Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 3
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Spatial and Temporal On-Farm Risk Management - Crop Production Scheduling and Index Insurance Strategies 31
Lin, Shanshan; Mullen, Jeffrey D.; Hoogenboom, Gerrit.
An agronomic crop growth model, Decision Support System for Agro-Technology Transfer (DSSAT), is used to find optimal crop management strategies for cotton production in Mitchell, Miller, and Lee Counties in Georgia during the past 10 years. Planting date and irrigation threshold are the two variables optimized to maximize farmer's expected utility. A decreasing absolute risk aversion - constant relative risk aversion (DARA-CRRA) utility function is used to examine crop management decision that can be influenced by changes in inter-temporal risk behavior. Comparison is made from management perspective - one is dynamic crop management strategy that varies each year; one is static (constant) strategy over 10 years. Based on the best crop management...
Tipo: Conference Paper or Presentation Palavras-chave: Irrigation; Planting Date; Risk Management; Weather Derivative Contract; Basis Risk; Agribusiness; Agricultural Finance; Crop Production/Industries; Farm Management; Financial Economics; Risk and Uncertainty.
Ano: 2009 URL: http://purl.umn.edu/49350
Imagem não selecionada

Imprime registro no formato completo
Dynamic Optimization of Area Revenue Insurance and Consumption Smoothing 31
Lin, Shanshan; Mullen, Jeffrey D.; Wetzstein, Michael E..
This study examines the interaction between insurance, credit and liquidity constraints using a stochastic dynamic model. A risk averse farmer whose objective is to manage both production and market risk is assumed to maximize the expected utility of life-time consumption by using both area revenue (AR) insurance and consumption smoothing subject to a credit constraint. The dynamic programming is coded in MATLAB using DDPSOLVE algorithm (Appendix a). DSSAT crop simulation model is used to determine optimal irrigation strategy and to simulate farm level yield. A Bayesian Model is used to estimate expected county-level revenue. The approach and results are illustrated via a numerical example using county level data from Mitchell County in Georgia. Results...
Tipo: Conference Paper or Presentation Palavras-chave: Area Revenue Insurance; Consumption Smoothing; Credit Risk; Dynamic Optimization; Bayesian Modeling; Agricultural Finance; Farm Management; Financial Economics.
Ano: 2010 URL: http://purl.umn.edu/61419
Imagem não selecionada

Imprime registro no formato completo
Farm-Level Risk Management Using Irrigation and Weather Derivatives 31
Lin, Shanshan; Mullen, Jeffrey D.; Hoogenboom, Gerrit.
An agronomic crop growth model—the Decision Support System for Agro-Technology Transfer—and a constant relative risk aversion utility function are used to examine corn irrigation strategies in Mitchell County, Georgia. Precipitation contracts are designed to help farmers manage risk. Three conclusions originate from the findings. First, the optimal irrigation strategy can greatly increase producers’ certainty-equivalent revenue. Second, changes in water pricing policy would have a limited impact on the amount of water used. And third, across levels of risk preference, the precipitation contracts are not effective in increasing certainty-equivalent revenue or reducing cumulative water use.
Tipo: Journal Article Palavras-chave: Irrigation risk management; Water pricing policy; Weather derivative contract; Agribusiness; Environmental Economics and Policy; Farm Management; Food Consumption/Nutrition/Food Safety; D8; G22; Q15; Q25.
Ano: 2008 URL: http://purl.umn.edu/46986
Registros recuperados: 3
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