671 research outputs found

    Economic Performance of Organic Farms in Europe

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    Economic aspects are increasingly determining the acceptance and further expansion of organic farming in Europe. Drawing on data and studies from the 15 EU member states and three non-EU countries (Norway, Switzerland and Czech Republic), this book provides a comprehensive overview of the economic performance of organic farms in Europe. The analysis of yields, costs, prices and support payments offers an insight into the profits of organic farms of various types and in different countries. Specific attention is paid to the impact of the 1992 CAP reform on the profitability of organic farming. This book is aimed at policy makers, the private sector, researchers and students in the field of organic farming

    Cost-Effectiveness Evaluation of Swiss Agri-Environmental Measures on Sector Level

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    Abstract This paper focuses on non-linear programming models and their suitability for ex-ante evaluations of agri-environmental policies on sector level. An approach is presented to compare organic farming payments as a multi-objective policy, with other, more targeted agri-environmental policies in Switzerland. The Swiss version of the comparative static sector-consistent farm group model FARMIS is able to group the sector’s farms into organic and non-organic farms and optimise them separately. CH-FARMIS is expanded with three modules particularly for this study: a) allowing for the simulation of uptake; b) integrating life cycle assessment data for energy use, eutrophication and biodiversity; and c) estimating the policy and farm-group-specific public expenditure, including transaction costs. This paper illustrates the functions of the model, shows preliminary energy use calculations for the German Agricultural Sector and discusses the advantages and limitations of the approach

    Redistributive effects of CAP liberalisation: from the sectoral level to single farm

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    There is a growing public and political interest in effects of agricultural policy on income distribuion in the agricultural sector. Most of the literature regarding redistributive effects of agricultural policy is ex-post and static in nature and many tools for an ex-ante analysis of impacts of sectoral or macroeconomic policies depict farm groups or representative farms rather than individual farms. However, the measurement of inequality is highly sensitive to the aggregation of individual data. In this paper, redistributive effects of an abolishment of different instruments of the European Common Agricultural Policy (CAP) are analysed with a tool that is able to consistently assess impacts of sectoral policy on individual farm incomes. We find that an abolishment of the main components of the CAP, direct payments and market and price policies, results in a more unequal income distribution in relative terms, but a more equal income distribution in absolute terms. Based on the latter, we conclude that if the CAP aims at a more equal income distrbution within the agricultural sector, then significant scope for improving the design of respective policy instruments exists

    A comparison of cognitive restructuring and thought listing for excessive acquiring in hoarding disorder

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    Excessive acquiring is a common symptom of hoarding disorder (HD). Little is known about subjective distress associated with acquiring in HD. The present study examined acquiring- related distress and reactions to cognitive restructuring (CR) in 92 individuals with HD and 66 community control (CC) participants. All participants identified an item of interest at a high-risk acquiring location and then decided whether or not to acquire the item. HD participants completed the acquiring task while receiving a CR-based intervention or a thought-listing (TL) control condition. Results showed that HD participants reported more severe distress and greater urges to acquire the item of interest than did CC participants. Nevertheless, subjective distress decreased in both groups following the acquiring task. There were no differences in acquiring- related distress between the CR and TL conditions. The findings indicate that subjective distress may decrease after relatively short periods of time in individuals with HD, but that a single session of CR may not alleviate acquiring-related distress in HD participants.R01 MH068007 - NIMH NIH HHS; R01 MH068008 - NIMH NIH HHSAccepted manuscrip

    Benefits of Organic Farming for Society

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    Recent food scares have lead to a boom in demand for organic products and an increasing awareness of policy makers of the potential benefits of organic farming. However, policies specifically targeting organic farming support do not remain beyond dispute and a sound justification of these is in great demand. The potential specific contribution of organic farming to the achievement of some of the key objectives of the European Common Agricultural Policy, e.g. competitiveness of agriculture, farming income, food supply, food quality and minimisation of negative environmental impacts of agricultural production are discussed. It is argued that organic farming can contribute to the objectives of the CAP, however, addressing the various objectives to different degrees. The environmental effects of organic farming seem to be largely positive in comparison to conventional farming on a per hectare basis in all categories, be it biodiversity, input-output balances or soil and water resources, although other farming systems might perform better with respect to single indicators or when results are related to the amount of produced output. The quality of organically produced food seems to be higher than that of conventionally produced food for several indicators, for example, the risk of food contamination with pesticides and or nitrate tends to be lower. Income levels from organic farming are on average comparable to income generated on conventional farms, and organic farming is clearly a profitable alternative for quite a few farms in Europe. With respect to rural development organic farming is expected to have little direct effects, e.g. on unemployment rates, although small scale marketing and processing initiatives may contribute directly to rural employment. However, indirect effects such as increased employment in tourism due to a positive “ecological” image of a region can be of importance. Conclusively, organic farming can contribute to several of the declared policy objectives of the CAP. However, the information available to date does not permit a clear conclusion if organic farming achieves desirable effects at lower costs than other farming systems. Nevertheless, the positive effects on a broad range of objectives clearly justifies the support of organic farming and is therefore recommended

