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Market formation as transitive closure: The evolving pattern of trade in music

Published online by Cambridge University Press:  16 December 2015

JESSE C. SHORE
JESSE C. SHORE*
Affiliation:
Information Systems Department, Boston University, Boston, Massachusetts, USA (e-mail: [email protected])
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Abstract

Where do new markets come from? I construct a network model in which national markets are nodes and flows of recorded music between them are links and conduct a longitudinal analysis of the global pattern of trade in the period 1976–2010. I hypothesize that new export markets are developed through a process of transitive closure in the network of international trade. When two countries' markets experience the same social influences, it brings them close enough together for new homophilous ties to be formed. The implication is that consumption of foreign products helps, not hurts, home-market producers develop overseas markets, but only in those countries that have a history of consuming the same foreign products that were consumed in the home market. Selling in a market changes what is valued in that market, and new market formation is a consequence of having social influences in common.

Keywords

market developmentinternational tradeinformation goodssocial influencehomophilynetwork evolutionmusic industry
Type
Research Article
Information
Network Science , Volume 4 , Issue 2 , June 2016 , pp. 164 - 187
Copyright
Copyright © Cambridge University Press 2015 

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References

African Union. (2005). Nairobi plan of action for cultural industries in Africa. First Ordinary Session of AU Conference of Ministers of Culture Nairobi, Kenya.Google Scholar
Amsden, A. H. (2001). The rise of “the rest:” challenges to the west from late-industrializing economies. New York: Oxford University Press.Google Scholar
Anderson, J. E. (1979). A theoretical foundation for the gravity equation. American Economic Review, 69 (1), 106–116.Google Scholar
Aral, S., Muchnik, L., & Sundararajan, A. (2009). Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. PNAS, 106 (51), 21544–21549.Google Scholar
Burt, R. S. (2004). Structural holes and good ideas. American Journal of Sociology, 110 (2), 349–399.Google Scholar
Carlile, P. (2002). A pragmatic view of knowledge and boundaries: Boundary objects in new product development. Organization Science, 13 (4), 442–455.Google Scholar
Chaney, T. (2014). The Network Structure of International Trade. American Economic Review, 104 (11), 3600–3634.Google Scholar
Chu-Shore, J. (2010). Homogenization and specialization effects of international trade. World Development, 38 (1), 37–47.Google Scholar
Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1, Special Issue: Technology, Organizations and Innovation): 128–152.Google Scholar
COMTRADE. (2012a). United Nations Comtrade Database. Retrieved from http://comtrade.un.org/. Accessed March 2012.Google Scholar
COMTRADE. (2012b). Areas not elsewhere specified. United Nations Comtrade Database. Retrieved from http://comtrade.un.org/. Accessed March 2012.Google Scholar
COMTRADE. (2012c). Taiwan, Province of China trade data. United Nations Comtrade Database. Retrieved from http://comtrade.un.org/ “Taiwan, Province of China Trade data” Knowledgebase article Accessed March 2012.Google Scholar
Dupagne, M., & Waterman, D. (1998). Determinants of U.S. television fiction imports in Western Europe. Journal of Broadcasting and Electronic Media, 42 (2), 208–220.Google Scholar
Hausmann, R., Hwang, J., & Rodrik, D. (2007). What you export matters. Journal of Economic Growth, 12 (1), 1–25.Google Scholar
Henry, R. (2001). Caribbean music in the international context: Dancing to the beat of a small place. Music Industry Workshop, Third United Nations Conference on the Least Developed Countries, Proceedings of the Youth Forum (pp. 59–64). Brussels: United Nations.Google Scholar
Hidalgo, C. A., Klinger, B., Barabasi, A. L., & Hausmann, R. (2007). The product space conditions the development of nations. Science, 317 (5837), 482–487.Google Scholar
Holme, P., & Zhao, J. (2007). Exploring the assortativity-clustering space of a network's degree sequence. Physical Review E, 75 (4).Google Scholar
Hoskins, C., Mirus, R., & Rozeboom, W. (1989). U.S. programs in the international market: Unfair pricing?. Journal of Communication, 39 (2), 55–75.Google Scholar
Huang, R. R. (2007). Distance and trade: Disentangling unfamiliarity effects and transport cost effects. European Economic Review, 51 (1), 161–181.Google Scholar
IFPI. (1992, 1998, 1999, 2005). The record industry in numbers. London: International Federation of the Phonograph Industry (IFPI).Google Scholar
Krugman, P. (1980). Scale economies, product differentiation, and the pattern of trade. American Economic Review, 70 (5), 950–959.Google Scholar
Krugman, P. (1991). Increasing returns and economic geography. Journal of Political Economy, 99 (3), 483–499.Google Scholar
Lakoff, G. (1987). Women, fire and dangerous things: What categories reveal about the mind. Chicago: University of Chicago Press.Google Scholar
