Records |
Author |
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 |
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Conference Article |
Year |
2014 |
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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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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
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no |
Call Number |
MA @ admin @ |
Serial |
5066 |
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Author |
Shrestha, S.; Ahmadi, B.V.; Thomson, S.A.; Barnes, A. |
Title |
Scottish beef and sheep farms – will they be affected under greening of the CAP |
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Conference Article |
Year |
2013 |
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LiveM |
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133rd EAAE seminar Developing Integrated and Reliable Modeling Tools for Agricultural and Environmental Policy Analysis, Crete, Greece, 2013-06-15 to 2013-06-16 |
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no |
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MA @ admin @ |
Serial |
2833 |
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Author |
Ahmadi, B.V.; Thomson, S.; Shrestha, S.; Stott, A.W. |
Title |
Predicting the implications of CAP reform using a bio-economic modelling approach |
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Conference Article |
Year |
2013 |
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LiveM |
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133rd EAAE seminar Developing Integrated and Reliable Modeling Tools for Agricultural and Environmental Policy Analysis, Crete, Greece, 2013-06-15 to 2013-06-16 |
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no |
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MA @ admin @ |
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2274 |
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Author |
Shrestha, S.; Ciaian, P.; Himics, M.; van Doorslaer, B. |
Title |
Impacts of climate change on EU agriculture |
Type |
Journal Article |
Year |
2013 |
Publication |
Review of Agricultural and Applied Economics |
Abbreviated Journal |
Review of Agricultural and Applied Economics |
Volume |
16 |
Issue |
2 |
Pages |
24-39 |
Keywords |
climate change; agricultural productivity; adaptation; Europe |
Abstract |
The current paper investigates the medium term economic impact of climate changes on the EU agriculture. The yield change data under climate change scenarios are taken from the BIOMA (Biophysical Models Application) simulation environment. We employ CAPRI modelling framework to identify the EU aggregate economic effects as well as regional impacts. We take into account supply and market price adjustments of the EU agricultural sector as well as technical adaptation of crops to climate change. Overall results indicate an increase in yields and production level in the EU agricultural sector due to the climate change. In general, there are relatively small effects at the EU aggregate. For example, the value of land use and welfare change by approximately between -2% and 0.2%. However, there is a stronger impact at regional level with some stronger effects prevailing particularly in the Central and Northern EU and smaller impacts are observed in Southern Europe. Regional impacts of climate change vary by a factor higher up to 10 relative to the aggregate EU impacts. The price adjustments reduce the response of agricultural sector to climate change in particular with respect to production and income changes. The technical adaption of crops to climate change may result in a change production and land use by a factor between 1.4 and 6 relative to no-adaptation situation. |
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English |
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TradeM, ftnotmacsur |
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no |
Call Number |
MA @ admin @ |
Serial |
4615 |
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