Consulta: creatorFacets:"Tveteras,   Ragnar"
Registros recuperados: 6
Data/hora: 10/06/2024 18:42:24

Production risk in multi-output industries: estimates from Norwegian dairy farms
Provedor de dados: 31
Autores: Tveteras,   Ragnar; Flaten,   Ola; Lien,   Gudbrand D.
Farmers who produce multiple outputs are portfolio managers in the sense that they use inputs to balance expected economic return and variance of return. This paper estimates the structure of the stochastic multi-output production technology in Norwegian dairy farming, allowing for a more flexible specification of the technology than previous studies. We find that an increase in input levels leads primarily to higher output variability, and that inputs also influence the covariance of shocks between outputs. Risk-reducing effects of inputs on outputs are primarily present in the covariance functions. Technical change leads to shifts in the profit distribution over the data period, but no welfare improvement for risk-averse farmers.
Tipo: Conference Paper or Presentation
Palavras-chave: Multi-output technologies; Production risk; Dairy farming; Agribusiness; Livestock Production/Industries.
Ano: 2008
URL: http://purl.umn.edu/43958

STOCHASTIC PRODUCTION AND HETEROGENEOUS RISK PREFERENCES: COMMERCIAL FISHERS' GEAR CHOICE
Provedor de dados: 31
Autores: Eggert,   Hakan; Tveteras,   Ragnar.
As long as total effort cannot be completely controlled, a more thorough understanding of fishers' supply response decisions will be beneficial for fisheries managers. In this paper, we present a model of fishers' gear choice, which is empirically estimated on a panel of Swedish demersal trawlers. The approach allows for heterogeneity both in production technology and in risk preferences. Stochastic revenue functions with fixed effects are estimated and used to predict expected revenue and standard deviation for each trip. We employ a linear utility function in the mean-standard deviation framework and then analyze the gear choices, using the predicted values together with vessel capacity and lagged variables for the previous trip in a random parameters-...
Tipo: Conference Paper or Presentation
Palavras-chave: Risk and Uncertainty.
Ano: 2001
URL: http://purl.umn.edu/20671

A Comparison of Risk Exposure in Aquaculture and Agricultural Businesses
Provedor de dados: 31
Autores: Flaten,   Ola; Lien,   Gudbrand D.; Tveteras,   Ragnar.
Agriculture and aquaculture have common features associated with their biological nature affecting risk exposure of the businesses. The aim of this paper is to compare risk exposure in salmon farming and agricultural enterprises in Norway by using an implicit error component model to examine the risk structure of yields, prices and economic returns at the farm level. Results indicate a higher farm-level year-to-year variability in yields, prices and economic returns in salmon farming than in agricultural enterprises. The variability in livestock enterprises was generally lower than for crop enterprises. Return on assets was highest in salmon farming with an average annual return of 9.2%. All of the agricultural farm types exhibited a negative average...
Tipo: Conference Paper or Presentation
Palavras-chave: Risk analysis; Variability; Norway; Risk and Uncertainty.
Ano: 2008
URL: http://purl.umn.edu/44052

MODELING PRODUCTION RISK WITH A TWO-STEP PROCEDURE
Provedor de dados: 31
Autores: Asche,   Frank; Tveteras,   Ragnar.
This study deals with modeling of production risk by means of a two-step procedure. In contrast to earlier studies of production risk, we do not immediately adopt restrictive functional forms for the risky production technology. We first test for the presence of production risk. If production risk is found to be present, the mean and risk functions are estimated separately. This allows the use of more flexible functional forms for both the mean and the risk functions than commonly found in the literature. An empirical application to Norwegian salmon farming, where restrictive specifications of the technology are rejected, demonstrates the validity of our approach. Presence of production risk many primary production sectors implies that this approach should...
Tipo: Journal Article
Palavras-chave: Production Economics.
Ano: 1999
URL: http://purl.umn.edu/30790

Modelling Risks in the Salmon Industry and Markets
Provedor de dados: 31
Autores: Asheim,   Leif Jarle; Lien,   Gudbrand D.; Richardson,   James W.; Tveteras,   Ragnar; Veggeland,   Frode.
The paper proposes developing a trade model for salmon to assist in discussions and negotiations of current international salmon trade issues and major risk problems facing the salmon industry.  Two modeling approaches are discussed: 1) developing a traditional equilibrium trade programming model designed to maximize total welfare across all model regions by solving for a medium-term price that balances the amount of salmon supplied by the world region to the among processed and consumed by this region; and 2) developing an econometric stochastic simulation model based on linear or non-linear equations.  Some disadvantages and weaknesses of the programming model are discussed, whereas the econometric model needs further exploration and consideration.  The...
Tipo: Conference Paper or Presentation
Palavras-chave: Risks; Salmon; Programming model; Econometric model; International trade; Livestock Production/Industries; C60; C50.
Ano: 2005
URL: http://purl.umn.edu/56000

LEARNING AND TECHNOLOGY SPILLOVER: PRODUCTIVITY CONVERGENCE IN NORWEGIAN SALMON AQUACULTURE
Provedor de dados: 31
Autores: Tveteras,   Ragnar.
An econometric analysis of productivity convergence in Norwegian salmon aquaculture is undertaken. We also test for the effects of learning and external industry infrastructure capital.  Empirical evidence for reduction in productivity differentials  is found, but the estimated models also provide indications of more permanent differences in productivity and their underlying sources.
Tipo: Conference Paper or Presentation
Palavras-chave: Production economics; Production Economics; Research Methods/ Statistical Methods.
Ano: 1999
URL: http://purl.umn.edu/21651