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.
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.
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 majority of the worlds forests has undergone some form of management, such as clear-cut or thinning. This management has direct relevance for global climate: Studies estimate that forest management emissions add a third to those from deforestation, while enhanced productivity in managed forests increases the capacity of the terrestrial biosphere to act as a sink for carbon dioxide emissions. However, uncertainties in the assessment of these fluxes are large. Moreover, forests influence climate also by altering the energy and water balance of the land surface. In many regions of historical deforestation, such biogeophysical effects have substantially counteracted warming due to carbon dioxide emissions. However, the effect of management on biogeophysical effects is largely unknown beyond local case studies. While the effects of climate on forest productivity is well established in forestry models, the effects of forest management on climate is less understood. Closing this feedback cycle is crucial to understand the driving forces behind past climate changes to be able to predict future climate responses and thus the required effort to adapt to it or avert it. To investigate the role of forest management in the climate system I propose to integrate a forest management module into a comprehensive Earth system model. The resulting model will be able to simultaneously address both directions of the interactions between climate and the managed land surface. My proposed work includes model development and implementation for key forest management processes, determining the growth and stock of living biomass, soil carbon cycle, and biophysical land surface properties. With this unique tool I will be able to improve estimates of terrestrial carbon source and sink terms and to assess the susceptibility of past and future climate to combined carbon cycle and biophysical effects of forest management. Furthermore, representing feedbacks between forest management and climate in a global climate model could advance efforts to combat climate change. Changes in forest management are inevitable to adapt to future climate change. In this process, is it possible to identify win-win strategies for which local management changes do not only help adaptation, but at the same time mitigate global warming by presenting favorable effects on climate? The proposed work opens a range of long-term research paths, with the aim of strengthening the climate perspective in the economic considerations of forest management and helping to improve local decisionmaking with respect to adaptation and mitigation.
Research Questions: Does the implementation of climate change mitigation policies in developing countries always involve a trade-off between economic development, poverty reduction, and climate protection, or is there space for 'win-win policies'? This question is relevant for todays fast-growing middle-income economies, which are already or will soon become very significant contributors to global warming. The project will analyse these economies from three different angles: a comparative politics perspective on domestic climate governance and mitigation policy options, an economics perspective on the poverty and distributional impact of mitigation policies, and an international relations perspective on the global discourse surrounding mitigation and economic development (see project in RP 4). The project staff will cooperate closely with domestic partner institutions in South Africa, Mexico and Thailand, the three case study countries. Contribution to International Research: Despite the increasing role of todays developing world in GHG emissions, 'climate and development' research to date has largely focused on developing countries vulnerability and adaptation to climate change, and on climate-related transfers in these countries, such as those of the Joint Implementation and the Clean Development Mechanism (CDM). Meanwhile, the critical issue of mitigation is slowly making its entrance into climate negotiation rooms. This focus on mitigation requires a shift in the analytical perspective. While the technological and natural science perspectives that tend to dominate the climate change discourse are clearly important, a social science perspective is warranted as well. This is particularly true because of the latters usefulness in analysing the possible trade-offs between mitigation and socio-economic development. Research Design and Methods: The project adopts a multidisciplinary social science approach with a comparative and global perspective. While they will remain firmly theoretically and methodologically grounded in their respective disciplines, the three study areas - (1) domestic climate governance, (2) poverty and distributional impacts of mitigation policies, (3) global perspective and the mitigation-development discourse - will interact continuously. The investigation of domestic climate governance will rely mainly on qualitative methods. These will include interviews with policy-makers, experts and practitioners to investigate their motivations and the driving and constraining forces behind their actions in climate change mitigation policy processes. We then plan to assess the poverty and distributional impacts of mitigation policies (possibly including most NAMAs) in the three case study countries using incidence-focused general equilibrium models, simulation models based on micro-data, and a combination of these two modelling approaches. usw.
The provision of public goods (including landscape services) in rural areas is recognized as one of the key topics for the future of agriculture and rural policy. Agriculture plays a major role in landscape management through its complex interlinkages with landscape features. In turn, the Common Agricultural Policy (CAP) remains an important driver of landscape management due to its importance as a determinant of farming activities in the EU. The main objective of the CLAIM project is to provide the knowledge base to support an effective CAP policy design in the direction of improved landscape management, particularly providing insights into the ability of landscape to contribute to the production of added value for society in rural areas. CLAIM is focused in particular on understanding and enhancing the contribution of landscapes management to socio-economic development and agricultural competitiveness in rural areas. This will be based on a pragmatic consideration of landscape services and their analysis through a mixed-method approach, taking into account the wider EU policy strategies (in particular related to innovation and the bioeconomy). The main expected result of the CLAIM project is an evidence-based policy support framework on the different and possible contributions of agriculture and the CAP to landscape management. The framework will be mainly developed and validated through a set of 9 case studies, a strong involvement of stakeholders at different territorial levels and a wide coverage of the perspectives of EU and candidate countries. The framework will finally take the practical form of a web-based manual to be implemented in accordance to stakeholders needs and indications.
Objective: The proposal addresses Topic ENV.2008.1.1.5.1 Addressing deforestation in tropical areas: greenhouse gas emissions, socio-economic drivers and impacts, and policy options for emissions reduction. The overall goal of the project is to contribute to the development and evaluation of mechanisms and the institutions needed at multiple levels for changing stakeholder behaviour to slow tropical deforestation rates and hence reduce GHG emissions. This will be achieved through enhancing our understanding of the social, cultural, economic and ecological drivers of forest transition in selected case study areas in Southeast Asia, Africa and South America. This understanding will facilitate the identification and assessment of viable policy options addressing the drivers of deforestation and their consistency with policy approaches on avoided deforestation, such as Reduced Emissions from Deforestation and degradation (REDD), currently being discussed in UNFCCC and other relevant international fora. At the same time, ways of improving the spatial quantification of land use change and the associated changes in GHG fluxes will be developed, thereby improving the accounting of GHG emissions resulting from land use change in tropical forest margins and peatlands. This will allow the analysis of scenarios of the local impacts of potential international climate change policies on GHG emission reductions, land use, and livelihoods in selected case study areas, the results of which will be used to develop new negotiation support tools for use with stakeholders at international, national and local scales to explore a basket of options for incorporating REDD into post-2012 climate agreements. The project will provide a unique link between international policy-makers and stakeholders on the ground who will be required to change their behaviour regarding deforestation, thereby contributing to well-informed policy-making at the international level.
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