The Cost Structure of Ontario Dairy Farms: A Microeconometric Analysis

The cost structure of Ontario dairy farms is studied through a multiproduct hybrid-translog cost function, extended to include farm-specific structural characteristics and estimated using farm-level data. The regularity conditions of monotonicity in output quantities and input prices and concavity in input prices are satisfied at the median point. Parametric tests show that input-output separability is rejected while nonjointness is not, and seven out of twelve farm-specific characteristics significantly affect costs. Derived input demands are inelastic to own-price changes, and all inputs are net substitutes. Evidence is provided on the existence of increasing long-run returns to scale for a wide range of output levels. The results of the estimated cost function substantiate the claim of economic rents deriving from the milk pricing system. La structure des coûts des producteurs laitiers en Ontario est etudiée au moyen ?une fonction de coûts hybride-translog qui inclue plusieurs produits. La fonction de coûts est étendue de manière à inclure des caracteristiques structurelles de ferme, et est estimée à partir de données de ferme. Les conditions régulieres de monotonicité au niveau de la production et du prix des intrants, et de concavité au prix des intrants, sont satisfaites à la médiane. Des tests paramétriques montrent que la séparabilité intrant-extrant est rejectée tandis que la non association ne ?est pas. Sept des douze caractéristiques de ferme affectent les coûts de façon significative. Les demandes derivées ?intrants sont inélastiques par rapport au changement de leur propre prix et tous les intrants sont des substituts nets. On a prouvé ?existence ?économie ?échelle croissante à long terme pour une grande variété de niveaux de production. Les résultats obtenus supportent ?idée que le systeme de prix dans ?industrie laitière permet des rentes économiques.     

On the nature and magnitude of cost economies in hog production

In this article, we assess the impact of farm size on production cost and evaluate the marginal costs and margins by considering that input prices may change with the scale of production. By using French hog farm data, we estimate a system of equations including a feed price function, input demand functions, and an output supply function based on a technology approximated by a combined generalized Leontief‐Quadratic form. Our results suggest that the marginal costs are over‐estimated when the adjustment of the feed unit prices to a change in farm size is not controlled for. More specifically, the cost economies for large farms (enjoying the highest profits) arise primarily from lower feed prices, with technological scale economies having little impact. In contrast, farms with no hired labor exhibit technological scale economies and reach higher price‐cost margins compared to larger farms.     

MANAGEMENT AND SIZE ECONOMIES IN THE ENGLAND AND WALES DAIRY SECTOR

Analyses of size economies in the England and Wales dairy sector have generally been made on the basis of comparisons of input-output measures. These measures have been classified according to input use and farm size and have led to conclusions about efficiency and structural change. This paper examines the influence of managerial ability on economies of size using econometrically estimated long-run average cost (LAC) functions from Milk Marketing Board data for 1980/1. The results show that the LAC curve is U-shaped though skewed to exhibit greater economies than diseconomies of size. Better managed farms are shown to produce any given level of output at lower average cost. Moreover, they have larger optimal levels of output.     

The links between management's critical success factors and farm level economic performance on dairy farms in Sweden

Management's critical success factors (MCSFs) are used to indicate how farm profits develop, but their usefulness as profitability predictors has previously not been analyzed statistically. This paper explores the usefulness of some commonly used MCSFs in Swedish dairy farms, by investigating whether the MCSFs are significant predictors of economic efficiency. Further, the paper takes a comprehensive view of evaluating farm level efficiency, in that all major input and output efficiency scores are estimated. Previous literature has focused on only one score, or on only one perspective. Our results show that cost efficiency is the more problematic part of the profitability process. Especially the allocative part needs to be improved. Moreover, the results show that the MCSFs milk quality, herd fertility and involuntary culls ratio may not work as indicators of economic performance, whereas milk yield per cow and the mastitis ratio are significant indicators.     

THE DEMAND FOR MEAT — AN EXAMPLE OF AN INCOMPLETE COMMODITY DEMAND SYSTEM*

Equations describing the demand for beef and veal, mutton, lamb, pork and chicken are estimated using the full information maximum likelihood estimator. Elasticity estimates are presented and the double logarithmic model is compared with a demand system which is derived from the indirect translog utility function. Estimates of the direct price and income elasticities are not particularly sensitive to model specification but the estimated cross-price elasticities are sensitive to the choice of functional form. The results indicate that the double logarithmic specification may be less satisfactory than the alternative presented in cases where restrictions on the parameters are imposed during estimation.     

