Amavilah, Voxi Heinrich and Otero, Abraham and Andres, Antonio Rodriguez (2021): Knowledge Economy Classification in African Countries: A Model-Based Clustering Approach. Published in: Information Technology for Development No. DOI: 10.1080/02681102.2021.1950597 (16 July 2021)
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Abstract
Knowledge economy (KE) has been a central issue in the political economic literature of advanced economies, but little research has focused on the transition towards a KE in Africa. Using a latent profile analysis, six clusters of the KE were found in the region. The clusters range from very prepared with good performance in all KE dimensions (institutional, education, and innovation output) to very unprepared with low performance inf each KE dimension. Lastly, we offer policy recommendations that shed some light on the national and international economic policies towards a more knowledge-oriented environment. One such recommendation is that effective policies should consider both the similarities and dissimilarities of African knowledge economies. How precise that can be done is one direction future research can take.
Item Type: | MPRA Paper |
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Original Title: | Knowledge Economy Classification in African Countries: A Model-Based Clustering Approach |
Language: | English |
Keywords: | Africa, model-based clustering; knowledge economy; cross-country comparisons; exploratory analysis |
Subjects: | C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C45 - Neural Networks and Related Topics O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O10 - General O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O34 - Intellectual Property and Intellectual Capital O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O35 - Social Innovation O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O55 - Africa P - Economic Systems > P0 - General > P00 - General P - Economic Systems > P4 - Other Economic Systems > P48 - Political Economy ; Legal Institutions ; Property Rights ; Natural Resources ; Energy ; Environment ; Regional Studies |
Item ID: | 109188 |
Depositing User: | Voxi Heinrich Amavilah |
Date Deposited: | 23 Aug 2021 09:20 |
Last Modified: | 23 Aug 2021 09:20 |
References: | Abad-González, J. and Martínez, R. (2017). Endogenous categorization of the human development. Applied Economics Letters, 24:4, 243–246. Acuña, E. and Rodríguez, C. (2004). The treatment of missing values and its effect on classifier accuracy. In: Banks D., McMorris F.R., Arabie P., Gaul W. (eds). Classification, Clustering, and Data Mining Applications. Studies in Classification, Data Analysis, and Knowledge Organisation. Springer, Berlin, Heidelberg. Agyapong B. G., and Oseifuah, E.K. (2015). Knowledge and economic growth: A comparative analysis of three regional blocks in Sub-Saharan Africa. Environmental Economics, 6(4-1): 196–208. Ahlquist, J., and Breunig, C. (2012). Model-based clustering and typologies in the social sciences. Political Analysis, 20: 92–112. Alfo, M., Trovato, G., and Waldmann, R. (2008). Testing for country heterogeneity in growth models using a finite mixture approach. Journal of Applied Econometrics, (4): 487–514. Amavilah, V. (2006). Non-parametric diversity indices of technical capability of African countries. African Development Review, 2(18): 205–220. Amavilah, V., Asongu, A., and Andrés, A.R (2017). Effects of globalization on peace and stability: Implications for governance and the knowledge economy of African countries. Technological Forecasting and Social Change, 122: 91–103. Andrés, A.R, Amavilah, V, and Asongu, A. (2017). Linkages between Formal Institutions, ICT Adoption, and Inclusive Human Development in Sub-Saharan Africa. Catalyzing development through ICT adoption: The Developing World Experience. Chapter 10. pp. 