68 resultados para best interests


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This paper analyses the role of think tanks in Swiss policy making. Starting from the relationship between interest groups and the state, which has been shaping Swiss policy making for a long time, we hypothesize that these structures offer good possibilities for scientific arguments and ideas to influence the process of policy making. Our observations from a recent example indeed illustrates that think tanks can use the same channels as vested interests to bring in their know-how. Furthermore, we conclude that the characteristics of the political system, e.g. direct democracy and the consensual alignment particularly influence the chances of think tanks to intervene. In this exchange vested interests and think tanks do not really interfere with each other, but rather they complement each other both having.

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Swiss National Research Programs (NRPs) are usually geared to addressing issues of major societal concern. In so doing these programs produce different kinds of knowledge: analytical knowledge necessary for revealing the driving forces, conflicting interests and institutional settings that govern the processes under scrutiny; target knowledge oriented towards revealing the directions in which the processes should be guided; and action knowledge that informs about the means by which this can best be achieved. Analytical knowledge answers the questions “what is the problem?” and “what causes it?” while target knowledge helps to define “what is our vision for the future?” and action knowledge deals with “how can we solve the problem?” Production of these 3 different types of knowledge is usually linked in an iterative process in the course of the research supported in an NRP.

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Most desertification research focuses on degradation assessments without putting sufficient emphasis on prevention and mitigation strategies, although the concept of Sustainable Land Management (SLM) is increasingly being acknowledged. A variety of already applied conservation measures exist at the local level, but they are not adequately recognised, evaluated and shared, either by land users, technicians, researchers, or policy makers. Likewise, collaboration between research and implementation is often insufficient. The aim of this paper is to present a new methodology for a participatory process of appraising and selecting desertification mitigation strategies, and to present first experiences from its application in the EU-funded DESIRE project. The methodology combines a collective learning and decision approach with the use of evaluated global best practices. In three parts, it moves through a concise process, starting with identifying land degradation and locally applied solutions in a stakeholder workshop, leading to assessing local solutions with a standardised evaluation tool, and ending with jointly selecting promising strategies for implementation with the help of a decision support tool. The methodology is currently being applied in 16 study sites. Preliminary analysis from the application of the first part of the methodology shows that the initial stakeholder workshop results in a good basis for stakeholder cooperation, and in promising land conservation practices for further assessment. Study site research teams appreciated the valuable results, as burning issues and promising options emerged from joint reflection. The methodology is suitable to initiate mutual learning among different stakeholder groups and to integrate local and scientific knowledge.

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Gauging the maximum willingness to pay (WTP) of a product accurately is a critical success factor that determines not only market performance but also financial results. A number of approaches have therefore been developed to accurately estimate consumers’ willingness to pay. Here, four commonly used measurement approaches are compared using real purchase data as a benchmark. The relative strengths of each method are analyzed on the basis of statistical criteria and, more importantly, on their potential to predict managerially relevant criteria such as optimal price, quantity and profit. The results show a slight advantage of incentive-aligned approaches though the market settings need to be considered to choose the best-fitting procedure.