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Global value chains (GVCs) in agriculture and food sectors are becoming an important part of the agro-food trading landscape, influencing both the nature of the gains from trade and the impacts of trade policies. This study explores the changes in trade in value added that are occurring within agro-food GVCs and the implications that participation in agro-food GVCs has had on the agro-food sectors. It makes use of a database on trade in value added for 22 agro-food sectors derived from the Global Trade Analysis Project (GTAP) database. The study finds that between 2004 and 2014, agro-food sectors have been increasing their participation in GVCs and that the links created within these production networks have become more “global” in nature. At the same time, agro-food GVCs have become increasingly centred around hubs in the People’s Republic of China and Germany where large amounts of value added are funnelled before reaching the end consumer. The study also finds that participation in agro-food GVCs is beneficial for sector development and growth – both in aggregate terms and in terms of domestic value added from exports. Of key importance has been the use of foreign value added and access to a wide diversity of imported inputs. However, policies that restrict trade and limit market openness reduce participation and sector growth and development – including policies that create barriers to trade in agro-food products themselves. In addition, the study finds that the use of services value added in exports is an important factor that contributes to sector growth, which highlights the importance of the broader policy environment to enhance the benefits from agro-food GVCs.
Earlier studies in the OECD project on decoupling estimated static models of crop production incorporating risk aversion, following the analytical framework in OECD (2001). In contrast, this paper studies primarily dynamic models of crop investment. The province of Manitoba is selected as an example of Canadian prairie crop production, and investment is defined as current expenditure on machinery and equipment for Manitoba crop production (the data are not crop specific). This is the first econometric study of dynamic crop investment decisions for Canada, and as far as can be ascertained this is the first econometric study for any country of dynamic crop investment under risk aversion. Econometric results are used to simulate impacts of agricultural programmes on crop investment.
In the last few years, the growth in the amount of economic and financial data available has prompted econometricians to develop or adapt new methods enabling them to summarise efficiently the information contained in large databases. Of these methods, dynamic factor models have seen rapid growth and become very popular among macroeconomists. In this paper, we carry out a survey of recent literature on dynamic factor models. We start by presenting the models used before looking at parameter estimation methods and statistical tests available for choosing the number of factors. We then focus on recent empirical applications dealing with the construction of economic outlook indicators, macroeconomic forecasts, and both macroeconomic and monetary policy analyses.
Dynamic scoring – taking full account of all the economic effects of policies when estimating their budgetary effects – is almost self-evidently attractive. But it is formidably difficult to achieve. This paper assesses the key conceptual and practical challenges it poses and considers the pros and cons of adopting it. The objective should be to provide more useful information while being robust to the political debate.
This paper provides detailed farm level data evidence on the dynamics of farm performance from case studies covering crop farms in Australia, France, Italy and the United Kingdom (England and Wales), and dairy farms in the Czech Republic, Denmark and Norway, with different recent sample periods of five to thirty years. An increase in productivity over time is common to all countries and most crop farm classes, but productivity dynamics vary significantly. In Australia, strong productivity growth among the most productive crop farms has led to an increase in the gap between the highest and lowest performing farms; whereas in France, Italy and the United Kingdom, productivity growth was weak among the most productive crop farms and the lowest performing farms closed the productivity gap. Productivity also increased among dairy farms, with an increasing gap between the most and the least productive farm classes in the three sample countries. The impact of policy changes on performance dynamics is analysed for decoupled payments in France and England, and dairy payments in the Czech Republic. The main findings across countries and policy implications are discussed in OECD Food, Agriculture and Fisheries Paper N°164.
Increasing productivity at farm level is a key policy objective across most countries and fundamental to the overall performance of agricultural and food systems. This paper applies dynamic statistical methods to farm level data in order to identify the determinants of farm performance over time, in terms of productivity and measures of local sustainability. The analysis sheds light on the effects of policies on productivity, and the links between productivity and sustainability outcomes. It draws on key findings from seven case studies: crop farms in Australia, France, Italy and the United Kingdom (England and Wales); and dairy farms in the Czech Republic, Denmark and Norway, with different sample periods, from the most recent three decades to the last five years. A key finding is that policy changes increasing the degree of decoupling of payments have a positive impact on productivity. Furthermore, with the right incentives, productivity growth can be more locally sustainable insofar as farms can produce more output with less inputs that harm the environment. The detailed background work on the seven samples of crops and dairy farms in the above countries is available in OECD Food, Agriculture and Fisheries Paper N°165.
