• Azis Muslim Kementerian Perdagangan
DOI: https://doi.org/10.30908/bilp.v9i1.16
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Keywords: Perdagangan, RTA, Pendapatan, Konvergensi, Fuzzy, Trade, Income, Convergence


Studi ini mengevaluasi pernyataan bahwa Regional Trade Agreement (RTA) mendorong konvergensi pendapatan. Dengan menggunakan data historis dan menerapkan algoritma fuzzy c-means clustering studi ini menguji konvergensi pendapatan Indonesia dan mitra RTA. Hasil studi menunjukkan bahwa dalam dua dasawarsa sejak tahun 1993, meskipun dengan adanya RTA, Indonesia mengalami pertumbuhan ekonomi, tetapi pendapatan Indonesia tidak konvergen ke arah pendapatan negara maju. Perdagangan perlu dipakai sebagai sarana alih pengetahuan dan teknologi serta peningkatan “kapabilitas sosial” untuk mendukung percepatan pertumbuhan ekonomi.


This study evaluates the proposition that Regional Trading Agreements (RTA) endorses convergence of income. Using historical data and fuzzy c-means clustering algorithm, this study analyzes the convergence of Indonesia’s income and RTA partners. The results show that in two decades since 1993, with the presence of RTA, Indonesia has experienced economic growth, yet Indonesia’s income did not converge towards the incomes of developed countries. Trade needs to be utilized as a mean to support knowledge and technology transfer and to increase “social capability” to enhance the acceleration of economic growth.

Author Biography

Azis Muslim, Kementerian Perdagangan
Badan Pengkajian dan Pengembangan Kebijakan Perdagangan


Abramovitz, M. (1986). Catching up, forging ahead, and falling behind. The Journal of Economic History, 46(02), 385–406.

Achsani, N. A., & H. Siregar. (2010). Classification of the ASEAN+ 3 Economies Using Fuzzy Clustering Approach. European Journal of Scientific Research, 39 (4), 489–497.

Ang, J. B., & J. B. Madsen. (2013). International R&D spillovers and productivity trends in the Asian miracle economies. Economic Inquiry, 51(2), 1523–1541.

Bajona, C., & T. J. Kehoe. (2010). Trade, growth, and convergence in a dynamic Heckscher–Ohlin model. Review of Economic Dynamics, 13 (3), 487–513.

Bank Indonesia. (2014). Laporan Perekonomian Indonesia 2013. Bank Indonesia.

Bernard, A. B., & S. N. Durlauf. (1996). Interpreting tests of the convergence hypothesis. Journal of Econometrics, 71(1), 161–173.

Boreiko, D. (2002). EMU and Accession Countries: Fuzzy Cluster Analysis of Membership (Working Papers Central Bank of Chile No. 189). Central Bank of Chile. Retrieved from http://ideas.repec.org/p/chb/bcchwp/189.html

Charles, A., O. Darne, & J.F. Hoarau. (2012). Convergence of real per capita GDP within COMESA countries: A panel unit root evidence. The Annals of Regional Science, 49(1), 53–71. doi:10.1007/s00168-010-0427-z

Grossman, G. M., & E. Helpman. (1991). Trade, knowledge spillovers, and growth. European Economic Review, 35(2), 517–526.

Helpman, E. (1981). International trade in the presence of product differentiation, economies of scale and monopolistic competition: A Chamberlin-Heckscher-Ohlin approach. Journal of International Economics, 11(3), 305–340.

Izakian, H., & A. Abraham. (2011). Fuzzy C-means and fuzzy swarm for fuzzy clustering problem. Expert Systems with Applications, 38(3), 1835–1838.

Jayanthakumaran, K., & S. W. Lee. (2013). Evidence on the Convergence of Per Capita Income: A Comparison of Founder Members of the Association of South East Asian Nations and the South Asian Association of Regional Cooperation. Pacific Economic Review, 18(1), 108–121. doi:10.1111/1468-0106.12013

Krugman, P. R. (1979). Increasing returns, monopolistic competition, and international trade. Journal of International Economics, 9(4), 469–479.

Leamer, E. E., & J. Levinsohn. (1995). International trade theory: the evidence. Handbook of International Economics, 3, 1339–1394.

Li, H. (2013). “Convergence” or “Divergence”?—Rethinking Regional Integration of the Past Two Decades. Frontiers of Economics in China, 8(4), 592–607. doi:10.3868/s060-002-013-0030-7

Muslim, A., & M. Ekananda. (2007). Implementasi Algoritma Cluster Fuzzy dan Neuro-Fuzzy Studi kasus Ekspor Indonesia ke Jepang. Seminar Ekonomi Nasional FEUI Jakarta.

Nahar, S., & B. Inder. (2002). Testing convergence in economic growth for OECD countries. Applied Economics, 34(16), 2011–2022.

Romer, D. (2011). Advanced Macroeconomics (4 edition). New York: McGraw-Hill/Irwin.

Sabaruddin, S. S. (2014). The Impact of Indonesia–China Trade Liberalisation on the Welfare of Indonesian Society and on Export Competitiveness. Bulletin of Indonesian Economic Studies, 50(2), 292–293.

Schmitt, C., & P. Starke. (2011). Explaining convergence of OECD welfare states: a conditional approach. Journal of European Social Policy, 21(2), 120–135.

Sjöholm, F. (1999). Productivity growth in Indonesia: the role of regional characteristics and direct foreign investment. Economic Development and Cultural Change, 47(3), 559–584.

Slaughter, M. J. (1998). International trade and per capita income convergence: a difference-in-differences analysis. National Bureau of Economic Research. Retrieved from http://www.nber.org/papers/w6557

Stroomer, C., & D. E. Giles. (2003). Income convergence and trade openness: fuzzy clustering and time series evidence. Department of Economics, University of Victoria, Econometrics Working Paper EWP0304, ISSN, 1485–6441.

Tapia-Herrera, R., J.A. Meda-Campaña, S. Alcántara-Montes, T.

Hernández-Cortés, & L. Salgado-Conrado. (2013). Tuning of a TS Fuzzy Output Regulator Using the Steepest Descent Approach and ANFIS. Mathematical Problems in Engineering, 2013. Retrieved from http://www.hindawi.com/journals/mpe/aip/873430/

Wong, B. K., & V.S. Lai. (2011). A survey of the application of fuzzy set theory in production and operations management: 1998–2009. International Journal of Production Economics, 129(1), 157–168.

Zimmermann, H.J. (2010). Fuzzy set theory. Wiley Interdisciplinary Reviews: Computational Statistics, 2(3), 317–332.

How to Cite
Muslim, A. (2015). KONVERGENSI PENDAPATAN INDONESIA DAN MITRA REGIONAL TRADE AGREEMENT (ASEAN+6): APLIKASI METODE CLUSTER FUZZY. Buletin Ilmiah Litbang Perdagangan, 9(1), 63-77. https://doi.org/10.30908/bilp.v9i1.16