Argentina's Parallel Currency
Abstract
Analyzes the rise and fall of the Red de Trueque (launched in 1995 by a group of environmentalists who exchanged goods and services at their own 'market' using a system of mutual credit) in Argentina. This book identifies rules of governance and sustainability for institutional settings in which state regulation is minimal.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A study on Argentinian Trueques found that many users simply wanted to make some extra money on the side.
“Similarly, a study on Argentinian Trueques found that many users simply wanted to make some extra money on the side (Gómez 2009).”
From The Ethics of Alternative Currencies (2022) · cites this paper as Gómez 2009
The citation lists haven’t been fetched yet
Cited by 1
- Authors
- Gomez, G. M.
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2015-10-06
- OpenAlex
- W4235259778
- Cited by
- 1
- References
- 0
- Citations by year
- 2020: 1
- FWCI
- 0.00
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Social and Economic Solidarity
- Social Sciences › Urban Studies › Social Sciences and Governance
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Theory and Institutions
- Keywords
- parallel currency, mutual credit, barter, alternative currencies, institutional governance, Argentina
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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