Scale Economies,Technical Efficiency,and the Sources of Total Factor Productivity Growth of Quebec Dairy Farms

Canada's average cost for milk production is among the highest in the world. This paper focuses on specific potential causes by estimating economies of scale and technical efficiency for a panel of Quebec dairy farms that spans the 2001–10 period. Additionally, this paper investigates the sources of total factor productivity growth. The stochastic frontier analysis, based on an input‐distance function, is used to estimate returns to scale relationships across dairy farms. The results show that there is significant economies scale to be exploited and that cost of production could also be reduced by improving technical efficiency. Accordingly, the paper indicates that input‐mix effect is the main source of total factor productivity growth. The results have important implications for Canada's supply management policy, and more specifically for the trading of production quota between dairy farmers, as well as for the delivery of targeted extension services.     

Enhancing productivity on suburban dairy farms in China

Dairy farms in China's suburban areas have been playing an important role in providing urban markets with fresh milk. With the rising demand for fluid milk and dairy products in the cities, there is a perception that small and scattered dairy farms in China's provinces are gradually disappearing and more concentrated dairy cattle farming is being formed near suburban areas. This article uses farm‐level survey data and stochastic input distance functions to make estimates of total factor productivity (TFP) on suburban dairy farms, as well as for the entire dairy sector. The results show that over the past decade TFP growth has been positive on suburban dairy farms, and this rise in productivity has been driven mostly by technological change. However, at the same time we find that, on average, the same farms have been falling behind the advancing technical frontier. We also find one of the drivers of the suburban dairy sector is the relatively robust rate of technological change of these farms, which has been more rapid than on farms in the dairy sector as a whole. The results suggest that efforts to achieve greater adoption of new technologies and better advice on how to use the technologies and manage production and marketing within the suburban dairy sector will further advance productivity growth in the sector.     

Determinants, differentiation, and development of short-term marginal costs in dairy production: an empirical analysis for selected regions of the EU

This work provides evidence on the determinants, cost differentiation, and development of short‐term marginal costs of dairy farms in important production regions of the European Union. The empirical study is based on the estimation of multi‐input multi‐output Symmetric Generalized McFadden cost functions using an unbalanced panel data set of the European Farm Accountancy Data Network. The results show considerable regional differences in the impact of the outputs, input prices, and fixed factors on marginal costs. Strong evidence can be found that marginal costs decrease over time and is further underlined by the development of derived regional aggregated short‐term supply curves. Marginal cost elasticities and correlation coefficients validate the hypotheses that a high degree of farm specialization, large milk output, and low milk prices are associated with lower marginal costs. Furthermore, the marginal cost spread in the data sample is analyzed. We show that milk output, milk yield, herd size, labor input, and fodder production can be attributed to significant marginal cost differentiation of farms, whereas for crop and animal output, grassland, stock of other animals, and depreciation only minor differentiation can be found.     

Technology and efficiency in a panel of Italian dairy farms: an SGM restricted cost function approach

This article employs a short‐term specification of the symmetric generalised McFadden (SGM) cost function capable of accommodating quasi‐fixed factors and variable returns. Temporary equilibrium and scale economies are investigated while maintaining the consistency of the estimated model with microeconomic theory and approximation properties. It also makes use of a two‐step procedure to estimate first the technology parameters and then time‐varying efficiency at farm level. No distributional assumptions are required on efficiency as we consider a fixed effect model. A balanced panel of Italian dairy farms during the years from 1980 to 1992 serves as the case study. The results suggest a rigid productive structure during the pre‐ and post‐quota period. Moreover, Italian milk producers are found to exhibit considerable excess capacity and rather low input technical efficiency.     

A Real Options Approach for the Investment Decisions of a Farm‐Based Anaerobic Digester

The profitability of anaerobic digesters (ADs) for Ontario dairy farmers are examined using real options under current and proposed government pricing policies and investment uncertainty. In the case of a renewable energy initiative such as an AD with large sunk costs and volatile returns, the value of deferring investment may be significant enough to offset the returns suggested by the net present value (NPV) approach. For a 150 cow herd, net revenues should be approximately $1.1 million before the AD is installed using the real options approach as compared to $0.5 million with the NPV approach. An AD is close to generating a positive NPV for a 600 cow herd if for either a 1% increase in the electrical price or decrease in the cost. However, farmers need not invest today and there is a value to delaying this decision from potential improvements in the technology that increase the efficiency and/or decrease operating costs of the AD. The real options analysis indicates that this option to delay investment has a value of approximately $300,000 for a typical Ontario dairy farm. Thus, either significant grant funding or higher feed‐in‐tariff rates are required to induce the increased adoption of AD technology in Ontario today even for the largest of dairy farms. Considering the probability of government support potentially ending, increases the value of investing today but a significant option value to defer still exists.     

