Determining the efficiency and optimization of energy consumption in dryland wheat production under uncertainty conditions: A case study of Khoy County

Document Type : Research Paper

Authors

1 Associate Professor, Department of Agricultural Economics, Faculty of Agricultural Engineering and Rural Development, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran

2 Graduated Ph.D. of Agricultural Economics, Ph.D. in Agricultural Economics, Sistan and Baluchestan University, Iran

Abstract

In recent decades, along with other factors of production, energy has played a decisive role in the economic growth of countries. But high levels of energy intensity have negative effects on the environment. Therefore, attention to energy efficiency and optimization discussion shows its importance. The aim of this study is investigate the efficiency and optimization of energy consumption of dryland wheat in Khoy under uncertainty. The data used in this study was collected through a face to-face questionnaire method with 192 dry land wheat farmer in year 2019. The results showed that the total input energy is 20137.06 MJ h-1, the highest amount is related to the diesel-fuel (58.12%), seeds (15.40%) and machinery (14.15%), respectively. The total energy output was 47966.42 MJ h-1 and energy efficiency indicators for the constant returns to scale and variable returns to scale model are 5.6 and 2.5, respectively. By applying these parameters, the total optimum energy for the models presented were calculated 8565.3 and 18726.47 MJ h-1, respectively. It means that we can reduced 53.7% and 7% energy consumption in the production of this product. In the region under study, wheat production is mainly related to non-renewable resources (83%), which it is a serious risk to human health and environmental pollution. For example, at a level of conservatism of 7 (Γ = 7) in the CRS model, 57.3% of total energy consumption and 64.8% of fuel consumption can be reduced, which indicates the inefficiency of farmers. Therefore, the use of mechanized equipment to reduce fuel consumption and reduce the applying of labor for threshing is recommended.