175-203. Editors. Dr. Ewa Lechman, Dr. Adam Marszk, and Dr. Harleen Kaur. Springer Verlag. Andrés, A.R., Asongu, S.A., and Amavilah, V.H. (2015). The impact of formal institutions on the knowledge economy. Journal of Knowledge Economy, 6(4): 1034–1062. Anyanwu, J. (2012). Developing knowledge for economic advancement in Africa. International Journal of Academic Research in Economics and Management Sciences, Vol. 1: 73–111. Archibugi, D., and Coco, A. (2004). A new indicator of technological capabilities for developed and developing countries (ArCo). World Development, 32(4): 629–654. Archibugi, D., and Coco, A. (2005). Measuring technological capabilities at the country level: A survey and a menu for choice. Research Policy, 34(2): 175–194. Archibugi, D., Denni, M., and Filippetti, A. (2009). The technological capabilities of nations: The state of the art of synthetic indicators. Technological Forecasting and Social Change, 76(7): 917–931. Arrow, K. (1962). Economic Welfare and the Allocation of Resources to Invention. In The Rate and Direction of Inventive Activity: Economic and Social Factors, edited by the Universities- National Bureau Committee for Economic Research and the Committee on Economic Growth of the Social Science Research Councils, 609–26. Princeton, NJ: Princeton University Press. Asongu, S., Andrés, A.R., and Amavilah, V. (2019). Business dynamics, knowledge economy, and the socio-economic development of African countries. Information Development, 36(1): 128–152 Asongu, S., Tchamyou, V., and AchaAnyi, P. (2018). Who is who in knowledge economy in Africa? Journal of the Knowledge Economy: 1–33. Azam, J.P., Fosu, A., and Ndung’u, N.S. (2002). Explaining slow growth in Africa. African Development Review,14(2): 177–220. Balijepally, V., Mangalaraj, G., and Iyengar, K. (2011). Are we wielding this hammer correctly? A reflective review of the application of cluster analysis in information systems research. Journal of the Association for Information Systems, 12(5), 375–413. Barro, R. (1991). Economic growth in a cross section of countries. The Quarterly Journal of Economics, 106(2): 407–443. Barro, R.J., and Lee, J.W. (1993). International comparisons of educational attainment. Journal of Monetary Economics, 32(3): 363–394. Baudry, J.P., Raftery, A., Celeux, G., Lo, K., Gottardo, R. (2010). Combining mixture components for clustering models. Journal of Computational and Graphical Statistics, 19 (2): 332–353. Bauer, D.F. (1972). Constructing confidence sets using rank statistics. Journal of the American Statistical Association, 67: 687–690. Becker, M. (2005). Development: Josep A. Schumpeter. Journal of Economic Literature, 1(XLII):108–111. Beretta, L., and Santaniello, A. (2016). Nearest neighbor imputation algorithms: A critical evaluation. BMC Medical Informatics and Decision Making, 16(3. Suppl 74):198–208. Bezdek, J. C., and Pal, N. R. (1998). Some new indexes of cluster validity. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 28(3), 301–315. Biernacki, C., Celeux, G., Govaert, G. (2000). Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Trans Pattern Analysis and Machine Intelligence, 22(7):719–725. Blackburn, K., Forgues-Puccio, G.F. (2010). Financial liberalization, bureaucratic corruption and economic development. Journal of International Money and Finance, 29(7), 1321–1339. Borgmann, A. (2006). Technology as a cultural force: For Alena and Griffin. The Canadian Journal of Sociology, 31(3), 351– 360. Burkov, A. (2019). The Hundred-Page Machine Learning Book. Kindle Direct Publishing, 1st Edition. Burnside, C., and Dollar, D. (1997). Aid policies, and growth. World Bank Policy Research Working Paper (1777). Carayannis, E.G., Clark, S.C., Valvi, D.E. (2013). Smartphone Affordance: Achieving Better Business Through Innovation. Journal of the Knowledge Economy, 4, 444–472. Carter, A.P. (1996). Measuring