AGDI a environ 300 publications actuellement.
2018 |
|
| 1. | Asongu, Nicholas Odhiambo Simplice African Journal of Science, Technology, Innovation and Development, 2018. Abstract | Links | BibTeX | Tags: Inequality, Mobile banking, Poverty, quality of growth @article{Asongu_320, author = {Nicholas Odhiambo Simplice Asongu}, url = {https://www.tandfonline.com/doi/full/10.1080/20421338.2018.1509526}, doi = {10.1080/20421338.2018.1509526}, year = {2018}, date = {2018-09-07}, journal = {African Journal of Science, Technology, Innovation and Development}, abstract = {This study assesses human development thresholds at which mobile banking mitigates poverty and inequality in 93 developing countries for the year 2011. Mobile banking entails ‘mobile used to pay bills’ and ‘mobile used to receive/send money’, while the modifying policy indicator is the human development index (HDI). The empirical evidence is based on interactive quantile regressions. A summary of the findings shows that with increasing human development: (i) ‘mobiles used to pay bills’ contribute to reducing inequality in countries at the bottom and top ends of the inequality distribution, while (ii) ‘mobiles used to receive/send money’ have an appealing role in promoting inclusive development in all poverty distributions, with the exception of the top-end or 90th decile. The modifying thresholds of the HDI vary from 0.542 to 0.632 and 0.333 to 0.705 in inequality and poverty specifications, respectively. The relevance of the findings is discussed in light of the current transition from Millennium Development Goals to Sustainable Development Goals.}, keywords = {Inequality, Mobile banking, Poverty, quality of growth}, pubstate = {published}, tppubtype = {article} } This study assesses human development thresholds at which mobile banking mitigates poverty and inequality in 93 developing countries for the year 2011. Mobile banking entails ‘mobile used to pay bills’ and ‘mobile used to receive/send money’, while the modifying policy indicator is the human development index (HDI). The empirical evidence is based on interactive quantile regressions. A summary of the findings shows that with increasing human development: (i) ‘mobiles used to pay bills’ contribute to reducing inequality in countries at the bottom and top ends of the inequality distribution, while (ii) ‘mobiles used to receive/send money’ have an appealing role in promoting inclusive development in all poverty distributions, with the exception of the top-end or 90th decile. The modifying thresholds of the HDI vary from 0.542 to 0.632 and 0.333 to 0.705 in inequality and poverty specifications, respectively. The relevance of the findings is discussed in light of the current transition from Millennium Development Goals to Sustainable Development Goals. |
| 2. | Asongu, Nicholas Odhiambo Simplice M A 2018. Abstract | Links | BibTeX | Tags: Inequality, Mobile banking, Poverty, quality of growth @article{Asongu_336, author = {Nicholas Odhiambo M Simplice A. Asongu}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/Human-development-thresholds-for-inclusive-mobile-banking-in-developing-countries.pdf}, year = {2018}, date = {2018-06-18}, abstract = {This study assesses human development thresholds at which mobile banking mitigates poverty and inequality in 93 developing countries for the year 2011. Mobile banking entails: ‘mobile used to pay bills’ and ‘mobile used to receive/send money’, while the modifying policy indicator is the human development index (HDI). The empirical evidence is based on interactive quantile regressions. A summary of the findings shows that with increasing human development: (i) ‘mobiles used to pay bills’ contribute to reducing inequality in countries at the bottom and top ends of the inequality distribution, while (ii) ‘mobiles used to receive/send money’ have an appealing role in promoting inclusive development in all poverty distributions, with the exception of the top-end or 90th decile. The modifying thresholds of the HDI vary from 0.542 to 0.632 and 0.333 to 0.705 in inequality and poverty specifications, respectively. The relevance of the findings is discussed in light of the current transition from Millennium Development Goals to Sustainable Development Goals.}, keywords = {Inequality, Mobile banking, Poverty, quality of growth}, pubstate = {published}, tppubtype = {article} } This study assesses human development thresholds at which mobile banking mitigates poverty and inequality in 93 developing countries for the year 2011. Mobile banking entails: ‘mobile used to pay bills’ and ‘mobile used to receive/send money’, while the modifying policy indicator is the human development index (HDI). The empirical evidence is based on interactive quantile regressions. A summary of the findings shows that with increasing human development: (i) ‘mobiles used to pay bills’ contribute to reducing inequality in countries at the bottom and top ends of the inequality distribution, while (ii) ‘mobiles used to receive/send money’ have an appealing role in promoting inclusive development in all poverty distributions, with the exception of the top-end or 90th decile. The modifying thresholds of the HDI vary from 0.542 to 0.632 and 0.333 to 0.705 in inequality and poverty specifications, respectively. The relevance of the findings is discussed in light of the current transition from Millennium Development Goals to Sustainable Development Goals. |
