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.     

The Influence of Biodiversity Provision on the Cost Structure of Swedish Dairy Farming

Multi‐functionality and the provision of eco‐system services are politically highly prioritised aspects of farming. This study uses a Symmetric Generalised McFadden cost function to analyze the relationship between costs of production and the provision of biodiversity for Swedish milk farms. Biodiversity indicators are based on the number of valuable plant species present at the farm and are modeled as an output in the cost function. The results show that the marginal cost of biodiversity increases with higher provision, and that an increased provision of biodiversity also increases the costs of market commodities such as milk and beef. The upward slope of the marginal cost of biodiversity and its competitive relationship with market goods questions the efficiency of support schemes based on voluntary programmes with a flat‐rate per hectare compensation. Instead, the results support targeted environmental policy schemes with zonings and/or the use of biodiversity indicators.     

Impacts of Norwegian Milk Quotas on Output Growth: A Modified Distance Function Approach

Quota regulations that prevent output expansion of farms and reallocation of output between farms can cause lower growth in output and productivity. The aim of this study was to explain the output growth rate of Norwegian dairy farms since 1976, and to decompose it into output, input, socioeconomic and technical change components. Instead of using the standard distance function approach for multi‐output technologies, we use a growth rate formulation, which automatically removes the farm‐specific effects. This formulation also helps to impose non‐negativity constraints on marginal products of inputs (input elasticities), which are often violated for many observations, especially when flexible functional forms are used. The farm‐level panel data cover three periods: before the quota scheme was introduced (1976–1982); the period with the most output‐restricting quota scheme (1983–1996); and the period with a more flexible quota scheme (from 1997 onwards). Results show that the milk quota regulations had a significant constraining effect on output growth, in particular on milk output in the period 1983–1996. Furthermore, the output mix has shifted towards meat production for the average farm. What emerges from this study is that output growth and technical change are negatively influenced by policy aims where productive performance has not been the primary objective, and that there is scope for increased farm growth if the quota regime is liberalised.     

Exploring Farm Investment Behaviour in Transition: The Case of Russian Agriculture

This paper analyses the investment behaviour of Russian farms during the period of economic stabilisation that followed Russia’s financial crisis of 1998, and is the first to apply the error‐correction investment model to describe farms’ investment behaviour in the transitional context. Additionally, the paper employs the error‐correction and the adjustment‐cost model to test for differences in the investment behaviour between various farm categories. The results show that in general Russian farms exhibited an error‐correcting behaviour in the period under investigation. From 1999 to 2005 the output–capital gap was closed by an average rate of 10% per year. Estimates of the adjustment‐cost model show that Russian farm investments are very sensitive to the sales–capital ratio, suggesting that Russian farms exhibit increasing returns to scale and positive expectations about future revenues. Yet, such farm characteristics as ownership structure, access to input markets and also regional specifics were found to be decisive for farm investment not only in the short but long term too. Finally, the results show that the adjustment‐cost model is adequate for the evaluation of differences in short‐term investment behaviour, whereas it is noticeably less powerful for investigating differences in the farms’ long‐term investment behaviour.     

The firm size,farm size,and transaction costs: the case of hazelnut farms in Turkey

This study analyzes the effects of transaction costs on the size of hazelnut farms in Turkey. The study finds that higher land slope and higher variance of rain, as transaction‐cost‐increasing natural effects, lead to smaller hazelnut land holdings. High slope and weather variation can increase the costs of monitoring the laborers, make moving inputs or output up and down harder, limit the use of machinery, and reduce contractual performance of labor contracts. For farm production functions, land is a complex input with measurable interactions with nature. Contrary to common production theory approaches that take natural properties of land as given, the study develops a production function that incorporates natural properties, such as, slope and rain variance. The study utilizes two separate data sets for the estimations. The first data set explores the characteristics of hazelnut farmers, while the second one analyzes the regional characteristics of hazelnut farms.     

