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.     

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.     

Sources of productivity growth on Finnish dairy farms—application of an input distance function

The objective is to examine sources of productivity change on Finnish dairy farms in the 1990s. The decomposition of productivity change into technical and technical efficiency change is widely recognized but it neglects the scale effect. Generalized decompositions incorporating all three components are calculated for a sample of Finnish dairy farms from 1989-2000. This period is of interest because of the drastic change in agricultural policy when Finland joined the European Union (EU) in 1995. The results indicate that productivity growth was on average low, approximately 0.15% per year. Neutral technical change was identified as the most important source of productivity growth (1.1%). Technical efficiency decreased by almost 0.5% annually. The contribution of the scale effect in productivity change increased towards the end of study period.     

Strategies of disadvantaged mountain dairy farmers as indicators of agricultural structural change: A case study of Murau,Austria

The decline in the number of farms, seen as one of the main dimensions of agricultural structural change, is presumed to predominantly take place in areas with farming difficulties, such as the disadvantaged European Alpine mountain regions. Especially regarding dairy farms, facing profound changes due to pending EU policy reforms, many questions remain unanswered concerning structural change patterns. This paper presents a follow-up qualitative study that for the first time visualizes a pattern of farm household strategies among Austrian dairy farmers in a specific particularly disadvantaged mountain region. The pattern contains disengaging farms, professionalizing farms, and three differing types of stable reproduction farms. The examination shows that this revealed typology provides a suitable framework for the ex ante indication of agricultural structural change.     

Uncertain Land Availability and Investment Decisions: The Case of Dutch Dairy Farms

Within the EU, uncertainty about the possibility of acquiring land can be quite significant for individual farmers in sectors like dairy farming. Farm‐level investment decisions are commonly made ex‐ante, when the farmer is not certain about the possibility of purchasing land. This possibility is realised only in a future period. In this paper, we have developed and applied a simple two‐period model in which a profit‐maximising farmer, facing uncertainty about the possibility of acquiring land, has to choose the optimal mix of capital (buildings) investment and land endowment. We illustrate the model using data from Dutch dairy farms.     

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.     

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.     

Catching Up or Falling Behind in European Agriculture: The Case of Milk Production

The paper explores and analyses the catching up and falling behind processes in the European dairy sector over the period 2004–2011, using a stochastic metafrontier multiple output distance function for 24 EU Member States. The metafrontier estimates reveal considerable productivity differences in milk production across the EU at the regional (NUTS‐2) level. Milk yield per cow is the highest in the old Member States, especially in those regions located in the northwest of the EU, while the lowest productivity is observed in Eastern Europe. The same structure was found for both the TFP (Total Factor Productivity) levels and TFP growth. Moreover, the results for technical change suggest that farm sizes are not optimal in many regions in Central and Eastern Europe from a dynamic perspective. The comparative analysis suggests that in the new compared to the old Member States, fewer farms could benefit from the movement of the frontier. Moreover, there are no signs that poorly performing farms are catching up with the best performing farms in the EU regions/countries.     

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.     

Credit constraints and smallholder dairy production in the East African highlands: application of a switching regression model

Accurate assessment of farmers' credit constraint condition is important in order to understand the circumstances under which credit would have its greatest impact. In this study a switching regression model was used to determine the impact of credit on smallholder dairy farms in the East African highlands using farm level data from Ethiopia and Kenya. Farmers were classified as credit constrained or credit non-constrained based on their responses from the farm level surveys. No consistent relationship was found between farmers' credit constraint condition and their borrowing status. Most of the variation in milk output per farm was explained by the number of crossbred milking cows in the dairy herd. As credit is likely to facilitate investment in crossbred dairy cows it will have substantial impacts on smallholder dairy farms especially if it is targeted to credit constrained farms.     

