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A participatory budget model under uncertainty

Authors: Javier Gomez 0003; David Ríos Insua; César Alfaro;

A participatory budget model under uncertainty

Abstract

Participatory budgets are becoming increasingly popular in many municipalities all over the world. The underlying idea is to allow citizens to participate in the allocation of a fraction of the municipal budget. There are many variants of such processes. However, in most cases they assume a fixed budget based upon a maximum amount of money to be spent. This approach seems lacking, especially in times of crisis when public funding suffers high volatility and widespread cuts. In this paper, we propose a model for participatory budgeting under uncertainty based on stochastic programming.

Research supported by MINECO Project (Grant no. MTM2014- 56949-C3-1-R), Corporate Community (Grant no. IPT-2011-0871- 430000), Democracy4All (Grant no. IPT-2011-0869-430000) and the AXA-ICMAT Chair in Adversarial Risk Analysis. We are very grateful to the discussions by the referees and Manuel Arenilla, Head of INAP.

Peer Reviewed

Country
Spain
Keywords

Decision making under uncertainty, Management decision making, including multiple objectives, resource allocation, decision making under uncertainty, flexible budgeting, participatory budgeting, Flexible budgeting, Participatory budgeting, Multicriteria decision making, multicriteria decision making, Resource allocation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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15
Top 10%
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59
133
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bronze