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Factors Influencing the Temporal Diffusion of Broadband Adoption: Evidence from Oklahoma

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  • Whitacre, Brian E.

Abstract

This paper examines the shifting influence of household characteristics and telecommunications infrastructure on the residential broadband adoption decision for Oklahoma residents between 2003 and 2006. In particular, the spread of wired telecommunications infrastructure (namely cable Internet and Digital Subscriber Lines (DSL)) is examined, along with the effect that this diffusion has had on broadband access rates. The data indicates that the gap in broadband access rates between rural and urban areas has remained relatively constant over this period despite increased levels of cable and DSL throughout the state. In addition, an inter-temporal decomposition shows that the increasing levels of infrastructure are not the dominant cause of higher broadband rates over time. Instead, shifting returns to specific characteristics (namely income) are found to be the primary contributors.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:saeaed:6934
    DOI: 10.22004/ag.econ.6934
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    References listed on IDEAS

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    1. Fairlie, Robert W., 2003. "An Extension of the Blinder-Oaxaca Decomposition Technique to Logit and Probit Models," Center Discussion Papers 28425, Yale University, Economic Growth Center.
    2. Flamm, Kenneth & Chaudhuri, Anindya, 0. "An analysis of the determinants of broadband access," Telecommunications Policy, Elsevier, vol. 31(6-7), pages 312-326, July.
    3. Bradford F. Mills & Brian E. Whitacre, 2003. "Understanding the Non‐Metropolitan—Metropolitan Digital Divide," Growth and Change, Wiley Blackwell, vol. 34(2), pages 219-243, June.
    4. Strover, Sharon, 2001. "Rural internet connectivity," Telecommunications Policy, Elsevier, vol. 25(5), pages 331-347, June.
    5. Tony H. Grubesic, 2003. "Inequities in the broadband revolution," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 37(2), pages 263-289, May.
    6. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    7. Anh T. Le & Paul W. Miller, 2004. "Inter‐Temporal Decompositions of Labour Market and Social Outcomes," Australian Economic Papers, Wiley Blackwell, vol. 43(1), pages 10-20, March.
    8. Chaudhuri, Anindya & Flamm, Kenneth S. & Horrigan, John, 0. "An analysis of the determinants of internet access," Telecommunications Policy, Elsevier, vol. 29(9-10), pages 731-755, October.
    9. Brian E. Whitacre & Bradford F. Mills, 2007. "Infrastructure and the Rural—urban Divide in High-speed Residential Internet Access," International Regional Science Review, , vol. 30(3), pages 249-273, July.
    10. Mario Denni & Harald Gruber, 2006. "The diffusion of broadband telecommunications: the role of competition," Departmental Working Papers of Economics - University 'Roma Tre' 0060, Department of Economics - University Roma Tre.
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    Cited by:

    1. Manlove, Jacob & Whitacre, Brian, 2019. "Understanding the trend to mobile-only internet connections:A decomposition analysis," Telecommunications Policy, Elsevier, vol. 43(1), pages 76-87.
    2. Oughton, Edward J. & Amaglobeli, David & Moszoro, Marian, 2023. "What would it cost to connect the unconnected? Estimating global universal broadband infrastructure investment," Telecommunications Policy, Elsevier, vol. 47(10).
    3. Tony H. Grubesic, 2015. "The Broadband Provision Tensor," Growth and Change, Wiley Blackwell, vol. 46(1), pages 58-80, March.
    4. Lawrence Brown, 2010. "The market and infrastructure perspective: a missing link in understanding the diffusion of broadband adoption in Oklahoma," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 235-238, August.
    5. Whitacre, Brian & Gallardo, Roberto, 2020. "State broadband policy: Impacts on availability," Telecommunications Policy, Elsevier, vol. 44(9).
    6. Renkow, Mitch, 2011. "Residential Broadband Availability: Evidence from Kentucky and North Carolina," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(2), pages 145-157, September.
    7. Stern, Michael J. & Adams, Alison E. & Boase, Jeffrey, 2011. "Rural Community Participation, Social Networks, and Broadband Use: Examples from Localized and National Survey Data," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(2), pages 1-14, August.
    8. Turk, Tomaž & Trkman, Peter, 2012. "Bass model estimates for broadband diffusion in European countries," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 85-96.
    9. Ramírez-Hassan, Andrés & Carvajal-Rendón, Daniela A., 2021. "Specification uncertainty in modeling internet adoption: A developing city case analysis," Utilities Policy, Elsevier, vol. 70(C).
    10. Brian Whitacre, 2010. "The market and infrastructure perspective: reply," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 239-243, August.
    11. Elizabeth A. Mack, 2015. "Variations in the Broadband-Business Connection across the Urban Hierarchy," Growth and Change, Wiley Blackwell, vol. 46(3), pages 400-423, September.

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    More about this item

    Keywords

    Public Economics; Research and Development/Tech Change/Emerging Technologies;

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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