Arbeitspapier

What determines demand for digital community currencies? OurVillage in Cameroon

Community currency systems are now turning to digital methods to increase the social outreach of member households in remote areas, mitigate detrimental effects in times of crises, and promote community social cohesion. The resilience of digital community currency systems depends on a set of decisive factors including stability, sustainability, and technical functionality. OurVillage in Cameroon is a socio-economic project that aims to increase and promote economic activity through the introduction of a blockchain-based local community currency system. This paper explores the potential of electronic complimentary payment systems by examining the underlying motivations for consumer use based on their socio-economics characteristics. We develop a demand estimate for the community currency, concentrating on the underlying environmental conditions of the target population. A demand study is helpful in order to observe the optimal conditions for goods' consumption, in this case the community currency system. The resulting estimation provides fundamental insights into the quality of the project and the determinants for successful implementation. Our findings have important policy implications, particularly for communities intending to introduce their own digital community currency systems.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 209/2023

Classification
Wirtschaft
Econometric and Statistical Methods and Methodology: General
Institutions: Design, Formation, Operations, and Impact
Monetary Systems; Standards; Regimes; Government and the Monetary System; Payment Systems
Microeconomic Analyses of Economic Development
Subject
demand estimates
community currency
socio-economic development projects

Event
Geistige Schöpfung
(who)
Pédussel Wu, Jennifer
Metzger, Martina
Neira, Ignacio Silva
Farroukh, Arafet
Event
Veröffentlichung
(who)
Hochschule für Wirtschaft und Recht Berlin, Institute for International Political Economy (IPE)
(where)
Berlin
(when)
2023

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Pédussel Wu, Jennifer
  • Metzger, Martina
  • Neira, Ignacio Silva
  • Farroukh, Arafet
  • Hochschule für Wirtschaft und Recht Berlin, Institute for International Political Economy (IPE)

Time of origin

  • 2023

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