scholarly journals Future Information Technology Tools for Fighting Substandard and Falsified Medicines in Low- and Middle-Income Countries

2018 ◽  
Vol 9 ◽  
Author(s):  
Huma Rasheed ◽  
Ludwig Höllein ◽  
Ulrike Holzgrabe
Keyword(s):  
Information Technology ◽  
Middle Income ◽  
Middle Income Countries ◽  
Technology Tools ◽  
Falsified Medicines ◽  
Future Information ◽  
Low And Middle Income

Cross-country income variations and inclusive financing

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Nabeel Safdar ◽  
Tian Lin ◽  
Saba Amin
Keyword(s):  
Information Technology ◽  
Principal Component ◽  
High Income ◽  
Financial Inclusion ◽  
Middle Income ◽  
Content Type ◽  
Middle Income Countries ◽  
Cross Country ◽  
The Impact ◽  
Low And Middle Income

Purpose This study, a symposium, aims to explore the determinants of financial inclusion, impact of cross-country income-variations on financial inclusion, do high-income countries really uplift the financial inclusion and does the higher financial inclusion index indicate the larger economy? Design/methodology/approach This study adopts the panel data model to investigate the impact of high-income countries and low- and middle-income countries on financial inclusion. However, this study further adopts the principal component analysis rather than Sarma’s approach to calculate the financial inclusion index. Findings Based on the Data of World Bank, United Nations, International Monetary Fund, World Development Indicators, this study concludes that there is no nexus between income variations and financial inclusion, as the study reveals that some low- and middle-income countries have greater financial inclusion index such as Thailand (2.8538FII), Brazil (1.9526FII) and Turkey (0.8582FII). In low- and middle-income countries, the gross domestic product per capita, information technology and communication, the rule of law, age dependency ratio and urbanization have a noteworthy impact on financial inclusion that accumulatively describe the 83% of the model. Whereas, in high-income countries, merely, information technology and urbanization have a substantial influence on the growth of financial revolution and financial inclusion that describes the 70% of the total. Research limitations/implications The biggest limitation is the availability of data from different countries. Originality/value The originality of this paper is its technique, which is used in this paper to calculate the financial inclusion index. Furthermore, this study contributes to 40 different countries based on income, which could help to boost financial inclusion, and ultimately, it leads them toward economic growth.

scholarly journals Prevalence and Estimated Economic Burden of Substandard and Falsified Medicines in Low- and Middle-Income Countries

2018 ◽  
Vol 1 (4) ◽  
pp. e181662 ◽  
Author(s):  
Sachiko Ozawa ◽  
Daniel R. Evans ◽  
Sophia Bessias ◽  
Deson G. Haynie ◽  
Tatenda T. Yemeke ◽  
...  
Keyword(s):  
Economic Burden ◽  
Middle Income ◽  
Middle Income Countries ◽  
Falsified Medicines ◽  
Low And Middle Income

Some Conditions for Task Shifting in Low and Middle-Income Countries

2012 ◽  
Author(s):  
Joop de Jong ◽  
Mark Jordans ◽  
Ivan Komproe ◽  
Robert Macy ◽  
Aline & Herman Ndayisaba ◽  
...  
Keyword(s):  
Task Shifting ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income
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