the performance of a knowledge-based economy. In D. Foray, & B.A. Lundvall (Eds). Employment and growth in the knowledge-based economy (pp. 61-68). Paris. Organisation for Economic Cooperation and Development. Castellacci, F. (2011). Closing the technology gap. Review of Development Economics, 15(1): 180–197. Castellacci, F., and Archibugi, D. (2008). The technology clubs: The distribution of knowledge across nations. Research Policy, 37: 1659–1673. Chavula, H.K. (2013). Telecommunications development and economic growth in Africa. Information Technology for Development, 19(1): 5–23 Chen, J., and Chen, Z. (2008). Extended Bayesian information criteria for model selection with large model spaces. Biometrika, 95 (3): 759–771. Chen, H., and Dahlman, C. (2006). The Knowledge Economy, the KAM Methodology, and World Bank Operations. World Bank Institute Working Paper 37256. The World Bank, Washington D.C. Clement, J. (2020). Social protection clusters in sub‐Saharan Africa. International Journal of Social Welfare, 29: 20–28. https://doi.org/10.1111/ijsw.12378 Collier, P. (2007). Africa’s economic growth: Opportunities and constraints. African Development Review, 19(1): 6–25 Collier, P., and Gunning, J.W. (1996). Policy towards commodity shocks in developing countries. IMF Working Paper 84. Collier, P., and Gunning, J.W. (1999a). Explaining African performance. Journal of Economic Literature, 37(1): 64–111. Collier, P., Gunning, J.W. (1999b). Why has Africa grown slowly? Journal of Economic Perspectives, 13(3): 3–22. Conway, P., and Greene, J. (1993). Is Africa different? World Development, 21 (12): 2017– 2028. Csereklyei, Z., Thurner, P., Langer, J., and Kuchenhoff, H. (2017). Energy paths in the European Union: A model-based clustering approach. Energy Economics, 65: 442–457. Datta, A., and Agarwal, S. (2004). Telecommunications and economic growth: A panel data approach. Applied Economics, 36(15): 1649–1654. Devarajan, S. (2013). Africa’s statistical tragedy. Review of Income and Wealth, 59(1): S9–S15. Dodgson, M., and Gann, D. (2018). Innovation: A Very Short Introduction. 2nd edition. Oxford: Oxford University Press. Dolowitz, D.P., and Marsh, D. (2000). Learning from abroad: the role of policy transfer in contemporary policy making. Governance, 13(1), 5–23 Driouchi, A., Azelmad, E.M., and Anders, G.C. (2006). An econometric analysis of the role of knowledge in economic performance. Journal of Technology Transfer, 31: 241–255. Drucker, P. (1969). The Age of Discontinuity. New York: Harper Business. Easterly, W. (2001). Can institutions resolve ethnic conflict? Economic Development and Cultural Change, 49: 687–706. Easterly, W., and Levine, R. (1997). Africa’s growth tragedy: Policies and ethnic divisions. Quarterly Journal of Economics, 112(4): 1203–1250. Englebert, P. (2000). Solving the mystery of the African dummy. World Development, 28(10): 1821–1835. European Commission (2020). Develop an Upgraded Single Market Scoreboard as a Governance Tool for the Single Market. Available at https://ec.europa.eu/internal_market/scoreboard/ Fop, M., and Murphy, T. (2018). Variable selection methods for model-based clustering. Statistics Surveys, 12: 18–65. Fraley, C., and Raftery, A. (1998). How many clusters? which clustering method? Answer via model-based cluster analysis. The Computer Journal, 8(41): 578–588. Fraley, C., and Raftery, A. (2002). Model-based clustering, discriminant analysis and density estimation. Journal of the American Statistical Association, 97: 611–631. Fruhwirth-Schnatter, S. (2011). Panel data analysis: A survey on model-based clustering of time series. Advances in Data Analysis and Classification. Theory, Methods, and Applications in Data Science, 5: 251–280. Springer. Fruhwirth-Schnatter, S., and Kaufmann, S. (2008). Model based-clustering of multiple time series. Journal of Business & Economic Statistics, 26: 78–89. Grant, D., and Yeo, B. (2018). A global perspective on tech investment, financing, and ICT on manufacturing and service industry performance. International Journal of Information Management, 43, 130–145. Grossman, G., and Helpman E. (1991). Innovation and Growth in the Global Economy Cambridge, Mass, MIT Press. Gyimah-Brempong, K., and Wilson, M. (2004). Health human capital and economic growth in Sub-Saharan African and OECD countries. Quarterly Review of Economics and Finance, 2(44): 296–320. Hair, Jr., J.F., Black, W.C., Babin, B.J., Anderson, R.E., and Tatham, R.L. (2006). Multivariate Data Analysis, 6th Edition. Upper Saddle River (NJ): Pearson Prentice Hall. Chapter 8. Hamdy, A. (2007). Survey of ICT and Education in Africa: Algeria Country Report. InfoDev ICT and Education Series. World Bank, Washington, DC. World Bank. https://openknowledge.worldbank.org/handle/10986/10683 License: CC BY 3.0 IGO. Havens, T. C., Bezdek, J. C., Keller, J. M., and Popescu, M. (2008, December). Dunn’s cluster validity index as a contrast measure of VAT images. In 2008 19th International Conference on Pattern Recognition (pp. 1-4). IEEE. Isaacs, S. (2007). Survey of ICT and Education in Africa: Botswana Country Report. InfoDev ICT and Education Series. World Bank, Washington, DC. World Bank. https://openknowledge.worldbank.org/handle/10986/10713 License: CC BY 3.0 IGO. Jain, A.K. (2010). Data clustering: 50 years beyond K-means. Pattern Recognition Letters, 31(8), 651–666. Jerven, M. (2011). The quest for the African dummy: Explaining African post-colonial economic performance revisited. Journal of International Development, 23(2): 288–307. Jerven, M. (2013). Poor Numbers: How we are misled by African development statistics and what to do about it. Ithaca. Cornell University Press Jung, Y.G., Kang, M.S, and Heo, J. (2014). Clustering performance comparison using K-means and expectation maximization algorithms. Biotechnology & Biotechnological Equipment, 28, sup1: S44–S48. Kaplinsky, R. (2005). Globalization, Inequality, and Poverty: Between a Rock and a Hard Place. Cambridge, UK: Polity. Knedlik, T., and Reinowski, E. (2008). The African growth gap, development policy, and the realization of the MDGs. New In book: African Development Perspectives Yearbook, No. 13 Edition: Publisher: LIT Verlag Editors: Wohlmuth et al Kochetkov, D. M., and Vlasov, M. V. (2016). Teoretiko-metodologicheskie podkhody k analizu ekonomiki znanii na regional'nom urovne [theoretical and methodological approaches to the analysis of the knowledge economy at the regional level]. Zhurnal ekonomicheskoi teorii [Russian Journal of Economic Theory], 4, 242–247. Krugman, P. (2013). The New Growth Fizzle. New York Times. Kruskal, W.H., and Wallis, W.A (1952). Use of ranks in one criterion variance analysis. Journal of American Statistical Association, 47: 583–621. Kuhn, M. (2008). Building predictive models in R using the caret package. Journal of Statistical Software. Articles, 28(5):1–26. Kumar, N. (2019). A model-based clustering approach for analyzing energy related financial literacy and its determinants. CER-ETH Economics working paper series 19/312, CER-ETH - Center of Economic Research (CERETH) at ETH Zurich. Landes, D. (1998) The Wealth and Poverty of Nations: Why Some Are So Rich and Some So Poor. New York: W.W. Norton. Levine, E., and Domany, E. (2001). Resampling method for unsupervised estimation of cluster validity. Neural Computation, 13(11): 2573–2593. Little, R.J.A., and Rubin, D.B. (2002). Statistical Analysis with Missing Data. Second Edition. John Wiley & Sons. Lucas R. