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A Stochastic Multiple Players Multi-Issues Bargaining Model for the Piave River Basin

Author

Listed:
  • Alessandra Sgobbi

    (Fondazione Eni Enrico Mattei)

  • Carlo Carraro

    (Fondazione Eni Enrico Mattei, University of Venice, CEPR, CEPS, CMCC and CESifo)

Abstract

The objective of this paper is to investigate the usefulness of non-cooperative bargaining theory for the analysis of negotiations on water allocation and management. We explore the impacts of different economic incentives, a stochastic environment and varying individual preferences on players’ strategies and equilibrium outcomes through numerical simulations of a multilateral, multiple issues, non-cooperative bargaining model of water allocation in the Piave River Basin, in the North East of Italy. Players negotiate in an alternating-offer manner over the sharing of water resources (quantity and quality). Exogenous uncertainty over the size of the negotiated amount of water is introduced to capture the fact that water availability is not known with certainty to negotiating players. We construct the players’ objective function with their direct input. We then test the applicability of our multiple players, multi-issues, stochastic framework to a specific water allocation problem and conduct comparative static analyses to assess sources of bargaining power. Finally, we explore the implications of different attitudes and beliefs over water availability.

Suggested Citation

  • Alessandra Sgobbi & Carlo Carraro, 2007. "A Stochastic Multiple Players Multi-Issues Bargaining Model for the Piave River Basin," Working Papers 2007.101, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2007.101
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    References listed on IDEAS

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    Cited by:

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    2. Dagmawi Mulugeta Degefu & Weijun He & Liang Yuan, 2017. "Monotonic Bargaining Solution for Allocating Critically Scarce Transboundary Water," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2627-2644, July.
    3. Henry Penikas & Yulia Titova, 2012. "Modeling Policy Response to Global Systemically Important Banks Regulation," HSE Working papers WP BRP 02/FE/2012, National Research University Higher School of Economics.
    4. Alban Thomas & Vera Zaporozhets, 2017. "Bargaining Over Environmental Budgets: A Political Economy Model with Application to French Water Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 227-248, October.

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    More about this item

    Keywords

    Bargaining; Non-Cooperative Game Theory; Simulation Models; Uncertainty;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory

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