Comparing Green Economy in Iran with OECD Asian Countries by Applying TOPSIS and GI Method
DOI:
https://doi.org/10.18096/TMP.2021.02.02Keywords:
Green Economy, TOPSIS, Green Index, Iran, OECD Asian CountriesAbstract
In this study, we tried to calculate Iran’s green growth index and compare it with four selected OECD countries in the continent of Asia, Turkey, Japan, Korea, and Israel in 2015 by applying the Green Index, and Technique for Order of Preference by Similarity to Ideal Solution. Our research provides a new methodology to rank different countries based on green growth indicators. Applying both methods, Iran ranked fourth among the selected countries. Iran, in comparison to Turkey, Japan, and Korea, is behind in developing sustainability and green economy indices.
References
AJRIPOUR, I., ASADPOUR, M., & TABATABAIE, L. (2019). A model for organization performance management applying MCDM and BSC: a case study. Journal of Applied Research on Industrial Engineering, 6(1), 52-70.
ANOJKUMAR L., ILANGKUMARAN M., & SASIREKHA V. (2014). Comparative analysis of MCDM methods for pipe material selection in sugar industry. Expert Systems with Applications, 41(6), 2964-2980. https://doi.org/10.1016/j.eswa.2013.10.028
AZIMIFARD A., MOOSAVIRAD S. H., & ARIAFAR S. (2018). Selecting sustainable supplier countries for Iran's steel industry at three levels by using AHP and TOPSIS methods. Resources Policy, 57, 30-44. https://doi.org/10.1016/j.resourpol.2018.01.002
BARARI M., RAZAVIAN M., & TAVAKKOLINIA J. (2019). Evaluation of sustainable urban transport indicators using by green economy approach (case study: Sari city). Journal of Geographical Space Preparation, 8(30), 104-120.
COUNTRY PROFILE IRAN (2018). Environmental performance index. Retrieved: November 2020: https://epi.yale.edu/sites/default/files/2018-irn.pdf .
DEPUTY OF PRODUCTION AND INFRASTRUCTURE RESEARCH ( برر سی جايگاه ايرا ن در شاخص عملکر د .( 2017 م جيط ز يست (EPI) و مقايسه با بر خی کشورهای دار ای رتبه برتر (Investigating Iran's position in the Environmental Performance Index (EPI) and comparing it with some of the top-ranked countries). 2017. Retrieved: October 2020:
https://rc.majlis.ir/fa/report/show/1036805 .
DONG Y., ZHANG G., HONG W. C., & XU Y. (2010). Consensus models for AHP group decision making under row geometric mean prioritization method. Decision Support Systems, 49(3), 281-289. https://doi.org/10.1016/j.dss.2010.03.003
DOS SANTOS B. M., GODOY L. P., & CAMPOS L. M. (2019). Performance evaluation of green suppliers using entropy-TOPSIS-F. Journal of Cleaner Production, 207, 498-509. https://doi.org/10.1016/j.jclepro.2018.09.235
EUROPEAN COMMISSION STATEMENT (2016). Retrieved: October 2020: http://europa.eu/rapid/pressrelease_STATEMENT-16-1441_en.htm.
FREEMAN J, & CHEN T. (2015). Green supplier selection using an AHP-Entropy-TOPSIS framework. Supply Chain Management: An International Journal, 20(3), 327 – 340. https://doi.org/10.1108/scm-04-2014-0142
GHARAEI A., KARIMI M., & HOSEINI SHEKARABI S. A. (2019). Joint Economic Lot-sizing in Multi product Multi-level Integrated Supply Chains: Generalized Benders Decomposition. International Journal of Systems Science: Operations & Logistics, 1–17. https://doi.org/10.1080/23302674.2019.1585595
GUPTA S., SONI U., & KUMAR G. (2019). Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry. Computers & Industrial Engineering, 136, 663-680. https://doi.org/10.1016/j.cie.2019.07.038
HAO Y., HELO P., & SHAMSUZZOHA A. (2018). Virtual factory system design and implementation: Integrated sustainable manufacturing. International Journal of Systems Science: Operations & Logistics, 5(2), 116–132. https://doi.org/10.1080/23302674.2016.1242819
HO W., XU X., & DEY P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202, 16–24. https://doi.org/10.1016/j.ejor.2009.05.009
HWANG C L, & YOON K. (1981). Multiple Attribute Decision Making. Lecture Notes in Economics and Mathematical Systems series, no. 186. Springer-Verlag, Berlin. https://doi.org/10.1007/978-3-642-48318-9_3
IRFAN E., & NILSEN K. (2009). Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications, 36, 702–715. https://doi.org/10.1016/j.eswa.2007.10.014
LIU H. C., QUAN M. Y., LI Z., & WANG Z. L. (2019). A new integrated MCDM model for sustainable supplier selection under interval-valued intuitionistic uncertain linguistic environment. Information Sciences, 486, 254-270. https://doi.org/10.1016/j.ins.2019.02.056
MOGHADAS M., ASADZADEH A., VAFEIDIS A., FEKETE A., & KÖTTER T. (2019). A multi-criteria approach for assessing urban flood resilience in Tehran, Iran. International Journal of Disaster Risk Reduction, 35, 101069. https://doi.org/10.1016/j.ijdrr.2019.101069
OECD (2015). Green Growth Indicators. Retrieved: November 2020: https://stats.oecd.org/Index.aspx# .