Diese Literatursichtung untersucht, was über die Auswirkungen der künstlichen Intelligenz (KI) auf den Arbeitsmarkt bereits bekannt ist. Dabei geht es insbesondere um die Auswirkungen auf Beschäftigung und Löhne, auf Tätigkeitsprofile und Kompetenzanforderungen sowie auf das Arbeitsumfeld. Ziel dieser Bestandsaufnahme ist es, Lücken in der Evidenzbasis aufzuzeigen und künftige Forschungsarbeiten der OECD zu KI und den damit verbundenen Arbeitsmarkteffekten zu unterstützen.
Este artículo examina oportunidades para mitigar emisiones de gases de efecto invernadero del sector de transportes argentino. Igualmente identifica algunos de los mayores desafíos para tal fin, con acento particular en transporte de mercancías. El trabajo analiza acciones tomadas a diferentes niveles de gobierno; igualmente discute el potencial de estas medidas para otras prioridades, como disminuir costos logísticos. De la misma manera, el artículo hace hincapié sobre la disponibilidad de data y las herramientas utilizadas por agencias gubernamentales para examinar las emisiones de transporte en Argentina.
El presente análisis se centra en las acciones inmediatas que pueden adoptar los distintos gobiernos con el fin de asegurarse de que las medidas excepcionales implementadas ante la crisis causada por el coronavirus (COVID-19) no echen por tierra sus esfuerzos por encontrar una solución eficaz a los problemas medioambientales más apremiantes, si no por el contrario mejoren la salud ambiental y la resiliencia de las sociedades.
45% der Flüchtlinge in Europa sind Frauen. Über ihre Integrationsergebnisse und die spezifischen Herausforderungen, mit denen sie konfrontiert sind, ist jedoch nur wenig bekannt. In diesem Bericht werden frühere Forschungsarbeiten zur Integration weiblicher Flüchtlinge, sowohl im Vergleich zu männlichen Flüchtlingen als auch zu anderen Migrantinnen, zusammengefasst. Darüber hinaus werden neue Vergleichsdaten aus aus-gewählten europäischen und nichteuropäischen OECD-Ländern präsentiert. Weibliche Flüchtlinge sind einer Reihe von besonderen Integrationsherausforderungen ausgesetzt. So sind ihre Gesundheits-, Bildungs- und Arbeitsmarktergebnisse beispielsweise ungünstiger als die männlicher Flüchtlinge, die ihrerseits bereits gegenüber anderen Migrantengruppen benachteiligt sind. Zudem ist bei geflüchteten Frauen ein Jahr nach der Ankunft im Aufnahmeland eine Geburtenspitze zu beobachten. Viele weibliche Flüchtlinge kommen aus Ländern, in denen erhebliche Ungleichheiten zwischen Männern und Frauen herrschen und die Frauenerwerbstätigkeit im Allgemeinen gering ist. Allerdings besteht nur eine geringe Korrelation zwischen den Indikatoren der geschlechtsspezifischen Differenzen bei Erwerbsbeteiligung und Beschäftigung in den Herkunfts- und den Aufnahmeländern. Dies lässt den Schluss zu, dass die Integrationsherausforderungen durch beschäftigungs- und bildungspolitische Maßnahmen im Aufnahmeland bewältigt werden können. Der Bericht stellt außerdem fest, dass die Förderung des Erwerbs grundlegender Kompetenzen (Bildungsniveau, Sprache des Aufnahmelandes) zu deutlich verbesserten Arbeitsmarkt-ergebnissen führt. Ferner ist ein generationsübergreifender positiver Effekt auf die Kinder von Flüchtlingsfrauen zu beobachten. Daher scheinen strukturierte Integrations-programme, wie sie in den skandinavischen Ländern angeboten werden, eine lohnende Investition zu sein.