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A stochastic multiple players multi-issues bargaining model for the Piave river basin

Author

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  • Carlo Carraro

    (Department of Economics, University Of Venice C� Foscari, Fondazione Eni Enrico Mattei, CEPR, CEPS and CMCC)

  • Alessandra Sgobbi

    (Fondazione Eni Enrico Mattei and CMCC)

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

  • Carlo Carraro & Alessandra Sgobbi, 2007. "A stochastic multiple players multi-issues bargaining model for the Piave river basin," Working Papers 2007_28, Department of Economics, University of Venice "Ca' Foscari".
  • Handle: RePEc:ven:wpaper:2007_28
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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.
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    Keywords

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    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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