Supply Management and Productivity Growth in Alberta Dairy

Specification of quota licenses as quasi-fixed inputs in a multi-variate flexible accelerator model of dynamic input adjustment reveals supply management's effect on Alberta dairy investment patterns and, thereby, on total factor productivity growth. Estimates of a dynamic dual model of Alberta dairy, using panel data from 1975–91, show that strong complementarity between cattle and quota licenses results in short-run cattle adjustments that are opposite in direction from the long-run adjustments. A model of total factor productivity growth under dynamic input adjustment shows that the distortions to cattle investment caused by investing in quota licenses adversely affects productivity growth. As a result, there is likely to be a significant understatement of single-period estimates of the cost of supply management in the dairy sector.     

Productivity of New York Dairy Farms Measured by Nonparametric Malmquist Indices

The productivity of 70 individual New York dairy farms, decomposed into technical efficiency change and technological change components, was measured annually from 1985 to 1993 from output distance functions estimated using nonparametric programming methods. Technology is measured regressively only if it is regressive to all previous periods rather than just the immediate previous period. Productivity increase averaged 2.6 per cent annually, mostly from gains in technological improvements, since average efficiency decreased slightly. Twenty-five per cent of the farms failed to increase productivity sufficiently over the period to offset the decreased ratio of output to input prices.     

Gains and structural effects of exploiting scale-economies in Norwegian dairy production

In this paper, we present calculations of the economic gains in terms of reduced costs by exploiting scale‐economies in dairy production in Norway, and the effect this would have had on the number of farms. We also explore whether or not optimal scale and unexploited scale‐economies change over time due to scale‐augmenting technical change. The analysis is based on homothetic cost functions estimated by means of data for individual dairy farms for the period 1972–1996. For 1972, we find that, by full exploitation of scale‐economies, the costs could have been reduced by almost 40%, while the number of farms would have been reduced by more than 85%. The number of small farms has been substantially reduced in the period considered. This fact, combined with small scale‐augmenting technical change, implies that the gains and structural effects of exploiting scale‐economies have decreased over time. In 1996, costs could have been reduced by close to 30% by full exploitation of scale‐economies, while the number of farms would have been reduced by slightly more than 70%. Thus, both gains and structural effects are substantially less than in 1972. Nevertheless, the calculated gains for 1996 make almost 5 billion NOK. This corresponds almost exactly to the total public support to the dairy farms in 1996. The unexploited scale‐economies are largely due to the agricultural policy. Thus, a substantial share of the same can be considered as part of the‘price’ the Norwegian society has to pay for this policy. In addition, there are likely to be large hidden costs of this policy due in particular to the quota system and other direct production regulations. They imply that technical innovations and other efficiency‐improving investments requiring increased production to be profitable are not carried out. This is the more likely explanation for the extremely poor efficiency development in Norwegian dairy production in the period studied.     

Scale Efficiency in the New Zealand Dairy Industry: a Non-parametric Approach

The aim in this article is to measure the scale efficiency of the New Zealand dairy industry and to examine the relationship between farm size and technical efficiency. Data envelopment analysis (DEA) is applied to a sample of 264 dairy farms. The results suggest that 19 per cent of these farms are operating at optimal scale, 28 per cent at above optimal scale, and 53 per cent at below optimal scale. On average, the optimal size for New Zealand dairy farms is estimated at 83 hectares with a herd of 260 animals. Average technical efficiency is estimated at 89 per cent.     

Technical efficiency and farm size: a conditional analysis

The relationship between technical efficiency and size might be affected by farm heterogeneity. We analyse this relationship conditional on a set of control variables. These control variables are chosen using a production model where technical efficiency is introduced as a parameter. As a result, technical efficiency affects both the input demand and the output supply of a profit maximising producer. The empirical application explores these issues using panel data of dairy farms in Spain.     

