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Registros recuperados: 76 | |
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Chavas, Jean-Paul. |
This paper explores the economics of input decision by a firm facing production uncertainty. It relies on a state-contingent approach to production uncertainty. First, the paper develops a methodology to specify and estimate cost-minimizing input decisions under a state-contingent technology. Second, the analysis is applied to time series data on US agriculture. It finds strong empirical evidence that, in the analysis of input choices, expected output alone does not provide an appropriate representation of production uncertainty. The results provide empirical support for an output-cubical technology. This indicates that an ex post analysis of stochastic technology (as commonly found in previous research) appears appropriate. The analysis also provides... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Production uncertainty; State contingent; Cost; Cubical technology.; Research Methods/ Statistical Methods; C3; D21; D8. |
Ano: 2006 |
URL: http://purl.umn.edu/21081 |
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Roberts, Roland K.; English, Burton C.; Larson, James A.; Cochran, Rebecca L.; Goodman, W. Robert; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Shurley, W. Donald; Reeves, Jeanne M.. |
Probit analysis identified factors that influence the adoption of precision farming technologies by Southeastern cotton farmers. Younger, more educated farmer who operated larger farms and were optimistic about the future of precision farming were most likely to adopt site-specific information technology. The probability of adopting variable-rate input application technology was higher for younger farmers who operated larger farms, owned more of the land they farmed, were more informed about the costs and benefits of precision farming, and were optimistic about the future of precision farming. Computer use was not important, possibly because custom hiring shifts the burden of computer use to agribusiness firms. |
Tipo: Journal Article |
Palavras-chave: Cotton; Grid soil sampling; Precision farming; Probit; Sample selection; Site-specific information; Technology adoption; Variable-rate application; D21; Q12; Q16. |
Ano: 2004 |
URL: http://purl.umn.edu/42943 |
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Pruitt, J. Ross; Gillespie, Jeffrey M.; Nehring, Richard F.; Qushim, Berdikul. |
Using USDA’s Agricultural Resource Management Survey data, factors leading to the adoption of technology, management practices, and production systems by U.S. beef cow-calf producers are analyzed. Binary logit regression models are used to determine impacts of vertical integration; region of the U.S.; farm size, diversification, and tenure; and demographics on adoption decisions. Significant differences were found in adoption rates by region of the U.S., degree of vertical integration, and size of operation, suggesting the presence of economies of size and vertical economies of scope. Results also indicate high degrees of complementarity among technologies, management practices, and production systems. |
Tipo: Article |
Palavras-chave: Cattle; Cow-calf; Management practices; Production systems; Technology adoption; Farm Management; D21; Q12; Q16. |
Ano: 2012 |
URL: http://purl.umn.edu/123778 |
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Langyintuo, Augustine S.; Mwangi, Wilfred; Diallo, Alpha O.; MacRobert, John F.; Dixon, John; Banziger, Marianne. |
The liberalization and restructuring of the seed sector in eastern and southern Africa (ESA) during the past two decades have witnessed a proliferation of private seed companies in the maize seed industry (Hassan et al., 2001; Lemonius, 2005). Although the total number of registered maize seed companies increased from 8 and 11, respectively, in 1997 to 40 each, the quantities of seed marketed barely doubled, increasing from 23,000 and 27,000 tons to 53,000 and 51,000 tons, respectively; an indication that the reforms are insufficient in ensuring efficient functioning of the sector in the two regions. A study involving 117 seed providers, representing 92 percent of all registered maize seed companies in ESA in 2007 identified bottlenecks that have... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Keywords: Maize seed industry; Seed policies; Eastern and southern Africa; Institutional and Behavioral Economics; International Development; Marketing; D21; M31; O32. |
Ano: 2009 |
URL: http://purl.umn.edu/51713 |
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Alvarez, Antonio; Arias, Carlos; Roibas, David. |
Resumen Este trabajo analiza la calidad en la producción de leche y su relación con la genética del rebaño. El marco analítico es un modelo de producción multi-output en el que la calidad de la leche se considera como un output del proceso productivo. El modelo propuesto abre la posibilidad del tratamiento empírico de la calidad y la genética mediante el uso de funciones distancia. En la parte empírica del trabajo se usa un panel de datos de 96 explotaciones lecheras asturianas que contiene índices genéticos del rebaño. Palabras clave: leche, calidad, genética, multi-output, función distancia. Abstract In this paper we analyze the influence of genetics on milk quality. For that purpose, we use a multi-output production model in which milk quality is... |
Tipo: Journal Article |
Palavras-chave: Milk; Quality; Genetics; Multi-output production model; Distance function.; Livestock Production/Industries; D21; Q12; C23. |
Ano: 2005 |
URL: http://purl.umn.edu/28791 |
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Chavez, Eddie C.; Dixon, Bruce L.; Ahendsen, Bruce L.; Wailes, Eric J.. |
This study presents and analyzes the mean financial characteristics of different types of crop and livestock farms in the U.S. in 2005. The eighteen farm types are: poultry, beef cattle, hogs, dairy, general livestock, general cash grain, wheat, corn, soybean, grain sorghum, rice, tobacco, cotton, peanut, general crop, fruits and tree nuts, vegetables, and nursery and greenhouse. Significant, two-way statistical differences in mean farm income statement and farm balance sheet variables are highlighted. Results provide a general indication of the comparative profitability, liquidity, solvency, and financial efficiency of different types of U. S. crop and livestock farms. |
Tipo: Working or Discussion Paper |
Palavras-chave: Farm type; ARMS data; Financial characteristics; Financial ratios; 2005; Agricultural Finance; Production Economics; Q12; Q14; D21. |
Ano: 2009 |
URL: http://purl.umn.edu/55780 |
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Registros recuperados: 76 | |
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