National Power Analysis of ASEAN Member States with Entropy-Weight-Based ARAS During 2017-2021
top of page
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Journal of Social and Political

Sciences

ISSN 2615-3718 (Online)

ISSN 2621-5675 (Print)

asia insitute of research, journal of social and political sciences, jsp, aior, journal publication, humanities journal, social journa
asia insitute of research, journal of social and political sciences, jsp, aior, journal publication, humanities journal, social journa
asia insitute of research, journal of social and political sciences, jsp, aior, journal publication, humanities journal, social journa
asia insitute of research, journal of social and political sciences, jsp, aior, journal publication, humanities journal, social journa
crossref
doi
open access

Published: 22 June 2023

National Power Analysis of ASEAN Member States with Entropy-Weight-Based ARAS During 2017-2021

Mehmet Mutlu Akıncı, Sevcan Kılıç Akıncı

Erzurum Technical University (Turkey), Ankara Hacı Bayram Veli University (Turkey)

journal of social and political sciences
pdf download

Download Full-Text Pdf

doi

10.31014/aior.1991.06.02.420

Pages: 199-211

Keywords: ASEAN, MCDM Techniques, National Power, Entropy-Weight-Based ARAS

Abstract

ASEAN is an important economy where aggregate gross domestic product of ten ASEAN Member States (AMSs) amounted to US$3.0 trillion and marked the union as the fifth-largest global economy. This study evaluated national power levels of all of the 10 AMSs and ranked them. National power is important to rank countries. This study evaluated national power of AMSs through using MCDM techniques entropy weight-based ARAS. Results show that in terms of national power Singapore and Indonesia are in the 1st group; Thailand in the 2nd group; Vietnam 3rd group; Malaysia and Philippines 4th group; Cambodia, Lao PDR, Brunei, and Myanmar are in the last group. This analysis shows that, each ASEAN member country contributed to the union an important added value in either finance, energy, infrastructure, education. This underlines that ASEAN is a powerful union strengthening the foundation for a prosperous and peaceful community of Southeast Asian nations by accelerating regional economic growth as officially aimed. In academic literature, there is limited number of comparative studies conducted on ASEAN countries where the comparisons have focused solely on only a single factor. Moreover, the literature does not contain any comparative analyses of ASEAN countries in terms of national power. This research constitutes pioneering research of the National Power of the ASEAN countries. Furthermore, it adds significant value to the existing body of literature by conducting a comprehensive analysis of 1586 indicators segmented into thirteen principal factors.

References

  1. Alibeigi, A., Asemi, A., Munir, A. B., & Baba, M. S. (2021). Evaluating ASEAN E-commerce laws using fuzzy multi-criteria decision making. Advances in decision sciences. https://ssrn.com/abstract=3869275

  2. ASEAN Secretariat. (2021). ASEAN key figures 2021. https://www.aseanstats.org/wp-content/uploads/2021/12/ASEAN-KEY-FIGURES-2021-FINAL-1.pdf

  3. ASEAN Secretariat. (2022). ASEAN economic integration brief (December 2022). https://asean.org/wp-content/uploads/2022/12/AEIB_No.12_9Dec2022.pdf

  4. Bakır, M., & Atalık, Ö. (2018). Entropi ve Aras yöntemleriyle havayolu işletmelerinde hizmet kalitesinin değerlendirilmesi. İşletme Araştırmaları Dergisi, 10(1), 617-638. https://www.ceeol.com/search/article-detail?id=688372

  5. El-Araby, A., Sabry, I., & El-Assal, A. (2022). A comparative study of using MCDM methods integrated with entropy weight method for evaluating facility location problem. Operational Research in Engineering Sciences: Theory and Applications, 5(1), 121-138. https://doi.org/10.31181/oresta250322151a

  6. Erdin, C. & Özkaya, G. (2017). ASEAN Ülkeleri ve Türkiye’nin TOPSIS Yöntemiyle Sürdürülebilir Gelişmişlik Endeksi Çerçevesinde Performans Değerlendirmesi. Yıldız Sosyal Bilimler Enstitüsü Dergisi, 1(2), 150-163. https://dergipark.org.tr/en/pub/ysbed/issue/31709/318183

  7. Karimi, M. S., Yusop, Z., & Law, S. H. (2010). Location decision for foreign direct investment in ASEAN countries: A TOPSIS approach. International Research Journal of Finance and Economics, 36(1), 196-207. https://www.scopus.com/record/display.uri?eid=2-s2.0- 76549135050&origin=inward&tx Gid=a7b63c1bd2f13abf4d00e22e7f76ee7b

  8. Keling, M. F., Md Som, H., Saludin, M. N., Shuib, M. S., & Ajis, M. N. E. (2011). The development of ASEAN from historical approach. Asian Social Science, 7(7), 169-189. https://doi.org/10.5539/ass.v7n7p169

  9. Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. (2017). A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renewable and Sustainable Energy Reviews, 69, 596-609. https://doi.org/10.1016/j.rser.2016.11.191

  10. Li, S. & Wang, D. (2022). Establishment and evaluation of national power index system: evidence from evidence-based analysis. Pacific Focus, 37: 213-245. https://doi.org/10.1111/pafo.12204

  11. Liao, H., Dong, W., Liu, H., & Ge, Y. (2015). Towards measuring and visualizing sustainable national power—a case study of China and neighboring countries. ISPRS International Journal of Geo-Information, 4(3), 1672–1692. http://doi.org/10.3390/ijgi4031672

  12. Mangku, D. G. S. (2017). The Efforts of Republica Democratica de Timor-Leste (Timor Leste) to be a member of Association of Southeast Asian Nations (ASEAN) and take an active role in maintaining and creating the stability of security in Southeast Asia. Southeast Asia Journal of Contemporary Business, Economics and Law, 13(4), 18-24. https://seajbel.com/wp-content/uploads/2017/09/LAW-74.pdf

  13. Masilamani, L., & Peterson, J. (2014). The “ASEAN Way”: The structural underpinnings of constructive engagement. Foreign Policy Journal, 15, 1-21. https://www.foreignpolicyjournal.com/wp-content/uploads/2014/10/141015-Masilamani-Peterson-ASEAN.pdf

  14. Purnomo, D., Said, E. G., Fauzi, A. M., Syamsu, K., & Tasrif, M. (2011). Posisi daya saing produk dan kelembagaan agroindustri halal ASEAN. Warta KIML, 9(1), 73-91. http://www.stipmjournal.org/ index.php/stipm/article/view/85/pdf

  15. Shemshadi, A., Shirazi, H., Toreihi, M., & Tarokh, M. (2011). A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38(10), 12160-12167. https://doi.org/10.1016/j.eswa.2011.03.027

  16. Stockholm International Peace Research Institute (SIPRI). (2023). Military expenditure database. https://milex.sipri.org/sipri

  17. Tsallis, C. (2009). Nonadditive entropy: The concept and its use. The European Physical Journal A, 40(3), 257. https://doi.org/10.1140/epja/i2009-10799-0

  18. U.S. Energy Information Administration (EIA). (2023). International energy statistics database. https://www.eia.gov/international/data/world

  19. Wang, C. N., Nguyen, T. D., Nhieu, N. L., & Hsueh, M. H. (2023). A novel psychological decision-making approach for healthcare digital transformation benchmarking in ASEAN. Applied Sciences, 13(6), 3711. https://doi.org/10.3390/app13063711

  20. Wanke, P., Azad, M. A. K., Yazdi, A. K., Birau, F. R., & Spulbar, C. M. (2022). Revisiting CAMELS rating system and the performance of ASEAN banks: A comprehensive MCDM/Z-Numbers approach. IEEE Access, 10, 54098-54109.

  21. Wanke, P., Hassan, M. K., & Gavião, L. O. (2017). Islamic banking and performance in the ASEAN banking industry: a TOPSIS approach with probabilistic weights. International Journal of Business & Society, 18(S1), 129-150. http://www.ijbs.unimas.my/images/repository/pdf/Vol18-S1-paper8.pdf

  22. Wanke, P., Kalam Azad, M. A., Barros, C. P., & Hadi‐Vencheh, A. (2016). Predicting performance in ASEAN banks: an integrated fuzzy MCDM–neural network approach. Expert Systems, 33(3), 213-229. https://doi.org/10.1111/exsy.12144

  23. World Bank. (2023). World development indicators. https://databank.worldbank.org/source/world-development-indicators

  24. Yu, J. (2022). Road safety development evaluation in the ASEAN region. Highlights in Science, Engineering and Technology, 16, 238–248. https://doi.org/10.54097/hset.v16i.2505

bottom of page