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Digital Divide: Barriers to Accessing Online Government Services in Canada

Author

Listed:
  • Vikkram Singh

    (Department of Global Management Studies, Ted Rogers School of Management, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada)

  • Joshua Chobotaru

    (Department of Global Management Studies, Ted Rogers School of Management, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada)

Abstract

This study investigates the digital divide in Canada related to access to online government services. Since digital equity can have welfare implications, it is an important area to explore. We use a bivariate logit model to estimate the determinants of access to e-government services. The results show significant disadvantages for females, those who cannot speak official languages, those living in rural areas and those in the lower quantiles of household income. Public policy measures such as infrastructure development in rural areas, improvement in digital equity and streamlining of e-government access can help address this issue.

Suggested Citation

  • Vikkram Singh & Joshua Chobotaru, 2022. "Digital Divide: Barriers to Accessing Online Government Services in Canada," Administrative Sciences, MDPI, vol. 12(3), pages 1-12, September.
    • Handle: RePEc:gam:jadmsc:v:12:y:2022:i:3:p:112-:d:905135
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    References listed on IDEAS

    as
    1. Gillian Petit & Lindsay M. Tedds, 2020. "The Effect of Differences in Treatment of the Canada Emergency Response Benefit across Provincial and Territorial Income Assistance Programs," Canadian Public Policy, University of Toronto Press, vol. 46(S1), pages 29-43, July.
    2. Singh, Vik, 2004. "Factors Associated with Household Internet Use in Canada, 1998-2000," Agriculture and Rural Working Paper Series 28034, Statistics Canada.
    3. Skinner, Harvey & Biscope, Sherry & Poland, Blake, 2003. "Quality of internet access: barrier behind internet use statistics," Social Science & Medicine, Elsevier, vol. 57(5), pages 875-880, September.
    4. Tewathia, Nidhi & Kamath, Anant & Ilavarasan, P. Vigneswara, 2020. "Social inequalities, fundamental inequities, and recurring of the digital divide: Insights from India," Technology in Society, Elsevier, vol. 61(C).
    5. Volker Liermann & Sangmeng Li, 2021. "Methods of Machine Learning," Springer Books, in: Volker Liermann & Claus Stegmann (ed.), The Digital Journey of Banking and Insurance, Volume III, pages 225-238, Springer.
    6. Beatrice Asenso Barnieh & Li Jia & Massimo Menenti & Min Jiang & Jie Zhou & Yelong Zeng & Ali Bennour, 2021. "Modeling the Underlying Drivers of Natural Vegetation Occurrence in West Africa with Binary Logistic Regression Method," Sustainability, MDPI, vol. 13(9), pages 1-37, April.
    7. Laura Robinson & Jeremy Schulz & Matías Dodel & Teresa Correa & Eduardo Villanueva-Mansilla & Sayonara Leal & Claudia Magallanes-Blanco & Leandro Rodriguez-Medina & Hopeton S. Dunn & Lloyd Levine & Ro, 2020. "Digital Inclusion Across the Americas and Caribbean," Social Inclusion, Cogitatio Press, vol. 8(2), pages 244-259.
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