2017 |
|
| 3. | A., & Odhiambo Asongu N M S Information Development, 2017. Abstract | Links | BibTeX | Tags: Developing countries, Inequality, Mobile banking, Poverty, quality of growth @article{Asongu_401, author = {& Odhiambo N M Asongu S. A.}, url = {http://journals.sagepub.com/eprint/kYZJPaYxxPsj8Ak59Riq/full}, doi = {10.1177/0266666917744006}, year = {2017}, date = {2017-12-01}, journal = {Information Development}, abstract = {The transition from Millennium Development Goals to Sustainable Development Goals has substantially shifted the policy debate from development to inclusive development. Using interactive quantile regressions, we examine the correlations between mobile banking and inclusive development (quality of growth, inequality and poverty) among individuals in 93 developing countries for the year 2011. Mobile banking entails: ‘mobile used to pay bills’ and ‘mobile used to receive/send money’. The findings broadly show that increasing mobile banking dynamics to certain thresholds would increase (decrease) quality of growth (inequality) in quantiles at the high-end of inclusive development distributions for the most part. The study is original in that it explores the relationship between mobile banking and inclusive development using three measurements of inclusive development, namely: quality of growth, inequality and poverty. As a main policy implication, encouraging mobile banking applications would play a substantial role in responding to the challenges of immiserizing growth, inequality and poverty in developing countries.}, keywords = {Developing countries, Inequality, Mobile banking, Poverty, quality of growth}, pubstate = {published}, tppubtype = {article} } The transition from Millennium Development Goals to Sustainable Development Goals has substantially shifted the policy debate from development to inclusive development. Using interactive quantile regressions, we examine the correlations between mobile banking and inclusive development (quality of growth, inequality and poverty) among individuals in 93 developing countries for the year 2011. Mobile banking entails: ‘mobile used to pay bills’ and ‘mobile used to receive/send money’. The findings broadly show that increasing mobile banking dynamics to certain thresholds would increase (decrease) quality of growth (inequality) in quantiles at the high-end of inclusive development distributions for the most part. The study is original in that it explores the relationship between mobile banking and inclusive development using three measurements of inclusive development, namely: quality of growth, inequality and poverty. As a main policy implication, encouraging mobile banking applications would play a substantial role in responding to the challenges of immiserizing growth, inequality and poverty in developing countries. |
| 4. | Asongu, Ndemaze Asongu Simplice 2017. Abstract | Links | BibTeX | Tags: Inequality, Mobile money services, Poverty, quality of growth @unpublished{Asongu_474, author = {Ndemaze Asongu Simplice Asongu}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/The-comparative-exploration-of-mobile-money-services-in-inclusive-development.pdf}, year = {2017}, date = {2017-04-13}, abstract = {Purpose- We respond to some challenges in the transition to Sustainable Development Goals by examining the correlations between mobile and inclusive development (quality of growth, poverty and inequality) in 93 developing countries for the year 2011. Design/methodology/approach- Mobile money service entails: ‘mobile used to pay bills’ and ‘mobile used to receive/send money’. Interactive Ordinary Least Squares are employed. Findings- The following findings are established. First, increasing use of the mobile phones to pay bills: is positively linked to ‘quality of growth’ in lower-middle income countries (LMIC) and negatively correlated with inequality in Latin American countries (LA). Second, growing use of mobile phones to send/receive money is negatively associated with poverty in Asia and Pacific (AP) and Central and Eastern Europe (CEE). Originality/value- Macroeconomic data on mobile money service is scarce. No study to the best of our knowledge has used this macroeconomic mobile money service data before.