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22: 3– 42. Lucas, R. (1993). Making a miracle. Econometrica, 61(2): 251–272. Lundvall, B. Å., Joseph, K., Chaminade, C. and Vang, J. (2009). Handbook on Innovation Systems and Developing Countries: Building Domestic Capabilities in a Global Setting, Edward Elgar. Machlup, F. (1962). The Production and Distribution of Knowledge in the United States. Princeton. Princeton University Press Mardia, K., Kent, J., and Bibby, J. (1979). Multivariate Analysis. Academic Press London. New York. Marfo, K., Pence, A., LeVine R.A., and LeVine, S. (2011). Strengthening Africa’s Contributions to Child Development Research: Introduction. Child Development Perspectives, 5, 104–111. Márquez, D.G., Félix, P., García, C. A., Tejedor, J., Fred, A. L., and Otero, A. (2019). Positive and negative evidence accumulation clustering for sensor fusion: An application to heartbeat clustering. Sensors, 19(21), 4635. Mauro, P. (1995). Corruption and economic growth. The Quarterly Journal of Economics, 110(3): 681–672. Mitchell, R., Rose, P., and Asare, S. (2020). Education research in Sub-Saharan Africa: Quality, visibility, and agendas. Comparative Education Review, 64(3), 363–383. Neath, A. A., and Cavanaugh, J.E. (2012). The Bayesian information criterion: background, derivation, and applications. Wiley Interdisciplinary Reviews: Computational Statistics, 4(2), 199–203. North, D.C. (1990). Institutions, Institutional Change and Economic Performance. Cambridge: Cambridge University Press. OECD (2005). Micro-policies for Growth and Productivity: Synthesis and Benchmarking user guide. Paris. OECD OECD (1996). The Knowledge Based Economy. Paris: OECD. Ouedraogo. R., Sourouema W.S., and Sawadogo, H. (2021). Aid, growth. and institutions in Sub-Saharan Africa: New insights using a multiple growth regime approach. World Economy, 44:107–142. Parcero, O.J., and Ryan, J.C. (2017). Becoming a knowledge economy: The case of Qatar, UAE, and 17 benchmark countries. Journal of the Knowledge Economy, 8, 1146–1173 Paz-Marín, M., Gutiérrez, P.A., and Martínez, C.H. (2018). Classification of countries’ progress toward a Knowledge economy based on machine learning classification. Expert Systems with Applications, 42: 562–672. Powell, W.W. and Snellman, K. (2004). The Knowledge Economy. Annual Review of Sociology, 30:1, 199–220 Qureshi, S. (2013). What is the role of mobile phones in bringing about growth? Information Technology for Development, 19(1): 1–4. Rao, L., and McNaughton, M. (2019). A knowledge broker for collaboration and sharing for SIDS: the case of comprehensive disaster management in the Caribbean. Information Technology for Development, 25(1), 26–48. Rebelo, S.T. (1990). Long run policy analysis and long run growth (No. w3325). National Bureau of Economic Research. R Core Team (2019). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. Rizk, N, El Said, A., Weheba, N., De Beer, J. (2017). Towards an Alternative Assessment for Innovation in Africa. Working Paper, Open AIR. Romer, P. (1986). Increasing returns and long run growth. Journal of Political Economy, 94(2): 1002–1037. Romer, P.M. (1990). Endogenous technological change. Journal of Political Economy, 98(5): S71–S102. Samoilenko, S., and Osei-Bryson, K.M. (2008). Increasing the discriminatory power of DEA in the presence of the sample heterogeneity with cluster analysis and decision trees. Expert Systems with Applications, 34(2), 1568-1581. Schumpeter, J.A. (2005). Development. Journal of Economic Literature, 43(1): 108–120. Scrucca, L., Fop, M., Murphy, T., and Raftery, A. (2016). mclust 5: Clustering, classification and density estimation using gaussian finite mixture models. The R Journal, 1(8): 289–317. Seo, H., and Thorson, S. (2016). A mixture model of global internet capacity distributions. Journal of the Association for Information Science and Technology, 67(8): 2032–2044. Shapira, P., Youtie, J., Yogeesvaran, K., and Jaafar, Z. (2006). Knowledge economy measurement: Methods, results, and insights from the Malaysian knowledge content study. Research Policy, 35(10): 