AGDI currently has about 300 publications.
2018 |
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| 1. | Tchamyou, Paul Acha-Anyi Simplice Asongu Vanessa N A S Journal of the Knowledge Economy, 2018. Abstract | Links | BibTeX | Tags: Africa, Benchmarks, Catch-up, Knowledge economy, Policy syndromes @article{Asongu_335, author = {Paul Acha-Anyi N Simplice A. Asongu Vanessa S. Tchamyou}, url = {https://link.springer.com/article/10.1007/s13132-018-0547-8}, doi = {10.1007/s13132-018-0547-8}, year = {2018}, date = {2018-06-18}, journal = {Journal of the Knowledge Economy}, abstract = {This study assesses the knowledge economy (KE) performance of lagging African countries vis-à-vis their frontier counterparts with regard to the four dimensions of the World Bank’s knowledge economy index (KEI). The empirical exercise is for the period 1996–2010. It consists of first establishing leading nations before suggesting policy initiatives that can be implemented by sampled countries depending on identified gaps that are provided with the sigma convergence estimation approach. The following findings are established as frontier knowledge economy countries: (i) for the most part, North African countries are dominant in education. Tunisia is overwhelmingly dominant in 11 of the 15 years, followed by Libya which is a frontier country in 2 years of the periodicity while Cape Verde and Egypt lead in a single year each of the periodicity; (ii) with the exception of Morocco that is leading in the year 2009, Seychelles is overwhelmingly dominant in ICT; (iii) South Africa also indomitably leads in terms of innovation; and (iv) while Botswana and Mauritius share dominance in institutional regime, economic incentives in terms of private domestic credit are most apparent in Angola (8 years of the periodicity), the Democratic Republic of Congo (3 years of the periodicity) and Tanzania, Sierra Leone, and Malawi (each leading in 1 year of the periodicity).}, keywords = {Africa, Benchmarks, Catch-up, Knowledge economy, Policy syndromes}, pubstate = {published}, tppubtype = {article} } This study assesses the knowledge economy (KE) performance of lagging African countries vis-à-vis their frontier counterparts with regard to the four dimensions of the World Bank’s knowledge economy index (KEI). The empirical exercise is for the period 1996–2010. It consists of first establishing leading nations before suggesting policy initiatives that can be implemented by sampled countries depending on identified gaps that are provided with the sigma convergence estimation approach. The following findings are established as frontier knowledge economy countries: (i) for the most part, North African countries are dominant in education. Tunisia is overwhelmingly dominant in 11 of the 15 years, followed by Libya which is a frontier country in 2 years of the periodicity while Cape Verde and Egypt lead in a single year each of the periodicity; (ii) with the exception of Morocco that is leading in the year 2009, Seychelles is overwhelmingly dominant in ICT; (iii) South Africa also indomitably leads in terms of innovation; and (iv) while Botswana and Mauritius share dominance in institutional regime, economic incentives in terms of private domestic credit are most apparent in Angola (8 years of the periodicity), the Democratic Republic of Congo (3 years of the periodicity) and Tanzania, Sierra Leone, and Malawi (each leading in 1 year of the periodicity). |
2016 |
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| 2. | Asongu, Jacinta Nwachukwu Simplice C A Comparative Economic Studies, 2016. Abstract | Links | BibTeX | Tags: Catch-up, research and development @article{Asongu_558, author = {Jacinta Nwachukwu C Simplice A. Asongu}, url = {http://link.springer.com/article/10.1057/s41294-016-0008-y}, doi = {10.1057/s41294-016-0008-y}, year = {2016}, date = {2016-06-28}, journal = {Comparative Economic Studies}, abstract = {This paper provides global empirical evidence on cross-country differences in scientific and technical publications. Its purpose is to model the future of scientific knowledge monopoly in order to understand whether the impressive growth experienced by latecomers in the industry has been accompanied by a similar catch-up in scientific capabilities and knowledge contribution. The empirical evidence for the period 1994–2010 is based on 41 panels which together consist of 99 countries. The large dataset allows us to disaggregate countries into fundamental characteristics based on income levels (high-income, lower-middle-income, upper-middle-income and low-income), legal origins (English common-law, French civil-law, German civil-law and Scandinavian civil-law) and regional proximity (South Asia, Europe and Central Asia; East Asia and the Pacific; Middle East and North Africa; Latin America and the Caribbean and Sub-Saharan Africa). Three main issues are investigated: the presence or not of catch-up processes, the speed of the catch-up processes and the time needed for a complete elimination of country differences in scientific and technical publications. The findings based on absolute and conditional catch-up patterns broadly show that advanced countries will continue to dominate in scientific knowledge contribution. Policy implications are discussed.