The Better Than Cash Alliance is a partnership of governments, companies, and international organizations that accelerates the transition from cash to digital payments in order to help achieve the Sustainable Development Goals.
Real-world experiences from micro-merchants across ASEAN that highlight the factors that build or erode trust in DFS.
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The aim of the paper is to bridge the theoretical and methodological gap to evaluate how the social construction of m-banking enables and constrains poor women to access G2P payments in Pakistan.
Through an interpretive case study of the Benazir Income Support Programme (BISP) in Pakistan, the paper investigates how the adoption of mobile phones enabled and constrained poor women for receiving G2P payments and its impact on poor households.
This book features case studies from India demonstrating approaches of problem solving, enhancing quality family planning care at the grass-roots level and facilitates advocacy, strengthening programme design and enhancing competency as well as orienting the healthcare system.
Flat World Navigation introduces the new future of work in the ‘flattened world’ of the new digital attention-based economy, this book provides insights and advice to build your skills base and empower the next generation of business people.
Farmers are adapting mobile technology to meet market needs and drive progress on their own terms rather than waiting for telecommunications companies to deliver solutions…
This blog post was originally published on Gallup.com
A report by the World Bank Development Research Group, the Better Than Cash Alliance, the Bill & Melinda Gates Foundation and Women’s World Banking to the G20 Global Partnership for Financial Inclusion.
This paper suggests policymakers and other stakeholders should leverage trends toward financially-inclusive e-payments as a means to achieve multiple potential objectives for bringing financial inlcusion to adolescent girls.
The McKinsey Global Institute has mapped 15 gender-equality indicators for 95 countries and finds that 40 of them have high or extremely high levels of gender inequality on at least half of the indicators.