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Understanding the Non-Metropolitan-Metropolitan Digital Divide

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Author Info

  • Bradford F. Mills
  • Brian E. Whitacre

Abstract

Abstract A consistent gap exists between home Internet use in metropolitan areas and in non-metropolitan areas in the U.S. This digital divide may stem from technology differences in home Internet connectivity. Alternatively, differences in education, income, and other household attributes may explain differences in metropolitan and non-metropolitan area home Internet access. Effective programs to reduce the metropolitan-non-metropolitan digital divide must be based on an understanding of the relative roles that technology and household characteristics play in determining differential Internet usage. The household Internet adoption decision is modeled using a logit estimation approach with data from the 2001 U.S. Current Population Survey Internet and Computer Use Supplement. A decomposition of separate metropolitan and non-metropolitan area estimates shows that differences in household attributes, particularly education and income, account for 63 percent of the current metropolitan-non-metropolitan digital divide. The result raises significant doubts that policies which focus solely on infrastructure and technology access will mitigate the current metropolitan-non-metropolitan digital divide. Copyright 2003 Gatton College of Business and Economics, University of Kentucky..

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Bibliographic Info

Article provided by Gatton College of Business and Economics, University of Kentucky in its journal Growth and Change.

Volume (Year): 34 (2003)
Issue (Month): 2 ()
Pages: 219-243

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Handle: RePEc:bla:growch:v:34:y:2003:i:2:p:219-243

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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0017-4815

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Cited by:
  1. Eva Ventura & Albert Satorra, 2014. "A multiple indicator model for panel data: an application to ICT area-level variation," Economics Working Papers 1419, Department of Economics and Business, Universitat Pompeu Fabra.
  2. Whitacre, Brian E. & Mills, Bradford F., 2006. "A Need for Speed? Rural Internet Connectivity and the No access / Dial-up / High-speed Decision," 2006 Annual meeting, July 23-26, Long Beach, CA 21272, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Andrea Bonaccorsi & Lucia Piscitello & Cristina Rossi, 2005. "Explaining The Territorial Adoption Of New Technologies - A Spatial Econometric Approach," ERSA conference papers ersa05p92, European Regional Science Association.
  4. Schleife, Katrin, 2006. "Regional Versus Individual Aspects of the Digital Divide in Germany," Darmstadt Discussion Papers in Economics 35976, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute of Economics (VWL).
  5. Renkow, Mitch, 2011. "Residential Broadband Availability: Evidence from Kentucky and North Carolina," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(2), August.
  6. Yook, Seungyun & Jung, Yumi, 2012. "What drives individuals to access the internet mostly using a cell phone?," 19th ITS Biennial Conference, Bangkok 2012: Moving Forward with Future Technologies - Opening a Platform for All 72535, International Telecommunications Society (ITS).
  7. Pichitkul, Araya & Mitomo, Hitoshi, 2012. "Demand for internet: Empirical comparison between urban and rural subscribers in Thailand," 19th ITS Biennial Conference, Bangkok 2012: Moving Forward with Future Technologies - Opening a Platform for All 72505, International Telecommunications Society (ITS).
  8. Rotem-Mindali, Orit, 2010. "E-tail versus retail: The effects on shopping related travel empirical evidence from Israel," Transport Policy, Elsevier, vol. 17(5), pages 312-322, September.
  9. Schleife, Katrin, 2006. "Regional versus individual aspects of the digital divide in Germany," ZEW Discussion Papers 06-85, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  10. BEN YOUSSEF, Adel & METHAMEM, Raouchen & M'HENNI, Hatem, 2009. "Disparités régionales et diffusion des TIC en Tunisie
    [Regional disparities and ICTs diffusion in Tunisia]
    ," MPRA Paper 17938, University Library of Munich, Germany, revised 2009.
  11. Punj, Girish, 2012. "Income effects on relative importance of two online purchase goals: Saving time versus saving money?," Journal of Business Research, Elsevier, vol. 65(5), pages 634-640.
  12. Brian Whitacre, 2010. "The market and infrastructure perspective: reply," The Annals of Regional Science, Springer, vol. 45(1), pages 239-243, August.
  13. Schleife, Katrin, 2008. "Regional Versus Individual Aspects of the Digital Divide in Germany," ZEW Discussion Papers 06-85 [rev.2], ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  14. Brian Whitacre, 2008. "Factors influencing the temporal diffusion of broadband adoption: evidence from Oklahoma," The Annals of Regional Science, Springer, vol. 42(3), pages 661-679, September.
  15. Whitacre, Brian E., 2008. "Factors Influencing the Temporal Diffusion of Broadband Adoption: Evidence from Oklahoma," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6934, Southern Agricultural Economics Association.

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