OECD (2017). Green Growth Indicators. Retrieved: October 2020. http://www.oecd.org/greengrowth/green-growthindicators/.
PEIYUE L., QIAN, H., & JIANHUA W. U. . (2011). Hydrochemical formation mechanisms and quality assessment of groundwater with improved TOPSIS method in Pengyang county Northwest China. Journal of Chemistry, 8(3),1164–1173. https://doi.org/10.1155/2011/251918
RABBANI M., FOROOZESH N., MOUSAVI S. M., & FARROKHI-ASL H. (2019). Sustainable supplier selection by a new decision model based on interval-valued fuzzy sets and possibilistic statistical reference point systems under uncertainty. International Journal of Systems Science: Operations & Logistics, 6(2), 162–178. https://doi.org/10.1080/23302674.2017.1376232
RAO R. V, & DAVIM J. P. (2008). A decision-making framework model for material selection using a combined multiple attribute decision-making method. The International Journal of Advanced Manufacturing Technology, 35(8), 751–760. https://doi.org/10.1007/s00170-006-0752-7
RASHIDI K, & CULLINANE K. (2019). A comparison of fuzzy DEA and fuzzy TOPSIS in sustainable supplier selection: Implications for sourcing strategy. Expert Systems with Applications 121, 266-281. https://doi.org/10.1016/j.eswa.2018.12.025
ROSTAMZADEH R., GOVINDAN K., ESMAEILI A., & SABAGHI M. (2015). Application of fuzzy VIKOR for evaluation of green supply chain management practices. Ecological Indicators, 49, 188-203. https://doi.org/10.1016/j.ecolind.2014.09.045
ROUHANI S., GHAZANFARI M., & JAFARI M. (2012). Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS. Expert Systems with Applications, 39 (3), 3764–3771. https://doi.org/10.1016/j.eswa.2011.09.074
SAATY T. L, & VARGAS L. G. (1984). Comparison of eigenvalue, logarithmic least squares and least squares methods in estimating ratios. Mathematical Modelling, 5(5), 309-324. https://doi.org/10.1016/0270-0255(84)90008-3
SACHS J. (2010). Sow the Seeds of Long-Term Growth. Article, Huffington Post. Retrieved: October 2020: http://www.huffingtonpost.com/jeffrey-sachs/sow-the-seeds-of-long-ter_b_655770.html
SHANIAN A, & SAVADOGO O. (2006). TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. Journal of Power Sources, 159 (2), 1095–1104. https://doi.org/10.1016/j.jpowsour.2005.12.092
ZISTONLINE, ( جايگاه اقتصاد سب ز و وض عيت آ ن د ر ايرا ن .( 2019 (The green economic situation in Iran). January 27th 2019. Retrieved: October 2020: https://www.zistonline.com/news/ جايگاه -اقتصاد-سب ز-و- وضعيت -آ ن-در -ا يران/ 79820 /do.
TÓTHNÉ K S. (2013). Az OECD országok zöld modellje in: Bartha, Z., A.S. Gubik, Klára Szita Tóthné (eds) : Intézményi megoldások, fejlődési modellek. GNR Szolgáltató és Kereskedelmi Bt., 157-179.
TÓTHNÉ K S. (2014). Green Growth in the OECD: State of the Art. Theory, Method and Practice, 10(2), 59-65.
TÓTHNÉ K S. (2018). The Green Development as a New Sustainability Model–Advantages and Critical Issues of Resource Management and Environmental Protection. In: G. Finszter & I. Sabjanics (eds.), Security Challenges in the 21st Century. Dialog Campus Publishing: Budapest. pp. 587–616.
UNEP. (2011). Towards a Green Economy: Pathways to Sustainable Development and Poverty Eradication - A Synthesis for Policy Makers. United Nations Environment Programme. Retrieved: October 2020: www.unep.org/greeneconomy
WANG T. C., & CHANG T. H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Application, 33 (4), 870–880. https://doi.org/10.1016/j.eswa.2006.07.003
WANG Y. M., & ELHAG T. M. S. (2006). TOPSIS method Fuzzy based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications, 31 (2), 309–319. https://doi.org/10.1016/j.eswa.2005.09.040
WENDLING Z. A., EMERSON J. W., ESTY D. C., LEVY M. A., DE SHERBININ A., & ET AL. (2018). Environmental Performance Index. New Haven, CT: Yale Center for Environmental Law & Policy. Retrieved: October 2020: https://epi.yale.edu/
WU CS., LIN CT., & LEE C. (2010). Optimal marketing strategy: A decision-making with ANP and TOPSIS. International Journal of Production Economics, 127(1), 190-196. https://doi.org/10.1016/j.ijpe.2010.05.013
YOUSEFI M., CARRANZA E. J. M. (2015). Geometric average of spatial evidence data layers: a GIS-based multicriteria decision-making approach to mineral prospectivity mapping. Computers & Geosciences 83: 72-79. https://doi.org/10.1016/j.cageo.2015.07.006