Lee, F. L. F. (2006). Cultural discount and cross-culture predictability: Examining the box office performance of american movies in Hong Kong. Journal of Media Economics, 19 (4), 259–278.Google Scholar
Lee, S-W., & Waterman, D. (2007). Theatrical feature film trade in the United States, Europe, and Japan since the 1950s: An empirical study of the home market effect. Journal of Media Economics, 20 (3), 167–188.Google Scholar
Linder, S. B. (1961). An essay on trade and transformation. New York: John Wiley & Sons.Google Scholar
Maines, D. R. (1977). Social organization and social structure in symbolic interactionist thought. Annual Review of Sociology, 3, 235–259.Google Scholar
Malmberg, A., & Maskell, P. (1997). Towards an explanation of regional specialization and industry agglomeration. European Planning Studies, 5 (1), 25–41.Google Scholar
Massey, F. J. (1951). The Kolmogorov-Smirnov test for goodness of fit. Journal of the American Statistical Association, 46 (253), 68–78.Google Scholar
McNerney, J., Fath, B. D., & Silverberg, G. (2013). Network structure of inter-industry flows. Physica A: Statistical Mechanics and its Applications, 392 (24), 6427–6441.Google Scholar
Park, S. (2006). China's consumption of Korean television dramas: An empirical test of the “Cultural discount” concept. Korea Journal, 44 (4), 265–290.Google Scholar
Parker, G. G. & Van Alstyne, M. W. (2005). Two-sided network effects: A theory of information product design. Management Science, 51 (10), 1494–1504.Google Scholar
Polanyi, M. (1966). The tacit dimension. New York: Doubleday.Google Scholar
Polanyi, M., & Prosch, H. (1977). Meaning. Chicago: University of Chicago Press.Google Scholar
Rauch, J. E., & Trindade, V. (2009). Neckties in the tropics: A model of international trade and cultural diversity. Canadian Journal of Economics/Revue Canadienne d'Economique, 42 (3), 809–843.Google Scholar
Ricardo, D. (1891). Principles of political economy and taxation. London: George Bell and Sons.Google Scholar
Riccaboni, M., & Schiavo, S. (2014). Stochastic trade networks. Journal of Complex Networks, 2 (4), 537–556.Google Scholar
Ripley, R., Snijders, T. A. B., & Preciado, P. (2011). Manual for RSiena. University of Oxford: Department of Statistics; Nuffeld College.Google Scholar
Salganik, M. J., Dodds, P. S., & Watts, D. J. (2006). Experimental study of inequality and unpredictability in an artificial cultural market. Science, 311 (5762), 854–856.Google Scholar
Salganik, M. J., & Watts, D. J. (2009). Web-based experiments for the study of collective Social dynamics in cultural markets. Topics in Cognitive Science, 1 (3), 439–468.Google Scholar
Saramäki, J., & Kaski, K. (2004). Scale-free networks generated by random walkers. Physica A: Statistical Mechanics and its Applications, 341, 80–86.Google Scholar
Schultz, G. G. (1999). International trade in art. Journal of Cultural Economics, 23 (1), 109–136.Google Scholar
Serrano, M. A., & Boguñá, M. (2005). Tuning clustering in random networks with arbitrary degree distributions. Physical Review E, 72 (3), 036133.Google Scholar
Smith, A. (1776). An inquiry into the nature and causes of the wealth of nations. Oxford: Clarendon Press.Google Scholar
Snijders, T. A. B. (2001). The statistical evaluation of social network dynamics.. Sociological Methodology, 31 (1), 361–395.Google Scholar
Snijders, T. A. B. (2005). Models for longitudinal network data. Chapter 11 In Carrington, P., Scott, J., & Wasserman, S. (Eds.), Models and methods in social network analysis. New York: Cambridge University Press.Google Scholar
Snijders, T. A. B., Steglich, C. E. G., Schweinberger, M., & Huisman, M. (2007). Manual for Siena version 3. University of Groningen, ICS, Groningen. Oxford: University of Oxford, Department of Statistics.Google Scholar
Storper, M. (1992). The limits to globalization: Technology districts and international trade. Economic Geography, 68 (1), 60–93.Google Scholar
Storper, M., & Christopherson, S. (1987). Flexible specialization and regional industrial agglomerations: The case of the U.S. motion picture industry. Annals of the Association of American Geographers, 77 (1), 104–117.Google Scholar
UNESCO. (2005). Convention on the protection and promotion of the diversity of cultural expressions. Paris: UNESCO.Google Scholar
Vazquez, A. (2003). Growing network with local rules: Preferential attachment, clustering hierarchy, and degree correlations. Physical Review E, 67 (5), 056104.Google Scholar
Ward, M. D., Ahlquist, J. S., & Rozenas, A. (2013). Gravity's rainbow: A dynamic latent space model for the World Trade Network. Network Science, 1 (01), 95–118.Google Scholar
Wildman, S. S., & Siwek, S. E. (1988). International trade in films and television programs. Cambridge, MA: Ballinger.Google Scholar
Witt, U. (2001). A theory of wants and the growth of demand. Journal of Evolutionary Economics, 11 (1), 23–36.Google Scholar
World Trade Organization Council for Trade in Services. (1998). Audiovisual Services; Background Note by the Secretariat. WTO document 98–2437. Available at www.wto.org/english/tratope/serve/w40.doc.Google Scholar