The Impact of Information and Communication Technology on Bilateral Trade in Goods
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32804
The Impact of Information and Communication Technology on Bilateral Trade in Goods

Authors: Christina Tay

Abstract:

This paper investigates the impact of Information and Communication Technology (ICT) on bilateral trade in goods. Empirical analysis is performed on the United States and 34 partnering countries from 2000 to 2013. Our econometric model fits the data well, explaining 52% of the variation in trade flows for goods trade, 53.2% of the variation in trade flows for goods export and 48% of the variation in trade flows for goods import. For every 10% increase in fixed broadband Internet subscribers per 100 people increases, goods trade by 7.9% and for every 5% increase in fixed broadband Internet subscribers per 100 people, goods export increases by 11%. For every 1% increase in fixed telephone line penetration per 100 people, goods trade increases by 26.3%, goods export increases by 24.4% and goods import increases by 24.8%. For every 1% increase in mobile-cellular telephone subscriptions, goods trade decreases by 29.6% and goods export decreases by 27.1%, whilst for every 0.01% increase in mobile-cellular telephone subscriptions, goods import decreases by 34.3%. For every 1% increase in the percentage of population who used the Internet from any location in the last 12 months Internet, goods trade increases by 32.5%, goods export increases by 38.9%, goods import increases by 33%. All our trade determinants as well as our ICT variables have significances on goods exports for the US. We can also draw from our study that the US relies more rather heavily on ICT for its goods export compared to goods import.

Keywords: Bilateral trade, goods trade, information and communication technologies, Internet.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1131059

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 769

References:


[1] Internet Live Stats, 1993-2014. Internet Users in the World (online), (cited 29 October 2015). Available from Internet: http://www.internetlivestats.com/internet-users/#byregion.
[2] J. Meltzer, “The Internet, cross-border data flows and international trade,” Issues in Technology and Innovation, no. 22, February 2013.
[3] ITU, Information and communicative technology data, (online), International Telecommunication Union (cited 23 October 2015). Available from Internet: http://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx, 2000-2015.
[4] World Bank, International Telecommunication Union, World Telecommunication/ ICT Development Report and database, and World Bank estimates, (online), (cited Dec. 21, 2016). Available from Internet: http://databank.worldbank.org/data/reports.aspx?source=2&series=IT.NET.USER.P2&country=#, 1990-2015.
[5] US Census Bureau, U.S. International Trade in Goods and Services Report (online), (cited 29 October 2015). Available from Internet: http://www.census.gov/foreign-trade/data/index.html, 1995-2014.
[6] K. Larsen, R. Morris, “Trade in educational services: trends and emerging issues,” World Economy, vol.25, no.6, pp. 849-68, 2002.
[7] J. Daly, R. R. Miller, “Corporations’ use of the Internet in developing countries,” Discussion Paper No. 35. The World Bank and International Finance Corporation, Library of Congress, Washington, D.C., 1998.
[8] G. R. G. Clarke, “Does Internet connectivity affect export performance? Evidence from the transition economies,” WIDER Discussion Papers // World Institute for Development Economics (UNU-WIDER), no. 2002/74, ISBN 929190273, 2002.
[9] C. Freund, D. Weinhold, “The effect of the Internet on international trade,” Journal of International Economics, no. 62, pp.171–189, 2004.
[10] G. R. G. Clarke, W.J. Wallsten, “Has the Internet increased trade? Developed and developing country evidence,” Economic Inquiry, vol. 44, no. 3, pp. 465–484, 2006.
[11] V. K. Vemuri, S. Siddiqi, “Impact of commercialization of the Internet on international trade: a panel study using the extended gravity model,” The International Trade Journal, vol. 23, no.4, pp. 458-484, 2009.
[12] US BEA, US Bureau of Economic Analysis, Department of Commerce. (online), (cited 23 October 2015), Available from Internet: http://bea.gov, 1999-2013.
[13] Internet World Stats, Internet usage and population in North America, (online), (cited 23 October 2015). Available from Internet: http://www.internetworldstats.com/stats14.htm#north, 2000-2013.
[14] US Central Intelligence Agency, (online), (cited 26 December 2016), Available at https://www.cia.gov/, 2000-2013.
[15] IMF, International Monetary Fund, (online), (cited 26 December 2016), Available at (http://www.imf.org/), 2000-2013.
[16] Mapcrow Travel Distance Calculator, (online), (cited 23 November 2016). Available from Internet: www.mapcrow.com, 2000-2013.
[17] S. Bouheas, P. O. Demetriades, T. P. Mamuneas, “Infrastructure, transport costs and trade,” Journal of International Economics, vol. 47, pp.169-189, 1999.
[18] I. M. Zarzoz, F. N. Lehmann “Augmented gravity model: an empirical application of Mercosur-European Union trade flows, Journal of Applied Economics, vol. 4, no. 2, pp.291-316, 2003.
[19] M. H. Kutner, C. J. Nachtsheim, J. Neter, and W. Li Applied linear statistical models. 5th ed. Boston: McGraw-Hill/Irwin, Vienna Institute for International Economic Studies, 2005.
[20] I. H. Cheng, H. J. Wall, “Controlling for heterogeneity in gravity models of trade and integration,” Federal Reserve Bank of St. Louis Review, vol. 87, no. 1, pp.49-63, 2005.