Assessing the Impacts of Single Farm Payments on Farm Investment and Output in French Arable Farms: a Dynamic Stochastic Farm Household Model with Debt Constraints

The Common Agricultural Policy has radically been reformed in 2003 with the introduction of “decoupled” direct payments. Economic theory suggests that direct payments are expected to have no impact on production in a static deterministic environment with perfect markets for capital and labour. But if factor market imperfections or uncertainty are taken into account, this is no longer true. Taking into account these potential impacts, the empirical literature has studied the impacts of farm payments. However, most studies are based on assumptions such as perfect markets, risk neutrality or static environment. Recent researches have also often neglected the role of debt constraints. The paper develops and numerically solves a dynamic stochastic farm household model with occasionally binding debt constraints and investment adjustment costs. The impacts of direct and counter-cyclical payments are explored and compared to an increase in the intervention price. Results show that both types of payments will positively impact on investment, but the impacts on output will not be as significant as it is with an increase in intervention price. Further, the degree of decoupling of Single Farm Payments in the French crops sector is found to be significantly linked to the degree of capital market imperfections.Single Farm Payment, farm investment, dynamic stochastic farm household model, debt constraints., Agricultural and Food Policy, Q12, Q18,

A Monte Carlo filtering application for systematic sensitivity analysis of computable general equilibrium results

The views expressed are purely those of the authors and may not in any circumstances be regarded as stating an official position of the European Commission or the University of Aberdeen. The authors would like to thank Maria Espinosa, Sergio Gomez y Paloma, three reviewers and the editor for valuable comments, and Javier Alba (and the IPTS-IT department) for technical assistance.Peer reviewedPostprin

An Ex-ante Rural/Urban Analysis of Common Agricultural Policy Options

Agricultural and Food Policy,

Influence of body mass index on the choice of therapy for depression and follow-up care

Overweight and obese patients commonly suffer from depression and choice of depression therapy may alter weight. We conducted a cohort study to investigate whether obesity is associated with treatment choices for depression; and whether obesity is associated with appropriate duration of depression treatment and receipt of follow-up visits. Adults with a diagnosis of depression between January 1, 2006 and March 31, 2010 who had 1+ new episodes of an antidepressant medication and/or psychotherapy were eligible. Medication use, encounters, diagnoses, height, and weight were collected from health plan databases. We modeled receipt of the different therapies (medication and psychotherapy) by BMI and BMI trajectory during the 9-months prior to initiation of therapy using logistic regression models that accommodated correlation within provider and adjusted for covariates. We modeled BMI via a restricted cubic spline. Fluoxetine was the reference treatment option in the medication models. Lower BMI was associated with greater use of mirtazapine, and a declining BMI prior to treatment was associated with greater odds of initiating mirtazapine and paroxetine. Higher BMI was associated with greater odds of initiating bupropion even after adjustment for smoking status. Obese patients were less likely to receive psychotherapy and less likely to receive appropriate duration (180-days) of depression treatment compared to normal weight subjects. Our study provides evidence that BMI is considered when choosing therapy but associations were weak. Our results should prompt discussion about recommending and choosing depression treatment plans that optimize depression care and weight management concurrently. Differences in care and follow-up by BMI warrant additional research

Bypassing Iron Storage in Endodermal Vacuoles Rescues the Iron Mobilization Defect in the Natural Resistance Associated-Macrophage Protein3natural Resistance Associated-Macrophage Protein4 Double Mutant

To improve seed iron (Fe) content and bioavailability, it is crucial to decipher the mechanisms that control Fe storage during seed development. In Arabidopsis (Arabidopsis thaliana) seeds, most Fe is concentrated in insoluble precipitates, with phytate in the vacuoles of cells surrounding the vasculature of the embryo. NATURAL RESISTANCE ASSOCIATED-MACROPHAGE PROTEIN3 (AtNRAMP3) and AtNRAMP4 function redundantly in Fe retrieval from vacuoles during germination. When germinated under Fe-deficient conditions, development of the nramp3nramp4 double mutant is arrested as a consequence of impaired Fe mobilization. To identify novel genes involved in seed Fe homeostasis, we screened an ethyl methanesulfonate-mutagenized population of nramp3nramp4 seedlings for mutations suppressing their phenotypes on low Fe. Here, we report that, among the suppressors, two independent mutations in the VACUOLAR IRON TRANSPORTER1 (AtVIT1) gene caused the suppressor phenotype. The AtVIT1 transporter is involved in Fe influx into vacuoles of endodermal and bundle sheath cells. This result establishes a functional link between Fe loading in vacuoles by AtVIT1 and its remobilization by AtNRAMP3 and AtNRAMP4. Moreover, analysis of subcellular Fe localization indicates that simultaneous disruption of AtVIT1, AtNRAMP3, and AtNRAMP4 limits Fe accumulation in vacuolar globoids

Rural-urban social accounting matrixes for modelling the impact of rural development policies in the EU

