The Application of Complex Networks Analysis to Assess Iran's Trade and It's Most Important Trading Partners in Asia

Rafat, Monireh

doi:10.29252/jemr.9.34.107

Volume 9, Issue 34 (12-2018) jemr 2018, 9(34): 107-137 | Back to browse issues page

‎ 10.29252/jemr.9.34.107

‎ 20.1001.1.22286454.1397.9.34.4.0

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Rafat M. The Application of Complex Networks Analysis to Assess Iran's Trade and It's Most Important Trading Partners in Asia. jemr 2018; 9 (34) :107-137
URL: http://jemr.khu.ac.ir/article-1-1605-en.html

The Application of Complex Networks Analysis to Assess Iran's Trade and It's Most Important Trading Partners in Asia

Monireh Rafat ^*

University of Isfahan , monir_rafat@yahoo.com

Abstract: (6458 Views)

The existing trade models suggest that for tradable goods potential partners can be many, but eventually only one (the one offering the best price) should be selected, therefore relatively few (unidirectional) trade links will appear between countries. If the structure of international trade flows describes as a network, trade link would give rise between countries. This paper exploit recently-developed indicators based on network analysis such as node-degree, node-strength and node-disparity, and second-degree characteristics such as node-clustering and centrality indicators to investigate the pattern of international trade pattern followed by Iran and its Asian partner. The results of this study show that East Asian countries, have had a greater increase in the number of trade partners. Iran and its trading partners in Asia, is growing trade links with countries that have more trading partners. Nearest neighbor degree index show that selected countries are looking to improve relations with countries that have more similarities with his own country. Based on the centrality, it was found that only China with the centrality index of .97 is in the core of global trade network. Emirates, Taiwan, Korea and Thailand respectively with values of .94, .92, .94 and .91 are in the inner-periphery and Turkey with a value of 0.87 is in secondary-periphery. Iran with a value of 0.72 is in outside of the global trade network

Keywords: Networking Analysis, Global Trade Network, Trade Structure

Full-Text [PDF 3931 kb] (1559 Downloads)

Type of Study: Applicable | Subject: تجارت و مالیه بین الملل
Received: 2017/09/17 | Accepted: 2018/10/18 | Published: 2019/02/25

References

1. Abedini, J., & Mesgari, I. (2012). Estimating Bilateral Export Potentials of the Economic Cooperation Organization (ECO) in Non-Oil Industries. Journal of Economic Modeling Research (Jemr), 2 (7), 75-96.

2. Anhnguyen, T., Hanh, T., & Vallée, T. (2016). Economic Integration in ASEAN+3: A Network Analysis. Journal of Economic Integration, 31(2), 275-325. [DOI:10.11130/jei.2016.31.2.275]

3. Arribas, I., Pérez, F., & Tortosa, E. (2006). Measuring International Economic Integration: Theory and Evidence of Globalization. MPRA Paper, 16010, 1-42.

4. Azarbayejani, K., Tayebi, S.K., & Safadargiri, H. (2015). The Effect of US and EU Economic Sanctions on Bilateral Trade Flows between Iran and Its Major Trading Partners:An Application of Gravity Model. Economic research, 50(3), 539.

5. Beaton, K., Cebotari, A., Ding, X., & Komaromi, A. (2017). Trade Integration in Latin America: A Network Perspective. IMF Working Paper, 17(48), 2-34. [DOI:10.5089/9781484303665.001]

6. Benedicts, L., Nenci, S., Santoni, G., Tajoli, L. & Vicarelli, C. (2013). Network Analysis of World Trade Using the BACI-CEPII Dataset. CEPII Working Paper.1-60. [DOI:10.2139/ssrn.2374354]

7. Cingolani, I., Iapadre, L., & Tajoli, L. (2018). International Production Networks and the World Trade Structure. International Economics CEPII research center, 153, 11-33. [DOI:10.1016/j.inteco.2017.10.002]

8. Donze, P.Y., Ishibashi, K., Wu, B., Kaneko, U., Miyazaki, K. & Takai, K. (2017). Global Distribution of Watches: A Network Analysis of Trade Relations. Retrieved from: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2017.86. [DOI:10.1109/ICDMW.2017.86]

9. Economides, N., (1996). The Economics of Network. International Journal of Industrial Organization, 14( 2), 1-37. [DOI:10.1016/0167-7187(96)01015-6]

10. Fagiolo, G., Schiavo, S., & Reyes, J. (2007). The Evolution of the World Trade Web. A Weighted-Network Analysis. Working Paper Series, 17, 1-34.

