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Ranking production units by integrating data envelopment analysis and multi-criteria decision-making: The case of potato-producing provinces in Iran | ||
| Iran Agricultural Research | ||
| مقاله 6، دوره 41، شماره 1، 2022، صفحه 49-60 اصل مقاله (1007.69 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22099/iar.2022.42629.1473 | ||
| نویسندگان | ||
| S.M. J Esfahani* ؛ E Barikani | ||
| Agricultural Planning, Economic and Rural Development Research Institute (APERDRI), Tehran, I. R. Iran | ||
| چکیده | ||
| Efficiency is the first step towards accomplishing sustainable agriculture. To provide a comprehensive image of the status of potato-producing provinces in Iran, this research was conducted to rank potato-producing provinces in Iran using the DEA ranking models, including cross-efficiency, super efficiency, best and worst relative efficiency, and distance to the ideal hyperplane. Then to provide a more comprehensive image of their status, the results were integrated using the TOPSIS technique for 2018. In this regard, the research considered yield and gross profit as indicators of production and profitability. The results showed that considering yield as an output shows higher efficiency than when profit is considered. Higher yield efficiency than profit efficiency means that producers care more about increasing production as an objective output than increasing profitability. The rankings of the provinces revealed that different ranking models do not provide similar results, so they need to be integrated to give a more precise assessment. The integration of these indicators by the TOPSIS method shows that the provinces of Mazandaran, Kerman and West Azerbaijan, which have good ranks in yield and profit efficiency, can be good patterns for other provinces. Furthermore, profit and yield efficiency are negatively related to seed, K-fertilizer, and pesticide, so the management of biofertilizers, as well as biological control and integrated pest management, are recommended for the improvement of the efficiency of potato-producing provinces. | ||
| کلیدواژهها | ||
| Data Envelopment Analysis؛ Efficiency؛ Potato؛ TOPSIS | ||
| مراجع | ||
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Aghayi, N., Hosseinzadeh Lotfi, F., Gholami, K., & Ghelej Beigi, Z. (2018). Ranking and sensitivity analysis for ranks of DMUs based on the ideal hyperplan. Journal of Operational Research and Its Applications, 15(2), 125-133. In persian. Amadeh, H., Emami Meibodi, A., & Azadinezhad, A. (2011). Ranking the Iranian provinces by technical efficiency of industrial sector by applying DEA method. Monetary & Financial Economics, 16(29), 162-180.In persian. https://doi.org/10.22067/pm.v16i29.27199 Anderson, P., & Peterson, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science 10, 1261-1264. Aparicio, J., & Zofío, J. (2020). Economic cross-efficiency. Omega, 100, 1-16. https://doi.org/10.1016/j.omega.2020.102374 Aydın, U., Karadayi, M. A., & Ülengin, F. (2020). How efficient airways act as role models and in what dimensions? A superefficiency DEA model enhanced by social network analysis. Journal of Air Transport Management, 82, 101725. https://doi.org/https://doi.org/10.1016/j.jairtraman.2019.101725 Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092. Behzadian, M., Khanmohammadi Otaghsara, S., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051-13069. https://doi.org/https://doi.org/10.1016/j.eswa.2012.05.056 Bian, Y., & Xu, H. (2013). DEA ranking method based upon virtual envelopment frontier and TOPSIS. System Engineering Theory and Practice, 33(2), 482-488. Bolandnazar, E., Keyhani, A., & Omid, M. (2014). Determination of efficient and inefficient greenhouse cucumber producers using data envelopment analysis approach, a case study: Jiroft city in Iran. Journal of Cleaner Production, 79, 108-115. Chen, P. (2021). Effects of the entropy