IDEAS home Printed from https://ideas.repec.org/a/eee/iepoli/v23y2011i1p12-23.html
   My bibliography  Save this article

Coverage area expansion, customer switching, and household profiles in the Japanese broadband access market

Author

Listed:
  • Sunada, Mitsuru
  • Noguchi, Masato
  • Ohashi, Hiroshi
  • Okada, Yosuke

Abstract

This paper examines the diffusion process of Internet broadband access in Japan by modeling the household choice of access modes. Estimates reveal that the characteristics of users, rather than those of the access modes, play a significant role in demand substitution across the modes. Simulation exercises indicate that had optic fibers (fiber-to-the-home; FTTH) been made available to the whole country in 2005, only 10% of households would have switched to that mode. This result implies that once chosen, the household choice of access mode persists, and that indirect network effects are an important element in decisions to adopt the new technology of broadband. Finally, policy implications are discussed.

Suggested Citation

  • Sunada, Mitsuru & Noguchi, Masato & Ohashi, Hiroshi & Okada, Yosuke, 2011. "Coverage area expansion, customer switching, and household profiles in the Japanese broadband access market," Information Economics and Policy, Elsevier, vol. 23(1), pages 12-23, March.
    • Handle: RePEc:eee:iepoli:v:23:y:2011:i:1:p:12-23
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-6245(10)00032-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    2. Pereira, Pedro & Ribeiro, Tiago, 2011. "The impact on broadband access to the Internet of the dual ownership of telephone and cable networks," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 283-293, March.
    3. Kenneth E. Train & Daniel L. McFadden & Moshe Ben-Akiva, 1987. "The Demand for Local Telephone Service: A Fully Discrete Model of Residential Calling Patterns and Service Choices," RAND Journal of Economics, The RAND Corporation, vol. 18(1), pages 109-123, Spring.
    4. Gaynor, Martin & Vogt, William B, 2003. "Competition among Hospitals," RAND Journal of Economics, The RAND Corporation, vol. 34(4), pages 764-785, Winter.
    5. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    6. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    7. Eisner, James & Waldon, Tracy, 2001. "The demand for bandwidth: second telephone lines and on-line services," Information Economics and Policy, Elsevier, vol. 13(3), pages 301-309, September.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    9. Takanori Ida & Toshifumi Kuroda, 2006. "Discrete Choice Analysis of Demand for Broadband in Japan," Journal of Regulatory Economics, Springer, vol. 29(1), pages 5-22, January.
    10. Kenneth A. Small & Clifford Winston & Jia Yan, 2005. "Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability," Econometrica, Econometric Society, vol. 73(4), pages 1367-1382, July.
    11. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    12. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    13. Gary Madden & Michael Simpson, 1997. "Residential broadband subscription demand: an econometric analysis of Australian choice experiment data," Applied Economics, Taylor & Francis Journals, vol. 29(8), pages 1073-1078.
    14. Goldfarb, Avi & Prince, Jeff, 2008. "Internet adoption and usage patterns are different: Implications for the digital divide," Information Economics and Policy, Elsevier, vol. 20(1), pages 2-15, March.
    15. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Belloc, Filippo & Nicita, Antonio & Alessandra Rossi, Maria, 2012. "Whither policy design for broadband penetration? Evidence from 30 OECD countries," Telecommunications Policy, Elsevier, vol. 36(5), pages 382-398.
    2. Wolfgang Briglauer, 2014. "The impact of regulation and competition on the adoption of fiber-based broadband services: recent evidence from the European union member states," Journal of Regulatory Economics, Springer, vol. 46(1), pages 51-79, August.
    3. Matej Švigelj & Nevenka Hrovatin, 2019. "Analysis of household broadband technology preferences in Slovenia," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(4), pages 407-422, December.
    4. Sudtasan, Tatcha & Mitomo, Hitoshi, 2016. "Effects of OTT services on consumer's willingness to pay for optical fiber broadband connection in Thailand," 27th European Regional ITS Conference, Cambridge (UK) 2016 148709, International Telecommunications Society (ITS).
    5. Sudtasan, Tatcha & Mitomo, Hitoshi, 2018. "The Internet of Things as an accelerator of advancement of broadband networks: A case of Thailand," Telecommunications Policy, Elsevier, vol. 42(4), pages 293-303.
    6. Hrovatin, Nevenka & Švigelj, Matej, 2013. "The interplay of regulation and other drivers of NGN deployment: A real-world perspective," Telecommunications Policy, Elsevier, vol. 37(10), pages 836-848.
