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Bütünleşik BWM ve TOPSIS yöntemleri kullanılarak OPEC üyesi ülkeler için kurumsal gelişmişlik analizi

Year 2023, Volume: 16 Issue: 1, 119 - 135, 31.01.2023
https://doi.org/10.25287/ohuiibf.1103498

Abstract

Bu çalışmada, kurumsal gelişmişlik ve doğal kaynak zenginliği bağlantısı çerçevesinde 2010-2020 dönemi için OPEC üyesi 13 ülkenin kurumsal gelişmişlik düzeyleri incelenmektedir. Literatürde kurumsal gelişmişlik göstergelerine odaklanan çalışmalarda her bir göstergenin farklı sorunlar ile arasındaki ilişki ele alınmaktadır. Ancak, kurumsal gelişmişlik analizini bütüncül bir biçimde ele alan ve çok boyutlu yapısı gereği çok kriterli karar verme yöntemlerine başvurulan çalışma sayısı sınırlıdır. Bu doğrultuda, çok kriterli karar verme yöntemlerinden BWM ve TOPSIS yöntemleri bütüncül bir yaklaşımla uygulanmış; ilk olarak göstergelerin ağırlıkları uzmanlar tarafından değerlendirilmiş ve elde edilen ağırlıklara bağlı olarak ülkelerin kurumsal gelişmişlik sıralaması belirlenmiştir. Ayrıca farklı senaryolara göre duyarlılık analizleri gerçekleştirilmiştir. Çalışmanın sonucunda, petrol zengini ülkelerin kurumsal açıdan yıllar itibariyle farklı sıralarda oldukları tespit edilmiştir. Birleşik Arap Emirlikleri, Suudi Arabistan ve Kuveyt’in kurumsal gelişmişlik sıralamasında ön planda oldukları; Ekvator Ginesi, Irak ve Venezuela’nın Libya ile birlikte başarısız bir kurumsal gelişmişlik sıralamasına sahip oldukları görülmektedir.

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Institutional development analysis for OPEC member countries by using integrated BWM and TOPSIS methods

Year 2023, Volume: 16 Issue: 1, 119 - 135, 31.01.2023
https://doi.org/10.25287/ohuiibf.1103498

Abstract

In this study, the institutional development levels of 13 OPEC member countries for the 2010-2020 period are investigated within the framework of the connection between institutional development and natural resource wealth. In studies focusing on institutional development indicators in the literature, the relationship between each indicator and different problems is discussed. However, the number of studies that deal with the analysis of institutional development in an integrated approach and which uses multi-criteria decision-making methods due to its multidimensional nature is limited. In this direction, BWM and TOPSIS methods, which are multi-criteria decision making methods, were applied with an integrated approach. First, the weights of the indicators were evaluated subjectively by experts and then the institutional development ranking of the countries was determined based on the weights obtained. In addition, sensitivity analyzes were carried out according to different scenarios. As a result of the study, it has been determined that oil-rich countries' rankings are differentiated over the years. While, United Arab Emirates, Saudi Arabia, and Kuwait are at the forefront in the ranking of institutional development; Equatorial Guinea, Iraq, Libya, and Venezuela have obtained an unsuccessful ranking of institutional development. The values of these indicators in OPEC member countries are far below the global average and the average compared to developed countries. In the selected period, decreases are striking in almost all indicators monitored. In the study, it has been seen how important the effect of the institutional structure on the economy is especially in Venezuela, Iraq, Libya and Equatorial Guinea.