Determinants and impact of sustainable land management (SLM) investments: A systems evaluation in the Blue Nile Basin,Ethiopia

Ongoing debate over water management along the Blue Nile and land degradation in Ethiopia emphasizes the need for efficiency gains in agricultural production through sustainable land management (SLM). However, previous SLM studies overlook the tradeoffs involved in maintaining SLM investments over time. We address this limitation by combining a household survey that evaluates the economic impacts of SLM investments and maintenance, with a hydrological model that explores location‐specific infrastructure effects. We then use a multi‐market model to evaluate the impacts of alternative SLM investments on agricultural production, prices, and incomes over time. Analysis suggests SLM investments must be maintained for at least seven years to show significant increases in value of production, and that terraces on moderate and steep slopes are most effective in increasing agricultural yields. However, the benefits of terracing do not outweigh the cost of foregone off‐farm labor opportunities, nor compensate for lower agricultural prices from increased supply. Thus, SLM investments must be paired with other input and infrastructure investments, as well as subsidies for initial labor costs, in order to incentivize adoption and long‐term SLM maintenance.     

Effects of subsidies in Russian dairy farming

This study develops a microeconometric model of specialized dairy farms in the Moscow region using panel data over the period 1995–2001. The model is used to analyze the role of subsidies on profit as well as input and output allocation. Theoretical conditions for short‐term profit maximization are not rejected by the data. Differences between farms allow for a fixed‐effect specification. The dairy producers in the region demonstrate a low responsiveness to market signals, but technology change becomes important. Labor, land, and livestock had low shadow prices. Although subsidies have a distorting effect on the input–output mix, this study shows they relieve the credit constraints on dairy farms and have an important positive influence on farm profit.     

The Simple Analytics of Transferable Production Quota: Implications for the Marginal Cost of Ontario Milk Production

Using a competitive dynamic optimization model, the difference between unused and used industrial milk quota values is shown to give an exact measure of the annual rental rate of production quota. Knowledge of the rental rate of production quota and output price can be used to impute the marginal cost of industrial milk production. However, if there is a transfer tax on production quota sales, the imputation of the equilibrium rental value of quota depends on the elasticity of demand and supply for quota as well as the level of the transfer assessment. The marginal cost of Ontario milk production is estimated for each year from 1980–81 to 1994–95, based on unused and used quota values. However, the imputed marginal cost estimates are not totally satisfactory. The results suggest that caution should be exercised in using the difference between unused and used quota prices as a measure of the rental rate of industrial milk production quota.     

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.     

Technical efficiency and impact of environmental regulations in farrow-to-finish swine production in Taiwan

This article demonstrates how technical efficiency and the impact of environmental regulations of Taiwanese farrow‐to‐finish swine production can be estimated in the presence of undesirable outputs. The issue of measuring technical efficiencies while considering undesirable outputs has been addressed by past studies. But the proper method of including undesirable outputs has always been a subject of debate. This article develops a data envelopment analysis (DEA)‐based model that includes undesirable outputs. The technologies of desirable output production and undesirable output control are considered simultaneously. This allows one to transform undesirable output into desirable output, whereby a traditional Shephard distance function can be used to measure technical efficiencies. An approach to measuring the impacts due to environmental regulations is then derived. Empirical results show that larger farms are more technically efficient than small‐sized farms, but no clear conclusions can be reached for the measures of regulatory impact among farms with different sizes. On average, the sample farms incurred an opportunity cost due to environmental regulations equivalent to 9.8% of market value. Opportunity costs rise with efficiency.     

