AGDI currently has about 300 publications.
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| 1. | Biekpe, Danny Cassimon Simplice Asongu Nicholas A Telecommunications Policy, 44 (8), pp. 102000, 2020. Abstract | Links | BibTeX | Tags: Mobile money; technology diffusion @article{Asongu_58, author = {Danny Cassimon Simplice A. Asongu Nicholas Biekpe}, url = {https://doi.org/10.1016/j.telpol.2020.102000}, doi = {10.1016/j.telpol.2020.102000}, year = {2020}, date = {2020-06-17}, journal = {Telecommunications Policy}, volume = {44}, number = {8}, pages = {102000}, abstract = {The present research extends Lashitew et al. (2019, RP) in order to understand the greater diffusion of mobile money innovations in Africa. To make this assessment, a comparative analysis is engaged between sampled African countries and the corresponding sampled developing countries. Three main types of predictor groups are used for the study, namely: demand, supply and macro-level factors. The empirical evidence is based on Tobit regressions. The tested hypothesis is confirmed because from a comparative analysis between African-specific estimates and those of the sampled countries, not all factors driving mobile money innovations in Africa are apparent in the findings of Lashitew et al. (2019). An extended analysis is also performed to take on board the concern of multicollinearity from which, the best estimators from the study are derived. Comparative findings from correlation analysis show that an African specificity is largely traceable to the ‘unique mobile subscription rate’ variable. An in-depth empirical analysis further confirms an African specificity in the outcome variables (especially in the mobile used to send/receive money) which, may be traceable to informal sector variables not documented in Lashitew et al. (2019). Scholarly and policy implications are discussed.}, keywords = {Mobile money; technology diffusion}, pubstate = {published}, tppubtype = {article} } The present research extends Lashitew et al. (2019, RP) in order to understand the greater diffusion of mobile money innovations in Africa. To make this assessment, a comparative analysis is engaged between sampled African countries and the corresponding sampled developing countries. Three main types of predictor groups are used for the study, namely: demand, supply and macro-level factors. The empirical evidence is based on Tobit regressions. The tested hypothesis is confirmed because from a comparative analysis between African-specific estimates and those of the sampled countries, not all factors driving mobile money innovations in Africa are apparent in the findings of Lashitew et al. (2019). An extended analysis is also performed to take on board the concern of multicollinearity from which, the best estimators from the study are derived. Comparative findings from correlation analysis show that an African specificity is largely traceable to the ‘unique mobile subscription rate’ variable. An in-depth empirical analysis further confirms an African specificity in the outcome variables (especially in the mobile used to send/receive money) which, may be traceable to informal sector variables not documented in Lashitew et al. (2019). Scholarly and policy implications are discussed. |
| 2. | Biekpe, Danny Cassimon Simplice Asongu Nicholas A 2020. Abstract | Links | BibTeX | Tags: Mobile money; technology diffusion @unpublished{Asongu_67, author = {Danny Cassimon Simplice A. Asongu Nicholas Biekpe}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/Understanding-the-greater-diffusion-of-mobile-money-innovations-in-Africa.pdf}, year = {2020}, date = {2020-06-10}, abstract = {The present research extends Lashitew, van Tulder and Liasse (2019, RP) in order to understand the greater diffusion of mobile money innovations in Africa. To make this assessment, a comparative analysis is engaged between sampled African countries and the corresponding sampled developing countries. Three main types of predictor groups are used for the study, namely: demand, supply and macro-level factors. The empirical evidence is based on Tobit regressions. The tested hypothesis is confirmed because from a comparative analysis between African-specific estimates and those of the sampled countries, not all factors driving mobile money innovations in Africa are apparent in the findings of Lashitew et al. (2019). An extended analysis is also performed to take on board the concern of multicollinearity from which, the best estimators from the study are derived. Comparative findings from correlation analysis show that an African specificity is largely traceable to the ‘unique mobile subscription rate’ variable. An in-depth empirical analysis further confirms an African specificity in the outcome variables (especially in the mobile used to send/receive money) which, may be traceable to informal sector variables not documented in Lashitew et al. (2019). Scholarly and policy implications are discussed.}, keywords = {Mobile money; technology diffusion}, pubstate = {published}, tppubtype = {unpublished} } The present research extends Lashitew, van Tulder and Liasse (2019, RP) in order to understand the greater diffusion of mobile money innovations in Africa. To make this assessment, a comparative analysis is engaged between sampled African countries and the corresponding sampled developing countries. Three main types of predictor groups are used for the study, namely: demand, supply and macro-level factors. The empirical evidence is based on Tobit regressions. The tested hypothesis is confirmed because from a comparative analysis between African-specific estimates and those of the sampled countries, not all factors driving mobile money innovations in Africa are apparent in the findings of Lashitew et al. (2019). An extended analysis is also performed to take on board the concern of multicollinearity from which, the best estimators from the study are derived. Comparative findings from correlation analysis show that an African specificity is largely traceable to the ‘unique mobile subscription rate’ variable. An in-depth empirical analysis further confirms an African specificity in the outcome variables (especially in the mobile used to send/receive money) which, may be traceable to informal sector variables not documented in Lashitew et al. (2019). Scholarly and policy implications are discussed. |
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| 3. | 0000. Abstract | Links | BibTeX | Tags: Mobile money; technology diffusion @unpublished{Asongu_861, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/On-the-diffusion-of-mobile-phone-innovations-for-financial-inclusion.pdf}, abstract = {“Replications are an important part of the research process because they allow for greater confidence in the findings” (McEwan, Carpenter & Westerman, 2018, p. 235). This study extends Lashitew, van Tulder and Liasse (2019, RP) by addressing the concern of multicollinearity that affects the signs and significance of estimated coefficients. This article investigates nexuses between innovations in mobile money and financial inclusion in developing countries. Demand and supply factors that affect the diffusion of mobile services as well as macro-level institutional and economic factors are taken on board. The empirical evidence is based on Tobit regressions. The study finds that when the empirical analysis is robust to multicollinearity, two main tendencies are apparent: the significant findings of Lashitew et al. (2019) are confirmed and many new significant estimated coefficients emerge. While this study confirms the findings of the underlying research, it also goes further to improve the harmony in narratives between the predictors and the outcome variables. Accordingly, by accounting for multicollinearity, the earlier findings are now more consistent across the set of predictors (i.e. demand and supply factors) and the attendant financial inclusion outcomes (i.e. mobile money accounts, mobile used to send money and mobile used to receive money).}, keywords = {Mobile money; technology diffusion}, pubstate = {published}, tppubtype = {unpublished} } “Replications are an important part of the research process because they allow for greater confidence in the findings” (McEwan, Carpenter & Westerman, 2018, p. 235). This study extends Lashitew, van Tulder and Liasse (2019, RP) by addressing the concern of multicollinearity that affects the signs and significance of estimated coefficients. This article investigates nexuses between innovations in mobile money and financial inclusion in developing countries. Demand and supply factors that affect the diffusion of mobile services as well as macro-level institutional and economic factors are taken on board. The empirical evidence is based on Tobit regressions. The study finds that when the empirical analysis is robust to multicollinearity, two main tendencies are apparent: the significant findings of Lashitew et al. (2019) are confirmed and many new significant estimated coefficients emerge. While this study confirms the findings of the underlying research, it also goes further to improve the harmony in narratives between the predictors and the outcome variables. Accordingly, by accounting for multicollinearity, the earlier findings are now more consistent across the set of predictors (i.e. demand and supply factors) and the attendant financial inclusion outcomes (i.e. mobile money accounts, mobile used to send money and mobile used to receive money). |