    7. Dutz Mark A. & Orszag Jonathan M. & Willig Robert D., 2012. "The Liftoff of Consumer Benefits from the Broadband Revolution," Review of Network Economics, De Gruyter, vol. 11(4), pages 1-34, December.
    8. Sadowski, Bert M., 2017. "Advanced users and the adoption of high speed broadband: Results of a living lab study in the Netherlands," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 1-14.
    9. Sudtasan, Tatcha & Mitomo, Hitoshi, 2017. "Willingness-to-pay for FTTH for secured and stable usage of OTT media streaming services," 28th European Regional ITS Conference, Passau 2017 169500, International Telecommunications Society (ITS).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    2. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 784-794, August.
    3. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    4. Bernard Fortin & Nicolas Jacquemet & Bruce Shearer, 2008. "Policy Analysis in Health-Services Market: Accounting for Quality and Quantity," Annals of Economics and Statistics, GENES, issue 91-92, pages 293-319.
    5. Useche, Pilar & Barham, Bradford & Foltz, Jeremy, 2006. "A Trait Specific Model of GM Crop Adoption by Minnesota and Wisconsin Corn Farmers," Working Papers 201525, University of Wisconsin-Madison, Department of Agricultural and Applied Economics, Food System Research Group.
    6. Stephane Hess & John W. Polak, 2004. "An analysis of parking behaviour using discrete choice models calibrated on SP datasets," ERSA conference papers ersa04p60, European Regional Science Association.
    7. Siikamaki, Juha & Layton, David F., 2007. "Discrete choice survey experiments: A comparison using flexible methods," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 122-139, January.
    8. Campbell, Danny & Hutchinson, W. George & Scarpa, Riccardo, 2006. "Using Discrete Choice Experiments to Derive Individual-Specific WTP Estimates for Landscape Improvements under Agri-Environmental Schemes: Evidence from the Rural Environment Protection Scheme in Irel," Sustainability Indicators and Environmental Valuation Working Papers 12220, Fondazione Eni Enrico Mattei (FEEM).
    9. Felipe Vásquez & Michael Hanemann, 2008. "Taste Indicators and Heterogeneous Revealed Preferences for Congestion in Recreation Demand," Working Papers 10-2008, Departamento de Economía, Universidad de Concepción.
    10. Chhandita Das & Christopher M. Anderson & Stephen K. Swallow, 2009. "Estimating Distributions of Willingness to Pay for Heterogeneous Populations," Southern Economic Journal, John Wiley & Sons, vol. 75(3), pages 593-610, January.
    11. Swait, Joffre, 2023. "Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms," Journal of choice modelling, Elsevier, vol. 47(C).
    12. Chiou, Lesley & Walker, Joan L., 2007. "Masking identification of discrete choice models under simulation methods," Journal of Econometrics, Elsevier, vol. 141(2), pages 683-703, December.
    13. Wang, Xuehong & Bennett, Jeff & Xie, Chen & Zhang, Zhitao & Liang, Dan, 2007. "Estimating non-market environmental benefits of the Conversion of Cropland to Forest and Grassland Program: A choice modeling approach," Ecological Economics, Elsevier, vol. 63(1), pages 114-125, June.
    14. Laura Mørch Andersen, 2013. "Obtaining reliable Likelihood Ratio tests from simulated likelihood functions," IFRO Working Paper 2013/1, University of Copenhagen, Department of Food and Resource Economics.
    15. Campbell, Danny, 2007. "Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7975, Agricultural Economics Society.
    16. Lee, Han Bum & McNamara, Paul E., 2017. "Deconcentrating the poor via public housing policy: What really matters?," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 67-78.
    17. Rudolph, Christian, 2016. "How may incentives for electric cars affect purchase decisions?," Transport Policy, Elsevier, vol. 52(C), pages 113-120.
    18. Useche, Pilar & Barham, Bradford L. & Foltz, Jeremy D., 2005. "A Trait Specific Model of GM Crop Adoption among U.S. Corn Farmers in the Upper Midwest," 2005 Annual meeting, July 24-27, Providence, RI 19202, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Ellerie Weber, 2014. "Measuring Welfare from Ambulatory Surgery Centers: A Spatial Analysis of Demand for Healthcare Facilities," Journal of Industrial Economics, Wiley Blackwell, vol. 62(4), pages 591-631, December.
    20. William Greene, 2001. "Fixed and Random Effects in Nonlinear Models," Working Papers 01-01, New York University, Leonard N. Stern School of Business, Department of Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:iepoli:v:23:y:2011:i:1:p:12-23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505549 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.