IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v249y2016i1p351-358.html
   My bibliography  Save this article

A participatory budget model under uncertainty

Author

Listed:
  • Gomez, J.
  • Insua, D. Rios
  • Alfaro, C.

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.

Suggested Citation

  • Gomez, J. & Insua, D. Rios & Alfaro, C., 2016. "A participatory budget model under uncertainty," European Journal of Operational Research, Elsevier, vol. 249(1), pages 351-358.
    • Handle: RePEc:eee:ejores:v:249:y:2016:i:1:p:351-358
    DOI: 10.1016/j.ejor.2015.09.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221715008486
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ejor.2015.09.024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kalai, Ehud & Smorodinsky, Meir, 1975. "Other Solutions to Nash's Bargaining Problem," Econometrica, Econometric Society, vol. 43(3), pages 513-518, May.
    2. Gregory E. Kersten, 2001. "Modeling Distributive and Integrative Negotiations. Review and Revised Characterization," Group Decision and Negotiation, Springer, vol. 10(6), pages 493-514, November.
    3. Efremov, Roman & Insua, David Rios & Lotov, Alexander, 2009. "A framework for participatory decision support using Pareto frontier visualization, goal identification and arbitration," European Journal of Operational Research, Elsevier, vol. 199(2), pages 459-467, December.
    4. Gomez, J. & Insua, D. Rios & Lavin, J.M. & Alfaro, C., 2013. "On deciding how to decide: Designing participatory budget processes," European Journal of Operational Research, Elsevier, vol. 229(3), pages 743-750.
    5. Thomson, William, 1994. "Cooperative models of bargaining," Handbook of Game Theory with Economic Applications, in: R.J. Aumann & S. Hart (ed.), Handbook of Game Theory with Economic Applications, edition 1, volume 2, chapter 35, pages 1237-1284, Elsevier.
    6. A. Charnes & W. W. Cooper & G. H. Symonds, 1958. "Cost Horizons and Certainty Equivalents: An Approach to Stochastic Programming of Heating Oil," Management Science, INFORMS, vol. 4(3), pages 235-263, April.
    7. Robert W. Rosenthal, 1978. "Arbitration of Two-party Disputes under Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 45(3), pages 595-604.
    8. Moon, Yongma & Yao, Tao & Park, Sungsoon, 2011. "Price negotiation under uncertainty," International Journal of Production Economics, Elsevier, vol. 134(2), pages 413-423, December.
    9. Kriens, J. & van Lieshout, J. Th. & Roemen, J. & Verheyen, P., 1983. "Management accounting and operational research," European Journal of Operational Research, Elsevier, vol. 13(4), pages 339-352, August.
    10. Robert F. Bordley & Stephen M. Pollock, 2009. "A Decision-Analytic Approach to Reliability-Based Design Optimization," Operations Research, INFORMS, vol. 57(5), pages 1262-1270, October.
    11. A. Charnes & W. W. Cooper, 1959. "Chance-Constrained Programming," Management Science, INFORMS, vol. 6(1), pages 73-79, October.
    12. Brams, Steven J. & Fishburn, Peter C., 2002. "Voting procedures," Handbook of Social Choice and Welfare, in: K. J. Arrow & A. K. Sen & K. Suzumura (ed.), Handbook of Social Choice and Welfare, edition 1, volume 1, chapter 4, pages 173-236, Elsevier.
    13. Kriens, J. & van Lieshout, J.T.H.C. & Roemen, J.H.J. & Verheyen, P.A., 1983. "Management accounting and operational research," Other publications TiSEM da4f2baa-f699-48f2-80b7-8, Tilburg University, School of Economics and Management.
    14. Robinson, A. & Ysander, Bengt-Christer, 1981. "Flexibility in Budget Policy: The Changing Problems and Requirements of Public Budgeting," Working Paper Series 50, Research Institute of Industrial Economics.
    15. Abdelaziz, Fouad Ben & Aouni, Belaid & Fayedh, Rimeh El, 2007. "Multi-objective stochastic programming for portfolio selection," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1811-1823, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bednarska-Olejniczak, Dorota & Olejniczak, Jaroslaw, 2017. "Participatory Budgeting in Poland – Finance and Marketing Selected Issues," MPRA Paper 87659, University Library of Munich, Germany, revised 2017.
    2. Walczak, Dariusz & Rutkowska, Aleksandra, 2017. "Project rankings for participatory budget based on the fuzzy TOPSIS method," European Journal of Operational Research, Elsevier, vol. 260(2), pages 706-714.
    3. A. Szczepańska & M. Zagroba & K. Pietrzyk, 2022. "Participatory Budgeting as a Method for Improving Public Spaces in Major Polish Cities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 231-252, July.
