Research Article of Journal of Theoretical and Applied Economics
Determinants of Internet Adoption and Use in Eritrea: Evidences From the City of Asmara
1Fitsum Ghebregiorgis and 2Habteab Tekie Mhreteab
1Department of Business Management and Marketing College of Business and Economics
2Department of Economics College of Business and Economics
The objective of this paper is to determine what factors stimulate or hinder the adoption and usage of the Internet by analyzing data collected from 300 respondents from the city of Asmara, Eritrea in the year 2017. We adopted a micro-econometric approach (Multinomial logit model -MNL) and the paper identifies six significant determinants and estimated their impact with the help of econometric tests. The results show that internet users in the city of Asmara tend to be young and in better living conditions. The probability of using the Internet is also higher for people with better English ability and for individuals’ who have better computer savvy. Moreover, Internet users are more likely to have close family members and friends who also use the internet. These results provide evidence of not only digital divide in the Internet access, but also in the usage patterns in the city.
Keywords: Internet adoption, usage, developing country, Eritrea.
How to cite this article:
Fitsum Ghebregiorgis and Habteab Tekie Mhreteab, Vinyl Ester/Glass Microballoon Syntactic Foams with Low Density. Journal of Theoretical and Applied Economics, 2017; 1:1. DOI:10.28933/JTAE-2017-10-2801
1 Algers, S., Lindsqvist Dillén, J. and Widlert, S. (1995), The national Swedish value of time study, Trafikdagepå Aalborg Universitet.Transportrådet, Aalborg, Denmark 1995
2 Amaeshi B.O, Ayanwu EU, Oparaku DC (2006). Characteristics of Internet users in Nigeria: The case of Owerri Metropolis, Imo State. Ref. Libn. 1: 8-14
3 Anunobi C. V. and F. C. Mbagwu (2009), Determinants of internet use in Imo State, Nigeria, Educational Research and Review Vol. 4 (9), pp. 436-442, September, 2009 available online at http://www.academicjournals.org/err, ISSN 1990-3839 © 2009.
4 Beilock, R., Dimitrova, D.V., (2003), “An Exploratory Model of Inter-country Internet Diffusion”, Telecommunications Policy, Vol. 27, pp. 237-252.
5 Drouard, J. (2010), Computer Literacy, Online Experience or Socioeconomic Characteristics: What are the Main Determinants of Internet Adoption and Internet Usage? Communications and Strategies, Vol.1(80), 83-104.
6 Fekadu, Dereje (2006), Analysis of determinants of business demand for internet access in Addis Ababa, unpublished Thesis Submitted to the School of Graduate Studies of Addis Ababa University in Partial Fulfillment of the Requirements for the Degree of MSc in Economic Policy Analysis.
7 Gillwald, A., Milek, A. and Stork, C., (2010), Towards Evidence-based ICT Policy and Regulation Gender Assessment of ICT Access and Usage in Africa. Research ICT Africa, Working Paper1, Policy Paper 5.
8 Greene, W. (2000), Econometric analysis, 4th ed. Prentice-Hall, Inc. Ltd. UK 2001.
9 Greene, W. (2003), Econometric Analysis, fifth ed. Pearson Education, New Jersey.
10 Hargittai, E. (2002), “Second-Level Digital Divide. Differences in People’s Online Skills”, First Monday, Peer-Reviewed Journal on the Internet, Available at http://www.firstmonday.dk/issues/issue7_4/hargittai
11 Jagboro KO (2003). ‘A study of Internet usage in Nigerian universities a case study of ObafemiAwolowo University, Ile-Ife, Nigeria.’ First Monday,8(2) Viewed July 6, 2006 http://firstmonday.org/issues/issue 8_2/jagboro/inden.html).
12 Madden, G., Coble-Neal, G., Dalzell, B. (2004), “A Dynamic Model of Mobile Telephony Subscription Incorporating a Network Effect”, Telecommunications Policy, Vol. 28, pp.133-144.
13 McFadden D (1974). Conditional Logit Analysis of Qualitative Choice Behavior’ in P. Zarembka (ed) Frontiers in Econometrics, New York: Academic Press, pp. 105-142.
14 Miller T.E (1996). Segmenting the Internet-Internet users by age, survey by Find/SVP American Demographics Viewed November 20, 2007 http:////findarticles.com/p/articles/m1_m4021/1s_n7_v18/ai18440641.
15 Palesh O, Saltzman K, Koopman C (2004). ‘Internet use and attitudes towards illicit Internet use behaviour in a sample of Russian College Students’ Cyber Psychological Behaviour 7: 553-558.
16 Penard T., N. Poussing, P. N. Ella, G. Z.Yebe, (2012), Comparing the Determinants of Internet and Cell Phone Use in Africa : Evidence from Gabon,working paper, WP 2012-17, CNRS.
17 Savolainen R, and Kari J (2004). ‘Placing the Internet in information sourcehorizons.A study of information seeking by Internet users in the content of self-development’. Libri Info. Sci. Res. 26: 415-433.
18 Telecommunication Indicators (2004), International Telecommunications Unions, CH-1211 Geneva Switzerland
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