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Does ICT in schools affect residential adoption and adult utilization outside schools?

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  • Tengtrakul, Pitikorn
  • Peha, Jon M.

Abstract

Policymakers around the world are considering whether to invest in putting information and communication technology (ICT) in schools, and how. While educational impact is likely to be the primary objective, such investments can also affect residential adoption and adult utilization of ICT in the communities, thereby reducing the digital divide. Using a census survey of Thailand for a time when ICT was available in roughly half of the nation’s schools, this study employs logistic regression and propensity score matching (PSM) to show that placing ICT in schools does have significant spill-over effects outside schools. This effect is larger for ICT in primary schools than secondary schools, and larger in schools with both Internet and computers than schools with just computers. The effects are observed in households of all incomes and educational levels. Considering these spill-over effects when allocating resources should lead to greater welfare gains for the amount of resources spent. The study also finds that there is a sizable portion of the adult population that chooses not to use ICT even after adopting this ICT in their households for their children, thereby eliminating any barriers to use related to cost and convenience. For this group, policy-makers should seek ways to decrease other impediments to ICT use, such as increasing ICT literacy through training.

Suggested Citation

  • Tengtrakul, Pitikorn & Peha, Jon M., 2013. "Does ICT in schools affect residential adoption and adult utilization outside schools?," Telecommunications Policy, Elsevier, vol. 37(6), pages 540-562.
  • Handle: RePEc:eee:telpol:v:37:y:2013:i:6:p:540-562
    DOI: 10.1016/j.telpol.2013.01.002
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    References listed on IDEAS

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    1. Ilyana Kuziemko, 2011. "Human Capital Spillovers in Families: Do Parents Learn from or Lean on their Children?," NBER Working Papers 17235, National Bureau of Economic Research, Inc.
    2. Tengtrakul, Pitikorn & Peha, Jon M., 2011. "Access to and penetration of ICT in rural Thailand," Telecommunications Policy, Elsevier, vol. 35(2), pages 141-155, March.
    3. Savage, Scott J. & Waldman, Donald, 2005. "Broadband Internet access, awareness, and use: Analysis of United States household data," Telecommunications Policy, Elsevier, vol. 29(8), pages 615-633, September.
    4. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    5. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2005. "Why the Apple Doesn't Fall Far: Understanding Intergenerational Transmission of Human Capital," American Economic Review, American Economic Association, vol. 95(1), pages 437-449, March.
    6. Lucila Berniell & Dolores de la Mata & Nieves Valdés, 2013. "Spillovers Of Health Education At School On Parents' Physical Activity," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1004-1020, September.
    7. S. J. Liebowitz & Stephen E. Margolis, 1994. "Network Externality: An Uncommon Tragedy," Journal of Economic Perspectives, American Economic Association, vol. 8(2), pages 133-150, Spring.
    8. Jang, Show-Ling & Dai, Shau-Chi & Sung, Simona, 2005. "The pattern and externality effect of diffusion of mobile telecommunications: the case of the OECD and Taiwan," Information Economics and Policy, Elsevier, vol. 17(2), pages 133-148, March.
    9. Robert Kraut & Tridas Mukhopadhyay & Janusz Szczypula & Sara Kiesler & Bill Scherlis, 1999. "Information and Communication: Alternative Uses of the Internet in Households," Information Systems Research, INFORMS, vol. 10(4), pages 287-303, December.
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    Cited by:

    1. Rodrigo Belo & Pedro Ferreira & Rahul Telang, 2016. "Spillovers from Wiring Schools with Broadband: The Critical Role of Children," Management Science, INFORMS, vol. 62(12), pages 3450-3471, December.
    2. Frederico Cruz-Jesus & Tiago Oliveira & Fernando Bacao & Zahir Irani, 0. "Assessing the pattern between economic and digital development of countries," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    3. Frederico Cruz-Jesus & Tiago Oliveira & Fernando Bacao & Zahir Irani, 2017. "Assessing the pattern between economic and digital development of countries," Information Systems Frontiers, Springer, vol. 19(4), pages 835-854, August.

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