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Efficient biodiversity management strategies aim to allocate conservation efforts so as to maximize diversity in ecological systems. Toward this end, defining a diversity criterion is an important but challenging task, as several different indices can be used as biodiversity measures. This paper elicits and compares two criteria for biodiversity conservation based on indices stemming from different disciplines: Weitzman's index in economics and Rao's index in ecology. These indices use different approaches to combine information about measures of (1) the probability distributions of the species that are present in an ecosystem (i.e. survival probabilities) and (2) the degree of dissimilarity between these species. As an important step toward in situ conservation criteria, we add to these elements information about (3) the ecological interactions that take place between species. Considering a simple three-species ecosystem, we show that criterion choice has palpable policy implications, as it can sometimes lead to divergent management recommendations. We disentangle the roles played by elements (1), (2) and (3) in the ranking of outcomes, which allows us to highlight several specificities of the two criteria. An important result is that, other things being equal, Weitzman's in situ ranking tends to favor robust species that are least concerned with extinction, while Rao's in situ ranking generally gives priority to more vulnerable species that are closer to extinction.
Biological invasions entail massive biodiversity losses and tremendous economic impacts that justify significant management efforts. Because the funds available to control biological invasions are limited, there is a need to identify priority species. In this paper, we first review current invasive species prioritization methods and explicitly highlight their strengths and pitfalls. We then construct a cost–benefit optimization framework that offers the theoretical foundations of a simple method for the management of multiple invasive species under a limited budget. We provide an algorithm to operationalize this framework and render explicit the assumptions required to satisfy the management objective.
Coastal lagoons ecosystems, while representing benefits for the local populations, have been subjected to high anthropogenic pressures for decades. Hence, conservation measures of these ecosystems are urgently needed and should be combined with their sustainable uses. To address these issues, new research avenues for decision support systems have emphasized the role of the assessment of ecosystem services for establishing conservation priorities by avoiding monetarization approaches. These approaches, because they flatten the various values of nature by projecting them on the single monetary dimension, are often rejected by the stakeholders. We undertake a Q analysis to identify levels of consensus and divergence among stakeholders on the prioritization of ecosystem services provided by two French Mediterranean coastal lagoons areas. The results highlighted that there is a strong consensus among categories of stakeholders in the study sites about the paramount importance of regulation and maintenance services. Three groups of stakeholders, each sharing the same points of view regarding ecosystem services conservation, were identified for each study site. As a non-monetary valuation, Q methodology is very instrumental for the new pluralistic approach of decision support by capturing the values expressed by the stakeholders, without triggering a rejection reflex due to the monetarization.
In this paper, we investigate the determinants of private flood mitigation in France. We conducted a survey among 331 inhabitants of two flood-prone areas and collected data on several topics, including individual flood mitigation, risk perception, risk experience, and sociodemographic characteristics. We estimate discrete choice models to explain either the precautionary measures taken by the household, or the intention to undertake such measures in the future. Our results confirm that the Protection Motivation Theory is a relevant framework to describe the mechanisms of private flood mitigation in France, highlighting in particular the importance of threat appraisal and previous experience of floods. Some sociodemographic features also play a significant role in explaining private flood mitigation. We also observed that respondents who had already taken precautionary measures have a lower perception of the risk of flooding than respondents who planned to implement such measures at the time of the survey. This result can be explained by the existence of a feedback effect of having taken precautionary measures on risk perception. If subsequent studies support this assumption, it would imply that intended measures, rather than implemented ones, should be examined to explore further the determinants of private flood mitigation.
This paper provides general theorems about the control that maximizes the mixed Bentham–Rawls (MBR) criterion for intergenerational justice, which was introduced in Alvarez-Cuadrado and Long (2009). We establish sufficient concavity conditions for a candidate trajectory to be optimal and unique. We show that the state variable is monotonic under rather weak conditions. We also prove that inequality among generations, captured by the gap between the poorest and the richest generations, is lower when optimization is performed under the MBR criterion rather than under the discounted utilitarian criterion. A quadratic example is also used to perform comparative static exercises: it turns out, in particular, that the larger the weight attributed to the maximin part of the MBR criterion, the better-off the less fortunate generations. All those properties are discussed and compared with those of the discounted utilitarian (DU, Koopmans 1960) and the rank-discounted utilitarian (RDU, Zuber and Asheim, 2012) criteria. We contend they are in line with some aspects of the rawlsian just savings principle.
