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Technological Utilization in Africa: How Do Institutions Matter?

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Technology and Innovation for Social Change

Abstract

Though quite a lot has been said about the role technology (e.g. Information and Communication Technology – ICT) can play in economic growth of countries, not much is known on how institutions and economic development can influence the relationship especially in Africa where available indicators show low level of ICT utilisation. Based on the above, we examine how institutional quality and economic development can interact to determine the extent of ICT utilisation in 45 African countries. The main results show that a unit improvement in institutional quality and human capital development will advance the level of ICT utilisation. We submit that human capital development that is built on strong institutional quality is crucial if African countries greatly desire to enhance ICT utilisation and optimally experience the associated benefits.

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Notes

  1. 1.

    The countries include: Algeria, Angola, Benin, Botswana, Burkina Faso, Cameroon, Cape Verde, Central Africa Republic, Chad, Comoros, Congo Republic, Cote d’Ivoire, Democratic Republic of Congo, Djibouti, Egypt, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea Bissau, Guinea, and Kenya. Others are: Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Morocco, Mozambique, Namibia, Niger, Nigeria, Senegal, South Africa, Sudan, Swaziland, Tanzania, Togo, Tunisia, Uganda, Zambia, and Zimbabwe.

  2. 2.

    The respective country fixed effect was not reported as it was not the main focus of the study and for sake of brevity.

  3. 3.

    The Sargan/Hansen test is asymptotically distributed as a chi-square with degree of freedom equal to the number of instruments less the number of parameters. For the model to be correctly specified, the variables in the instrument set should be uncorrelated with the idiosyncratic component of the error term.

References

  • Acemoglu D (2010) Institutions, factor prices and taxation: virtues of strong states? Am Econ Rev 100(2):115–119

    Article  Google Scholar 

  • Acemoglu D, Robinson J (2008) The role of institutions. Commission on Growth and Development working paper, no. 10

    Google Scholar 

  • Arellano M, Bond S (1991) Some tests of specification for panel data: Monte Carlo evidence and an application for employment equations. Rev Econ Stud 58(2):277–297

    Article  Google Scholar 

  • Baliamoune-Lutz M (2003) An analysis of the determinants and effects of ICT diffusion in developing countries. Inf Technol Dev 10:151–169

    Article  Google Scholar 

  • Bayo-Moriones JA, Lera-Lopez F (2007) A firm level analysis of determinants of ICT adoption in Spain. Technovation 27:352–366

    Article  Google Scholar 

  • Beilock R, Dimitrova DV (2003) An exploratory model of inter-country internet diffusion. Telecommun Policy 27:237–252

    Article  Google Scholar 

  • Carr DL, Markusen JR, Maskus K (2001) Estimating the knowledge-capital model of the multinational enterprise. Am Econ Rev 91:693–708

    Article  Google Scholar 

  • Caselli F, Coleman W (2001) Cross-country technology diffusion: the case of computers. Am Econ Rev 91:328–335

    Article  Google Scholar 

  • Chari VV, Hopenhayn H (1991) Vintage human capital, growth and the diffusion of new technology. J Polit Econ 99:1142–1165

    Article  Google Scholar 

  • Cohen D (2002) Human capital and HIV epidemic in sub-Saharan Africa. World Bank, Geneva

    Google Scholar 

  • Columbus S (2012) Is the mobile phone a disruptive technology? A partial review of evidence from developing economies. In: Ekekwe N, Islam N (eds) Disruptive technologies, innovation and global redesign: emerging implications. IGI Global, New York

    Google Scholar 

  • Dimitrios B, Ourania D (2003) Information technology utilisation and ecommerce developments in Greece, with a focus on small to medium-sized enterprises. Electron Mark 13(4):309–324

    Article  Google Scholar 

  • Dirk WV (2006) Foreign direct investment and development: an historical perspective. Overseas Development Institute, World Economy and Social Survey, Background Paper

    Google Scholar 

  • Fosu AK (2011) Terms of trade and growth of resource economies: a tale of two countries. UNU-WIDER, working paper, no.2011/28

    Google Scholar 

  • Fosu AK, O’Connell SA (2006) Explaining African economic growth: the role of anti-growth syndromes. In: Bourguignon F, Pleskovic B (eds) Annual bank conference on development economics. World Bank, Washington, DC

    Google Scholar 

  • Greif A (2006) Institutions and the path to the modern economy: lessons from medieval trade. University Press, Cambridge

    Book  Google Scholar 

  • Grubler A (1991) Diffusion: long-term patterns and discontinuities. Technol Forecast Soc Chang 39:159–180

    Article  Google Scholar 

  • Guerrieri P, Luciani M, Meliciani V (2011) The determinants of investment in information and communication technologies. Bruges European Economic Research Papers Nos 16

    Google Scholar 

  • Haller S, Traistaru-Siedschlag I (2007) The adoption of ICT: firm-level evidence from Irish manufacturing industries. Economic and Social Research Institute (ESRI) working paper no. 204

