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Determinants of the Digital Divide: Evidence from France

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  • Mathilde Aubouin

Abstract

The COVID-19 crisis accelerated the digital transition and reinforced households' existing digital divide. This paper aims to identify determinants of digital inequalities in access, usage, and type of usage in France and the reasons for the non-access to the internet. Using French Institute of Statistics (INSEE) surveys between 2007 and 2019, we show that generation, education, and income are significant determinants of digital consumption. The gender digital gap exists only among older generations. The digital divide is mainly a problem of internet access in France. Disparities in usage narrow once an individual has access to and uses the internet. Based on our results, we recommend investing in digital education and implementing financial support to reduce the digital divide.

Suggested Citation

  • Mathilde Aubouin, 2022. "Determinants of the Digital Divide: Evidence from France," EconomiX Working Papers 2022-22, University of Paris Nanterre, EconomiX.
  • Handle: RePEc:drm:wpaper:2022-22
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    1. Smaranda Pantea, 2014. "Has the digital divide been reversed? – Evidence from five EU countries," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 11(1), pages 13-42, December.
    2. repec:ipt:wpaper:2013-06 is not listed on IDEAS
    3. Gardes, Francois & Duncan, Greg J. & Gaubert, Patrice & Gurgand, Marc & Starzec, Christophe, 2005. "Panel and Pseudo-Panel Estimation of Cross-Sectional and Time Series Elasticities of Food Consumption: The Case of U.S. and Polish Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 242-253, April.
    4. Verbeek, Marno & Nijman, Theo, 1993. "Minimum MSE estimation of a regression model with fixed effects from a series of cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 125-136, September.
    5. Imai, Katsushi S. & Annim, Samuel Kobina & Kulkarni, Veena S. & Gaiha, Raghav, 2014. "Women’s Empowerment and Prevalence of Stunted and Underweight Children in Rural India," World Development, Elsevier, vol. 62(C), pages 88-105.
    6. Castellacci, Fulvio & Tveito, Vegard, 2018. "Internet use and well-being: A survey and a theoretical framework," Research Policy, Elsevier, vol. 47(1), pages 308-325.
    7. Goldfarb, Avi, 2006. "The (teaching) role of universities in the diffusion of the Internet," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 203-225, March.
    8. Thor Berger & Carl Benedikt Frey, 2016. "Structural Transformation in the OECD: Digitalisation, Deindustrialisation and the Future of Work," OECD Social, Employment and Migration Working Papers 193, OECD Publishing.
    9. Prieger, James E. & Hu, Wei-Min, 2008. "The broadband digital divide and the nexus of race, competition, and quality," Information Economics and Policy, Elsevier, vol. 20(2), pages 150-167, June.
    10. Pierre Montagnier & Albrecht Wirthmann, 2011. "Digital Divide: From Computer Access to Online Activities – A Micro Data Analysis," OECD Digital Economy Papers 189, OECD Publishing.
    11. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    12. Pénard, Thierry & Poussing, Nicolas & Suire, Raphaël, 2013. "Does the Internet make people happier?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 46(C), pages 105-116.
    13. Schleife, Katrin, 2010. "What really matters: Regional versus individual determinants of the digital divide in Germany," Research Policy, Elsevier, vol. 39(1), pages 173-185, February.
    14. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
    15. Barry Eichengreen, 2015. "Secular Stagnation: The Long View," American Economic Review, American Economic Association, vol. 105(5), pages 66-70, May.
    16. Bartikowski, Boris & Laroche, Michel & Jamal, Ahmad & Yang, Zhiyong, 2018. "The type-of-internet-access digital divide and the well-being of ethnic minority and majority consumers: A multi-country investigation," Journal of Business Research, Elsevier, vol. 82(C), pages 373-380.
    17. Bernard, Jean-Thomas & Bolduc, Denis & Yameogo, Nadège-Désirée, 2011. "A pseudo-panel data model of household electricity demand," Resource and Energy Economics, Elsevier, vol. 33(1), pages 315-325, January.
    18. 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.
    19. Hitt, Lorin & Tambe, Prasanna, 2007. "Broadband adoption and content consumption," Information Economics and Policy, Elsevier, vol. 19(3-4), pages 362-378, October.
    20. Considine, Timothy J & Mount, Timothy D, 1984. "The Use of Linear Logit Models for Dynamic Input Demand Systems," The Review of Economics and Statistics, MIT Press, vol. 66(3), pages 434-443, August.
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    More about this item

    Keywords

    Digital Divide; Internet use; Internet access; Pseudo-panel methods; France;
    All these keywords.

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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