Ozone and Wheat Farming in Alberta: A Micro-study of the Effects of Environmental Change

Alberta's Clean Air Act of 1971 sets out maximum allowable levels for ozone concentrations in Alberta. Evidence shows that these standards for ambient ozone concentrations are often exceeded. As biological studies reveal, one of the consequences of exposure to ozone can be reduced yields for agricultural crops. Wheat, a major crop in Alberta, is one crop that has been shown to be sensitive to ozone. Biological studies alone, however, cannot capture the responses of farmers to deteriorating air quality. The profit-maximizing response, which can include changes in both output levels and input mixes, and the cost-minimizing response, which involves changes in input mixes, can be captured by estimating a variable profit and a variable cost function. The application of duality theory to the results from estimation of variable profit and cost functions allows researchers to study the impact of changing ozone levels on profits and costs as well as on the selection of factor input mixes and wheat output levels. In our study of wheat farming in Alberta, we find that, while the specific responses of farmers in terms of their input mix and output supply appear to vary across farms, there are significant decreases in profits and increases in costs as ozone concentrations rise. La Alberta Clean Air Act de 1971 fixe les niveaux acceptables maximums d'ozone en Alberta. Il appert que ces concentrations ambientales sont souvent dépassées. Comme le révèelent les études biologiques, une des conséquences de l'exposition à l'ozone peut être une diminution du rendement des cultures. Culture d'importance en Alberta, le blé s'est montré sensible à l'ozone. Toutefois, les études biologiques à elles seules ne peuvent saisir toutes les réactions des agriculteurs à la dégradation de la qualité de I'air. La réaction axée sur la maximisation des profits, laquelle peut inclure des changements à la fois dans le niveau de production et dans la composition des intrants, et la reponse axee sur la minimisation des coûts qui, elle, ne porte que sur la composition des intrants peuvent être saisies par une fonction à profit variable et par unefonction à coût variable. L'estimation combinée de ces fonctions permet aux chercheurs d'examiner les incidences des changements de la concentration d'ozone sur les bénéfices et sur les coûts, ainsi que sur le choix des combinaisons d'intrants utilisées et des niveaux de rendement du blé escomptés. Dans le cadre de notre étude sur les cultures du blé en Alberta, nous constatons que si la composition des intrants et les niveaux de production semblent varier d'une ferme à l'autre, l'accroissement des concentrations d'ozone dans l'atmosphére s'accompagne de chutes significatives des bénefices et d'accroissements significatifs des coûts.     

Patterns in Technical Efficiency and Technical Change at the Farm‐level in England and Wales, 1982–2002

English and Welsh farm‐level survey data are employed to estimate stochastic frontier production functions for eight different farm types (cereal, dairy, sheep, beef, poultry, pigs, general cropping and mixed) for the period 1982 to 2002. Differences in the relative efficiency of farms are explored by the simultaneous estimation of a model of technical inefficiency effects. The analysis shows that, generally, farms of all types are relatively efficient with a large proportion of farms operating close to the production frontier. However, whilst the frontier farms of all types are becoming more efficient through time because of technical change, it is also the case that the efficiency of the average farm for most farm types is increasing at a slower rate. In addition, annual mean levels of efficiency for most farm types have declined between 1982 and 2002. The factors that consistently appear to have a statistically significant effect on differences in efficiency between farms are: farm or herd size, farm debt ratios, farmer age, levels of specialisation and ownership status.     

Imposing regularity conditions on a system of cost and factor share equations

Systems of equations comprising cost functions and first-order derivative equations are often used to estimate characteristics of production technologies. Unfortunately, many estimated systems violate the regularity conditions implied by economic theory. Sampling theory methods can be used to impose these conditions globally, but these methods destroy the flexibility properties of most functional forms. We demonstrate how Bayesian methods can be used to maintain flexibility by imposing regularity conditions locally. The Bayesian approach is used to estimate a system of cost and share equations for the merino wool-growing sector. The effect of local imposition of monotonicity and concavity on the signs and magnitudes of elasticities is examined.     

Estimation of Treatment Effects of Recombinant Bovine Somatotropin Using Matching Samples

The production and profit impacts of recombinant bovine somatotropin (rbST) on select New York dairy farms were estimated using data over the years 1994 through 2004, by comparing matching farms that use and do not use rbST. The use of rbST increases milk production per cow and decreases the cost of production per hundredweight of milk. The cost penalty (cost reduction) is $0.39 per hundredweight for those currently using rbST to stop using rbST, while the average treatment effect is $0.73.     

Estimation of Profit Functions When Profit is Not Maximum

This paper deals with derivation and implications of profit functions when profit is not maximum due to the presence of either technical inefficiency or allocative inefficiency, or both. We show that input demand and output supply, elasticities, and returns to scale are, in general, affected by these inefficiencies. We also show that the overall profit efficiency is not necessarily the product of technical and allocative efficiencies, meaning that technical and allocative inefficiencies are not necessarily independent. Estimation techniques are developed for both cross-sectional and panel data models. Working of the model is illustrated using a panel of 60 salmon farms.