AGDI currently has about 300 publications.
2018 |
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| 1. | Asongu, Vanessa Tchamyou Simplice S A Contemporary Social Science, 2018. Abstract | Links | BibTeX | Tags: Knowledge economy; Benchmarks; Policy syndromes; Catch-up; Africa @article{Asongu_362, author = {Vanessa Tchamyou S Simplice A. Asongu}, url = {https://www.tandfonline.com/doi/full/10.1080/21582041.2018.1457170}, doi = {10.1080/21582041.2018.1457170}, year = {2018}, date = {2018-03-29}, journal = {Contemporary Social Science}, abstract = {This article compares African countries to South Korea in terms of knowledge economy (KE). Emphasis is laid on human capital, knowledge creation, knowledge diffusion, institutions and economic incentives. The analytical approach consists of providing KE catch-up strategies that can be understood within the context of country-specific gaps between the frontier country in KE and laggard African countries. The empirical evidence is based on sigma convergence with data for the period 1996–2010. Overall, a KE diagnosis is provided by assessing KE gaps (between South Korea and specific-African countries) and suggesting compelling catch-up strategies with which to reduce identified gaps. Contemporary and non-contemporary policies from South Korea and more contemporary policies based on challenges of globalisation are discussed. The policy relevance of this inquiry aligns with the scholarly perspective that catch-up between South Korea and more advanced economies was accelerated by the former adapting to and assimilating relatively obsolete technological know-how from more developed nations.}, keywords = {Knowledge economy; Benchmarks; Policy syndromes; Catch-up; Africa}, pubstate = {published}, tppubtype = {article} } This article compares African countries to South Korea in terms of knowledge economy (KE). Emphasis is laid on human capital, knowledge creation, knowledge diffusion, institutions and economic incentives. The analytical approach consists of providing KE catch-up strategies that can be understood within the context of country-specific gaps between the frontier country in KE and laggard African countries. The empirical evidence is based on sigma convergence with data for the period 1996–2010. Overall, a KE diagnosis is provided by assessing KE gaps (between South Korea and specific-African countries) and suggesting compelling catch-up strategies with which to reduce identified gaps. Contemporary and non-contemporary policies from South Korea and more contemporary policies based on challenges of globalisation are discussed. The policy relevance of this inquiry aligns with the scholarly perspective that catch-up between South Korea and more advanced economies was accelerated by the former adapting to and assimilating relatively obsolete technological know-how from more developed nations. |
| 2. | Asongu, Vanessa Tchamyou Simplice S A 2018. Abstract | Links | BibTeX | Tags: Knowledge economy; Benchmarks; Policy syndromes; Catch-up; Africa @unpublished{Asongu_379, author = {Vanessa Tchamyou S Simplice A. Asongu}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/Human-Capital-Knowledge-Creation-Knowledge-Diffusion-Institutions-and-Economic-Incentives.pdf}, year = {2018}, date = {2018-01-13}, journal = {Contemporary Social Science}, abstract = {This article compares African countries to South Korea in terms of knowledge economy (KE). Emphasis is laid on human capital, knowledge creation, knowledge diffusion, institutions and economic incentives. The analytical approach consists of providing knowledge economy catch-up strategies that can be understood within the context of country-specific gaps between the frontier country in KE and laggard African countries. The empirical evidence is based on sigma convergence with data for the period 1996-2010. Overall, a KE diagnosis is provided by assessing KE gaps (between South Korea and specific-African countries) and suggesting compelling catch-up strategies with which to reduce identified gaps. Contemporary and non-contemporary policies from South Korea and more contemporary policies based on challenges of globalisation are discussed. The policy relevance of this inquiry aligns with the scholarly perspective that catch-up between South Korea and more advanced economies was accelerated by the former adapting to and assimilating relatively obsolete technological know-how from more developed nations.}, keywords = {Knowledge economy; Benchmarks; Policy syndromes; Catch-up; Africa}, pubstate = {published}, tppubtype = {unpublished} } This article compares African countries to South Korea in terms of knowledge economy (KE). Emphasis is laid on human capital, knowledge creation, knowledge diffusion, institutions and economic incentives. The analytical approach consists of providing knowledge economy catch-up strategies that can be understood within the context of country-specific gaps between the frontier country in KE and laggard African countries. The empirical evidence is based on sigma convergence with data for the period 1996-2010. Overall, a KE diagnosis is provided by assessing KE gaps (between South Korea and specific-African countries) and suggesting compelling catch-up strategies with which to reduce identified gaps. Contemporary and non-contemporary policies from South Korea and more contemporary policies based on challenges of globalisation are discussed. The policy relevance of this inquiry aligns with the scholarly perspective that catch-up between South Korea and more advanced economies was accelerated by the former adapting to and assimilating relatively obsolete technological know-how from more developed nations. |
2017 |
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| 3. | Asongu, Vanessa Tchamyou & Paul Acha-Anyi Simplice S N A 2017. Abstract | Links | BibTeX | Tags: Knowledge economy; Benchmarks; Policy syndromes; Catch-up; Africa @unpublished{Asongu_409, author = {Vanessa Tchamyou & Paul Acha-Anyi S N Simplice A. Asongu}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/Who-is-Who-in-Knowledge-Economy-in-Africa.pdf}, year = {2017}, date = {2017-10-23}, 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 are established 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 two years while Cape Verde and Egypt lead in a single year each. (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. (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), the Democratic Republic of Congo (3 years) and Tanzania, Sierra Leone and Malawi (each leading in one year).}, keywords = {Knowledge economy; Benchmarks; Policy syndromes; Catch-up; Africa}, pubstate = {published}, tppubtype = {unpublished} } 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 are established 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 two years while Cape Verde and Egypt lead in a single year each. (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. (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), the Democratic Republic of Congo (3 years) and Tanzania, Sierra Leone and Malawi (each leading in one year). |
2015 |
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| 4. | Asongu, Simplice A 2015. Abstract | Links | BibTeX | Tags: Knowledge economy; Benchmarks; Policy syndromes; Catch-up; Africa @workingpaper{Asongu2015bz, title = {The Comparative Economics of Knowledge Economy in Africa: Policy Benchmarks, Syndromes and Implications}, author = {Simplice A Asongu}, editor = {African 2015 Governance and Development Institute WP/15/020}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/The-Comparative-Economics-of-Knowledge-Economy-in-Africa.pdf}, year = {2015}, date = {2015-06-01}, 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 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.}, keywords = {Knowledge economy; Benchmarks; Policy syndromes; Catch-up; Africa}, pubstate = {published}, tppubtype = {workingpaper} } 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. |