weight on TOPSIS. Expert Systems with Applications, 168, 114186. https://doi.org/https://doi.org/10.1016/j.eswa.2020.114186 Cullinane, K., Song, D. W., Ji, P., & Wang, T. F. (2004). An application of DEA windows analysis to container port production efficiency. Review of network Economics, 3(2), 184-205. Dehdasht Id, G., Salim, M., Id, F., Zin, R. M., & Abidinid, N. Z. (2020). A hybrid approach using entropy and TOPSIS to select key drivers for a successful and sustainable lean construction implementation, PLoS One, 15(2),1-32. https://doi.org/10.1371/journal.pone.0228746. Devaux, A., Goffart, J. P., Petsakos, A., Kromann, P., Gatto, M., Okello, J., Suarez, V., & Hareau, G. (2020). Global food security, contributions from sustainable potato agri-food systems, In H. Campos & O. Ortiz (Eds.), The Potato Crop: Its Agricultural, Nutritional and Social Contribution to Humankind (pp. 3-35). Springer International Publishing. https://doi.org/10.1007/978-3-030-28683-5_1 Durst, P., & Bayasgalanbat, N. (2014). Promotion of underutilized indigenous food resources for food security and nutrition in Asia and the Pacific. Food and Agriculture Organization of the United Nations regional office for Asia and the Pacific Bangkok, 2014. Retrived from: http://www.fao.org/3/a-i3685e.pdf Esfahani, S.M.J (2022a). Ranking wheat-producing provinces of Iran based on eco-efficiency. Environmental Resources Research, 10(1), 81-92. doi: 10.22069/ijerr.2022.6033. Esfahani, S. M. J. (2022b). Management of energy consumption and greenhouse gas emissions using the optimal farm scale: Evidence from wheat production in South Khorasan Province. Iran Agricultural Research, 40(2), 71-83. doi: 10.22099/iar.2022.41569.1461 FAO. (2020). FAOSTAT, crop statistics. Retrived from: http://www.fao.org/faostat/en/#data/QC Graubner, M., & Ostapchuk, I. (2018). Efficiency and profitability of Ukrainian crop production. Agricultural Policy Report, Institute for Economic Research and Policy Consulting, Reytarska, Kyiv, Ukraine. Retrieved from: https://www.apd-ukraine.de/images/Efficiency_and_Profitability_of_Ukrainian_Crop_Production.pdf Hatami, A., Marbini Saati, S., & Makui, A. (2010). Ideal and anti-ideal decision making units: A fuzzy DEA approach. Journal of Industrial Engineering International, 6(10), 31-34. Haverkort, A. J., de Ruijter, F. J., van Evert, F. K., Conijn, J. G., & Rutgers, B. (2013). Worldwide sustainability hotspots in potato cultivation. 1. Identification and mapping. Potato Research, 56(4), 343-353. https://doi.org/10.1007/s11540-013-9247-8 Hwang, C. L., Yoon, K. (1981). Methods for multiple attribute decision making. In: Multiple attribute decision making. Lecture notes in economics and mathematical systems. (pp.58-191). Berlin, Heidelberg, Springer. https://doi.org/10.1007/978-3-642-48318-9_3 Jahanshahloo, G. R., Junior, H. V., Hosseinzadeh Lotfi, F., & Akbarian, D. (2007). A new DEA ranking system based on changing the reference set. European Journal of Operational Research, 181(1), 331-337. Jozi, S. A., & Majd, N. M. (2014). Health, safety, and environmental risk assessment of steel production complex in central Iran using TOPSIS. Environmental Monitoring and Assessment, 186(10), 6969-6983. https://doi.org/10.1007/s10661-014-3903-6 Kazemi, J., Dehghan Sanch, K., & Khalilzadeh, M. (2017). Ranking of agricultural production using decision making approach Fuzzy multi-attribute : Case study of West Azarbayjan. Agricultural Economics Research, 9(35), 145-162. In persian. http://jae.marvdasht.iau.ir/article_2519.html Khare, R., Villuri, V. G. K., & Chaurasia, D. (2021). Urban sustainability assessment: The evaluation of coordinated relationship between BRTS and land use in transit-oriented development mode using DEA model. Ain Shams Engineering Journal, 12(1), 107-117. https://doi.org/https://doi.org/10.1016/j.asej.2020.08.012. Kyrgiakos, L. S., Vlontzos, G., & Pardalos, P. M. (2021). Ranking EU agricultural sectors under the prism of alternative widths on window DEA. Energies, 14(4). 