    4. Eva Tomaskova & Romana Buzkova, 2020. "Participatory Budgeting in Brno – Inspiration for Other Cities?," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 758-770.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Grani A. Hanasusanto & Vladimir Roitch & Daniel Kuhn & Wolfram Wiesemann, 2017. "Ambiguous Joint Chance Constraints Under Mean and Dispersion Information," Operations Research, INFORMS, vol. 65(3), pages 751-767, June.
    2. José-Manuel Giménez-Gómez & António Osório & Josep E. Peris, 2015. "From Bargaining Solutions to Claims Rules: A Proportional Approach," Games, MDPI, vol. 6(1), pages 1-7, March.
    3. Glover, Fred & Sueyoshi, Toshiyuki, 2009. "Contributions of Professor William W. Cooper in Operations Research and Management Science," European Journal of Operational Research, Elsevier, vol. 197(1), pages 1-16, August.
    4. Yanikoglu, I. & den Hertog, D., 2011. "Safe Approximations of Chance Constraints Using Historical Data," Other publications TiSEM ab77f6f2-248a-42f1-bde1-0, Tilburg University, School of Economics and Management.
    5. L. Jeff Hong & Zhiyuan Huang & Henry Lam, 2021. "Learning-Based Robust Optimization: Procedures and Statistical Guarantees," Management Science, INFORMS, vol. 67(6), pages 3447-3467, June.
    6. Bas Dietzenbacher & Hans Peters, 2022. "Characterizing NTU-bankruptcy rules using bargaining axioms," Annals of Operations Research, Springer, vol. 318(2), pages 871-888, November.
    7. Fabio Galeotti & Maria Montero & Anders Poulsen, 2022. "The Attraction and Compromise Effects in Bargaining: Experimental Evidence," Management Science, INFORMS, vol. 68(4), pages 2987-3007, April.
    8. Forgo, F. & Szidarovszky, F., 2003. "On the relation between the Nash bargaining solution and the weighting method," European Journal of Operational Research, Elsevier, vol. 147(1), pages 108-116, May.
    9. Hatem Masri, 2017. "A multiple stochastic goal programming approach for the agent portfolio selection problem," Annals of Operations Research, Springer, vol. 251(1), pages 179-192, April.
    10. Lombardi, Michele & Yoshihara, Naoki, 2010. "Alternative characterizations of the proportional solution for nonconvex bargaining problems with claims," Economics Letters, Elsevier, vol. 108(2), pages 229-232, August.
    11. Li, Chunding & Whalley, John, 2014. "China's potential future growth and gains from trade policy bargaining: Some numerical simulation results," Economic Modelling, Elsevier, vol. 37(C), pages 65-78.
    12. Gomez, Juan Camilo, 2006. "Achieving efficiency with manipulative bargainers," Games and Economic Behavior, Elsevier, vol. 57(2), pages 254-263, November.
    13. Safra, Zvi & Samet, Dov, 2004. "An ordinal solution to bargaining problems with many players," Games and Economic Behavior, Elsevier, vol. 46(1), pages 129-142, January.
    14. Geoffroy Clippel, 2007. "An axiomatization of the Nash bargaining solution," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 29(2), pages 201-210, September.
    15. Maji, Chandi Charan, 1975. "Intertemporal allocation of irrigation water in the Mayurakshi Project (India): an application of deterministic and chance-constrained linear programming," ISU General Staff Papers 197501010800006381, Iowa State University, Department of Economics.
    16. l'Haridon, Olivier & Malherbet, Franck & Pérez-Duarte, Sébastien, 2013. "Does bargaining matter in the small firms matching model?," Labour Economics, Elsevier, vol. 21(C), pages 42-58.
    17. S. Nuray Akin & Murat R. Sertel, 2007. "The Kalai-Smorodinsky Bargaining Solution Manipulated by Pre-Donations is Concessionary," Working Papers 0718, University of Miami, Department of Economics.
    18. Guy Laroque & Bernard Salanie, 2004. "Salaire minimum et emploi en présence de négociations salariales," Annals of Economics and Statistics, GENES, issue 73, pages 1-22.
    19. Yongjia Song & Minjiao Zhang, 2015. "Chance‐constrained multi‐terminal network design problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(4), pages 321-334, June.
    20. Xiaodi Bai & Jie Sun & Xiaojin Zheng, 2021. "An Augmented Lagrangian Decomposition Method for Chance-Constrained Optimization Problems," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 1056-1069, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:249:y:2016:i:1:p:351-358. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.