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Stochastic efficiency analysis with risk aversion bounds: a correction

Meyer, Jack; Richardson, James W.; Schumann, Keith D. - In: Australian Journal of Agricultural and Resource Economics 53 (2009) 4

A recent paper by Hardaker et al. (The Australian Journal of Agricultural and Resource Economics, 48, 2004a, 253) and … book by Hardaker et al. (Coping with Risk in Agriculture, 2004b) describe a procedure for determining an efficient set from … claimed to make the same assumption concerning the risk aversion measures as does stochastic dominance with respect to a …

Persistent link: https://www.econbiz.de/10010910184

Stochastic efficiency analysis with risk aversion bounds: a comment

Hardaker, J.B.; Lien, Gudbrand D. - In: Australian Journal of Agricultural and Resource Economics 54 (2010) 3

to a function (SERF). While both methods compare risky prospects for a bounded range of degrees of risk aversion, SERF …, unlike SDRF, also demands an assumption that a chosen measure of risk aversion is constant over all levels of outcomes being … function and the bounds on the degree of risk aversion are carefully chosen. Then SERF has the advantage that it can lead to a …

Persistent link: https://www.econbiz.de/10011167673

A hybrid commodity price-forecasting model applied to the sugar–alcohol sector

Ribeiro, Celma O.; Oliveira, Sydnei M. - In: Australian Journal of Agricultural and Resource Economics 55 (2011) 2

Accurate price forecasting for agricultural commodities can have significant decisionmaking implications for suppliers, especially those of biofuels, where the agriculture and energy sectors intersect. Environmental pressures and high oil prices affect demand for biofuels and have reignited the...

Persistent link: https://www.econbiz.de/10010888123

On the regulation of spatial externalities: coexistence between GM and conventional crops in the EU and the ‘newcomer principle’

Ceddia, Michele Graziano; Bartlett, Mark; Lucia, Caterina De - In: Australian Journal of Agricultural and Resource Economics 55 (2011) 1

Pollen-mediated gene flow is one of the main concerns associated with the introduction of genetically modified (GM) crops. Should a premium for non-GM varieties emerge on the market, ‘contamination’ by GM pollen would generate a revenue loss for growers of non-GM varieties. This paper...

Persistent link: https://www.econbiz.de/10010888130

Determinants of fruit and vegetable consumption in Malaysia: an ordinal system approach

Yen, Steven T.; Tan, Andrew K.G.; Nayga, Rodolfo M. Jr - In: Australian Journal of Agricultural and Resource Economics 55 (2011) 2

We examine the socio-demographic determinants of fruit and vegetable consumption using household survey data from Malaysia. A bivariate ordered probability model is developed by the copula approach. Results for a system of fruit and vegetable servings per week indicate that education, age,...

Persistent link: https://www.econbiz.de/10010910187

COTION: THE 1985 FSA MADE A DIFFERENCE, BUT SO DID DEVALUATION

Chen, Dean T.; Anderson, Carl G. - In: Choices 05 (1990) 2

The strong economic performance of the U.S. cotton industry has been widely attributed to the 1985 Food Security Act (1985 FSA). These effects have been substantive. However, the devaluation of the dollar relative to other currencies was also important and its effects were substantial and...

Persistent link: https://www.econbiz.de/10010916918

Crop residue management: Adoption in the United States

Sandretto, Carmen L. - In: Choices 13 (1998) 1

Persistent link: https://www.econbiz.de/10010917223

Dan Dvoskin on U. S. Farm Excess Capacity: Its Value Is a New Record

Dvoskin, Dan - In: Choices 02 (1987) 1

Persistent link: https://www.econbiz.de/10010881380

The Policy and Legal Environment for Farm Transitions

Ferrell, Shannon L.; Boehlje, Michael; Jones, Rodney - In: Choices 28 (2013) 2

Persistent link: https://www.econbiz.de/10011095850

Event-specific data envelopment models and efficiency analysis

Chambers, Robert G.; Hailu, Atakelty; Quiggin, John - In: Australian Journal of Agricultural and Resource Economics 55 (2011) 1

Most, if not all, production technologies are stochastic. This article demonstrates how data envelopment analysis (DEA) methods can be adapted to accommodate stochastic elements in a state-contingent setting. Specifically, we show how observations on a random input, not under the control of the...

Persistent link: https://www.econbiz.de/10010888127