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| Author |
Foskolis, A.; Moorby, J. |
| Title |
Lifetime nitrogen efficiency of dairy cattle: Model description and sensitivity analysis |
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Conference Article |
| Year |
2016 |
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FACCE MACSUR Reports |
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8 |
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SP8-9 |
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Conference poster PDF |
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LiveM2016: International livestock modelling conference – Modelling grassland-livestock systems under climate change |
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Approved |
no |
| Call Number |
MA @ admin @ |
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4842 |
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| Author |
Brouwer, F.; Sinabell, F. |
| Title |
Three years of collaboration in TradeM – Agricultural markets and prices |
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Conference Article |
| Year |
2015 |
Publication |
FACCE MACSUR Reports |
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| Volume |
6 |
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SP6-4 |
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Some farmers may claim that climate change adaptation is easy compared to the difficulties caused by policiesAction based on weather observations only, is insufficient for farmers to respond to climate change. Researchers need support from farmers in understanding the responses in practice.Policies might be too slow to respond to needs for change in agriculture. Winners and losers seem to be observed everywhere.The impacts of climate change is heterogeneous among farm types and regionsEffects beyond 2050 remain largely unclear, mainly because the effects of extreme events are not consideredVariability of yields is important to farm incomes, but most studies only consider average changesFarmers are ready to design their site-specific adaptation response providing that new knowledge and learning spaces are available. A learning process based on integrated models, assessment of short- and long-term effects, is needed for farmers to adapt to climate change, price fluctuations and policy change. No Label |
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Brussels |
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Climate-change impacts on farming systems in the next decades: Why worry when you have CAP? A FACCE MACSUR workshop for policymakers |
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Approved |
no |
| Call Number |
MA @ admin @ |
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2343 |
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| Author |
Ahmadi, V. |
| Title |
Impacts of Common Agricultural Policy 2015 reforms on animal health and welfare of Scottish dairy herds |
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| Year |
2015 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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5 |
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Sp5-1 |
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The latest Common Agricultural Policy (CAP) 2015 reforms bring a substantial change in the way farm support is paid in Scotland where previous direct CAP payments were largely based on historical entitlements. Under the new payment scheme, three rates of payment are designated based on land uses and capabilities. As a result, it is anticipated that, average large dairy farms will lose out up to 32% of their farm net margins, while small dairy farms will lose out between 7-20% of their farm net margins. Such reductions of payment support may force dairy farmers to cut costs of production on farms especially livestock variable costs including labour costs and costs of prevention, control, treatment and management of livestock diseases and welfare conditions. This will have direct and indirect consequences on health and welfare of dairy cattle. This study aims to assess the impact of new support payments under CAP 2015 reforms on financial capabilities of dairy herds in tackling three conditions namely: infertility, mastitis and lameness. A detailed inventory of 42 commercial dairy farms in Scotland that contains both physical (i.e. farm area, nutrition and labour supply, etc.) and health data collected in 2013 and was used to parameterise an optimisation model. The model is a linear programme (LP) model which optimises farm net margin under limiting farm resources. The model also consists of feed demand and supply components that are used to determine monthly feed requirements for each of the animals on a farm as well as grass yield for pasture area of the land. The model is run for both ‘healthy’ and ‘diseased’ herds under previous and future CAP support payments. Details of the model and the dataset used as well as some results will be presented at the conference. No Label |
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MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK |
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no |
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MA @ admin @ |
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2273 |
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| Author |
Angelova, D. |
| Title |
The state-contingent approach to production and choice under uncertainty: usefulness as a basis for economic modeling |
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Report |
| Year |
2014 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
FACCE MACSUR Rep. |
| Volume |
3 |
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Sp3-8 |
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The state-contingent approach developed by Chambers and Quiggin (2000) constitutes an attractive blend of a theory of production analysis under uncertainty and a theory of decision-making under uncertainty.One of the goals of this contribution is to introduce the reader to the approach by outlining its contents while comparing and contrasting it to related theories. With respect to production analysis: an emphasis is made on the ability of the approach to deliver well defined cost functions corresponding to stochastic production technologies. With respect to decision-making under uncertainty: the comparison with other theories consistent with a rational agent emphasizes the production theoretical basis of the state-contingent approach.It is the author’s belief that appropriately categorizing the state-contingent approach serves the primary goal of this work: to explore its usefulness as a basis for economic modeling. Some challenges regarding an empirical implementation are discussed: challenges in estimating the parameters of a state-contingent technology representation in general, as well as challenges arising from the fact that the approach is constructed around the argument pioneered by Leonard J Savage: that probabilities underlying economic decision-making are inherently subjective.(The financial support of ScienceCampus Halle is gratefully acknowledged.) No Label |
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FACCE MACSUR Reports |
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3 |
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no |
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MA @ admin @ |
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2225 |
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| Author |
Zander, P. |
| Title |
Modelling regional agricultural land use and climate change adaptation strategies in 4 case study regions Northern Germany |
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2015 |
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FACCE MACSUR Reports |
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4 |
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SP4-22 |
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TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, 25–27 November 2014, Hurdalsjø, Norway |
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Approved |
no |
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MA @ admin @ |
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2212 |
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