Deviant behaviour on various levels of the food supply chain may cause food risks. It entails irregular technological procedures which cause (increased probabilities of) adverse outcomes for buyers and consumers. Besides technological hazards and hitherto unknown health threats, moral hazard and malpractice in food businesses represent an additional source of risk which can be termed 'behavioural food risk'. From a regulatory perspective, adverse outcomes associated with deviance represent negative externalities that are caused by the breaking of rules designed to prevent them. From a rational choice perspective, the probability of malpractice increases with the benefits for its authors. It decreases with the probability of detection and resulting losses. It also decreases with bonds to social norms that protect producers from yielding to economic temptations. The design of mechanisms that reduce behavioural risks and prevent malpractice requires an understanding of why food businesses obey or do not obey the rules. This project aims to contribute to a better understanding of malpractice on the restaurant/retail level through comparative case studies and statistical analyses of food inspection and survey data. Accounting for the complexity of economic behaviour, we will not only look at economic incentives but consider all relevant behavioural determinants, including social context factors.
Especially during the last decades, the natural forests of Ethiopia have been heavily disturbed by human activities. Some forests have been totally cleared and converted into fields for agricultural use, other suffered from different influences, such as heavy grazing and selective logging. The ongoing research in the Shashemane-Munessa-study area (Gu 406/8-1,2) showed clearly that, in spite of interdiction and control, forests continue to be cleared and degraded. However, it is not yet sufficiently known, how and why these processes are still going on. Growing population pressure and economic constraints for the people living in and around the forests contribute to the actual situation but allow no final answers to the complex situation. Concerning a sustainable management of the forests there is to no solid basis for recommendations from the socioeconomic and socio-cultural view. Therefore, a comprehensive analysis of the traditional needs and forms of forest use, including all forest products, is necessary. The objective of this project is, to achieve this basis by carrying out intensive field observations, the consultation of aerial photographs, satellite imagery and above all semi-structured interviews with the population in the study area in order to contribute to the recommendations for a sustainable use of the Munessa Shasemane forests.
This project aims at analysing the influence of competing national and international bureaucracies on the fragmentation of the international forest regime complex (IFRC). Its objectives are: - describing the political dimension of fragmentation of the IFRC programme- explaining the political dimension of fragmentation based on the model of bureaucratic politics- analysing the steering consequences resulting from fragmentation - trans-disciplinary design of solutions for coping with political aspects of fragmentationBuilding on the bureaucratic politics approach these objectives will be pursued by testing the linking hypothesis: Interest and influence of the bureaucracies cause a fragmented programme of the IFRC. This programme supports the goal of profitable timber production but keeps the decision about biodiversity and CO2 sequestration open hindering the effective steering by the IFRC. The project develops an analytical framework consisting of the following independent variables: competing national and competing international bureaucracies, elected politicians, national and international non-state actors and media discourses. The fragmentation of the political programme of the IFRC is the overall dependent variable. This project will analyse the influence of bureaucracies and their coalitions on fragmentation at the international level as well as in national case studies in Sweden, Poland and Germany. The other independent variables will be covered by sub-projects 2, 3 and 4. The findings will be linked to the other political and to the economic and technic-ecological sub projects in order to contribute to the multi-disciplinary description and explanation of fragmentation and its steering consequences.
Research in 'silviculture' and 'forest economics' very often takes place largely independent from each other. While silviculture predominantly focuses on ecological aspects, forest eco-nomics is sometimes very theoretic. The applied bioeconomic models often lack biological realism. Investigating mixed forests this proposal tries to improve bioeconomic modelling and optimisation under uncertainty. The hypothesis is tested whether or not bioeconomic model-ling of interacting tree species and risk integration would implicitly lead to close-to-nature forestry. In a first part, economic consequences of interdependent tree species mixed at the stand level are modelled. This part is based on published literature, an improved model of timber quality and existing data on salvage harvests. A model of survival over age is then to be developed for mixed stands. A second section then builds upon data generated in part one and concentrates on the simultaneous optimisation of species proportions and harvest-ing ages. It starts with a mean-variance optimisation as a reference solution. The obtained results are compared with data from alternative approaches as stochastic dominance, down-side risk and information-gap robustness.
The rational calculus of farmers assumed in many agricultural economic models is unrealistic and non-predictive of their actual decision making. Understanding structural change in agriculture can thus be improved via a realistic modeling of the decision making by agricultural entrepreneurs. Specifically, slow disinvestment (i.e., postponing farm exit), persistence of market structures (i.e., failure to reallocate land plots towards higher efficiency), and more generally characterizing the decision making of farmers are crucial for a better understanding of structural change and policy advice. We apply economic experiments to better understand such disinvestment choices, land markets with economies of scale and private opportunity costs, different auction and bargaining forms to improve allocation efficiency of land markets, and to generally characterize the decision making of farmers.
