Abstract
Abstract. Kenya seeks to transform into a middle-income country by 2030 with target annual growth rates of 10 percent. However, this has not been realized since growth rates are under 10 percent while 36 percent of the population lives below the poverty line. Various studies interpret this as an underperformance. However, this study held the view that the economic growth witnessed in the years 2007 to 2018pointed to a resilient economy characterized by average steady growth rates of 5.4 percent despite the deterioration of the global economic outlook. This resilience coincided with the adoption of e-commerce, increased output in absolute values and emphasis of Information and Communication Technology as a key industry under the economic pillar of the Kenya Vision 2030. The period also saw the emergence of mobile payment gateways, which is a key enabler for E-commerce among others. E-commerce activities increase efficiency and ease of doing business by reducing costs and barriers of operation, which are important for achieving economic growth in transition countries such as Kenya. The main objective of the study was to investigate the effect of e-commerce on output and total factor productivity. The study developed a framework following the neoclassical and endogenous growth theories. The study used quarterly time-series data from the period 2007 to 2018 and applied Ordinary Least Squares regression models. The results showed that e-commerce had a positive effect on output. The effect of e-commerce on Total Factor Productivity was positive when considering the value of mobile payments while that of card payments was negative. The results suggest that continued investments towards e-commerce in terms of capital and mobile payments technology will be important for Kenya to sustain output growth and productivity increase.
Keywords. E-commerce, ICT, Output, Mobile payments, Total factor productivity.
JEL. 011, 033, 041, 047, P24.References
Agénor, P. (2005). The macroeconomics of poverty reduction. Manchester School of Social and Economic Studies, 73(1), 369-434.
Ahmed, S.H. (2013). The impact of e-commerce on labour productivity in Iranian manufacturing SMEs. Middle-East Journal of Scientific Research, 15(7), 1005-1020. doi. 10.5829/idosi.mejsr.2013.15.7.2001
Aquilars, M., & Kalio, J.M. (2012). Analysis of economic growth in Kenya: Growth accounting and total factor productivity. Journal of Business Management and Applied Economics, 6(3), 1-22.
Bosworth, B.A. (2003). The Empirics of Growth: An Update. Brookings Institution. Washington.
Bresnahan, T.F. (1995). General purpose technologies: Engines of growth?. Journal of Econometrics, 65(1), 83-108. doi. 10.1016/0304-4076(94)01598-T
Chen, J.-R., & Liu, T.-K. (2015). The impact of e-commerce adoption on total factor productivity an empirical study of Taiwanese manufacturing firms. [Retrieved from].
Chen, T. K.(2013). E-commerce, Externalities and Productivity. National Central University, Taiwan and Chaoyang University of Technology, Taiwan.
Communications Authority of Kenya, (2013). Annual Report (2012-2013). Annual Report, Communications Authority of Kenya, Nairobi. [Retrieved from].
Communications Authority of Kenya. (2016). Annual Report (2015 - 2016). Annual Report, Communications Authority of Kenya, Nairobi. [Retrieved from].
Communications Authority of Kenya. (2017). Annual Report (2016-2017). Annual Report, Communications Authority of Kenya, Nairobi. [Retrieved from].
Communications Commission of Kenya. (2008). Annual Report (2007 - 2008). Annual Report, Communications Commission of Kenya, Nairobi. [Retrieved from].
Deloitte, A. (2015). Future of e-Commerce: Uncovering Innovation. [Retrieved from].
Elseoud, M.S. (2014). Electronic commerece and economics growth in Saudi Arabia. International Journal of Economics, Commerce and Management, 5(2), 1-16.
Fikkert, A.V. (2002). Estimating the contributions of capital and labor to GDP: An instrumental variable approach. The University of Chicago Press, 50(3), 693-708. doi. 10.1086/342250
Hakim, B.H., Karingi, S.N., Njuguna, A.E., Jallab, M.S. (2009). Growth, productivity and diversification in Africa. 33(2), 125-146. doi. 10.1007/sl 1123-009-0155-5
Harridge-March, S. (2004). Electronic marketing, the new kid on the block. The Business School, Oxford Brookes University.
Howitt, P.A. (1992). A model for growth through creative destruction. Econometrica, 60(2), 323-351. doi. 10.2307/2951599
Huirong, J. (2014). The study of dynamic effect relationships between the e-commerce, the logistics and economic growth based on the VAR model. International Journal of u- and e- Service, Science and Technology, 7(3), 187-196.
International Trade Centre, (2015). International E-commerce in Africa: The Way Forward. Technical paper, International Trade Centre. [Retrieved from].
James M.M.C. (2013). Disruptive Technologies: Advances that will Transform Life, Business, and the Global Economy. McKinsey Global Institute . [Retrieved from].
Kenya National Bureau of Statistics, (2016). Enterprise ICT Survey Report. Kenya National Bureau of Statistics. Nairobi: Kenya National Bureau of Statistics. [Retrieved from].