1522–1537. Širá, E., Vavrek, R, Kravčáková V. Ivana, Kotulič, R. (2020). Knowledge economy indicators and their impact on the sustainable competitiveness of the EU countries. Sustainability, 12(10). Stigler, G. (1961). The economics of information. Journal of Political Economy, 69(3), 213–225. Stiglitz, J. (2015). Leaders and followers: Perspectives on the Nordic model and the economics of innovation. Journal of Public Economics, 127: 3–16. Sulkowski, A., and White, D. (2016). A happiness Kuznets curve? Using model-based cluster analysis to group countries based on happiness, development, income, and carbon emissions. Environment, Development, and Sustainability, 18(4):1095–1111. Therneau, T., and Atkinson, B. (2019). rpart: Recursive Partitioning and Regression Trees. R package version 4.1–15. https://CRAN.R-project.org/package=rpart Thompson, M., and Walsham, G. (2010). ICT Research in Africa: Need for a Strategic Developmental Focus. Information Technology for Development,16(2): 112–127. Torero, M., and von Braun, J.(ed.) (2006). Information and communication technologies for development and poverty reduction: The potential of telecommunications. IFPRI books, International Food Policy Research Institute (IFPRI), number 0-8018-8041-6, December. Thurow, L. (2000). Globalization: The product of a kbowledge-based economy. The Annals of the American Academy of Political and Social Science, 570, 19–31. Tripathi, M., and Inani, S.K. (2020). Does information and communications technology affect economic growth? Empirical evidence from SAARC countries. Information Technology for Development, 26(4): 773–787. UNESCO Institute of Statistics (Online) Botswana: Education and literacy. http://uis.unesco.org/en/country/bw. Accessed 3/6/2021. UNESCO Institute of Statistics (Online), Botswana: Science, Technology, and Innovation. http://uis.unesco.org/en/country/bw?theme=science-technology-and-innovation. Accessed 3/6/2021. UNESCO Institute of Statistics (Online) Algeria: Education and literacy. http://uis.unesco.org/country/DZ/. Accessed 3/6/2021. UNESCO Institute of Statistics (Online) Algeria: Science, Technology, and Innovation. Accessed 3/6/2021. van Biljon, J., Osei-Bryson, K.W (2020). The communicative power of knowledge visualizations in mobilizing Information and Communication Technology Research. Information Technology for Development 26(4): 637–652. Verbeek, J., Vlassis, N., and Kröse. B. (2003). Efficient greedy learning of Gaussian mixture models. Neural Computation, 15 (2): 469–485. Watson, G.H. (1993). Strategic Benchmarking: How to Rate Your Company’s Performance against the World’s Best. Wiley, New York, NY. Weber, A.S. (2011). The role of education in knowledge economies in developing countries. Procedia Social and Behavioral Sciences, 15: 2589–2594. World Bank (2007). Building Knowledge Economies. Advanced strategies for Development. WBI Development Studies. The World Bank. Washington D.C. World Bank (2008). Measuring World Knowledge in the World’s economies. Knowledge Assessment Methodology and Knowledge Economy. World Development Report: Digital Dividends. World Bank, Washington. World Bank (2019). World Bank country and lending groups. World Bank. Available at https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups. Accessed on 10/11/2019. Xiao, J., Lu, J., and Li, X. (2017). Davies Bouldin Index based hierarchical initialization K-means. Intelligent Data Analysis, 21(6), 1327–1338. Xiong, J., Qureshi, S., and Najjar, L. (2014). A Cluster Analysis of research in Information Technology for global development: Where to from here? AIS Electronic Library. Zhou, H.B., and Gao, J.T. (2014). Automatic method for determining cluster number based on silhouette coefficient. In Advanced Materials Research (Vol. 951, pp. 227–230). Trans Tech Publications Ltd. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/109188 |