AGDI a environ 300 publications actuellement.
2020 |
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| 1. | Diop, Simplice Asongu Samba A 2020. Abstract | Links | BibTeX | Tags: Africa, Coronavirus, pandemic, Poverty @unpublished{Asongu_54, author = {Simplice Asongu A Samba Diop}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/The-Covid-19-Pandemic-and-the-New-Poor-in-Africa.pdf}, year = {2020}, date = {2020-06-27}, abstract = {This study assesses the incidence of the Covid-19 pandemic on poverty levels in 50 African countries by employing the PovcalNet computational tool for poverty monitoring. The empirical evidence is based on: (i) Pre Covid-19 macroeconomic projections of October 2019 and revised macroeconomic projections of April 2020 and (ii) three poverty thresholds, notably, US$1.90, US$3.20, and US$5.50 per day for the extreme, middle and higher poverty lines. The following main findings are established. First, the extreme poverty line of US$1.90 per day has increased by US$0.1 per day while the middle poverty line and the higher line have increased by US0.19$ and US0.32$, respectively. Second, the poverty headcount has increased to 35.85% for the US1.90$ poverty line, 57.55% for the US3.20$ per day poverty line and 76.42% for the higher poverty line (US5.5$ per day). Third, the corresponding additional percentage points in poverty headcount ratio are: (i) an increase of 2.09% for the poverty thresholds of US1.90$ per day and US3.2$ per day, corresponding to 28, 140, 345 and 26, 418, 200 million, respectively of the new poor in absolute terms and (ii) a boost of 1.78% for the higher poverty line of US5.5$ per day, corresponding to 19, 062, 643 million of the new poor. Fourth, country-specific tendencies are also provided for more targeted policy implications.}, keywords = {Africa, Coronavirus, pandemic, Poverty}, pubstate = {published}, tppubtype = {unpublished} } This study assesses the incidence of the Covid-19 pandemic on poverty levels in 50 African countries by employing the PovcalNet computational tool for poverty monitoring. The empirical evidence is based on: (i) Pre Covid-19 macroeconomic projections of October 2019 and revised macroeconomic projections of April 2020 and (ii) three poverty thresholds, notably, US$1.90, US$3.20, and US$5.50 per day for the extreme, middle and higher poverty lines. The following main findings are established. First, the extreme poverty line of US$1.90 per day has increased by US$0.1 per day while the middle poverty line and the higher line have increased by US0.19$ and US0.32$, respectively. Second, the poverty headcount has increased to 35.85% for the US1.90$ poverty line, 57.55% for the US3.20$ per day poverty line and 76.42% for the higher poverty line (US5.5$ per day). Third, the corresponding additional percentage points in poverty headcount ratio are: (i) an increase of 2.09% for the poverty thresholds of US1.90$ per day and US3.2$ per day, corresponding to 28, 140, 345 and 26, 418, 200 million, respectively of the new poor in absolute terms and (ii) a boost of 1.78% for the higher poverty line of US5.5$ per day, corresponding to 19, 062, 643 million of the new poor. Fourth, country-specific tendencies are also provided for more targeted policy implications. |
2018 |
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| 2. | 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. |
| 3. | 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. |
| 4. | Katera, Stephen Mwombela Lulu Olan’g Riccardo Pelizzo Lucas 2018. Abstract | Links | BibTeX | Tags: Afrobarometer, Development, Inequality, lived poverty, Poverty, Tanzania @unpublished{Asongu_365, author = {Stephen Mwombela Lulu Olan’g Riccardo Pelizzo Lucas Katera}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/Poverty_in_tanzania.pdf}, year = {2018}, date = {2018-03-18}, abstract = {The paper investigates the relationship between development, as measured by the GNI per capita and lived poverty in Tanzania which is measured on the basis of whether and how often respondents go, in the course of one year, without food, water, medical care, cooking fuel and cash income. By using the data collected by Afrobarometer in Tanzania, we are able to create one set of indicators that capture the extension of lived poverty, that is what percentage of the respondents, experiences deprivation, but we also develop a series of indicators that capture the severity of lived poverty, that is how frequently respondents experience this problem. Our statistical analyses reveal that while Tanzanian progress along the developmental path did not have a significant impact on the extension of lived poverty, it made a large and significant contribution to reduce its severity.