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This book grasps the opportunity to show the strength of AGMEMOD in terms of baseline analysis at detailed regional and market levels, supported by an experienced team of country-based modellers. This analysis, produced using the AGMEMOD model, will be of interest to researchers working in the field of agricultural policy analysis as well as to policy makers from both the European Commission and its member states’ agriculture ministries.
This report presents the current situation and an outlook for the major Ukrainian agricultural commodity markets until 2030 along with the update of the Ukraine country model in AGMEMOD. AGMEMOD is a system of partial equilibrium, medium-term, dynamic, multi-market and multi-country econometric models that is applied for generating projections for agricultural commodity markets of the EU and neighbour countries. In the current work, the database of the Ukraine country model in AGMEMOD has been updated to 2019-2020, the behavioural functions representing market agents re-estimated, and the beekeeping and bioethanol sectors included. The outlook rests upon a set of information and assumptions that were available and considered most plausible at the time when the analysis was conducted. For the projections, the continuation of current agricultural and trade policies in Ukraine is assumed, as well as coherent external projections that assume steady growth of the economy, declining population, increasing crude oil prices, improvement of crops and livestock production technologies, and moderate positive development of the world market prices for agricultural commodities. The cumulative impact of these macroeconomic developments is captured in the projections of agricultural markets in Ukraine. The outlook results for 2030 show that while the quantity of wheat produced will increase only marginally, maize is expected to become the dominant cereal in Ukrainian agriculture. Adaptation to climate change is the main driving force behind this trend. Domestic soya beans, rapeseed and sunflower seeds production will continue growing, along with the quantities of oilseed oils and meals. Although the further developing domestic poultry sector will drive feed demand, Ukraine will continue to be a net exporter of cereals, oilseed oils and meals. Cattle and swine farming will continue its ongoing structural change that shows the replacement of selfsubsistent producers (rural households) by specialised farms. However, the specialised larger producers will not compensate the loss in animal numbers from the rural households and, therefore, production quantities of beef and pork are likely to slow down in the next decade. Conversely, poultry meat and eggs production are projected to grow. Concentrated in large enterprises, the production of poultry meat is projected to increase by more than 30%, and of eggs by more than 50%, followed by growth in exports. Compared to the latest OECD-FAO agricultural outlook, the AGMEMOD outlook might be considered rather conservative for several Ukrainian sectors. Main reasons behind the differences of the two outlooks are discrepancies in the underlying databases, exogenous variables, and the weight given to the trends of the last decade. In this respect the two outlooks together may provide a span for the possible future developments of the Ukrainian agricultural sector by 2030. As the COVID-19 pandemic has been ongoing since early 2020, this report also analyses its impacts on the Ukrainian agriculture. The analysis demonstrates medium to long term resilience of the Ukrainian agricultural commodities production and export to this crisis. Overall, the current report shows that AGMEMOD provides relevant results and enables a structured discussion about key development trends, changes and causes of changes in production and trade of agri-food commodities. However, to guarantee solid and reliable simulation outcomes also in the future, careful calibrations of model parameters and assumptions, as well as validation of the model's outcomes are required. Therefore, not only the Ukraine country model of AGMEMOD has to be further developed, but also the network of local modelling teams and market experts should be continued to be strengthened.
This volume is a study of present and future Common Agricultural Policy in the European Union. It focuses on the practicality of policy proposals in the face of huge challenges, especially in the context of EU enlargement to the east.
This outlook covers the period from 2020 to 2030 and reflects on current agricultural and trade policies. Projections are based on the latest OECD-FAO Agricultural Outlook updated with the most recent global macroeconomic and market data. According to macroeconomic assumptions, the global economy will rebound in 2021-2022 and level off at an annual average growth of 3% by 2030. The EU economy should recover to its pre-COVID-19 level by 2023. The oil price, after bottoming out at USD 41/bbl in 2020, is due to reach USD 83/bbl in 2030. A moderate appreciation of the euro is expected in the medium term, reaching USD 1.16/EUR by 2030. These assumptions are based on average economic trends, so they presume market developments to be relatively smooth. However, in reality markets tend to be much more volatile. Recent free trade agreements (FTAs) are included if they have already been implemented (with Ukraine, Japan, Vietnam and Canada), while the ones only concluded are not (with Mercosur and the updated FTA with Mexico). Regarding the future relationship between the EU-27 and the UK, there is a purely technical assumption that duty-free/quota-free trading relations will continue. As macroeconomic projections and crop yield expectations are by nature surrounded by uncertainty, a systemic uncertainty analysis has been carried out, which enables us to illustrate possible developments caused by the uncertain conditions in the economy and agricultural markets. This report presents possible price ranges around the expected baseline. In addition, to address the implications of the uncertainties surrounding the post-pandemic recovery, specific scenarios look at alternative COVID-19 recovery pathways. Finally, a scenario about the use of food losses and food waste for insect farming to produce protein meal and oil for aquaculture is analysed and presented in the report.
(This book is a printed edition of the Special Issue "Sustainability Transition Towards a Bio-Based Economy: New Technologies, New Products, New Policies" that was published in Sustainability
This volume includes over 30 chapters, written by experts from around the world. It examines numerous management strategies for dealing with drought and scarcity. These strategies include management approaches for different regions, such as coastal, urban, rural, and agricultural areas. It offers multiple strategies for monitoring, assessing, and forcasting drought through the use of remote sensing and GIS tools. It also presents drought mitigation management strategies, such as groundwater management, rainwater harvesting, conservations practices, and more.