Specialization,diversification, and productivity: a panel data analysis of rice farms in Korea

This article examines the microeconomics of productivity associated with specialization/diversification in production activities, with an application to Korean rice farms. Korean rice farms tend to be very small and highly specialized. Our analysis examines the productivity effects associated with both farm size and farm specialization/diversification in Korean agriculture. Relying on farm‐level panel data, the analysis studies farm productivity in a multi‐input multi‐output context, accounting not only for changes in inputs and technical change in rice production, but also for the role of diversification in the production of other crops in current and previous periods. We find positive but small productivity gains from farm diversification. These gains come mostly from complementarity effects across farm outputs, with minimal effect of scale economies. The positive complementarity effects work against nonconvexity effects, which provide strong productivity incentives for rice farms to specialize.     

Rural credit and agricultural supply in Brazil

The objective of this study is to determine the financing impact of total expenditure on the use of agriculture inputs (fertilizers, labor, and pesticides), and the output of cotton, rice, beans, corn, soybean, and wheat in Brazil. We study the period 1976–2005. The analysis is based on duality applied to the production theory. The output supplies and conditioned input demands are estimated from a translog multi‐output, multi‐input restricted profit function, where the total production credit is used as proxy of the total expenditure. Farmer expectations with respect to crop prices are incorporated to the estimation based on the quasi‐rational expectation model. The output and input responses to the total expenditure are positive and statistically significant except for cotton, wheat, fertilizer, and pesticides. The short‐run output supply response to own prices is inelastic, except for wheat, which presents elastic response to its price. Acreage has a positive impact on the output supply and it is influenced by land productivity. The main conclusion is that farmers face budget restrictions to purchase inputs, and a government credit program might increase the agricultural supply.     

Interprovincial Reallocation of Market Sharing Quota for Industrial Milk

This paper examines allocations of industrial milk quota across provinces in Canada under two hypothetical scenarios. The study focuses on the case where considerable reallocation of production occurs across farms and provinces due to changes in the distribution of quota holdings. The allocations are determined using linear programming (LP) analysis, where the objective of the optimization problem is to minimize the delivered cost of products such as cheese, butter, ice cream, and yogurt. The LP model seeks to meet provincial targets for domestic disappearance on a milk-equivalent basis in the short to medium term, where limits are imposed on the maximum achievable growth of production and processing capacity in any one I he conclusions are that reallocation of existing quota across farms and provinces has a potential to reduce considerably the costs of industrial milk production and the cost of transporting manufactured products.     

Marginal abatement costs of greenhouse gas emissions: broadacre farming in the Great Southern Region of Western Australia

Broadacre agriculture is a major emitter of greenhouse gases (GHG). To improve efficiency of climate change policies, we need to know the marginal abatement costs of agricultural GHG. This article combines calculations of on‐farm GHG emissions with an input‐based distance function approach to estimate the marginal abatement costs for a broadacre farming system in the Great Southern Region of Western Australia. The results show that, in the study region, the average marginal abatement cost for the 1998–2005 periods was $29.3 per tonne CO₂‐e. Farms with higher crop output shares were found to have higher marginal abatement costs. Overall, our results indicate that broadacre agriculture is among the lowest cost sources of GHG mitigation.     

Analysing Farm‐specific Payments for Norway using the Agrispace Model

Norway maintains a complex system of activity or type specific coupled payments which account for a large share of farm income. Most of the payment rates are negatively related to farm size and are higher in remote areas compared to central regions. We present and use a newly developed recursive‐dynamic multi‐commodity model (Agrispace) with CES production functions depicting regional farm clusters derived from the full farm population. Using this model, we simulate impacts of current and alternative subsidy policies on production, prices, input use, income and farm structural change. Mapping cluster results to each farm along with behavioural rules allows estimation of individual profits and farm exits. Our results indicate that, in the short run, the current policy regime seems to support the policy objective of maintaining a variety of farms in all parts of Norway. In the long run, farm structural change is less affected by a policy reform that leaves total support levels unchanged.     

