AGDI currently has about 300 publications.
2017 |
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1. | Amavilah, & Simplice Asongu Antonio Andrés Voxi R Lechman, Adam Marszk Harleen Kaur Ewa (Ed.): Chapter Chapter 10, Springer International Publishing, First edition, 2017, ISBN: 978-3-319-56522-4. Abstract | Links | BibTeX | Tags: cross-country analysis, Formal institutions, ICT adoption, panel data models @inbook{Asongu_450, author = {& Simplice Asongu Antonio R. Andrés Voxi Amavilah}, editor = {Adam Marszk Harleen Kaur Ewa Lechman}, url = {http://www.springer.com/us/book/9783319565224}, doi = {10.1007/978-3-319-56523-1}, isbn = {978-3-319-56522-4}, year = {2017}, date = {2017-06-13}, publisher = {Springer International Publishing}, edition = {First edition}, chapter = {Chapter 10}, abstract = {Using data for 49 African countries over the years spanning 2000-2012, and controlling for a wide range of factors, this study empirically assesses the effects of formal institutions on ICT adoption in developing countries. It deploys 2SLS and FE regression models, (a) to estimate what determines ICT adoption and (b) to trace how ICT adoption affects inclusive development. The results show that formal institutions affect ICT adoption in this group of countries, with government effectiveness having the largest positive effect and regulations the largest negative effect. Generally, formal institutions appear more important to ICT adoption in low income countries than middle income countries, whereas population and economic growth tend to constrain ICT adoption with low income countries more negatively affected than middle income countries. The results further demonstrate that ICT adoption affects development strongly, and that such effects are comparable to those of domestic credit and foreign direct investment. Ceteris paribus, external factors like foreign aid are more limiting to inclusive development than internal factors. This suggests that developing countries can enhance their ICT adoption for development by improving formal institutions and by strengthening domestic determinants of ICT adoption. Both represent opportunities for further research.}, keywords = {cross-country analysis, Formal institutions, ICT adoption, panel data models}, pubstate = {published}, tppubtype = {inbook} } Using data for 49 African countries over the years spanning 2000-2012, and controlling for a wide range of factors, this study empirically assesses the effects of formal institutions on ICT adoption in developing countries. It deploys 2SLS and FE regression models, (a) to estimate what determines ICT adoption and (b) to trace how ICT adoption affects inclusive development. The results show that formal institutions affect ICT adoption in this group of countries, with government effectiveness having the largest positive effect and regulations the largest negative effect. Generally, formal institutions appear more important to ICT adoption in low income countries than middle income countries, whereas population and economic growth tend to constrain ICT adoption with low income countries more negatively affected than middle income countries. The results further demonstrate that ICT adoption affects development strongly, and that such effects are comparable to those of domestic credit and foreign direct investment. Ceteris paribus, external factors like foreign aid are more limiting to inclusive development than internal factors. This suggests that developing countries can enhance their ICT adoption for development by improving formal institutions and by strengthening domestic determinants of ICT adoption. Both represent opportunities for further research. |
2016 |
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2. | Amavilah, Simplice Asongu Antonio Andrés Voxi R 2016. Abstract | Links | BibTeX | Tags: cross-country analysis, Formal institutions, ICT adoption, panel data models @workingpaper{Asongu2016db, title = {Linkages between Formal Institutions, ICT Adoption and Inclusive Human Development in Sub Saharan Africa}, author = {Simplice Asongu Antonio R. Andrés Voxi Amavilah}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/Formal-Institutions.