References

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  • Chen, D., Gummi, U. M., Wang, J., & Mu’azu, A. (2020). Why We Feel Unsafe When We Get Rich? Review on the Empirics of Corruption, Oil Rents and Insecurity in Nigeria. Open Journal of Social Sciences, 8(5), 141-153. https://doi.org/https://doi.org/10.1111/j.1468-0297.2006.01045.x.
  • Çakır, E., & Can, M. (2019). Best-worst yöntemine dayalı ARAS yöntemi ile dış kaynak kullanım tercihinin belirlenmesi: Turizm sektöründe bir uygulama. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 23(3), 1273-1300.
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  • Dinçer, S. E. (2011). Multi-criteria analysis of economic activity for European Union Member States and candidate countries: TOPSIS and WSA applications. European Journal of Social Sciences, 21(4), 563-572.
  • Ecer, F. (2020b). Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer. Operational Research, 1-35. https://doi.org/10.1007/s12351-020-00552-y.
  • Ecer, F., & Pamucar, D. (2020a). Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model. Journal of Cleaner Production, 266, 121981. https://doi.org/10.1016/j.jclepro.2020.121981.
  • Ecer, F., Pamucar, D., Zolfani, S. H., & Eshkalag, M. K. (2019). Sustainability assessment of OPEC countries: Application of a multiple attribute decision making tool. Journal of Cleaner Production, 241, 118324. https://doi.org/10.1016/j.jclepro.2019.118324.
  • Fearon, J. D., & Laitin, D. D. (2003). Ethnicity, insurgency, and civil war. American political science review, 97(1), 75-90. https://doi.org/10.1017/S0003055403000534.
  • Gupta, H., & Barua, M. K. (2018). A framework to overcome barriers to green innovation in SMEs using BWM and Fuzzy TOPSIS. Science of the Total Environment, 633, 122-139. https://doi.org/10.1016/j.scitotenv.2018.03.173.
  • Gupta, P., Anand, S., & Gupta, H. (2017). Developing a roadmap to overcome barriers to energy efficiency in buildings using best worst method. Sustainable Cities and Society, 31, 244-259. https://doi.org/10.1016/j.scs.2017.02.005.
  • Gylfason, T. (2001). Natural resources, education, and economic development. European economic review, 45(4-6), 847-859. https://doi.org/10.1016/S0014-2921(01)00127-1.
  • Hodler, R. (2006). The curse of natural resources in fractionalized countries. European Economic Review, 50(6), 1367-1386. https://doi.org/10.1016/j.euroecorev.2005.05.004.
  • Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. In M. Beckmann, & H. P. Künzi (Eds.), Multiple attribute decision making (pp. 58–191). Berlin: Springer
  • Ilgaz, A. (2018). Lojistik sektöründe personel seçim kriterlerinin Ahp ve Topsis yöntemleri ile değerlendirilmesi. Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 1(32), 586-605.
  • Karande, P., & Chakraborty, S. (2012). Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Materials & Design, 37, 317-324. https://doi.org/10.1016/j.matdes.2012.01.013.
  • Karl, T. L. (1997). The paradox of plenty. University of California Press. https://doi.org/10.1525/9780520918696.
  • Kaufmann, D., Kraay, A., & Mastruzzi, M. (2011). The worldwide governance indicators: Methodology and analytical issues1. Hague journal on the rule of law, 3(2), 220-246. https://doi.org/10.1017/S1876404511200046.
  • Kaufmann, D., Kraay, A., & Zoido-Lobatón, P. (1999). Aggregating governance indicators (Vol. 2195). world Bank publications.
  • Kheybari, S., Kazemi, M., & Rezaei, J. (2019). Bioethanol facility location selection using best-worst method. Applied energy, 242, 612-623. https://doi.org/10.1016/j.apenergy.2019.03.054.
  • Koca, G. & Akçakaya, E.D.U. (2021). Giyilebilir Teknolojik Ürünlerin Tasarımında Etkili Olan Faktörlerin Best-Worst Metodu (BWM) İle Değerlendirilmesi. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, 8(1), 136-150. https://doi.org/10.35193/bseufbd.847791.
  • Liou, J. J., & Tzeng, G. H. (2012). Comments on “Multiple criteria decision making (MCDM) methods in economics: an overview”. Technological and Economic Development of Economy, 18(4), 672-695. https://doi.org/10.3846/20294913.2012.753489
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There are 62 citations in total.

Details

Primary Language Turkish
Subjects Economics, Business Administration
Journal Section Articles
Authors

Burcu Şimşek Yağlı 0000-0002-1034-6916

Selin Zengin Taşdemir 0000-0002-9351-3010

Publication Date January 31, 2023
Submission Date April 14, 2022
Acceptance Date December 30, 2022
Published in Issue Year 2023 Volume: 16 Issue: 1

Cite

APA Şimşek Yağlı, B., & Zengin Taşdemir, S. (2023). Bütünleşik BWM ve TOPSIS yöntemleri kullanılarak OPEC üyesi ülkeler için kurumsal gelişmişlik analizi. Ömer Halisdemir Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 16(1), 119-135. https://doi.org/10.25287/ohuiibf.1103498

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