}, keywords = {Catch-up, research and development}, pubstate = {published}, tppubtype = {article} } This paper provides global empirical evidence on cross-country differences in scientific and technical publications. Its purpose is to model the future of scientific knowledge monopoly in order to understand whether the impressive growth experienced by latecomers in the industry has been accompanied by a similar catch-up in scientific capabilities and knowledge contribution. The empirical evidence for the period 1994–2010 is based on 41 panels which together consist of 99 countries. The large dataset allows us to disaggregate countries into fundamental characteristics based on income levels (high-income, lower-middle-income, upper-middle-income and low-income), legal origins (English common-law, French civil-law, German civil-law and Scandinavian civil-law) and regional proximity (South Asia, Europe and Central Asia; East Asia and the Pacific; Middle East and North Africa; Latin America and the Caribbean and Sub-Saharan Africa). Three main issues are investigated: the presence or not of catch-up processes, the speed of the catch-up processes and the time needed for a complete elimination of country differences in scientific and technical publications. The findings based on absolute and conditional catch-up patterns broadly show that advanced countries will continue to dominate in scientific knowledge contribution. Policy implications are discussed. |
2015 |
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| 3. | Asongu, Simplice A Journal of the Knowledge Economy, pp. 1-43, 2015. Abstract | Links | BibTeX | Tags: Africa, Catch-up, Knowledge economy, South Korea @article{Asongu_616, author = {Simplice A Asongu}, url = {http://link.springer.com/article/10.1007/s13132-015-0321-0}, doi = {10.1007/s13132-015-0321-0}, year = {2015}, date = {2015-10-01}, journal = {Journal of the Knowledge Economy}, pages = {1-43}, abstract = {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 peripheral African 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 and communication technology (ICT), and economic incentives and 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 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 to both scholars and firms. 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.}, keywords = {Africa, Catch-up, Knowledge economy, South Korea}, pubstate = {published}, tppubtype = {article} } 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 peripheral African 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 and communication technology (ICT), and economic incentives and 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 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 to both scholars and firms. 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. |
| 4. | Asongu, Simplice A Journal of the Knowledge Economy, 2015. Abstract | Links | BibTeX | Tags: Africa, Benchmarks, Catch-up, Knowledge economy, Policy syndromes @article{Asongu_639, author = {Simplice A Asongu}, url = {http://link.springer.com/article/10.1007%2Fs13132-015-0273-4}, doi = {10.1007%2Fs13132-015-0273-4}, year = {2015}, date = {2015-07-11}, journal = {Journal of the Knowledge Economy}, abstract = {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, 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, nonoil-exporting, and French civil law countries are generally more predisposed to lower levels of KE, whereas English common law, openness to sea, absence of conflicts, North African, and middle-income countries are characteristics that predispose certain nations to higher KE. Broad and specific policy implications are discussed in detail.}, keywords = {Africa, Benchmarks, Catch-up, Knowledge economy, Policy syndromes}, pubstate = {published}, tppubtype = {article} } 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, 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, nonoil-exporting, and French civil law countries are generally more predisposed to lower levels of KE, whereas English common law, openness to sea, absence of conflicts, North African, and middle-income countries are characteristics that predispose certain nations to higher KE. Broad and specific policy implications are discussed in detail. |
