The Clean Development Mechanism (CDM) suffers from a price level for certificates that went down to almost zero in a period less than a year. Additionally, no short-term price recovery is expected which could incentivise new projects. A risk is that market participants leave the market and the valuable CDM knowledge base on GHG mitigation and quantification will be lost. The CDM Market Support Study analyses the actual price vulnerability of projects and identifies various financing and project type opportunities for project developers and for (institutional public) investors who intent to support the CDM project continuation and the further development of the CDM framework. The study also shows how the current regulatory framework of the CDM can be maintained by transferring it to future mechanisms. This could be a chance to develop the CDM from a pure market-based instrument towards an integrated part within future market-based and also policy-based instruments. The CDM can provide useful components to currently discussed or tested instruments such as the NMM (New Market Mechanism), the FVA (Framework for Varios Approaches), NAMAs (Nationally Appropriate Mitigation Actions) or results-based financing approaches. The study was financed by the German KfW-managed PoA Support Centre . The aim of the PoA-Support-Centre Germany is to support the development of Programmes of Activities (PoAs) under CDM and JI (Joint Implementation) worldwide.
Dairy farming across Germany displays diverse production systems. Factor endowment, management, technology adoption as well as competitive dynamics in the local or regional land, agribusiness and dairy processing sectors contribute to this differentiation on farm level. These differences impact on the ability of dairy farms and regional dairy production systems to successfully respond to pressures arising from future market and policy changes. The overall objective of the research activities of which this project is a part of, is to develop a thorough understanding of the processes that govern the spatial dynamics of dairy farm development in different regions in Germany. The central hypothesis of this research project is that management system and technological choices differ systematically across local production and market conditions. The empirical approach will focus on the estimation of farm specific nonparametric cost functions for dairy farms located in across Germany differentiated by time and location. A spatially differentiated data base with information on input use, resource availability, as well as local market conditions for land and output markets will be compiled. The nonparametric approach is specifically suited to disclose a more accurate representation of dairy production system heterogeneity across locations and time compared to parametric concepts as it provides the necessary flexibility to accommodate non-linearities relevant for a wide domain of explanatory variables. The methodology employed goes beyond the state of the art of the literature as it combines kernel density estimation with a Bayesian sampling approach to provide theory consistent parameters for each farm in the data sample.The specific methodological hypothesis is that the nonparametric approach is superior to current parametric techniques and this hypothesis is tested using statistical model evaluation. Regarding the farm management and technological choices, we hypothesize that land suitability for feed production determines the farm intensity of dairy production and thus management and technological choices. With respect to the ability of farms to successfully respond to market pressures we hypothesize that farms at the upper and lower tail of the intensity distribution both can generate positive returns from dairy production. These last two hypotheses will be tested using the estimated spatially differentiated farm specific costs and marginal costs.The expected outcomes are of relevance for the agricultural sector and the food supply chain economy as a whole as fundamental market structure changes in the dairy sector are ongoing due to the abolition of the quota regulation in the years 2014/2015. Thus, exact knowledge about differences and development of dairy cost heterogeneity of farms within and between regions are an important factor for the actors involved in the market as well as the political support of this process.
The objective of this study is to present an alternative and more realistic view of the chances of the future uses of renewable energies in the global energy supply. The scenarios in this study are based on the analysis of the development and market penetration of renewable energy technologies in different regions in the last few decades. The scenarios address the question of how fast renewable technologies might be implemented on a worldwide scale and project the costs this would incur. Many factors, such as technology costs and costreduction ratios, investments and varying economic conditions in the worlds regions, available potentials, and characteristics of growth have been incorporated in order to fulfil this task. Off course the scenarios describe two possible developments among other possibilities, but they represent realistic possibilities that give reason for optimism. The results of both scenarios show that - until 2030 - renewable capacities can be extended by a far greater amount and that it is much cheaper than most scientist and people actually think. The scenarios do explicitly not describe a maximum possible development from the technological perspective but show that much can be achieved with even moderate investments. The scenarios do not pay attention to the further development of Hydropower, except for incorporating the extensions that are planned actually. This is not done to express our disbelief in the existence of additional potentials or to ignore Hydropower, but due to the fact that reliable data about sustainable Hydropower potentials were not available. Consequently, the figures in this study show how much can be achieved, even if Hydropower remains on today's levels more or less. Higher investments into single technologies, e.g. Hydropower or Biomass, or in general than assumed in the REO 2030 scenarios will result in higher generating capacities by 2030. On the global scale scenario results for 2030 show a 29 percent renewable supply of the heat and electricity (final energy demand) in the High Variant . According to the Low Variant over 17 percent of the final electricity and heat demand can be covered by renewable energy technologies. Presuming strong political support and a barrier-free market entrance, the dominating stimulus for extending the generation capacities of renewable technologies is the amount of money invested. Within the REO scenarios we assume a growing 'willingness to pay' for clean, secure and sustainable energy supply starting with a low amount in 2010. This willingness to pay gets expressed as a target level for annual investments per inhabitant (capita) that will be reached by the year 2030. The targeted amounts differ for the various regions of the world. In global average 124 € 2006 are spent in 2030 per capita in the 'High Variant'. In the 'Low Variant' the target for 2030 is half that amount (62 € 2006 per capita and year). ...