11. Fathi, Y., & Pakdaman, R. (2010). The Status of Iran's Partners in Commercial Diplomacy. International Quarterly Journal of Foreign Relations, 3, 201-251.

12. Fracasso, A., Hien, T., Nguyen, T., & Schiavo, E. (2018). The Evolution of Oil Trade: A Complex Network Approach, Retrieved from: https://doi.org/10.1017/nws.2018.6 [DOI:10.1017/nws.2018.6.]

13. Garlaschelli, D., & Lo.redo, M. (2005). Structure and Evolution of the World Trade Network, Physica, 355, 138-44. [DOI:10.1016/j.physa.2005.02.075]

14. Kali, R., & Reyes, J. (2007). The Architecture of Globalization: A Network Approach to International Economic Integration, Working Paper University of Arkansas, 72701, 1-33.

15. Kazerouni, S.A., Asgharpour, H., & Khezri, E. (2016). The effect of Economic Sanctions on the Composition of Trading Partners of Iran. Quarterly Journal of Business Research, 79, 1-33.

16. Kim, S., & Shin, E. (2002). A Longitudinal Analysis of Globalization and Regionalization in International Trade: A Social Network Approach. Social Forces, 81, 445-471. [DOI:10.1353/sof.2003.0014]

17. Liao, H., & Vidmer, A. (2018). A Comparative Analysis of the Predictive Abilities of Economic Complexity Metrics Using International Trade Network. Complexity, Retrieved from: https://doi.org/10.1155/2018/2825948 [DOI:10.1155/2018/2825948.]

18. Newman, M. (2010). Networks: An Introduction, OUP Oxford. [DOI:10.1093/acprof:oso/9780199206650.003.0001]

19. Onnela, J., Saramaki, J., Kertesz, J., & Kaski, K. (2005). Intensity and Coherence of Motifs in Weighted Complex Networks. Physical Review, 71, 1-13. [DOI:10.1103/PhysRevE.71.065103]

20. Reyes, J., Schiavo, S., & Fagiolo, G. (2007). Using Complex Network Analysis to Assess the Evolution of International Economic Integration: The Cases of East Asia and Latin America. Retrieved from: https://halshs.archives-ouvertes.fr/hal-00973113/document.

21. Saeedi, R., Saeedi, Kh., & Dehghani, A. (2014). Feasibility of Establishing Preferential Trade Agreement with Iran and Countries of Brics. Quartery Journal of Economic Research and Poli-cies, 22 (69), 107-130.

22. Serrano, A., & Bogu, M. (2003). Topology of the World Trade Web. Physical Review, 68, 1-20. [DOI:10.1103/PhysRevE.68.015101]

23. Shirazi, H., Azarbayejani, K., & Sameti, M. (2015). Study of Iran's Position in the World Trade: A Network Approach. Economic research, 50(4), 881-902.

24. Smith, D., & White, D. (1992). Structure and Dynamics of the Global Economy: Network Analysis of International Trade. Social Forces, 70, 857-893. [DOI:10.1093/sf/70.4.857]

25. Snyder, D., & Kick, E. (1979). Structural Position in the World System and Economic Growth 1955-70: A Multiple Network Analysis of Transnational Interactions. American Journal of Sociology, 84, 1096-1126. [DOI:10.1086/226902]

26. Yazdani, M., & Pirpour, H. (2018). The Determinants of Intra-Industry Trade in Energy Sector among Iran and its Major Trading Partners. Journal of Economic Modeling Research (Jemr), 8 (30), 43-78.