We test the effectiveness of a compensation mechanism, adapted from Varian (Am Econ Rev 84(5):1278–1293, 1994 ). When a negative externality is produced the mechanism allows agents suffering from it to compensate those who reduce its production, by way of transfers implemented via a two-stage design. We investigate various factors that might affect the likelihood that subjects coordinate on a Pareto optimum: the size of the strategy space, the number of subgame perfect equilibria and inequality of the payoff distribution. Our experimental findings suggest that the mechanism’s effectiveness crucially depends on the final payoff distribution (after transfers). It is also strongly negatively affected by the size of the strategy space. Finally, the impact of the number of equilibria on coordination only has a weak negative effect. Copyright Springer-Verlag Berlin Heidelberg 2015
We report the results of an experiment on voluntary contributions to a public good in which we implement a redistribution of the group endowment among group members in a lump sum manner. We study the impact of redistribution on group contribution, on individuals’ contributions according to their endowment and on welfare. Our experimental results show that welfare increases when equality is broken, as predicted by theory (Itaya et al. in, Econ Lett 57:289–296, 1997 ), because the larger contribution of the rich subjects overcompensates the lower contribution of the poor subjects. However, our data suggest that the adjustment of individual contributions after redistribution is not always compatible with the predictions. In particular, subjects who become poor contribute much less than subjects who were poor since the beginning. Copyright Springer-Verlag Berlin Heidelberg 2015
Many scholars argue that environmental issues can be addressed through technological innovation, a proposal which echoes a lasting debate between environmental and ecological economics about the substitution rate between natural and manufactured capital. In addition to these two established types of capital, this paper introduces the idea of ‘behavioral capital’. We define behavioral capital as the latent potential of behavioral change to affect improvement in environmental quality. Our contribution argues that technological and traditional regulatory innovations serve as insufficient tools for addressing modern environmental issues and ensuring sustainable development. Without discarding these solutions, we contend that because human behavior is a significant contributor to environmental problems, it should be regarded as a key component of continued solutions. We suggest that the dual interest theory can serve as an integrative framework for behavioral innovations related to environmental issues. In suggesting this, we assume that behavioral innovations can both overcome some of the limitations of technological innovations and offer new solutions. Our main insight is to suggest that some depletion of natural capital – but not all – can be offset by behavioral changes without decreasing, or even increasing, subjective well-being.
Economists recognize that monetary incentives can backfire through the crowding-out of moral and social motivations leading to an overall decrease of the desired behavior. We implement a field experiment where participants are asked to fill a questionnaire on pro-environmental behaviors under different incentive schemes, either with no monetary incentive (control) or with low or high monetary incentive directed either to the respondents or to an environmental cause. We investigate whether (i) there is a significant crowding-out effect, (ii) directing monetary incentive to the cause rather than to the respondents reduces the overall impact of a crowding-out effect, and (iii) offering the choice regarding the money recipient a ects participation. Except for a high monetary incentive where the respondent chooses himself the end-recipient, we show that monetary rewards directed either at the individual or at the cause actually harms intrinsic motivations, but not to the same extent. We formalize our results building on an adaptation of an original model by Bolle and Otto (2010) and introduce agents heterogeneity in terms of intrinsic motivation. This heterogeneity has key implications for the understanding of the crowding-out e ect. Several policy recommendations regarding the use of market-based instruments are drawn. (This abstract was borrowed from another version of this item.)
Two countries strategically invest in productive infrastructure within a general equilibrium model with endogenous growth. These public investments generate externalities. Dynamic analysis reveals that: (1) under constant returns, the two countries growth rates differ during the transition but are identical on the balanced growth path, (2) a country with decreasing returns can experience sustained growth provided that the other country grows at a positive constant rate, (3) cooperation does not necessarily lead to higher growth for each country, and it can increase or decrease the gap between countries growth rates depending on the countries consumption preferences regarding domestic and foreign goods.