}, keywords = {Afrobarometer, Development, Inequality, lived poverty, Poverty, Tanzania}, pubstate = {published}, tppubtype = {unpublished} } The paper investigates the relationship between development, as measured by the GNI per capita and lived poverty in Tanzania which is measured on the basis of whether and how often respondents go, in the course of one year, without food, water, medical care, cooking fuel and cash income. By using the data collected by Afrobarometer in Tanzania, we are able to create one set of indicators that capture the extension of lived poverty, that is what percentage of the respondents, experiences deprivation, but we also develop a series of indicators that capture the severity of lived poverty, that is how frequently respondents experience this problem. Our statistical analyses reveal that while Tanzanian progress along the developmental path did not have a significant impact on the extension of lived poverty, it made a large and significant contribution to reduce its severity. |
| 5. | Asongu, Jacinta Nwachukwu Simplice C A Information Technology & People, 31 (1), pp. 63-83, 2018. Abstract | Links | BibTeX | Tags: Empirical study, Inequality, Mobile banking, Mobile communications, Poverty @article{Asongu_373, author = {Jacinta Nwachukwu C Simplice A. Asongu}, url = {http://www.emeraldinsight.com/eprint/GMCRYF4QEHV2N8DY9KIZ/full}, doi = {10.1108/ITP-12-2015-0295}, year = {2018}, date = {2018-02-05}, journal = {Information Technology & People}, volume = {31}, number = {1}, pages = {63-83}, abstract = {Purpose The purpose of this paper is to assess the correlations between mobile banking and inclusive development (poverty and inequality) in 93 developing countries for the year 2011. Design/methodology/approach Mobile banking entails the following: “mobile phones used to pay bills” and “mobile phones used to receive/send money”, while the modifying policy indicator includes the human development index (HDI). The data are decomposed into seven sub-panels based on two fundamental characteristics: regions (Latin America, Asia and the Pacific, Central and Eastern Europe, and Middle East and North Africa) and income levels (upper middle income, lower middle income and low income). Findings The 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: poverty in lower-middle-income countries (LMIC), upper-middle-income countries (UMIC) and Latin American (LA) countries, respectively, at HDI thresholds of 0.725, 0.727 and 0.778 and 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: poverty in LMIC, UMIC and Central and Eastern European (CEE) countries with corresponding HDI thresholds of 0.631, 0.750 and 0.750 and inequality in UMIC, CEE and LA at HDI thresholds of 0.665, 0.736 and 0.726, respectively. Practical implications The findings are discussed in the light of current policy challenges in the transition from the UN’s Millennium Development Goals to Sustainable Development Goals. Originality/value The authors have exploited the only macroeconomic data on mobile banking currently available.}, keywords = {Empirical study, Inequality, Mobile banking, Mobile communications, Poverty}, pubstate = {published}, tppubtype = {article} } Purpose The purpose of this paper is to assess the correlations between mobile banking and inclusive development (poverty and inequality) in 93 developing countries for the year 2011. Design/methodology/approach Mobile banking entails the following: “mobile phones used to pay bills” and “mobile phones used to receive/send money”, while the modifying policy indicator includes the human development index (HDI). The data are decomposed into seven sub-panels based on two fundamental characteristics: regions (Latin America, Asia and the Pacific, Central and Eastern Europe, and Middle East and North Africa) and income levels (upper middle income, lower middle income and low income). Findings The 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: poverty in lower-middle-income countries (LMIC), upper-middle-income countries (UMIC) and Latin American (LA) countries, respectively, at HDI thresholds of 0.725, 0.727 and 0.778 and 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: poverty in LMIC, UMIC and Central and Eastern European (CEE) countries with corresponding HDI thresholds of 0.631, 0.750 and 0.750 and inequality in UMIC, CEE and LA at HDI thresholds of 0.665, 0.736 and 0.726, respectively. Practical implications The findings are discussed in the light of current policy challenges in the transition from the UN’s Millennium Development Goals to Sustainable Development Goals. Originality/value The authors have exploited the only macroeconomic data on mobile banking currently available. |
