Using Panel Data Analysis to Uncover Drivers of E-Participation Progress

Princely Ifinedo, Amar Anwar, Danny Cho

OAI: oai:igi-global.com:277189 • DOI: 10.4018/JGIM.2021050109

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.

Global Information Technology Computer Science and Information Technology IT Research and Theory