Negociatrix policy game: building capacities in trade policy analysis

The Negociatrix Policy Game is a tool for training in multilateral negotiation, which has been developed through a partnership between FAO and the University of Wageningen in the Netherlands. This tool is a software based on a quantitative model and a simulation that consents to underline the importance of analytical capacities in negotiations and to demonstrate the importance of consistency of the strategies of negotiation. This software is applied to the multilateral trade negotiations for agriculture. It is inspired by the simulation called Negociatrix (www.fao.org/tc/tca/negotiation) that FAO developed at an earlier stage (2005) and that has been presented at the Harvard PON/IRENE conference in November 2005 in Paris. The software allows simulating several successive rounds of negotiation and notably revealing after each round the impact of the agreement concluded to the previous round. In that sense, the strategy of negotiation adopted can be more directly evaluated. The software is conceived like a tool to support the preparation of decisions and negotiations. This article presents the structure of the software, explains how it works, comments the first application modalities and proposes the conditions of use.

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Bibliographic Details
Main Authors: Balie, J., van Hofwegen, G., Jongeneel, R., Koning, N.B.J.
Format: External research report biblioteca
Language:English
Published: FAO
Subjects:agricultural trade, computer simulation, computer software, decision analysis, decision making, food and agriculture organization, games, international trade, trade agreements, trade negotiations, trade policy, trade relations, agrarische handel, analyse van besluiten, besluitvorming, computersimulatie, handelsakkoorden, handelsonderhandelingen, handelspolitiek, handelsrelaties, internationale handel, spellen, voedsel- en landbouworganisatie,
Online Access:https://research.wur.nl/en/publications/negociatrix-policy-game-building-capacities-in-trade-policy-analy
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