Kuznets, S. (1941). Concept of National Income. (a.b. Simon Kuznets, Ed.) National Income and Its Composition, 1, 1-60.
Kuznets, S. (1966). Modern Economic Growth: Rate Structure and Spread. New Haven. Yale University. Yale University Press.
Levy, D. (1989). Aggregate output, capital and labor in the post war U.S economy. Economic Letters, 33(1), 41-45. doi. 10.1016/0165-1765(90)90198-A
Lu, T.-K. L.-C. (2011). Information technology and total factor productivity. African Journal of Business Management, 5(14), 5895-5899. doi. 10.5897/AJBM11.188
Marcel, P., & Timmer, A.A. (2013). Slicing Up Global Value Chains. University of Groningen, The Netherlands, Faculty of Economics and Business. [Retrieved from].
Masini, I.J. (2003). Explaining Kenya's Economic Growth Performance: An Econometric Study. Nairobi, Kenya: Unpublished M.A. Project Paper presented to the University of Nairobi. [Retrieved from].
Mirko-Draca, R.S. (2006). Productivity and ICT: A Review of the Evidence. London School of Economics and Political Science. London: Centre for Economic Performance. [Retrieved from].
Moorhouse, R.T. (2008). The changing role of procurement: Developing professional effectiveness. Journal of Purchasing and Supply Management, 14(1), 55-68. doi. 10.1016/j.pursup.2008.01.005
Mwangi, S.K., Francis, M.M., & Njuguna, S.N. (2016). Understanding the African lions: Growth traps and opportunities in six dominant African economies. The African Lions: Kenya Country Case Study, No.32. The Brookings Institute. [Retrieved from].
Mwega, F. (2008). Explaining African economic growth performance: The case of Kenya. [Retrieved from].
Noor, S.S. (2009). ICT adoption in small and medium enterprises: An empirical evidence of service sectors in Malaysia. International Journal of Business and Management, 4(2), 112-125. doi. 10.5539/ijbm.v4n2p112
Organization of Economic Co-operation and Development, (2004). African Economic Outlook. Nairobi: African Development Bank/Organization of Economic Development.
Organization of Economic Co-operation and Development, (2002). African Economic Outlook. Nairobi: African Development Bank/Organization of Economic Development.
Organization of Economic Co-operation and Development, (2006). African Economic Outlook 2005-2006. Nairobi: African Development Bank/Organization of Economic Development.
Republic of Kenya, (2007). Kenya Vision 2030. Nairobi. [Retrieved from].
Rincon, A., Robinson, C., & Vecchi, M. (2001). The productivity impact of e-commerce in the UK, 2001: Evidence from microdata. NIESR, 257, 1-26. [Retrieved from].
Rincon, A., Vecchi, M., & Venturini, F. (2005). ICT as a general purpose technology: Spillovers, absorptive capacity and productivity performance. National Institute of Economic and Social Research, Discussion Paper, No.416. [Retrieved from].
Romer, D. (2006). Advanced Macroeconomics, Mcgraw–hill.
Sarvenaz, H.K.E.M. (2013). The impact of e-Commerce on labour productivity in Iranian manufacturing SMEs. Middle-East Journal of Scientific Research, 15(7), 1006-1020. doi. 10.5829/idosi.mejsr.2013.15.7.2001
Seker, F.S. (2011). Total factor productivity across the developing world. The World Bank and Internation Finance Corporation. [Retrieved from].
Siegel, C.J. (1997). External capital factors and increasing returns in U.S. manufacturing. The Review of Economics and Statistics, 79(4), 647-654. doi. 10.1162/003465397557051
Siegel, C.J. (2001). The impacts of technology. Trade and outsourcing of employmnent on labor composition. The Scandinavian Journal of Economics, 103(2), 241-264. doi. 10.1111/1467-9442.00243
Sixun, L. (2013). An empirical study on e-commerce’s effects on economic growth. International Conference on Education Technology and Management Science. Xiamen. [Retrieved from].
Solow, R. (1957). Technical change and the aggregate production function. The Review of Economics and Statistics, 39(3), 312-320. doi. 10.2307/1926047
Stiroh, K.J. (2002). Information technology and the U.S. productivity revival: A review of the evidence. American Economic review, 92(5), 1559-1576. doi. 10.1257/000282802762024638
Timmer, R.I. (2013). Capital, labor and TFP in PWT8.0. University of Groningen, Groningen Growth and Development Centre. University of Groningen. [Retrieved from].
United Nations Conference on Trade and Development, (UNCTAD). (2017). B2C e-commerce index 2017. UNCTAD Technical Notes on ICT for Development, No.9. [Retrieved from].
World Bank, (2010). Kenya at the tipping point? with a special focus on the ICT revolution and mobile money. Kenya Economic Update, No.3. [Retrieved from].
World Bank, (2016). Doing business 2016: Comparing busines regulation for domestic firms in 189 economies. World Bank. World Bank. [Retrieved from].