This report complements previous work and builds NUTS3 SAMs for twelve regions, following a careful approach, that we call the expert approach. This report investigates the results of this approach by running some simple policy simulations and providing the structural descriptions of these regions. Further, this report aims at producing testing a more automatic approach to the construction of NUTS3 SAMs, to a view of reducing the necessary time and data requirements. Using several examples, this report examines whether such automatic approach can provide reliable SAMs at NUTS3 level. It finally draws conclusions as to the usefulness of both approaches in providing tools for further policy analysis in the field of rural development policy analysisJRC.J.4-Agriculture and Life Sciences in the Econom

LEO Download Capacity Analysis for a Network of Adaptive Array Ground Stations

To lower costs and reduce latency, a network of adaptive array ground stations, distributed across the United States, is considered for the downlink of a polar-orbiting low earth orbiting (LEO) satellite. Assuming the X-band 105 Mbps transmitter of NASA s Earth Observing 1 (EO-1) satellite with a simple line-of-sight propagation model, the average daily download capacity in bits for a network of adaptive array ground stations is compared to that of a single 11 m dish in Poker Flats, Alaska. Each adaptive array ground station is assumed to have multiple steerable antennas, either mechanically steered dishes or phased arrays that are mechanically steered in azimuth and electronically steered in elevation. Phased array technologies that are being developed for this application are the space-fed lens (SFL) and the reflectarray. Optimization of the different boresight directions of the phased arrays within a ground station is shown to significantly increase capacity; for example, this optimization quadruples the capacity for a ground station with eight SFLs. Several networks comprising only two to three ground stations are shown to meet or exceed the capacity of the big dish, Cutting the data rate by half, which saves modem costs and increases the coverage area of each ground station, is shown to increase the average daily capacity of the network for some configurations

Doublecortin expression in CD8+ T-cells and microglia at sites of amyloid-β plaques:A potential role in shaping plaque pathology?

Abstract INTRODUCTION: One characteristic of Alzheimer's disease is the formation of amyloid-β plaques, which are typically linked to neuroinflammation and surrounded by inflammatory cells such as microglia and infiltrating immune cells. METHODS: Here, we describe nonneurogenic doublecortin (DCX) positive cells, DCX being generally used as a marker for young immature neurons, at sites of amyloid-β plaques in various transgenic amyloid mouse models and in human brains with plaque pathology. RESULTS: The plaque-associated DCX+ cells were not of neurogenic identity, instead most of them showed coexpression with markers for microglia (ionized calcium-binding adapter molecule 1) and for phagocytosis (CD68 and TREM2). Another subpopulation of plaque-associated DCX+ cells was negative for ionized calcium-binding adapter molecule 1 but was highly positive for the pan-leukocyte marker CD45. These hematopoietic cells were identified as CD3-and CD8-positive and CD4-negative T-cells. DISCUSSION: Peculiarly, the DCX+/ionized calcium-binding adapter molecule 1+ microglia and DCX+/CD8+ T-cells were closely attached, suggesting that these two cell types are tightly interacting and that this interaction might shape plaque pathology

Developing a systems-based framework of the factors influencing dietary and physical activity behaviours in ethnic minority populations living in Europe - a DEDIPAC study

Background: Some ethnic minority populations have a higher risk of non-communicable diseases than the majority European population. Diet and physical activity behaviours contribute to this risk, shaped by a system of inter-related factors. This study mapped a systems-based framework of the factors influencing dietary and physical activity behaviours in ethnic minority populations living in Europe, to inform research prioritisation and intervention development. Methods: A concept mapping approach guided by systems thinking was used: i. Preparation (protocol and terminology); ii. Generating a list of factors influencing dietary and physical activity behaviours in ethnic minority populations living in Europe from evidence (systematic mapping reviews) and ‘eminence’ (89 participants from 24 academic disciplines via brainstorming, an international symposium and expert review) and; iii. Seeking consensus on structuring, rating and clustering factors, based on how they relate to each other; and iv. Interpreting/utilising the framework for research and interventions. Similar steps were undertaken for frameworks developed for the majority European population. Results: Seven distinct clusters emerged for dietary behaviour (containing 85 factors) and 8 for physical activity behaviours (containing 183 factors). Four clusters were similar across behaviours: Social and cultural environment; Social and material resources; Psychosocial; and Migration context. Similar clusters of factors emerged in the frameworks for diet and physical activity behaviours of the majority European population, except for ‘migration context’. The importance of factors across all clusters was acknowledged, but their relative importance differed for ethnic minority populations compared with the majority population. Conclusions: This systems-based framework integrates evidence from both expert opinion and published literature, to map the factors influencing dietary and physical activity behaviours in ethnic minority groups. Our findings illustrate that innovative research and complex interventions need to be developed that are sensitive to the needs of ethnic minority populations. A systems approach that encompasses the complexity of the inter-related factors that drive behaviours may inform a more holistic public health paradigm to more effectively reach ethnic minorities living in Europe, as well as the majority host population