Downloads provided by UsageCounts
handle: 10261/196648
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
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
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
| 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). | 15 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 59 | |
| downloads | 133 |

Views provided by UsageCounts
Downloads provided by UsageCounts