AMU - AMSE
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Ami
Publications
The absence of information on the state of the resource is considered as one of the main reasons of resource collapses. In the current study, we propose a solution to this problem stemming from the resource users. They can perceive the resource dynamics by the impact it has on their profits. At a given time step, the state of the resource depends on its previous states and hence on the agents’ past decisions. In this perspective, different perceptions are characterized by different weights that the resource users assign to the current and past actions in the profit formation. In order to capture these individual differences, we consider Schaefer-Gordon dynamic model. On its basis, we develop a learning model, adapted from Roth-Erev model. The simulation results show that the resource can be exploited in a sustainable manner if the past action is taken into account.
This paper investigates impacts of the creation of Marine Protected Areas (MPAs), in both economic and biological perspectives. The economic indicator is defined as the sum of discounted benefits derived from exploitation of the resource in the fishery sector, assumed to be optimally managed. The biological indicator is taken as the stock density of the resource. The basic fishery model (C.W. Clark, Mathematical Bioeconomics: The Optimal Management of Renewable Resources, second ed., John Wiley and Sons, New York, 1990) will serve as a convenient benchmark in comparing results with those that are derived from a model of two patchy populations (cf. R. Hannesson, Marine reserves: what would they accomplish, Mar. Resour. Econ. 13 (1998) 159). In the latter, a crucial characteristic is the migration coefficient with describes biological linkages between protected and unprotected areas. A set of situations where both economic and biological criteria are enhanced, after introducing a MPA, is presented. These results are obtained with the help of numerical simulations. To cite this article: D. Ami et al., C. R. Biologies 328 (2005).
In this paper, we try to evaluate the benefits of biodiversity restoration in the southwest of France, along the Garonne river. This particular riparian forest has been studied extensively by a group of ecologists belonging to the CNRS (National Centre for Scientific Research) in Toulouse. A contingent valuation method was applied. A representative sample of 402 persons living in the surrounding region (the "departements" Tarn-et-Garonne and Haute-Garonne) was asked in face-to-face interviews about their willingness-to-pay for the restoration programme. Even if these persons are familiar with the good to value because they live close to the river bank (less than 30 km), it appears that they adopt a donation attitude more than a transaction attitude. Moreover, an open-ended question seems preferable to a close-ended question, in contrast to the recommendations made by the American administration.
[fre] L'évaluation contingente est couramment utilisée pour donner un prix aux actifs naturels. Le traitement économétrique des valeurs obtenues à l'aide de cette méthode directe de révélation des préférences pose des problèmes du fait du nombre élevé (généralement autour de 50%) de valeurs nulles. Différentes méthodes de traitement des réponses égales à zéro, dans le cas d'une question ouverte, peuvent être envisagées. Trois modèles sont étudiés, testés économétriquement et comparés : le modèle de régression linéaire, le modèle de Heckman et le modèle de Tobin. On s'interroge également sur les comportements micro-économiques sous-jacents à chacun de ces modèles. L'objectif de cet article est de montrer qu'il n'est pas pertinent d'utiliser le modèle de Tobin car les valeurs nulles ne peuvent pas être traitées uniformément comme des valeurs censurées. [eng] Analysing Responses at Zero in Contingent Valuation by Dominique Ami and Brigitte Desaigues Contingent valuation is often used to put a price on natural assets. Econometric analysis of values obtained by this direct method of preference revelation raises problems due to the high proportion (generally around 50%) of zero values. Various methods of analysing responses at zero can be considered in the case of open-ended questions. Here three models are studied, tested econometrically and compared: the linear regression model, the Heckman model, and the Tobin model. The microeconomic attitudes underlying each of these models are also examined. The object of the paper is to show that use of the Tobin model is not relevant since zero values cannot be treated uniformly in the same way as censored values.