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Using Panel Data Analysis to Uncover Drivers of E-Participation Progress: A Global Insight and Regional Perspectives

Using Panel Data Analysis to Uncover Drivers of E-Participation Progress: A Global Insight and Regional Perspectives

Princely Ifinedo, Amar Anwar, Danny Cho
Copyright: © 2021 |Volume: 29 |Issue: 3 |Pages: 24
ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781799859024|DOI: 10.4018/JGIM.2021050109
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MLA

Ifinedo, Princely, et al. "Using Panel Data Analysis to Uncover Drivers of E-Participation Progress: A Global Insight and Regional Perspectives." JGIM vol.29, no.3 2021: pp.212-235. http://doi.org/10.4018/JGIM.2021050109

APA

Ifinedo, P., Anwar, A., & Cho, D. (2021). Using Panel Data Analysis to Uncover Drivers of E-Participation Progress: A Global Insight and Regional Perspectives. Journal of Global Information Management (JGIM), 29(3), 212-235. http://doi.org/10.4018/JGIM.2021050109

Chicago

Ifinedo, Princely, Amar Anwar, and Danny Cho. "Using Panel Data Analysis to Uncover Drivers of E-Participation Progress: A Global Insight and Regional Perspectives," Journal of Global Information Management (JGIM) 29, no.3: 212-235. http://doi.org/10.4018/JGIM.2021050109

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Abstract

This paper examines and uncovers the key drivers of e-participation progress or growth over the years, globally and regionally. The authors used fixed-effects regression model on a panel data of variables gathered by reputable world organizations for an 8-year period – one of the largest examined to date. They tested a research model including GDP per capita, ICT infrastructure, secondary education enrolment, technological knowledge creation and outputs, and six governance indicators: voice and accountability, political stability, government effectiveness, regulatory quality, rule of law, and control of corruption. At the global level, the results indicate that e-participation progress is positively influenced by voice and accountability, GDP per capita, and ICT infrastructure. Analyses based upon six geographical regions of the world and countries' income-level classifications (i.e., low, low-middle, high-middle, high) show that determinants of e-participation progress vary by geographical and income-level contexts.