1021. https://doi.org/10.3390/en14041021 Lai, P. L., Potter, A., Beynon, M., & Beresford, A. (2015). Evaluating the efficiency performance of airports using an integrated AHP/DEA-AR technique. Transport Policy, 42, 75-85. https://doi.org/https://doi.org/10.1016/j.tranpol.2015.04.008 Lee, H. C., & Chang, C. T. (2018). Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan. Renewable and Sustainable Energy Reviews, 92, 883-896. https://doi.org/https://doi.org/10.1016/j.rser.2018.05.007 Lo Storto, C. (2016). Ecological efficiency based ranking of cities: A combined DEA cross-efficiency and Shannon’s Entropy Method. Sustainability, 8(2), 124-137. https://doi.org/10.3390/su8020124 Lotfi, F. H., Fallahnejad, R., & Navidi, N. (2011). Ranking efficient units in DEA by using TOPSIS method. Applied Mathematical Sciences, 5(17), 805-815. Malana, N. M., & Malano, H. M. (2006). Benchmarking productive efficiency of selected wheat areas in Pakistan and India using data envelopment analysis. Irrigation and Drainage, 55(4), 383-394. https://doi.org/10.1002/ird.264 Mehta, K., Sharma, R., & Vyas, V. (2019). Efficiency and ranking of sustainability index of India using DEA-TOPSIS. Journal of Indian Business Research, 11(2), 179-199. https://doi.org/10.1108/JIBR-02-2018-0057 Ministry of Agriculture-Jahad of Iran (2020). Statistics of crop production. Retrived from: https://maj.ir/page-amar/FA/65/form/pId28830 Naderi Mahdei, K., Fotros, M. H., & Esfahani, S. M. J. (2015). Investigation relationship between social capital and efficiency (case study: Saffron producers of Ferdows county). Journal of Research and Rural Planning, 4(2), 21-34. In persian. https://doi.org/10.22067/jrrp.v4i2.33954 Najafi, P., Fehresti- Sani, M., Nazari, M. R., & Neshat, A. (2020). Efficiency estimation and ranking of Iranian sugar beet producers. Agricultural Economics and Development, 28(111), 125-145. In persian. https://doi.org/10.30490/aead.2020.252671.0 Peykani, P., Rahmani, D., Gheidar-Kheljani, J., Jabbarzadeh, A., & Gavareshki, M. (2021). A novel ranking method based on Uncertain DEA Model. . 2nd International Conference on Challenges and New Solutions in Industrial Engineering and Management and Accounting, Damghan, Iran, 2021, Iranian Operations Research Society. Podinovski, V., & Bouzdine-Chameeva, T. (2021). Optimal solutions of multiplier DEA models. Journal of Productivity Analysis, 56. 45-68. https://doi.org/10.1007/s11123-021-00610-3 Rakhshan, S. A. (2017). Efficiency ranking of decision making units in data envelopment analysis by using TOPSIS-DEA method. Journal of the Operational Research Society, 68(8), 906-918. Rejab, E. N., Haridan, N. A., Nizam, N. E. N. S., & Rodzi, Z. M. (2021). The TOPSIS of different ideal solution and distance formula of fuzzy soft set in Multi-Criteria Decision Making. International Journal of Academic Research in Economics and Managment and Sciences, 10(2), 87-91. https://doi.org/10.6007/IJAREMS/v10-i2/10063 Sargazi, A. R., Sabouhi, M., & Nader, H. (2014). Ranking of farm units using data envelopment analysis (DEA) approach and analytic hierarchy process (AHP): A case study of Sistan region. Agricultural Economics and Development, 22(1), 107-128. In persian. Sexton, T. R., Silkman, R. H., & Hogan, A. J. (1986). Data envelopment analysis: Critique and extensions. New Directions for Program Evaluation, 1986(32), 73-105. Shahnavazi, A. (2017a). Determining the efficiency of Iran’s provinces in onion production: Application of data envelopment analysis. Agricultural Economics Research, 9(33), 145-164. In persian http://jae.miau.ac.ir/article_2185_2aaf47a086c3552586f01df1bde1be66.pdf Shahnavazi, A. (2017b). Determining the efficiency rank of irrigated crops in Iranian agricultural sector. Iranian Journal of Agricultural Economics and Development Research, 48(2), 227-240. In persisn. https://doi.org/10.22059/ijaedr.2017.62742 