AGDI a environ 300 publications actuellement.
2018 |
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1. | 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. |