The Flying Geese Metaphor: Export-Oriented Manufactures in Mexico

REFERENCES

• Akamatsu K. (1962) A historical pattern of economic growth in developing countries, Journal of Developing Economies 1, 3–25. doi:10.1111/j.1746-1049.1962.tb00811.x
   Google Scholar
• Barkley D. L. (1988) The decentralization of high-technology manufacturing to nonmetropolitan areas, Growth and Change 19, 13–30. doi:10.1111/j.1468-2257.1988.tb00459.x
   Web of Science ®Google Scholar
• Bernard M. and Ravenhill J. (1995) Beyond product cycles and flying geese: regionalization, hierarchy, and the industrialization of East Asia, World Politics 47, 171–209. doi:10.1017/S0043887100016075
   Web of Science ®Google Scholar
• Biles J. J. (2004) Export-oriented industrialization and regional development: a case study of maquiladora production in Yucatan, Mexico, Regional Studies 38, 519–534. doi:10.1080/0143116042000229294
   Web of Science ®Google Scholar
• Buitelaar R. M. and Padilla R. P. (2000) Maquila, economic reform and corporate strategies, World Development 28, 1627–1642. doi:10.1016/S0305-750X(00)00041-3
   Web of Science ®Google Scholar
• Canas J. and Gilmer R. W. (2007) Mexico regulatory change redefines maquiladora, Crossroads – Economic Trends in the Desert Southwest ( Federal Reserve Bank of Dallas) 1, 6–8.
   Google Scholar
• Canas J. and Gilmer R. W. (2009) The maquiladora’s changing geography, Southwest Economy ( Federal Reserve Bank of Dallas) 2, 10–14.
   Google Scholar
• Carrillo J. and Gomis R. (2003) Challenge for maquiladoras given the loss of competitiveness, Comercio Exterior 53, 318–327.
   Google Scholar
• Carrillo J. and Hualde A. (1998) Third generation maquiladoras? The Delphi–General Motors case, Journal of Borderlands Studies 13, 79–97. doi:10.1080/08865655.1998.9695510
   Google Scholar
• Clark G. L. and Wrigley N. (1995) Sunk costs: a framework for economic geography, Transactions of the Institute of British Geographers 20, 204–223. doi:10.2307/622432
   Web of Science ®Google Scholar
• Duranton G. and Puga D. (2001) Nursery cities: urban diversity, process innovation, and the lifecycle of products, American Economic Review 91, 1454–1477. doi:10.1257/aer.91.5.1454
   Web of Science ®Google Scholar
• Echeverri-Carroll E. L. (1994) Flexible linkages and offshore assembly facilities in developing countries, International Regional Science Review 17, 49–73. doi:10.1177/016001769401700103
   Web of Science ®Google Scholar
• Edgington D. W. and Hayter R. (2000) Foreign direct investment and the flying geese model: Japanese electronics firms in Asia-Pacific, Environment and Planning A 32, 281–304. doi:10.1068/a31171
   Web of Science ®Google Scholar
• El Diario (2013) Producira Blackberry sus ‘smartphones’ en Juarez, El Diario (Ciudad Juarez) 12 December, 1.
   Google Scholar
• Erickson R. A. (1976) The filtering-down process: industrial location in a non-metropolitan area, Professional Geographer 28, 254–260. doi:10.1111/j.0033-0124.1976.00254.x
   Web of Science ®Google Scholar
• Fairris D., Popli G. and Zepeda E. (2008) Minimum wages and the wage structure in Mexico, Review of Social Economy 66, 181–208. doi:10.1080/00346760701691489
   Google Scholar
• Gereffi G., Martinez M. and Bair J. (2002) Torreon: the new blue jeans capital of the world, in Gereffi G., Spener D. and Bair J. (Eds) Free Trade and Uneven Development: The North American Apparel Industry after NAFTA, pp. 203–223. Temple University Press, Philadelphia, PA.
   Google Scholar
• Ginzburg A. and Simonazzi A. (2005) Patterns of industrialization and the flying-geese model: the case of electronics in East Asia, Journal of Asian Economics 5, 1051–1078. doi:10.1016/j.asieco.2004.11.003
   Google Scholar
• Gruben W. C. (2006) NAFTA, trade diversion and Mexico's textiles and apparel boom and bust, Southwest Economy ( Federal Reserve Bank of Dallas) 5, 11–13.