Shahnavazi, A. (2020). Evaluation of efficiency and profitability of potato cultivation in Iran. Agricultural Economics Research, 12(47), 151-188. In persisn. http://jae.miau.ac.ir/article_4203.html Singaravel, B., & Selvaraj, T. (2015). Optimization of machining parameters in turning operation using combined TOPSIS and AHP method. Tehnicki Vjesnik, 22(6), 1475-1480. Tavana, M., Toloo, M., Aghayi, N., & Arabmaldar, A. (2021). A robust cross-efficiency data envelopment analysis model with undesirable outputs. Expert Systems with Applications, 167, 114117. https://doi.org/https://doi.org/10.1016/j.eswa.2020.114117 Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509. https://doi.org/10.1016/S0377-2217(99)00407-5 Tran, T. H., Mao, Y., Nathanail, P., Siebers, P. O., & Robinson, D. (2019). Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis. Omega, 85, 156-165. https://doi.org/10.1016/j.omega.2018.06.008 Ullah, A., Silalertruksa, T., Pongpat, P., & Gheewala, S. H. (2019). Efficiency analysis of sugarcane production systems in Thailand using data envelopment analysis. Journal of Cleaner Production, 238, 117877. https://doi.org/https://doi.org/10.1016/j.jclepro.2019.117877
Varatharajulu, M., Duraiselvam, M., Kumar, M. B., Jayaprakash, G., & Baskar, N. (2021). Multi criteria decision making through TOPSIS and COPRAS on drilling parameters of magnesium AZ91. Journal of Magnesium and Alloys. In Press, Corrected Proof. https://doi.org/https://doi.org/10.1016/j.jma.2021.05.006. Venkata Subbaiah, K., Chandra Shekhar, N., & Kandukuri, N. (2014). Integrated DEA/TOPSIS approach for the evaluation and ranking of engineering education institutions–a case study. International Journal of Management Science and Engineering Management, 9(4), 249-264. Wang, Y. M., & Luo, Y. (2006). DEA efficiency assessment using ideal and anti- ideal decision making units. Applied Mathematics and Computation, 173(2), 902-915. https://doi.org/https://doi.org/10.1016/j.amc.2005.04.023 Wijesinha-Bettoni, R., & Mouillé, B. (2019). The contribution of potatoes to global food security, nutrition and healthy diets. American Journal of Potato Research, 96, 1-19. https://doi.org/10.1007/s12230-018-09697-1 Winter, J. C. F., Gosling, S. D., & Potter, J. (2016). Comparing the Pearson and Spearman correlation coefficients across distributions and sample sizes: A tutorial using simulations and empirical data. Psychological Methods, 21(3), 273-290. https://doi.org/10.1037/met0000079 Wood, R., Stadler, K., Simas, M., Bulavskaya, T., Giljum, S., Lutter, S., & Tukker, A. (2018). Growth in environmental footprints and environmental impacts embodied in trade: Resource efficiency indicators from EXIOBASE3. Journal of Industrial Ecology, 22(3), 553-564. https://doi.org/https://doi.org/10.1111/jiec.12735 Yoon, K. P., & Kim, W. K. (2017). The behavioral TOPSIS expert systems with applications, 89, 266-272. https://doi.org/https://doi.org/10.1016/j.eswa.2017.07.045 Zahedi- Seresht, M., Khosravi, S., Jablonsky, J., & Zykova, P. (2021). A data envelopment analysis model for performance evaluation and ranking of DMUs with alternative scenarios. Computers & Industrial Engineering, 152, 107002. https://www.sciencedirect.com/science/article/abs/pii/S0360835220306720 Zamani, P. (2017). Sensitivity in ranking for perturbations of data in DEA. International Journal of Data Envelopment Analysis, 5(1), 1183-1192. Zheng, H., Si, D., Wang, W., & Wang, R. (2018). Quantitative entropy weight TOPSIS evaluation of sustainable Chinese wind power developments. Mathematical Problems in Engineering, 2018, 6965432- 6965439. https://doi.org/10.1155/2018/6965439. Zheng, X. B., & Park, N. K. (2016). A Study on the efficiency of container terminals in Korea and China. The Asian Journal of Shipping and Logistics, 32(4), 213-220. https://doi.org/https://doi.org/10.1016/j.ajsl.2016.12.004 | ||
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