Keywords


  1. Abdeshahi, A., Mardani Najafabadi, M. & Zeinali, M. (2020). Determining the Optimal Cropping Pattern of Agricultural Crops in Mollasani Coumty of Iran: Application of Robust Multi-Objective Optimization Model. Agricultural Economics and Development. 28(111),175-203. (In Farsi)
  2. Ahmad Z. & Jun M. (2015). Agricultural Production Structure Adjustment Scheme Evaluation and Selection Based on DEA Model for Punjab (Pakistan). Journal of Northeast Agricultural University (English Edition). 22:87-91.
  3. Ajabshirchi, Y., Taki, M., Abdi, R., Ghobadifar, A. & Ranjbar, I. (2011). Investigation of Energy Use Efficiency for Dry Wheat Production Using Data Envelopment Analysis (DEA) Approach; Case Study: Silakhor Plain. Journal of Agricultural Machinery. 1(2),122-132. (In Farsi)
  4. Bartlett J.E., Kotrlik J.W. and Higgins C.C. (2001). Organizational Research: Determining Appropriate Sample Size in Survey Research. Information Technology, Learning, and Performance Journal. 19,43-50.
  5. Bertsimas D. and Sim M. 2004. The price of robustness. Operations Research. 52, 35–53.
  6. Despotis, D.K., Maragos E.K. and Smirlis Y.G. 2006. Data Envelopment Analysis with Missing Values: An Interval DEA Approach. European Journal of Operational Research.140, 24–36.
  7. Fathi, R., Amjadpor, F., Kouchakzadeh, A. and Azizpanah, A. (2018). The pattern and efficiency of energy use for wheat production by data envelopment analysis, case study: Chardavol Township, Ilam Province. Journal of Dryland Agricultural. 7(1), 33-46. (In Farsi)
  8. Ghorbani, R., Mondani, F., Amirmoradi, S., Feizi, H., Khorramdel, S., Teimouri, M. & Aghel, H. (2011). A Case study of Energy Use and Economical Analysis of Irrigated and Dryland Wheat Production Systems. Applied Energy. 88(1), 283-288. (In Farsi)
  9. Hormozi, M. A., Asoodar, M. A., Abdeshahi, A., & Baruah, D. C. (2013). The Role of Water Pumping in Energy Efficiency of Rice Cropping Systems in Khuzestan Province, Iran. International Journal of Agriculture. 3(1), 96 (In Farsi).
  10. Khan M.A., Singh G. (1996). Energy Inputs and Crop Produc‌tion in Western Pakistan. Energy. 21, 45–53.
  11. Khan M.A., Ahmad S., Hussain Z., Yasin M., Aslam M. & Majid R. (2004). Efficiency of Water and Energy Use for Pro‌duction of Organic Wheat. Journal of Science, Technology and Development, 24, 25–29.
  12. Kitani, O. (1999). CIGR Handbook of Agricultural Engineering. Vol. V, Energy and Biomass Engineering, ASAE Publication, ST Joseph.
  13. Kordoni, F., Jamialahmadi, M. & Bakhshi, M.R. 2018. Economic analysis of energy use in cereal production of IRAN (Case study: wheat, barley, corn, rice). Journal of Agricultural Economics Research. 10(37), 133-148. (In Farsi).
  14. Maleki, A., Yousefi, F. & Norouzi, M. (2013). Evaluation of Energy Efficiency and Analysis of Energy Consumption and Production of Wheat in Ilam Province. In: First National Conference on Sustainable Agricultural Development and Healthy Environment, Hamedan, Iran, 26 February 2013, 1-10. (In Farsi)
  15. Mandal, K. G., Saha, K. P., Ghosh, P. K., Hati, K. M. & Bandyopadhyay, K. K. 2002. Bioenergy and Economic Analysis of Soybean-Based Crop Production Systems in Central India. Biomass and Bioenergy. 23(5), 337-345.
  16. Mardani Najafabadi, M., Sargazi, A. and Sabouhi, M. (2013). Determination of the Efficiency of Sistan wheat Farms Using Incorporation Optimization Model with Degree of Conservatism Control Parameters and Data Envelopment Analysis (RDEA). Journal of Agricultural Economics and Development. 27(3), 180-187. (In Farsi)
  17. Mardani Najafabadi, M. & Salarpour, M. (2015). Measuring Technical Efficiency of Potato Production in Iran Using Robust Data Envelopment Analysis. Information Processing in Agriculture. 2(1), 6-14. (In Farsi)
  18. Mardani Najafabadi, M. and Abdeshahi, A. (2019). Evaluating Uncertainty of Palm Trees Efficiency in Ahvaz County: Application of Robust Data Envelopment Analysis Approach and Monte Carlo Simulation. Journal of Agricultural Economics and Development. 33(2), 191-204(In Farsi).
  19. Mardani Najafabadi, M., Abdeshahi, A., Ghorbani, M. R. & Zebari, Y. (2019). Evaluating the Ability of Interval Fuzzy and Robust Data Envelopment Analysis Models to determine the efficiency of Broiler Chicken Breeding Units in Khuzestan Province. Agricultural Economics. 13(3), 29-56. (In Farsi)
  20. Mardani Najafabadi, M., Abdeshahi, A., Forouzani, M. and Zeinali, M. (2019). Determining the Efficiency of Great Karun Irrigation and Drainage Networks Using Data Envelopment Analysis Method with Conservatism Control Parameters. Irrigation and Drainage Structures Engineering Research. 20(76), 37-56. (In Farsi)
  21. Mardani Najafabadi, M. and Taki, M. (2020). 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, 1-15. (In Farsi)
  22. Mardani Najafabadi. M., Mirzaei, A. & Ohadi, N. (2021). 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. 2-51(4),661-677. (In Farsi)
  23. Ministry of Agriculture Jihad. (2019). Agricultural Statistics of West Azerbaijan Province.
  24. Molaei, K., Keyhani, A., Karimi, M., Kheiralipour, K. & Ghasemi. (2009). Energy Ratio in Dryland Wheat - Case Study: Eghlid Township. Journal of Biosystem Engineering. 39(1), 13-19. . (In Farsi)
  25. Mousavi-Avval, S. H., Rafiee, S., Jafari, A. & Mohammadi, A. (2011). Optimization of Energy Consumption for Soybean Production Using Data Envelopment Analysis (DEA) Approach. Applied Energy. 88(11), 3765-3772.
  26. Ohadi, N., Akbari, A & Shahraki, J. (2015). Data envelopment analysis method usage for efficiency determination of pistachio growers in Sirjan. Iranian Journal of Agricultural Economics and Development Research. 46(1), 51-60. . (In Farsi)
  27. Ohadi, N., Shahraki, J., Pahlavani, M. & Mardani Najafabadi, M. (2018). Energy-environmental efficiency and effective factors in oil-rich countries. The Journal of Planning and Budgeting. 23(1), 79-96. (In Farsi)
  28. Ohadi, N., Shahraki, J., Pahlavani, M. & Mardani Najafabadi, M. (2019). Evaluating and Ranking of Environmental Efficiency of Oil-Rich Countries. Economic Development Policy. 6(2), 124-146. (In Farsi)
  29. Pervanchon, F., Bockstaller, C. & Girardin, P. (2002). Assessment of energy use in arable farming systems by means of an agro-ecological indicator: the energy indicator. Agricultural systems, 72(2), 149-172.
  30. Safa, M. & Tabatabaeefar., A. (2002). Energy Consumption in Wheat Production in Irrigated and dry land Farming. In Proc. Intl. Agric. Engg. Conf., Wuxi, China. 28-30. (In Farsi)
  31. Shahan, S., Jafari, A., Mobli, H., Rafiee, S. & Karimi, M. (2008). Energy use and Economical Analysis of Wheat Production in Iran: A Case Study from Ardabil Province. Journal of Agricultural Technology, 4(1), 77-88. (In Farsi)
  32. Shokouhi, A. H., Hatami-Marbini, A., Tavana, M. & Saati, S. (2010). A Robust Optimization Approach for Imprecise Data Envelopment Analysis. Computers & Industrial Engineering. 59(3), 387-397.
  33. Singh, S., Verma S.R. & Mittal, J.P. (1997). Energy Require‌ments for Production of Major Crops in India. Agricultural Mechanization in Asia, Africa, and Latin America, 28: 13–27
  34. Taleghani, A. (2011). Evaluation of Efficiency Irrigated Wheat Farming in Khorasan-Razavi Province. Journal of Research in Crop Sciences. 4, 51-63.(In Farsi).
  35. Yazdani, S., Taheri Rikande, A., Mohamadian, F. & Norouzi, H. (2017). Diversity of activity, A Strategy to Promote Energy Productivity in Agriculture (Causality analytical approaches Toda - Yamamoto and Bounds test). Iranian Journal of Agricultural Economics and Development Research. 48(4), 547-729. (In Farsi)