| 6. | Kinyondo, Zim Nwokora Riccardo Pelizzo Abel 2018. Abstract | Links | BibTeX | Tags: Africa, Development, Institutions, Poverty, world system @unpublished{Asongu_375, author = {Zim Nwokora Riccardo Pelizzo Abel Kinyondo}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/Development-in-Africa.pdf}, year = {2018}, date = {2018-02-01}, abstract = {The purpose of the chapter is to analyze Africa’s economic successes in the past half century, to understand not only what made it possible but also and more importantly what risk factors may eventually bring it to an end or compromise it. While it may not be possible for Africa to alter, for now, its position in the world system, it may nonetheless create the conditions for sustained economic growth and development by deepening democracy, enhancing the stability of political regimes and by reducing the incidence of tropical diseases.}, keywords = {Africa, Development, Institutions, Poverty, world system}, pubstate = {published}, tppubtype = {unpublished} } The purpose of the chapter is to analyze Africa’s economic successes in the past half century, to understand not only what made it possible but also and more importantly what risk factors may eventually bring it to an end or compromise it. While it may not be possible for Africa to alter, for now, its position in the world system, it may nonetheless create the conditions for sustained economic growth and development by deepening democracy, enhancing the stability of political regimes and by reducing the incidence of tropical diseases. |
2017 |
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| 7. | 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. |
| 8. | O, Asongu & Kodila-Tedika S A Social Indicators Research, 2017. Abstract | Links | BibTeX | Tags: Development, Institutions, Poverty @article{Asongu_431, author = {Asongu & Kodila-Tedika S A O}, url = {https://link.springer.com/article/10.1007/s11205-017-1709-y}, doi = {10.1007/s11205-017-1709-y}, year = {2017}, date = {2017-07-27}, journal = {Social Indicators Research}, abstract = {Tebaldi and Mohan (Journal of Development Studies 46:1047–1066, 2010) have established an empirical relationship between institutions and monetary poverty. We first, reflect their findings in the light of recent development models, debates and currents in post-2010 literature. We then re-examine their results with a non-monetary and multidimensional poverty indicator first published in 2010. Our findings confirm the negative relationship and the nexus disappears with control for average income. Hence, confirming the conclusions of the underlying study that institutions could have an indirect effect on multidimensional poverty. In other words, the poverty eradication effect of institutions is through average income as opposed to income inequality. We discuss how the findings provide insights into: (1) the Chinese model versus sustainable development; (2) debates over preferences in economic rights; (3) China’s development and outlook; (4) the Fosu conjectures and (5) Piketty’s and Kuznets’ literatures.}, keywords = {Development, Institutions, Poverty}, pubstate = {published}, tppubtype = {article} } Tebaldi and Mohan (Journal of Development Studies 46:1047–1066, 2010) have established an empirical relationship between institutions and monetary poverty. We first, reflect their findings in the light of recent development models, debates and currents in post-2010 literature. We then re-examine their results with a non-monetary and multidimensional poverty indicator first published in 2010. Our findings confirm the negative relationship and the nexus disappears with control for average income. Hence, confirming the conclusions of the underlying study that institutions could have an indirect effect on multidimensional poverty. In other words, the poverty eradication effect of institutions is through average income as opposed to income inequality. We discuss how the findings provide insights into: (1) the Chinese model versus sustainable development; (2) debates over preferences in economic rights; (3) China’s development and outlook; (4) the Fosu conjectures and (5) Piketty’s and Kuznets’ literatures. |
| 9. | 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. |
| 10. | 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. |
