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Registros recuperados: 2.283 | |
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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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Davis, Jeffrey S.. |
The production function approach has been one of the two main ex-post procedures used to estimate the rate of return to agricultural research. A critical part of estimating the marginal internal rate of return (MIRR) is the procedure adopted to spread the benefits of research through time. Past studies using this approach have given only brief consideration to this computational procedure. The objective in this study was to review the different computational procedures used and, then, using cross-section production function estimates for U.S. agriculture, determine whether the MIRR estimates are sensitive to the computational procedure used. The results from this comparison indicate a large range in the estimates. The implication, then, is that careful... |
Tipo: Journal Article |
Palavras-chave: Productivity Analysis; Research and Development/Tech Change/Emerging Technologies. |
Ano: 1981 |
URL: http://purl.umn.edu/22632 |
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Williams, Robert J.; Baker, J.R.. |
The use of response surface designs in preference to factorial designs in agriculture has become widely discussed and recommended. This paper simulates data for comparable response surface and factorial designs and uses this to demonstrate the similarities between the designs and their analyses and at the same time to point out some of the customary differences in their analyses. More particularly, it aims to show: (a) that for any design a reduction in the number of plots sown reduces the reliability of the results, and (b) that both a response surface design and a factorial design allow the calculation of estimated equations of response surfaces. |
Tipo: Journal Article |
Palavras-chave: Research and Development/Tech Change/Emerging Technologies. |
Ano: 1968 |
URL: http://purl.umn.edu/9206 |
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Barreto, Ricardo Candéa Sá; Almeida, Eduardo Simões de. |
Este artigo estuda o crescimento econômico e a convergência de renda Agropecuária dos estados Brasileiros de 1986 a 2004. Para este fim, utiliza-se um modelo econométrico de efeitos fixos, controlando-se a dependência espacial. Além de comprovar convergência condicional, o modelo econométrico revelou que o crescimento do PIB per capita agropecuário foi afetado por variáveis como capital físico agropecuário, infra-estrutura telefônica, infra-estrutura de armazenagem, crédito rural, número de trabalhadores rurais, e por externalidades espaciais. Além disso, ficou evidenciada a importância de P & D agropecuário para o crescimento e convergência de renda per capita no setor agropecuário e ainda a geração de externalidades espaciais... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Convergência de renda agropecuária; Nova geografia econômica; Modelo de efeitos fixos com dependência espacial; Income convergence; New economic geography; Fixed effect model with spatial dependence; Agricultural Finance; Research and Development/Tech Change/Emerging Technologies; O18; O47; R11; R23. |
Ano: 2008 |
URL: http://purl.umn.edu/108170 |
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McRoberts, Neil; Franke, A.C.. |
We introduce a new model for examining the dynamics of uptake of technological innovations in agricultural systems, using the adoption of zero-till wheat in the rice-wheat system in Haryana state, India, as a case study. A new equation is derived which describes the dynamics of adoption over time and takes into account the effect of aggregation (e.g. on a spatial and/or cultural basis) in the adopting population on the rate of adoption. The model extends previous phenomenological models by removing the assumption of homogeneity in the non-adopting fraction of the population. We show how factors affecting the per capita rate of adoption can be captured using cognitive mapping and simulate the dynamics of the adoption process. |
Tipo: Working or Discussion Paper |
Palavras-chave: Bass curve; Adoption; Innovation; Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies. |
Ano: 2008 |
URL: http://purl.umn.edu/61117 |
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Registros recuperados: 2.283 | |
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