Changes in European agricultural landscapes have gained on intensification in the second half of the last century. Among others, they are driven by global change phenomena such as climate change, demographic change and migration, increasing global bio-energy demands and changing human diets as well as by trade liberalisation, technological progress, and leakage effects of land use policy interventions. Farmers usually respond to such changes by adapting production and land use systems to efficiently utilize and manage their farm resource endowments. However, this process often leads to adverse impacts on the diversity of agricultural landscapes and environmental qualities. EU policies have been formulated as a reaction to singular or sectoral problems (e.g. the Common Agricultural Policy, the Water Framework Directive, the Nitrates Directive, NATURA2000), which are usually differently implemented among member states by using a variety of legislative or incentive based instruments. Consequently, more coordination among policies is required to minimize the trade-offs between different land use policy targets (i.e. land conservation versus boosting biomass production), and between private (adaptive) and societal (mitigative) land use benefits. Mitigation and adaptation are often separately analysed due to the nature of the problem i.e. mitigation is often considered as public good versus adaptation as private or club good. However, it is necessary to consider both in assessing the mutual benefits of cost-effective land uses and farm mitigation and adaptation measures, which mainly depend on spatial heterogeneity of natural and farming conditions. Consequently, it is important to consider bio-physical, ecological, and economic relationships in assessing the mitigative (public) and adaptive (private) potentials and trade-offs of alternative land uses and farm management measures.In this project we implement a data-model-policy fusion concept, which shall guarantee cost-effective mitigation and adaptation of farms and sustainable landscape and biodiversity developments in the context of climate, market, and policy instrument changes. The concept is applied to two case-study landscapes in the Mostviertel region in Austria and contains an integrated spatially explicit modelling framework to simulate the land use changes at field, farm, and landscape level as well as cost-effective farm mitigation and adaptation portfolios. The land use changes are assessed with farm economic, biodiversity, abiotic, and landscape indicators including GIS-modelling and field observations. Biodiversity effects are central in the integrated assessment acknowledging the roles of landscape structure and land use intensity. Geo-referenced land uses and land use attributes are a major interface in the data-model-policy fusion concept. The results will help farmers and regional stakeholders to identify best management practices for climate change mitigation and adaptation i
In plant molecular farming (PMF) plants are genetically modified for the production of single substances, mostly biopharmaceuticals but also other substances of industrial interests such as food supplements, food and feed additives, diagnostics, fine chemicals. PMF offers production of pharmaceuticals that would be needed in high-volumes at lower costs than presently used production systems applying mammalian cell lines and microbial fermentation. The fact that economic benefits would be greatest if using food crops in the open field cultivation has sparked a fierce debate in the USA and Canada. In recent years a considerable increase in R & D activities and interest in this technology could be observed in the EU. The study will review technical, policy and socio-economic aspects of PMF. It will identify the companies active and the products in the pipeline, drivers of and possible obstacles to plant molecular farming will be investigated. The scope of the study is not limited to but focussing on R & D and policy activities in the USA, Canada and the EU.
Objective: The RAMSES project will develop a rigorous, analytical framework for the implementation of adaptation strategies and measures in EU and international cities. It will develop a set of innovative methods and tools that will quantify the impacts of climate change and the costs and benefits of adaptation to climate change and thus provide the evidence to enable policy makers to design adaptation strategies. It integrates the assessment of impacts and costs to provide a much more coherent approach than currently exists. As major centres of population, economic importance, greenhouse gas emissions and infrastructure, RAMSES focuses on adaptation issues in cities. RAMSES will deliver: 1. A strategic frame for evidence-based adaptation decision-making. A pragmatic and standardised framework for decision making using comparable climate change impact assumptions, impact and adaptation costs while taking account of uncertainty. This will apply and combine smart and unconventional scientific methodologies. 2. Multi-level analysis as local administrative units, cities will be used to develop adaptation (and more generally sustainable development) strategies from the bottom-up/top-down, that can be aggregated to consider costs at the national, EU and international levels. 3. Quantification of adaptation costs a framework for assessment of full economic costs and benefits of adaptation (to date a woefully under-researched area). 4. Policy relevance and acceptance of adaptation measures city case studies and stakeholder engagement will ensure the relevance of the framework for policy makers and ensure adaptation measures become better accepted by other stakeholders. The frameworks will be converted into a user-friendly guide for stakeholders who need to prioritize adaptation and mitigation decisions. This reduces costs and enhances understanding and acceptance of adaptation. The data will be fed into the European Clearinghouse Mechanism to increase transparency/stakeholder access.
Objective: To achieve the tasks of Research Domain 1.10, the proposed project STEPS has the following overall objective:to develop, compare and assess possible scenarios for the transport system and energy supply of the future taking into account the state of the art of relevant research within and outside of the 6th RTD Framework and such criteria as the autonomy and security of energy supply, effects on the environment and economic, technical and industrial viability including the impact of potential cost internalisation and the interactions between transport and land use.To achieve this overall objective, STEPS has chosen a two-way approach. As the task description mentions research and assessment, modelling and forecasting activities on the one hand and co-ordination, comparison and dissemination activities on the other, the consortium has come up with a work plan consisting of two main activity 'lines': A Co-ordination activities (clustering meetings, dissemination, publications etc.); B Supporting research activities (scenario development, evaluation and assessment). These two lines of activities are closely related and constantly influencing each other. In all phases of the project,the interlinking of the two 'paths' will ensure a fruitful cross-fertilisation. Moreover, the chosen approach offers an added value to a project plan strictly confined to one of the two activities (research and co-ordination/dissemination).To achieve the project's goals, a well-balanced consortium of renowned research institutes, experienced in the fields of scenario-building and modelling, transport research and energy has been composed. Together with external experts, representatives of governments and other relevant authorities, market parties and transport and energy organisations, this consortium will make the possible consequences on the transport systems and energy supply of the future of the implementation of transport innovations, or the lack thereof, clear'.
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