Signal · indexed from World Bank Documents & Reports
World Bank
Fast payment systems - platforms that settle money transfers within seconds, around the clock - are spreading rapidly across the world. More than 100 countries now operate or are building such systems (section 2). Brazil’s Pix, India’s Unified Payments Interface, and similar platforms in the European Union, the United Kingdom, Singapore, and many emerging markets are already handling billions of transactions each year. This paper asks whether that shift in how payments work can also shift how economies perform. The short answer, as a hypothesis supported by a growing body of indirect evidence, is yes, but only under the right conditions, and the magnitude of the effect is still to be measured. This paper does not claim that fast payment systems have already been proven to raise growth and employment. Its purpose is more modest: to explain why fast payments may matter for the wider economy, through which channels they may operate, and what conditions must be in place for their benefits to materialize. Some of the supporting evidence comes directly from experiences with fast payment systems; some comes from related areas such as digital payments, mobile money, open banking, and fintech credit. A companion empirical paper will test these channels more directly. This paper argues that the combined effect of these compressions is potentially transformational for macroeconomic outcomes - affecting money velocity, credit availability, fiscal efficiency, business productivity, and, ultimately, jobs and growth. This paper presents these as hypotheses, not established facts. The widespread use of fast payment systems is a recent phenomenon, and rigorous empirical evidence on its macro effects is still limited. A follow-on empirical paper will test these mechanisms using cross-country data. The present paper builds the conceptual foundation for that work.
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| Field | How we know | State | Confidence |
|---|---|---|---|
| Publication date | Official API or feed | Data quality: Source-backed | 100 |
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