Ziel der Studie war die Analyse der Inanspruchnahme und der Beurteilung von Beratungsunternehmen durch oekologisch wirtschaftende Landwirte sowie die Erarbeitung von Empfehlungen fuer den Ausbau der landwirtschaftlichen Beratung. Zu diesem Zweck wurden alle oekologisch wirtschaftenden Landwirte in Mecklenburg-Vorpommern schriftlich befragt. Das wichtigste Ergebnis der Studie war, dass die Landwirte einen erheblichen Beratungsbedarf fuer eine verstaerkte Absatzberatung sehen, der durch die Anbieter im Land nicht gedeckt werden kann.
Die im Auftrag der Union zur Förderung von Oel- und Proteinpflanzen e. V. (UFOP) erstellte Studie untersucht die Lage der internationalen Biodiesel-Märkte, welche in den letzten zehn Jahren enorm gewachsen sind. Die Industrie ist mittlerweile zu einem großen Teil mit bestehenden globalen Strukturen des Handels mit Pflanzenöl und Ölsaaten verwoben. Während vor zehn Jahren praktisch kein Biodiesel gehandelt wurde, erreichte das internationale Handelsvolumen im Jahr 2010 ca. 2,25 MT. Die aktuelle Marktsituation, obgleich volatil und abhängig von politischen Entscheidungen, ist deutlich transparenter als noch vor einigen Jahren. Die EU war und wird bis 2020 höchstwahrscheinlich das weltweite Zentrum der Produktion und des Verbrauchs von Biodiesel bleiben. Viele Länder sind dem Beispiel gefolgt, haben nationale Beimischungsziele für Biodiesel eingeführt und somit den inländischen Verbrauch und die Produktion angestoßen. Teilweise sind die entstandenen Produktionen jedoch alleinig für den Export in die EU bestimmt. Diese Handelsströme werden in Zukunft mit großer Wahrscheinlichkeit weiter zunehmen. Die ökonomischen Margen werden unter den bestehenden EU-Politiken, überwiegend Beimischungsverpflichtungen, weiterhin gering bleiben, so dass komparative Kostenvorteile in Zukunft genutzt werden müssen. Dies wird zu einer Zunahme an Produktionskapazitäten an strategisch günstigen Standorten führen, die eine breite Basis an preiswerteren Inputstoffen und Arbeitslöhnen bieten. Eine volle Ausnutzung der derzeit vorhandenen Produktionskapazitäten in der EU bleibt daher unwahrscheinlich. Mögliche zukünftige Investitionen in die Infrastruktur und technische Ausrüstung in Osteuropa, d.h. sowohl EU-Mitgliedstaaten als auch deren Anrainerstaaten, könnten dazu beitragen, die Versorgung mit wettbewerbsfähigen, in Europa angebauten Ölsaaten für die Biodiesel-Herstellung zu steigern.
Mit der Richtlinie 2009/28/EC haben das Europäische Parlament und der Rat die Rahmenbedingungen für ein politisches Regelwerk zur Förderung Erneuerbarer Energien (EE) bis 2020 festgeschrieben. Das Projekt Beyond 2020 konzentriert sich auf die Zeit danach und untersucht mögliche Wege zu einer harmonisierten europäischen Förderpolitik, die die Nutzung von EE-Strom vorantreibt. Ecofys ist Teil des Projektkonsortiums. In dem jüngsten Projektbericht evaluierte Ecofys verschiedene Harmonisierungspfade vor dem Hintergrund bestehender Prozesse der EU-Integration. Als Ergebnis empfiehlt der Bericht die Fortsetzung einer Mischung aus top-down und bottom-up Prozessen, wie sie auch in der Vergangenheit praktiziert worden sind. Dies ermöglicht, die Förderpolitiken und Marktbedingungen in der EU zunehmend konvergieren zu lassen, während zugleich die vielfältigen Unterschiede der Mitgliedsstaaten berücksichtigt werden können.
Over the last three decades, real energy prices have increased relatively to real prices for agricultural products. Consequently, bioenergy as a share in total energy demand has increased worldwide and is expected to further increase. The potential supply of biomass for energy production has an impact on the future energy balance and demand for energy from biomass has an impact on agricultural markets. This interrelationship has often been analyzed based on either energy system models assuming a given biomass supply, or on agricultural sector models assuming a given biomass demand for energy. Alternatively, some studies address these market interdependencies based on general equilibrium models with a very stylized representation of the energy sector.The objective of this subproject is to analyze ex-ante the interdependence between the energy and the agricultural sector in the EU under energy as well as to analyze agricultural policy scenarios based on the combined use of two well-established partial models: the Integrated Markal Efom System (TIMES) PanEU Model, which is a bottom up dynamic energy system model and the European Simulation Model (ESIM), which is a partial equilibrium comparative static agricultural sector model.The work program includes the identification and creation of interfaces and exchange variables for both models, the conceptualization of the regional dimension of bioenergy markets, the further development of both models, as well as scenario development and analysis. Close interrelations exist with subproject 6: the interface with FARMIS allows addressing regional and farm specific effects of energy policy scenarios; and with subproject 8: the inclusion of agriculture in EU climate policy will have effects on the potential of the agricultural sector to supply biomass for energy, which will be taken into account.
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