    Sub-mesoscale observations of convective cold pools with a dense station network in Hamburg, Germany

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    From June to August 2020, an observational network of 103 meteorological ground-based stations covered the greater area (50 km × 35 km) of Hamburg (Germany) as part of the Field Experiment on Sub-mesoscale Spatio-Temporal variability at Hanseatic city of Hamburg (FESST@HH). The purpose of the experiment was to shed light on the sub-mesoscale (O(100) m–O(10) km) structure of convective cold pools that typically remain under-resolved in operational networks. During the experiment, 82 custom-built, low-cost APOLLO (Autonomous cold POoL LOgger) stations sampled air temperature and pressure with fast-response sensors at 1 s resolution to adequately capture the strong and rapid perturbations associated with propagating cold pool fronts. A secondary network of 21 weather stations with commercial sensors provided additional information on relative humidity, wind speed, and precipitation at 10 s resolution. The realization of the experiment during the COVID-19 pandemic was facilitated by a large number of volunteers who provided measurement sites on their premises and supported station maintenance. This article introduces the novel type of autonomously operating instruments, their measurement characteristics, and the FESST@HH data set (https://doi.org/10.25592/UHHFDM.10172; Kirsch et al., 2021b). A case study demonstrates that the network is capable of mapping the horizontal structure of the temperature signal inside a cold pool, and quantifying a cold pool's size and propagation velocity throughout its life cycle. Beyond its primary purpose, the data set offers new insights into the spatial and temporal characteristics of the nocturnal urban heat island and variations of turbulent temperature fluctuations associated with different urban and natural environments

    A Comparison of Cognitive Restructuring And Thought Listing For Excessive Acquiring In Hoarding Disorder

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    Excessive acquiring is a common symptom of hoarding disorder (HD). Little is known about subjective distress associated with acquiring in HD. The present study examined acquiring-related distress and reactions to cognitive restructuring (CR) in 92 individuals with HD and 66 community control (CC) participants. All participants identified an item of interest at a high-risk acquiring location and then decided whether or not to acquire the item. HD participants completed the acquiring task while receiving a CR-based intervention or a thought-listing (TL) control condition. Results showed that HD participants reported more severe distress and greater urges to acquire the item of interest than did CC participants. Nevertheless, subjective distress decreased in both groups following the acquiring task. There were no differences in acquiring-related distress between the CR and TL conditions. The findings indicate that subjective distress may decrease after relatively short periods of time in individuals with HD, but that a single session of CR may not alleviate acquiring-related distress in HD participants

    Model Order Reduction for Rotating Electrical Machines

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    The simulation of electric rotating machines is both computationally expensive and memory intensive. To overcome these costs, model order reduction techniques can be applied. The focus of this contribution is especially on machines that contain non-symmetric components. These are usually introduced during the mass production process and are modeled by small perturbations in the geometry (e.g., eccentricity) or the material parameters. While model order reduction for symmetric machines is clear and does not need special treatment, the non-symmetric setting adds additional challenges. An adaptive strategy based on proper orthogonal decomposition is developed to overcome these difficulties. Equipped with an a posteriori error estimator the obtained solution is certified. Numerical examples are presented to demonstrate the effectiveness of the proposed method

    Photothermal infrared thermography applied to the identification of thin layer thermophysical properties

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    Abstract: The aim of the present work is the thermal non-destructive characterisation of layers at the surface of metals. The sample is sinusoidally heated by means of an argon ion laser and a focal plane array infrared camera (CEDIP IRC 320-4 LW) is used to measure the temperature variations at the surface of the layer. A numerical lock-in procedure allows the detection of very weak temperature variations at the surface of the sample, down to a few mK when working from the acquisition of hundreds of images, yielding amplitude and absolute phase maps for modulation frequencies ranging from 0.1 Hz to 1000 Hz. An inverse procedure uses the Gauss-Newton parameter estimation method, in order to identify the thermal conductivity and the optical absorption coefficient of the layer. Confidence intervals on the parameters can also be estimated by the inverse procedure. More particular attention is devoted to the study of the sensitivity coefficients, as functions of the frequency range and of the radial range along the profiles, in order to optimise the identification procedure
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