Quality Management 22:2 (2017), 262–280, 10.1504/IJPQM.2017.086369.
Shokouhi, A.H., Hatami-Marbini, A., Tavana, M., Saati, S., A robust optimization approach for imprecise data envelopment analysis. Computers & Industrial Engineering 59:3 (2010), 387–397, 10.1016/j.cie.2010.05.011.
Taki, M., Yildizhan, H., Evaluation the sustainable energy applications for fruit and vegetable productions processes; case study: greenhouse cucumber production. J. Clean. Prod. 199 (2018), 164–172, 10.1016/j.jclepro.2018.07.136.
Taki, M., Rohani, A., Soheili-Fard, F., Abdeshahi, A., Assessment of energy consumption and modeling of output energy for wheat production by neural network (MLP and RBF) and Gaussian process regression (GPR) models. Journal of Cleaner Production 172 (2018), 3028–3041, 10.1016/j.jclepro.2017.11.107.
Taki, M., Soheili-Fard, F., Rohani, A., Chen, G., Yildizhan, H., Life cycle assessment to compare the environmental impacts of different wheat production systems. J. Clean. Prod. 197 (2018), 195–207, 10.1016/j.jclepro.2018.06.173.
Tone, K., Cooper, W.W., Seiford, L.M., Zhu, J., Handbook on Data Envelopment Analysis. 2011, Springer US.
Unakitan, G., Hurma, H., Yilmaz, F., An analysis of energy use efficiency of canola production in Turkey. Energy 35:9 (2010), 3623–3627, 10.1016/j.energy.2010.05.005.
Yildizhan, H., Taki, M., Sustainable management and conservation of resources for different wheat production processes; cumulative exergy consumption approach. Int. J. Exergy 28:4 (2019), 404–422, 10.1504/IJEX.2019.099295.
Yuan, S., Peng, S., Input-output energy analysis of rice production in different crop management practices in central China. Energy 141 (2017), 1124–1132, 10.1016/j.energy.2017.10.007.
