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| Author |
Köchy, M. |
| Title |
FACCE MACSUR Kickoff-Meeting |
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Report |
| Year |
2013 |
Publication |
FACCE MACSUR Reports |
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1 |
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M-H3.1.0 |
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The FACCE MACSUR kickoff meeting took place 15-16 October 2012 in Berlin, Germany. The date for the meeting was moved from July to October to accommodate the participation of most institutions involved in MACSUR in a sufficiently large meeting place. One hundred and forty-five persons participated in the event. The meeting was organized as a workshop to allow for expanded time for interaction among the participants of the 73 involved institutions. The keynote lectures by Tim Benton (Global Food Security and University of Leeds) and Tim Carter (Finnish Environment Institute – SYKE) set the background by describing the need for assessing future impacts on food security and how to deal with the uncertainty associated with data, models, and projections. In parallel sessions participants discussed the organization of the work in the project and in each Theme, common approaches to answering the questions, selection of scenarios, involvement of stakeholders, and how the results will be presented. The results of the four cross-cutting workshops are documented in separate reports (M-H3.3.1 through M-H3.3.4) and serve as the starting point for more detailed planning over the following months.A post-hoc survey filled in by 75 attendees showed that the workshop had answered many organizational issues. But since the project has only started, many more issues must be discussed and clarified in the coming months, the survey showed. Overall, two thirds of the participants were satisfied with the organization oft he workshop. No Label |
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MA @ admin @ |
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2248 |
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| Author |
Bojar, W. |
| Title |
Factsheets of the models |
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Report |
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2013 |
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FACCE MACSUR Reports |
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1 |
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D-T1.1 |
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The exploration of adaptation and mitigation measures in the context of global challenges like climate change, food security and expected demographic boom is an field of research of growing importance. Over the last decades many research groups have been developing economic-trade models to analyse consequences on farm welfare, market supply and trade, some of them also address food security and other global concerns. There are many different ways to tackle these issues and the specific advantages and limitations of alternative modelling strategies are not yet well understood. The objective of the WP1 T1.1 task within TradeM theme of MACSUR is to use the results of a survey on trade and economic models of MACSUR Consortium partners to show which topics are currently addressed in the different models, which methods are used and how well these tools are prepared for an integration with other models like climate, crop and livestock models. This work was co-financed by NCBiR, Contract no. FACCE JPI/04/2012 – P100 PARTNER No Label |
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2261 |
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Irz, X.; Kuosmanen, N. |
| Title |
Explaining growth in demand for dairy products in Finland: an econometric analysis |
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Journal Article |
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2013 |
Publication |
Food Economics |
Abbreviated Journal |
Food Economics |
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9 |
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sup5 |
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47-56 |
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Consumption; food; almost ideal demand system; decomposition; elasticities; milk; demand analysis; farm |
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The dairy sector represents the cornerstone of Finnish agriculture but faces new challenges linked to the decoupling of farm subsidies and abolition of milk production quotas. Because of its increasing exposure to market forces, the sector must anticipate future changes in demand and deliver precisely what Finnish consumers want. This paper contributes to that goal by analyzing retroactively the drivers of demand for dairy products over the period 1975–2010 using National Accounts Data. After presenting the evolution of consumption for dairy products, we estimate a complete system of demand for food and dairy products and use it to decompose demand growth into a substitution effect, income effect, and trend effect. The analysis points to the severity of the challenges that the sector is facing. Stagnant consumption is at least partially the result of continuous but adverse taste changes, and as Finnish consumers grow more prosperous, they allocate an increasingly smaller share of their food budget to the dairy group. The low own-price elasticity of demand for dairy products also limits the benefits to the sector of growth in milk production. Hence, business-as-usual will result in the dwindling importance of the dairy sector in the Finnish food chain. Innovation and product differentiation, perhaps emphasizing the attributes of livestock production processes, are clearly required to counter this evolution. |
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2164-828x |
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TradeM, ftnotmacsur |
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no |
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MA @ admin @ |
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4491 |
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Shrestha, S.; Ciaian, P.; Himics, M.; van Doorslaer, B. |
| Title |
Impacts of climate change on EU agriculture |
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Journal Article |
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2013 |
Publication |
Review of Agricultural and Applied Economics |
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Review of Agricultural and Applied Economics |
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16 |
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2 |
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24-39 |
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climate change; agricultural productivity; adaptation; Europe |
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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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TradeM, ftnotmacsur |
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no |
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MA @ admin @ |
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4615 |
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Lorite, I.J.; García-Vila, M.; Santos, C.; Ruiz-Ramos, M.; Fereres, E. |
| Title |
AquaData and AquaGIS: Two computer utilities for temporal and spatial simulations of water-limited yield with AquaCrop |
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Journal Article |
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2013 |
Publication |
Computers and Electronics in Agriculture |
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Computers and Electronics in Agriculture |
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96 |
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227-237 |
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software tool; aquacrop; crop simulation model; geographic information system; spatial aggregation; fao crop model; irrigation management; iberian peninsula; southern spain; climate models; impacts; program; europe; system |
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The crop simulation model AquaCrop, recently developed by FAO can be used for a wide range of purposes. However, in its present form, its use over large areas or for applications that require a large number of simulations runs (e.g., long-term analysis), is not practical without developing software to facilitate such applications. Two tools for managing the inputs and outputs of AquaCrop, named AquaData and AquaGIS, have been developed for this purpose and are presented here. Both software utilities have been programmed in Delphi v. 5 and in addition, AquaGIS requires the Geographic Information System (GIS) programming tool MapObjects. These utilities allow the efficient management of input and output files, along with a GIS module to develop spatial analysis and effect spatial visualization of the results, facilitating knowledge dissemination. A sample of application of the utilities is given here, as an AquaCrop simulation analysis of impact of climate change on wheat yield in Southern Spain, which requires extensive input data preparation and output processing. The use of AquaCrop without the two utilities would have required approximately 1000 h of work, while the utilization of AquaData and AquaGIS reduced that time by more than 99%. Furthermore, the use of GIS, made it possible to perform a spatial analysis of the results, thus providing a new option to extend the use of the AquaCrop model to scales requiring spatial and temporal analyses. (C) 2013 Elsevier B.V. All rights reserved. |
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0168-1699 |
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CropM |
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MA @ admin @ |
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4609 |
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