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). |
2015 |
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| 2. | 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. |