   Google Scholar
• Hansen N. (1981) Mexico's border industry and the international division of labor, Annals of Regional Science 15, 1–12. doi:10.1007/BF01287435
   PubMed Web of Science ®Google Scholar
• Hayter R. and Edgington D. W. (2004) Flying geese in Asia: the impacts of Japanese MNCs as a source of industrial learning, Tijdschrift voor Economische en Sociale Geografie 95, 3–26. doi:10.1111/j.0040-747X.2004.00290.x
   Web of Science ®Google Scholar
• Instituto Nacional de Estadistica Geografia e Informatica (INEGI) (1980, 1990, 2000) X, XI, XII censo general de poblacion y vivienda. INEGI, Aguascalientes.
   Google Scholar
• Instituto Nacional de Estadistica Geografia e Informatica (INEGI) (1991, 1999, 2007) Estadistica de la industria maquiladora de exportacion 1979–1989, 1993–1998, 2000–2006. INEGI, Aguascalientes.
   Google Scholar
• Instituto Nacional de Estadistica Geografia e Informatica (INEGI) (2008) Salario minimo general promedio de los Estados Unidos Mexicanos. INEGI, Aguascalientes.
   Google Scholar
• Jordaan J. A. (2011) FDI, local sourcing, and supportive linkages with domestic suppliers: the case of Monterrey, Mexico, World Development 39, 620–632. doi:10.1016/j.worlddev.2010.08.012
   Web of Science ®Google Scholar
• Jordaan J. A. and Sanchez-Reaza J. (2006) Trade liberalization and location: empirical evidence for Mexican manufacturing industries, Review of Regional Studies 36, 279–303.
   Google Scholar
• Kenney M. and Florida R. (1994) Japanese maquiladoras: production organization and global commodity chains, World Development 22, 27–44. doi:10.1016/0305-750X(94)90166-X
   Web of Science ®Google Scholar
• MacLachlan I. and Aguilar A. G. (1998) Maquiladora myths: locational and structural change in Mexico's export manufacturing industry, Professional Geographer 50, 315–331. doi:10.1111/0033-0124.00123
   Web of Science ®Google Scholar
• Norton R. D. and Rees J. (1979) The product cycle and the spatial decentralization of American manufacturing, Regional Studies 13, 141–151. doi:10.1080/09595237900185121
   Web of Science ®Google Scholar
• Partridge M., Olfert M. R. and Alasia A. (2007) Canadian cities as regional engines of growth: agglomeration and amenities, Canadian Journal of Economics 40, 39–68. doi:10.1111/j.1365-2966.2007.00399.x
   Web of Science ®Google Scholar
• Ravenhill J. (2006) Is China an economic threat to Southeast Asia?, Asian Survey 46, 653–674. doi:10.1525/as.2006.46.5.653
   Web of Science ®Google Scholar
• Samstad J. G. and Pipkin S. (2005) Bringing the firm back in: local decision making and human capital development in Mexico's maquiladora sector, World Development 33, 805–822. doi:10.1016/j.worlddev.2005.01.008
   Web of Science ®Google Scholar
• Sargent J. and Matthews L. (2004) What happens when relative costs increase in export processing zones? Technology, regional production networks, and Mexico's maquiladoras, World Development 32, 2015–2030. doi:10.1016/j.worlddev.2004.07.003
   Web of Science ®Google Scholar
• Sargent J. and Matthews L. (2008) Capital intensity, technology intensity, and skill development in post China/WTO maquiladoras, World Development 36, 541–559. doi:10.1016/j.worlddev.2007.04.015
   Web of Science ®Google Scholar
• Secretaria de Economia (1986, 1996, 2006) Directorio Nacional de la Industria Maquiladora de Exportacion. Secretaria de Economia, Mexico, D.F.
   Google Scholar
• South R. B. (2007) Spatial variations in Mexican maquiladora closure, Urban Geography 27, 734–756. doi:10.2747/0272-3638.27.8.734
   Web of Science ®Google Scholar
• Suarez-Villa L. (1984) The manufacturing process cycle and the industrialization of the United States–Mexico borderlands, Annals of Regional Science 18, 1–23. doi:10.1007/BF01291328
   PubMed Web of Science ®Google Scholar
• Taylor M. (1986) The product-cycle model: a critique, Environment and Planning A 18, 751–761. doi:10.1068/a180751
   Web of Science ®Google Scholar
• The New York Times (2002) City feels effects of plant closing in 2004, The New York Times 26 December, A 26.
   Google Scholar
• The New York Times (2007) Is there (middle class) life after Maytag?, The New York Times 26 August, 3–1.
   Google Scholar
• Vernon R. (1966) International investment and international trade in the product cycle, Quarterly Journal of Economics 80, 190–207. doi:10.2307/1880689
   Web of Science ®Google Scholar