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Impact of institutional and cultural distance on ASEAN's trade efficiency

Author

Listed:
  • Doanh Khanh Nguyen
  • Van Ngoc Thi Pham
  • Heo, Yoon

Abstract

This paper aims to analyze the impact of institutional and cultural distance on ASEAN's trade efficiency using bilateral trade data from 2006 to 2016. The authors first employ an improved version of the stochastic frontier model to control endogeneity in estimating efficiency scores and then apply a sys-GMM model to estimate the impact of various distances on trade efficiency. The major findings are summarized as follows: first, trade efficiency of ASEAN's with the rest of the world is moderate, ranging from 0.48 to 0.60, and shows a downward trend. This indicates that considerable trade potential exists between ASEAN countries and the rest of the world. Second, institutional and cultural distance negatively affects ASEAN's trade efficiency. Third, trade freedom is an important factor that positively influences ASEAN's trade efficiency. Based on these findings, this study concludes that efforts to reduce differences in institutions and culture and to promote trade liberalization are strongly suggested as remedies for ASEAN countries to turn potential trade performance into actual trade performance.

Suggested Citation

  • Doanh Khanh Nguyen & Van Ngoc Thi Pham & Heo, Yoon, 2019. "Impact of institutional and cultural distance on ASEAN's trade efficiency," Economics Discussion Papers 2019-57, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwedp:201957
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    References listed on IDEAS

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    1. Egger, Peter H. & Lassmann, Andrea, 2012. "The language effect in international trade: A meta-analysis," Economics Letters, Elsevier, vol. 116(2), pages 221-224.
    2. Henri L. F. De Groot & Gert‐Jan Linders & Piet Rietveld & Uma Subramanian, 2004. "The Institutional Determinants of Bilateral Trade Patterns," Kyklos, Wiley Blackwell, vol. 57(1), pages 103-123, February.
    3. Bedassa Tadesse & Roger White, 2010. "Does Cultural Distance Hinder Trade in Goods? A Comparative Study of Nine OECD Member Nations," Open Economies Review, Springer, vol. 21(2), pages 237-261, April.
    4. Doan, Thang N. & Xing, Yuqing, 2018. "Trade efficiency, free trade agreements and rules of origin," Journal of Asian Economics, Elsevier, vol. 55(C), pages 33-41.
    5. repec:rza:wpaper:308 is not listed on IDEAS
    6. Harrigan, James, 1993. "OECD imports and trade barriers in 1983," Journal of International Economics, Elsevier, vol. 35(1-2), pages 91-111, August.
    7. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2009. "Cultural Biases in Economic Exchange?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 1095-1131.
    8. Michael Faye & John McArthur & Jeffrey Sachs & Thomas Snow, 2004. "The Challenges Facing Landlocked Developing Countries," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 5(1), pages 31-68.
    9. Peter Egger, 2005. "On the Impact of Transportation Costs on Trade in a Multilateral World," Southern Economic Journal, Southern Economic Association, vol. 71(3), pages 592-606, January.
    10. Mustafa U. Karakaplan & Levent Kutlu, 2017. "Handling Endogeneity in Stochastic Frontier Analysis," Economics Bulletin, AccessEcon, vol. 37(2), pages 889-901.
    11. Weibo Xing & Li‐An Zhou, 2018. "Bilateral trust and trade: Evidence from China," The World Economy, Wiley Blackwell, vol. 41(8), pages 1918-1940, August.
    12. Heejoon Kang & Michele Fratianni, 2006. "International Trade Efficiency, the Gravity Equation, and the Stochastic Frontier," Working Papers 2006-08, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    13. Lin Sun & Michael R. Reed, 2010. "Impacts of Free Trade Agreements on Agricultural Trade Creation and Trade Diversion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1351-1363.
    14. Sampath Jayasinghe & Rakhal Sarker, 2008. "Effects of Regional Trade Agreements on Trade in Agrifood Products: Evidence from Gravity Modeling Using Disaggregated Data," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(1), pages 61-81.
    15. Hinojosa-Ojeda, Raul A. & Robinson, Sherman & De Paolis, Fernando, 1999. "Regional integration among the unequal: a CGE model of NAFTA and the Central American republics," The North American Journal of Economics and Finance, Elsevier, vol. 10(1), pages 235-292.
    16. Mustafa U. Karakaplan, 2017. "Fitting endogenous stochastic frontier models in Stata," Stata Journal, StataCorp LLC, vol. 17(1), pages 39-55, March.
    17. Anonymous, 1969. "I. United Nations," International Organization, Cambridge University Press, vol. 23(4), pages 971-989, October.
    18. Cheong, Juyoung & Kwak, Do Won & Tang, Kam Ki, 2018. "The trade effects of tariffs and non-tariff changes of preferential trade agreements," Economic Modelling, Elsevier, vol. 70(C), pages 370-382.
    19. Zheng, Yafei & Shao, Yanmin & Wang, Shouyang, 2017. "The determinants of Chinese nonferrous metals imports and exports," Resources Policy, Elsevier, vol. 53(C), pages 238-246.
    20. Peter Egger, 2005. "On the Impact of Transportation Costs on Trade in a Multilateral World," Southern Economic Journal, John Wiley & Sons, vol. 71(3), pages 592-606, January.
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    More about this item

    Keywords

    trade efficiency; endogenous stochastic frontier model; endogeneity; system GMM; ASEAN;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • F15 - International Economics - - Trade - - - Economic Integration

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