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Author (up) Ahmadi, B.V.; Shrestha, S.; Thomson, S.G.; Barnes, A.P.; Stott, A.W.
Title Health, welfare and profitability in Scottish sheep farms: assessing the impacts of CAP 2015 reforms Type Conference Article
Year 2014 Publication Abbreviated Journal
Volume Issue Pages
Keywords TradeM
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Area Expedition Conference 88th Annual Conference, Paris, France, 2014-04-09 to 2014-04-11
Notes Approved no
Call Number MA @ admin @ Serial 2275
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Author (up) Ahmadi, B.V.; Thomson, S.; Shrestha, S.; Stott, A.W.
Title Predicting the implications of CAP reform using a bio-economic modelling approach Type Conference Article
Year 2013 Publication Abbreviated Journal
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Keywords LiveM
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Area Expedition Conference 133rd EAAE seminar Developing Integrated and Reliable Modeling Tools for Agricultural and Environmental Policy Analysis, Crete, Greece, 2013-06-15 to 2013-06-16
Notes Approved no
Call Number MA @ admin @ Serial 2274
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Author (up) Barnes, A.; Shrestha, S.; Thomson, S.; Toma, L.; Mathews, K.; Sutherland, L.A.
Title Comparing visions for CAP reforms post 2015: Farmer intentions and farm bio-economic modelling Type Conference Article
Year 2014 Publication Abbreviated Journal
Volume Issue Pages
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Abstract This paper illustrates the impacts of two of the potential CAP reform post 2015 scenarios using an optimising farm level model and compares results with farmers’ perception about the policy changes, captured in a farmer intentions survey. The model results suggest that beef farms suffer a loss in farm net margins under fully decoupled (up to -21%) as well as under partially decoupled scenario (up to -19%) compared to current historical single farm payments. The model also shows that farm respond by reducing the number of beef animals on farm by up to 5%. However, under a partial decoupled scenario, beef farms increase calf numbers by 15% to benefit from coupled calf payment. A survey of 1,400 beef producers with respect to their intentions toward 2020 was conducted in the Summer of 2013. A set of hypothetical payment scenarios was used to test self-reported response to a number of scenarios related to expanding and extensifying. These were compared with the modelling results and found a range of responses which could, we argue, be used for future calibration and ‘sense-checking’ of results within future modelling strategies.
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Series Editor Series Title Abbreviated Series Title FACCE MACSUR Mid-term Scientific Conference
Series Volume 3(S) Sassari, Italy Series Issue Edition
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Area Expedition Conference FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy
Notes Approved no
Call Number MA @ admin @ Serial 5066
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Author (up) Barnes, A.; Shrestha, S.; Thomson, S.; Toma, L.; Mathews, K.; Sutherland, L.A.
Title Comparing visions for CAP reforms post 2015: Farmer intentions and farm bio-economic modelling Type Report
Year 2014 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 3 Issue Pages Sp3-2
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Abstract This paper illustrates the impacts of two of the potential CAP reform post 2015 scenarios using an optimising farm level model and compares results with farmers’ perception about the policy changes, captured in a farmer intentions survey. The model results suggest that beef farms suffer a loss in farm net margins under fully decoupled (up to -21%) as well as under partially decoupled scenario (up to -19%) compared to current historical single farm payments. The model also shows that farm respond by reducing the number of beef animals on farm by up to 5%. However, under a partial decoupled scenario, beef farms increase calf numbers by 15% to benefit from coupled calf payment. A survey of 1,400 beef producers with respect to their intentions toward 2020 was conducted in the Summer of 2013. A set of hypothetical payment scenarios was used to test self-reported response to a number of scenarios related to expanding and extensifying. These were compared with the modelling results and found a range of responses which could, we argue, be used for future calibration and ‘sense-checking’ of results within future modelling strategies. No Label
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Notes Approved no
Call Number MA @ admin @ Serial 2219
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Author (up) Eory, V.; MacLeod, M.; Shrestha, S.; Roberts, D.
Title Linking an economic and a life-cycle analysis biophysical model to support agricultural greenhouse gas mitigation policy Type Journal Article
Year 2014 Publication German Journal of Agricultural Economics Abbreviated Journal German Journal of Agricultural Economics
Volume 63 Issue Pages 133-142
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Abstract Greenhouse gas (GHG) mitigation is one of the main challenges facing agriculture, exacerbated by the increasing demand for food, in particular for livestock products. Production expansion needs to be accompanied by reductions in the GHG emission intensity of agricultural products, if significant increases in emissions are to be avoided. Suggested farm management changes often have systemic effects on farm, therefore their investigation requires a whole farm approach. At the same time, changes in GHG emissions arising offfarm in food supply chains (pre- or post-farm) can also occur as a consequence of these management changes. A modelling framework that quantifies the whole-farm, life-cycle effects of GHG mitigation measures on emissions and farm finances has been developed. It is demonstrated via a case study of sexed semen on Scottish dairy farms. The results show that using sexed semen on dairy farms might be a costeffective way to reduce emissions from cattle production by increasing the amount of lower emission intensity ‘dairy beef’ produced. It is concluded that a modelling framework combining a GHG life cycle analysis model and an economic model is a useful tool to help designing targeted agri-environmental policies at regional and national levels. It has the flexibility to model a wide variety of farm types, locations and management changes, and the LCA-approach adopted helps to ensure that GHG emission leakage does not occur in the supply chain.
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Language English Summary Language Original Title
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Area Expedition Conference
Notes TradeM Approved no
Call Number MA @ admin @ Serial 4670
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