-ICT-Adoption-and-Inclusive-Development.pdf}, year = {2016}, date = {2016-08-13}, abstract = {Using data for 49 African countries over the years spanning 2000-2012, and controlling for a wide range of factors, this study empirically assesses the effects of formal institutions on ICT adoption in developing countries. It deploys 2SLS and FE regression models, (a) to estimate what determines ICT adoption and (b) to trace how ICT adoption affects inclusive development. The results show that formal institutions affect ICT adoption in this group of countries, with government effectiveness having the largest positive effect and regulations the largest negative effect. Generally, formal institutions appear more important to ICT adoption in low income countries than middle income countries, whereas population and economic growth tend to constrain ICT adoption with low income countries more negatively affected than middle income countries. The results further demonstrate that ICT adoption affects development strongly, and that such effects are comparable to those of domestic credit and foreign direct investment. Ceteris paribus, external factors like foreign aid are more limiting to inclusive development than internal factors. This suggests that developing countries can enhance their ICT adoption for development by improving formal institutions and by strengthening domestic determinants of ICT adoption. Both represent opportunities for further research.}, keywords = {cross-country analysis, Formal institutions, ICT adoption, panel data models}, pubstate = {published}, tppubtype = {workingpaper} } Using data for 49 African countries over the years spanning 2000-2012, and controlling for a wide range of factors, this study empirically assesses the effects of formal institutions on ICT adoption in developing countries. It deploys 2SLS and FE regression models, (a) to estimate what determines ICT adoption and (b) to trace how ICT adoption affects inclusive development. The results show that formal institutions affect ICT adoption in this group of countries, with government effectiveness having the largest positive effect and regulations the largest negative effect. Generally, formal institutions appear more important to ICT adoption in low income countries than middle income countries, whereas population and economic growth tend to constrain ICT adoption with low income countries more negatively affected than middle income countries. The results further demonstrate that ICT adoption affects development strongly, and that such effects are comparable to those of domestic credit and foreign direct investment. Ceteris paribus, external factors like foreign aid are more limiting to inclusive development than internal factors. This suggests that developing countries can enhance their ICT adoption for development by improving formal institutions and by strengthening domestic determinants of ICT adoption. Both represent opportunities for further research. |
2015 |
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3. | Asongu, Voxi Amavilah Antonio Rodríguez Andrés Simplice A Journal of the Knowledge Economy, 6 (4), pp. 1034-1062, 2015. Abstract | Links | BibTeX | Tags: Formal institutions, Knowledge economy Panel data, Principal component analysis (PCA) @article{Asongu_597, author = {Voxi Amavilah Antonio Rodríguez Andrés Simplice A. Asongu}, url = {http://link.springer.com/article/10.1007/s13132-013-0174-3}, doi = {10.1007/s13132-013-0174-3}, year = {2015}, date = {2015-12-22}, journal = {Journal of the Knowledge Economy}, volume = {6}, number = {4}, pages = {1034-1062}, abstract = {Using Kauffman, Kraay, and Mastruzzi governance indicators, this article analyzes the impact of formal institutions on the knowledge economy by assessing how the enforcement of Intellectual Property Rights (IPRs) through good governance mechanisms affects the knowledge economy. The article also employs the World Bank’s four components of the knowledge economy index characteristic of its knowledge for development framework. We estimate panel data models for 22 Middle Eastern and North African and Sub-Saharan African countries over the period 1996–2010. The results show that for this group of countries the enforcement of IPR laws (treaties), although necessary, is not a sufficient condition for a knowledge economy. The results also suggest that other factors are more likely to determine the knowledge economies of these nations. Overall, these findings have important implications for both policy and further research.}, keywords = {Formal institutions, Knowledge economy Panel data, Principal component analysis (PCA)}, pubstate = {published}, tppubtype = {article} } Using Kauffman, Kraay, and Mastruzzi governance indicators, this article analyzes the impact of formal institutions on the knowledge economy by assessing how the enforcement of Intellectual Property Rights (IPRs) through good governance mechanisms affects the knowledge economy. The article also employs the World Bank’s four components of the knowledge economy index characteristic of its knowledge for development framework. We estimate panel data models for 22 Middle Eastern and North African and Sub-Saharan African countries over the period 1996–2010. The results show that for this group of countries the enforcement of IPR laws (treaties), although necessary, is not a sufficient condition for a knowledge economy. The results also suggest that other factors are more likely to determine the knowledge economies of these nations. Overall, these findings have important implications for both policy and further research. |