What Drives Marginal Abatement Costs of Greenhouse Gases on Dairy Farms? A Meta‐modelling Approach

This paper examines the relationships between the marginal abatement costs (MAC) of greenhouse gas (GHG) emissions on dairy farms and factors such as herd size, milk yield and available farm labour, on the one hand, and prices, GHG indicators and GHG reduction levels, on the other. A two‐stage Heckman procedure is used to estimate these relationships from a systematically designed set of simulations with a highly detailed mixed integer bio‐economic farm‐level model. The resulting meta‐models are then used to analyse how MAC vary across farm‐level conditions and GHG measures. We find that simpler GHG indicators lead to significantly higher MAC, and that MAC strongly increase beyond a 1–5% emission reduction, depending on farm attributes and the chosen indicator. MAC decrease rapidly with increasing farm size, but the effect levels off beyond a herd size of 40 cows. As expected, the main factors driving gross margins per dairy cow also significantly influence mitigation costs. Our results indicate high variability of MAC on real life farms. In contrast to time consuming simulations with the complex mixed integer bio‐economic programming model, the meta‐models allow the distribution of MAC in a farm population to be efficiently derived and thus could be used to upscale to regional or sector level.     

Estimating shadow price for symbiotic nitrogen and technical efficiency for legume‐based conservation agriculture in Malawi

Determining the value of legumes as soil fertility amendments can be challenging, yet this information is required to guide public policy and to incentivise prescribed land‐management practices such as conservation agriculture. We use a directional input distance function (DIDF) to estimate shadow prices for symbiotic nitrogen and the technical efficiency for mixed maize‐legume production systems in Malawi. The shadow prices reflect the trade‐off between fertiliser nitrogen and symbiotic nitrogen required to achieve a given quantity of output. Our results reveal considerable technical inefficiency in the production system. The estimated shadow prices vary across farms and are, on average, higher than the reference price for commercial nitrogen. The results suggest that it would be beneficial to redesign the current price‐support programs that subsidise chemical fertilisers and indirectly crowd‐out organic soil amendments such as legumes.     

The Value of Dairy Quota under a Commercial Export Milk Program

This paper argues that under a commercial export milk program, the market value of quota will be determined by the spread between the domestic market price and the export price, rather than the conventional wisdom that it is determined by the spread between the domestic milk price and the marginal cost of production. Under this new economy, it is argued that ultimately the market price of dairy quota will be priced independently of firm marginal costs, which implies that low-cost (or high-margin) producers will not hold an economic advantage in bidding for quota over higher-cost producers. Regression results are consistent with the hypothesized positive relationship between quota values and the difference between domestic and export milk price. The average export price has generally increased over time and is approximately equal to the marginal cost for an average producer. The results have implications for a World Trade Organization (WTO) challenge. New Zealand and the United States feel the domestic program acts as an export subsidy by cross-subsidizing production of commercial export milk. The results here suggest that the prices for the filled export contracts are approximately the marginal cost of production for the average producer and not lower, as suggested by the challenge. Export contracts were found to have higher price risk than domestically produced milk. The risk is compounded by the short-term nature of most export contracts. The increase in risk for the commercial export milk program (CEM) implies that it is unlikely many farmers will greatly diversify into CEM contracts unless the uncertainty is reduced.     

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.     

Damage Control Productivity: An Input Damage Abatement Approach

This paper compares the value of the marginal product of three different pesticides from different specifications of the production function. The specifications are the output damage abatement specification proposed by Lichtenberg and Zilberman, a general input damage abatement specification and a traditional production function. These specifications are estimated on panel data of specialised Dutch arable farms over the period 1989–1992, using Generalised Maximum Entropy estimation. Results of the input damage abatement specification show that pesticides have different impacts on individual productive inputs, although statistical evidence is weak. The output damage abatement specification produces statistically more significant relations, but imposes restrictions that are only partly supported by the data. It is also found that estimation of a quadratic traditional production function, that treats damage abatement inputs in the same way as productive inputs, does not lead to over estimation of the value of the marginal product as previous authors have hypothesised.