Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 5
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
2008 Michigan Dairy Industry Survey AgEcon
Bitsch, Vera.
The Michigan State University (MSU) Dairy Team conducted an industry survey with the objectives of identifying and rating industry priorities. After holding discussion groups across the state, two questionnaires were developed and sent to 2,237 dairy farm owners and operators and 480 allied industry professionals in the state; 23.4% of the dairy farmers and 28.1% of the allied industry professionals returned questionnaires with useable data. This report summarizes respondents’ ratings of industry issues, as well as education and knowledge needs. In addition, educational preferences, management practices, Internet use and access, demographic information, and farm characteristics are outlined.
Tipo: Report Palavras-chave: Dairy farmers; Dairy industry; Extension evaluation; Information sources; Internet use; Survey questionnaire; Agribusiness; Agricultural and Food Policy; Environmental Economics and Policy; Farm Management; Labor and Human Capital; Livestock Production/Industries; Marketing; Research and Development/Tech Change/Emerging Technologies; Teaching/Communication/Extension/Profession; M0; Q12; Q13; Q14; Q16; Q18.
Ano: 2009 URL: http://purl.umn.edu/51842
Imagem não selecionada

Imprime registro no formato completo
Do Farmers Hedge Optimally or by Habit? A Bayesian Partial-Adjustment Model of Farmer Hedging AgEcon
Dorfman, Jeffrey H.; Karali, Berna.
Hedging is one of the most important risk management decisions that farmers make and has a potentially large role in the level of profit eventually earned from farming. Using panel data from a survey of Georgia farmers that recorded their hedging decisions for 4 years on four crops, we examine the role of habit, demographics, farm characteristics, and information sources on the hedging decisions made by 57 different farmers. We find that the role of habit varies widely and that estimation of a single habit effect suffers from aggregation bias. Thus, modeling farmer-level heterogeneity in the examination of habit and hedging is crucial.
Tipo: Journal Article Palavras-chave: Bayesian econometrics; Habit formation; Hedging decisions; Information sources; Agribusiness; Agricultural Finance; Farm Management; Financial Economics; Labor and Human Capital; Production Economics; Productivity Analysis; Research Methods/ Statistical Methods; C11; Q12; Q14.
Ano: 2010 URL: http://purl.umn.edu/100519
Imagem não selecionada

Imprime registro no formato completo
Do Farmers Hedge Optimally or by Habit? A Bayesian Partial-Adjustment Model of Farmer Hedging AgEcon
Dorfman, Jeffrey H.; Karali, Berna.
Hedging is one of the most important risk management decisions that farmers make and has a potentially large role in the level of profit eventually earned from farming. Using panel data from a survey of Georgia farmers that recorded their hedging decisions for four years on three crops we examine the role of habit, demographics, farm characteristics, and information sources on the hedging decisions made by 106 different farmers. We find that the role of habit varies widely. Information sources are shown to have significant and large effects on the chosen hedge ratios. The farmer's education level, attitude toward technology adoption, farm profitability, and the ratio of acres owned to acres farmed also play important roles in hedging decisions.
Tipo: Conference Paper or Presentation Palavras-chave: Bayesian econometrics; Hedging decisions; Habit formation; Information sources; Agricultural Finance.
Ano: 2008 URL: http://purl.umn.edu/37596
Imagem não selecionada

Imprime registro no formato completo
INFORMATION AND THE ADOPTION OF PRECISION FARMING TECHNOLOGIES AgEcon
McBride, William D.; Daberkow, Stan G..
Precision farming technologies have been commercially available since the early 1990s, but the pace of adoption among U.S. farmers has been modest. This study examines the relationship between the adoption of diagnostic and application techniques of precision farming and sources of information available to farmers about precision farming. The model used in the analysis accounts for sources of self-selection in the adoption process that could bias the results. Results indicate interpersonal information sources have increased adoption relative to information from the mass media, and the private sector has been the driving force behind the diffusion of precision farming. Information from crop consultants and input suppliers has had the greatest impact on the...
Tipo: Journal Article Palavras-chave: Information sources; Logit analysis; Precision farming; Self-selection bias; Technology adoption; Farm Management; Research and Development/Tech Change/Emerging Technologies.
Ano: 2003 URL: http://purl.umn.edu/14671
Imagem não selecionada

Imprime registro no formato completo
Preference for Risk Management Information Sources: Implications for Extension and Outreach Programming AgEcon
Rejesus, Roderick M.; Knight, Thomas O.; Jaramillo, Mauricio; Coble, Keith H.; Patrick, George F.; Baquet, Alan E..
This article examines farmers’ preferences for various risk management information sources. Our results suggest that information from risk management experts, in-depth materials studied on their own, and popular press outlets tend to be preferred and are ranked highly by producers. Using a regression model to investigate farmer/farm attributes that affect preference for a particular risk management information source, we find that younger farmers with college education, higher leverage, assets greater than $1 million, risk-loving attitudes, and who have used professional services (marketing consultants) tend to prefer information from risk management experts, the Internet, and marketing clubs/other producers. On the other hand, producers who prefer...
Tipo: Journal Article Palavras-chave: Crop insurance; Extension; Information sources; Outreach; Risk management; Risk and Uncertainty.
Ano: 2008 URL: http://purl.umn.edu/44742
Registros recuperados: 5
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional