Regime Shifts in the Fish Meal/Soybean Meal Price Ratio

Aquaculture growth has led to worries about overfishing and reduction in wild‐caught food fish supply because of increased demand for fish meal. As such, the price ratio between fish meal and soybean meal has received much attention as an indicator of changing market conditions. In recent years, the price ratio between these two commodities has become more volatile. Several authors have suggested that the traditional relationship between fish meal and soybean meal has broken down and that this is evidence of increased demand pressure on fish meal. In this article, we investigate the hypothesis that there are two regimes for the relative price between fish meal and soybean meal. The empirical results support this hypothesis, with the low‐price regime representing the traditional stable relative price. The continued linkages between the fish meal and the soybean meal markets indicate that aquaculture is reducing its dependency on marine proteins in favour of vegetable proteins.     

Stochastic Production and Heterogeneous Risk Preferences: Commercial Fishers' Gear Choices

We present a model of fishers' gear choice, which allows for heterogeneity both in production technology and risk preferences and apply it on a panel of Swedish trawlers. Stochastic revenue functions are estimated and used to predict the mean and standard deviation of revenue for each trip. In a random-parameters logit model, we test if these predicted values explain gear choice. A majority of fishers respond positively to increased mean and negatively to increased variability of expected landing values, indicating risk aversion, but also show a strong tendency to choose the same gear used on the previous trip.     

Production risk in multi-output industries: estimates from Norwegian dairy farms

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 article estimates the structure of the stochastic multioutput 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.     

Estimation and decomposition of inefficiency when producers maximize return to the outlay: an application to Norwegian fishing trawlers

This paper deals with estimation of a production technology where endogeneous choice of input and output variables is explicitly recognized. In particular, we assume that producers maximize return to the outlay (RO). For simplicity and tractability we start with a Cobb–Douglas transformation function with multiple inputs and outputs and show how the first-order conditions of RO maximization can be used to derive an estimating equation which is nothing but a partial input productivity equation. This equation does not suffer from the econometric endogeneity problem although the output and input variables are endogenous. First, we consider the case where producers are fully efficient allocatively but technically inefficient. The model is estimated using a single equation stochastic frontier approach. The model is then extended to allow allocative inefficiency and it is estimated as a system using generalized method of moment. Algebraic expressions are derived to decompose the effect of technical and allocative inefficiencies on RO. We also consider translog specifications that are estimated as (1) a single equation frontier model as well as (2) a system. We use a panel of Norwegian fishing trawlers data to estimate the model. Outputs are different species caught while inputs are labor and vessel size. We also control for number of days of operation, age of the vessel and year effects. Empirical results show that the average rate of RO is reduced by about 20 to 30 % due to technical inefficiency. On the other hand, average allocative efficiency is found to be about 78 %. The average overall efficiency is found to be around 60 %.     

Plant Exit, Vintage Capital and the Business Cycle

Despite the large literature on plant exit behavior, little attention has been paid to the vintage capital theory as an alternative hypothesis to learning. Learning models predict that exit rates decrease with plant age and the vintage capital theory predicts that exit rates increase with the age of capital. We use a panel of Norwegian manufacturing plants and construct an index of capital age to distinguish between the effects on exit rates. The empirical results imply that there is both a learning effect and a vintage capital effect. We also find that exit rates depend on the business cycle, and increase in severe downturns.     

A dynamic profit function with adjustment costs for outputs

It is well known that there are adjustment costs associated with many input factors, which delays firms response to changes in relative prices. Although adjustment costs are implicitly acknowledged when a cost rather than profit function is used, little attention has been given to adjustment costs for outputs. However, in many cases there will also be adjustment costs associated with changes in the product mix for multioutput firms. In this paper we formulate a firm’s optimization problem in a profit maximizing set up that allows adjustment costs for all netputs from which it follows that adjustment cost for some factors affect the adjustment of both inputs and outputs. We also show that one can test whether a factor is quasi-fixed or fully fixed.