    Google Scholar 

  • Hargittai E (1999) Weaving the western web: explaining differences in internet connectivity among OECD countries. Telecommun Policy 23:701–718

    Article  Google Scholar 

  • International Telecommunication Union (2010) Information and communication technology (ICT) statistics. Available at http://www.itu.int/ITU-D/ict/. [25.06.2012]

  • Jensen R (1982) Adoption and diffusion of an innovation of uncertain profitability. J Econ Theory 27:182–193

    Article  Google Scholar 

  • Jovanovic B, Lach S (1997) Product innovation and the business cycle. Int Econ Rev 38(1):3–22

    Article  Google Scholar 

  • Kaufmann D, Kraay A, Mastruzzi M (2009) Governance matters VIII: aggregate and individual governance indicators, 1996-2008’. World Bank Policy Research. Working paper no. 4978

    Google Scholar 

  • Kiiski C, Pohjola M (2002) Cross country diffusion of the internet. Inf Econ Policy 14:297–310

    Article  Google Scholar 

  • Luciani M, Padoan PC (2007) Endogenizing ICT: quantitative results. In: Guerrieri P, Padoan PC (eds) Modeling ICT as a general purpose technology, Collegium, pp 147-171

    Google Scholar 

  • Mills G (2010) Why Africa is poor and what Africans can do about it. Penguin Publishers, New York

    Google Scholar 

  • Mudzonga E (2012) ‘Farmers’ adaptation to climate change in Chivi district of Zimbabwe.’ Presented at the TRAPCA trade policy research forum, Arusha, Tansania, 7-8 Aug 2012

    Google Scholar 

  • Mukoyama T (2003) A theory of technological diffusion. Available at http://129.3.20.41/eps/mac/papers/0303/0303010.pdf. [26.07.2012]

  • Musa P, Meso P, Mbarika V (2005) Toward sustainable adoption of technologies for human development in Sub-Saharan Africa: precursors, diagnostics and prescriptions. Commun Assoc Inf Syst 15(33):1–30

    Google Scholar 

  • Norris P (2000) The worldwide digital divide: information poverty, the internet and development. Available at: http://www.hks.harvard.edu/fs/pnorris/Acrobat/psa2000dig.pdf . [27.08.2012]

  • North DC (1991) Institutions. J Econ Perspect 5(1):97–112

    Article  Google Scholar 

  • North DC (1994) Economic performance through time. Am Econ Rev 84(3):359–368

    Google Scholar 

  • Osabuohien E, Efobi U (2011) Trade outcomes in Africa’s regional economic communities and institutional quality: some policy prescriptions. Petrol-Gas Univ Ploiesti Econ Sci Series LXIII(4):19-32

    Google Scholar 

  • Osabuohien ES, Efobi UR (2012) Technological diffusion and economic progress in Africa: challenges and opportunities. In: Ekekwe N, Islam N (eds) Disruptive technologies, innovation and global redesign: emerging implications. IGI Global, New York

    Google Scholar 

  • Osabouhien ES, Efobi UR (2013) Africa’s money in Africa’. South African Journal of Economics 81(2):292–306

    Article  Google Scholar 

  • Osabouhien ES, Efobi UR (2014) Africa’s money in Africa: human and physical dimensions’. In: Sahoo S, Pattanaik BK (eds) Global Diaspora and development: socioeconomic, cultural and policy perspectives. Springer, New Delhi, pp 87–104

    Chapter  Google Scholar 

  • Rodrik D (2008) Second-best institutions. Am Econ Rev 98(2):100–104

    Article  Google Scholar 

  • Rogers EM (1995) Diffusion of innovations. Free Press, New York

    Google Scholar 

  • Sanjeev K, Ourvashi B (2006) Do better institutions shrink income inequality in developing economies? Evidence from Latin America and Sub-Saharan Africa. Available at http://www.pegnet.ifw-kiel.de/activities/sobhee-bis.pdf

  • Uaiene RN, Arndt C, Masters WA (2009) Determinants of agricultural technology adoption in Mosambique, discussion papers no. 67E, National directorate of the studies and policy analysis, Ministry of Planning and Development, Mosambique

    Google Scholar 

  • United Nations Development Programme-UNDP (2010) International Human Development Indicators. Available at http://hdrstats.undp.org/en/tables/default.html. [28.09.2012]

  • United Nations Economic Commission for Africa-UNECA (2010) Economic report on Africa: promoting high-level sustainable growth to reduce unemployment in Africa. UNECA, Addis Ababa

    Google Scholar 

  • Williamson OE (2000) The new institutional economics: taking stock, looking ahead. J Econ Lit 38(3):595–613

    Article  Google Scholar 

  • World Bank (2011) World development indicators. World Bank, Washington, DC

    Google Scholar 

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Correspondence to Uchenna R. Efobi .

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Efobi, U.R., Osabuohien, E.S. (2015). Technological Utilization in Africa: How Do Institutions Matter?. In: Majumdar, S., Guha, S., Marakkath, N. (eds) Technology and Innovation for Social Change. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2071-8_5

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