}, keywords = {Inequality, Mobile money services, Poverty, quality of growth}, pubstate = {published}, tppubtype = {unpublished} } Purpose- We respond to some challenges in the transition to Sustainable Development Goals by examining the correlations between mobile and inclusive development (quality of growth, poverty and inequality) in 93 developing countries for the year 2011. Design/methodology/approach- Mobile money service entails: ‘mobile used to pay bills’ and ‘mobile used to receive/send money’. Interactive Ordinary Least Squares are employed. Findings- The following findings are established. First, increasing use of the mobile phones to pay bills: is positively linked to ‘quality of growth’ in lower-middle income countries (LMIC) and negatively correlated with inequality in Latin American countries (LA). Second, growing use of mobile phones to send/receive money is negatively associated with poverty in Asia and Pacific (AP) and Central and Eastern Europe (CEE). Originality/value- Macroeconomic data on mobile money service is scarce. No study to the best of our knowledge has used this macroeconomic mobile money service data before. |
| 5. | A, Nwachukwu Asongu J C S 2017. Abstract | Links | BibTeX | Tags: Inequality, Mobile banking, Poverty, quality of growth @unpublished{Asongu_478, author = {Nwachukwu J C Asongu S. A}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/Human-development-mobile-banking-and-inclusive-development.pdf}, year = {2017}, date = {2017-03-19}, abstract = {We assess the correlations between mobile banking and inclusive development (poverty and inequality) in 93 developing countries for the year 2011. Mobile banking entails: ‘mobile phones used to pay bills’ and ‘mobile phones used to receive/send money’, while the modifying policy indicator is the human development index (HDI). The data is decomposed into seven sub-panels based on two fundamental characteristics, namely: regions (Latin America, Asia and Pacific, Central and Eastern Europe, and Middle East and North Africa) and income levels (upper middle income, lower middle income and low income). Our results show that at certain thresholds of the HDI, mobile banking is positively linked to inclusive development. The following specific findings are established. First, the increased use of mobile phones to pay bills is negatively correlated with: (i) poverty in lower-middle-income countries (LMIC), upper-middle-income countries (UMIC) and Latin American countries (LA), respectively at HDI thresholds of 0.725, 0.727 and 0.778 and; (ii) inequality in UMIC and LA with HDI thresholds of respectively 0.646 and 0.761. Second, the increased use of mobile phones to send/receive money is negatively correlated with: (i) poverty in LMIC, UMIC and Central and Eastern European countries (CEE) with corresponding HDI thresholds of 0.631, 0.750 and 0.750 and (ii) inequality in UMIC, CEE and LA at HDI thresholds of 0.665, 0.736 and 0.726 respectively. The findings are discussed in the light of current policy challenges in the transition from Millennium Development Goals to Sustainable Development Goals. We have exploited the only macroeconomic data on mobile banking currently available.}, keywords = {Inequality, Mobile banking, Poverty, quality of growth}, pubstate = {published}, tppubtype = {unpublished} } We assess the correlations between mobile banking and inclusive development (poverty and inequality) in 93 developing countries for the year 2011. Mobile banking entails: ‘mobile phones used to pay bills’ and ‘mobile phones used to receive/send money’, while the modifying policy indicator is the human development index (HDI). The data is decomposed into seven sub-panels based on two fundamental characteristics, namely: regions (Latin America, Asia and Pacific, Central and Eastern Europe, and Middle East and North Africa) and income levels (upper middle income, lower middle income and low income). Our results show that at certain thresholds of the HDI, mobile banking is positively linked to inclusive development. The following specific findings are established. First, the increased use of mobile phones to pay bills is negatively correlated with: (i) poverty in lower-middle-income countries (LMIC), upper-middle-income countries (UMIC) and Latin American countries (LA), respectively at HDI thresholds of 0.725, 0.727 and 0.778 and; (ii) inequality in UMIC and LA with HDI thresholds of respectively 0.646 and 0.761. Second, the increased use of mobile phones to send/receive money is negatively correlated with: (i) poverty in LMIC, UMIC and Central and Eastern European countries (CEE) with corresponding HDI thresholds of 0.631, 0.750 and 0.750 and (ii) inequality in UMIC, CEE and LA at HDI thresholds of 0.665, 0.736 and 0.726 respectively. The findings are discussed in the light of current policy challenges in the transition from Millennium Development Goals to Sustainable Development Goals. We have exploited the only macroeconomic data on mobile banking currently available. |
