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Registros recuperados: 1.381 | |
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Wailes, Eric J.; Chavez, Eddie C.. |
The Arkansas Global Rice Model is based on a multi-country statistical simulation and econometric framework. The model is disaggregated by five world regions: Africa, the Americas, Asia, Europe, and Oceania. Each region includes country models which have a supply sector, a demand sector, a trade, stocks and price linkage equations. All equations used in this model are estimated using econometric procedures or identities. Estimates are based upon a set of explanatory variables including exogenous macroeconomic factors such as income, population, inflation rate, technology development, and especially, government determined policy variables which reflect the various mechanisms by which countries intervene in their rice sector economy. Individual country... |
Tipo: Report |
Palavras-chave: Rice; Trade model; Policy; Agricultural and Food Policy; Research and Development/Tech Change/Emerging Technologies; CO2; C61; F11; F14; Q17; Q18. |
Ano: 2011 |
URL: http://purl.umn.edu/102650 |
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Guimaraes, Marcelo Fernandes; Nogueira, Jorge Madeira. |
Agricultural insurance is considered to be an effective to manage rural risks. Surprisingly, its adoption by farmers is very limited all over the world. An outstanding exception is the United States of America, country in which this instrument has achieved remarkable success. Nevertheless, the process of diffusion of agricultural insurance in the USA was slow and expensive. It has also required significant government intervention through a variety of complementary actions. In this context, countries willing to introduce this instrument among other agricultural policy tools, as it seems the case of Brazil, should proceed with caution. Agricultural insurance success has important pre-requisites and its general diffusion may amplify its problems. The analysis... |
Tipo: Journal Article |
Palavras-chave: Rural risk management; Agricultural insurance; North American agricultural policies.; Agribusiness; Q18; Q12. |
Ano: 2009 |
URL: http://purl.umn.edu/60814 |
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Quiroga, Jose. |
The framework allows comprehensive and consistent measurement and classification of U.S. domestic support to 2015 under different assumptions. Projections of future U.S. domestic support patterns are made with estimates published in the USDA Agricultural Baseline Projections. We also use information from the OECD, FAPRI, NASS, and our own estimates. We present key elements and an overview of our analytical framework, assumptions of a baseline scenario, and some analytical results and observations arising from our analysis. The baseline scenario extends the classification of programs in WTO notifications to 2015. The framework consists of 65 spreadsheets, which are grouped into 4 analytical stages: calculation of program estimates by commodity; calculation... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Agriculture; AMS; De minimis; Domestic support; WTO; Framework; International Relations/Trade; F1; Q1; Q17; Q18; F13. |
Ano: 2006 |
URL: http://purl.umn.edu/25412 |
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Elbehri, Aziz; McDougall, Robert; Horridge, Mark. |
This paper describes a global model for agriculture and bioenergy (GLOMAB) that incorporates biomass, biofuels and bioelectricity sectors into the GTAP-Energy model by expanding the global GTAP database, production and consumption structures. Biofuels are separated between first- generation (sugar ethanol, starch ethanol) and second- generation (cellulosic ethanol) biofuels and associated biomass feedstocks (maize, sugar cane, crop residues, woody biomass). Beside biofuels, the model also incorporates bioelectricity (as separate form conventional electricity) which competes for the same biomass feedstocks with cellulosic ethanol sector (agricultural residues, woody biomass). With this broad-based representation of the bioenergy system likely to prevail... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Biofuels; Renewable Energy; Biomass; Agricultural Markets; Computable General Equilibrium (CGE); Food Security and Poverty; Resource /Energy Economics and Policy; C68; Q18; Q42; R14. |
Ano: 2009 |
URL: http://purl.umn.edu/51914 |
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Registros recuperados: 1.381 | |
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