Knowledge Economy Gaps, Policy Syndromes and Catch-up Strategies: Fresh South Korean Lessons to Africa

Africa’s overall knowledge index fell between 2000 and 2009. South Korea’s economic miracle is largely due to a knowledge-based development strategy that holds valuable lessons for African countries in their current pursuit towards knowledge economies. Using updated data (1996-2010), this paper presents fresh South Korean lessons to Africa by assessing the knowledge economy (KE) gaps, deriving policy syndromes and providing catch-up strategies. The 53 African frontier countries are decomposed into fundamental characteristics of wealth, legal origins, regional proximity, oil-exporting, political stability and landlockedness. The World Bank’s four KE components are used: education, innovation, information & communication technology (ICT) and economic incentives & institutional regime. Absolute beta and sigma convergence techniques are employed as empirical strategies. With the exception of ICT for which catch-up is not very apparent, in increasing order it is visible in: innovation, economic incentives, education and institutional regime. The speed of catch-up varies between 8.66% and 30.00% per annum with respective time to full or 100% catch-up of 34.64 years and 10 years. Based on the trends and dynamics in the KE gaps, policy syndromes and compelling catch-up strategies are discussed. Issues standing on the way to KE in Africa are dissected with great acuteness before South Korean relevant solutions are provided. The paper is original in its provision of practical policy initiatives drawn from the Korean experience to African countries embarking on a transition to KE

The Comparative Economics of Knowledge Economy in Africa: Policy Benchmarks, Syndromes and Implications

The paper complements the scarce literature on knowledge economy (KE) in Africa by comparing KE dynamics within Africa in order to assess best and worst performers based on fundamental characteristics of the continent’s development. The five dimensions of the World Bank’s knowledge economy index (KEI) are employed, notably: education, information and communication technology, innovation and, economic incentives and institutional regime. The empirical evidence is based on a five-step novel approach with data from 53 African countries for the period 1996-2010. Limitations of the beta catch-up approach are complemented with the sigma convergence strategy. Based on the determined fundamental characteristics, computed dynamic benchmarks, policy syndromes and syndrome free scenarios we establish that: Landlocked, Low-income, Conflict-affected, sub-Saharan African, Non-oil-exporting and French civil law countries are generally more predisposed to lower levels of KE whereas; English common-law, Notlandlocked, Conflict-free, North African and middle-income countries are characteristics that predispose certain nations to higher KE. Broad and specific policy implications are discussed in detail