Markups,organic agriculture and downstream concentration at the example of European dairy farmers

A competitive environment, highly concentrated processing and retailing sectors as well as increasing decoupling of direct payments from production volumes and the area under cultivation incentivizes farmers to find alternative ways to improve their bargaining position towards downstream companies. This article explores the possibilities of organic agriculture to enhance the bargaining power of farmers along with the role of concentration in downstream industries. Using a dataset with more than 200,000 observations from approximately 40,000 dairy farms, I estimate markups of price over marginal cost in dairy farming as a measure of market power in the EU. The results show that organic farmers achieve a significant markup premium over conventional farmers. With increasing market shares of organic milk in total milk production markups of conventional farmers diminish whereas those of organic farmers are unaffected. Farm-level markups decrease with increasing market shares of medium-sized dairy processors and increase with increasing market shares of large processors. The presence of large multinational retail chains shows an adverse impact on farmers’ markups.     

Droughts and farms’ financial performance: a farm‐level study in New Zealand

We quantify the impacts of droughts in New Zealand on the profitability of dairy, sheep and beef farms using a comprehensive administrative database of all farms in New Zealand. For dairy farms, we found that drought events have positive impacts on dairy farms’ revenue and profit in the year of the drought. This effect is most likely attributable to drought‐induced increases in the export price of milk solids, as New Zealand is the market maker in this global market and almost all domestic dairy production is exported. All of these quantified impacts, however, are not very large, suggesting that, at this point in time, droughts have a fairly moderate impact on New Zealand dairy and sheep–beef businesses.     

Feed use intensification and technical efficiency of dairy farms in New Zealand

In recent years, the traditionally pasture‐based dairy farms in New Zealand have become more intensive by using higher proportions of supplementary feed. This trend has been attributed to a range of factors, such as productivity enhancement, overcoming pasture deficits and the improvement of body condition scores. However, there is a lack of knowledge as to how feed use intensification affects the technical efficiency of dairy farms in New Zealand. This paper addresses the research gap by estimating the impact of feed use intensification on the technical efficiency of New Zealand dairy farms, using a fixed effects stochastic production frontier model and a balanced panel of 257 farms from 2010 to 2013. The empirical results show that technical efficiency on New Zealand dairy farms is positively and significantly influenced by feed use intensification, herd size and milking frequency.     

THE COST OF DIFFERENTIAL GENDER ROLES IN AFRICAN AGRICULTURE: A CASE STUDY OF SMALLHOLDER BANANA-COFFEE FARMS IN THE KAGERA REGION,TANZANIA

In 1982/83, due to either economic pressure or profit motivation, 30 per cent of the men in a random sample of 200 smallholder banana-coffee farms in the Kagera region of Tanzania had adopted a more liberalised division of labour, and engaged in operations and horticultural farm enterprises that traditionally are the responsibility of women. A linear programming model is used to estimate the impact of gender roles on farm incomes and resource productivity among the sample. The results suggest that by liberalising sex roles, cash incomes could increase by up to 10 per cent while the productivity of labour and capital would improve by 15 per cent and 44 per cent respectively. In view of the economic benefits to be reaped, it is recommended that, within the framework of economic adjustment, African governments should launch campaigns to enhance this process because gender roles impair efficiency.     

Technology choice and efficiency on Australian dairy farms*

Deregulation of the Australian dairy industry, specifically the removal of price subsidies to ‘market milk’, as well as ongoing drought in many dairy regions, has placed considerable pressure on farm cash income and a search for ways in which dairy farms can be made to operate more efficiently. Using traditional farm survey data and a unique biannual data set on farm technology use, this paper estimates a stochastic production frontier and technical efficiency model for dairy farms in New South Wales and Victoria, determining the relative importance of each input in dairy production, the effects of key technology variables on farm efficiency, and overall farm profiles based on the efficiency rankings of dairy producers. Results show that production exhibits constant returns to scale and although feed concentration and the number of cows milked at peak season matter, the key determinants of differences in dairy farm efficiency are the type of dairy shed used and the proportion of irrigated farm area. Overall farm profiles indicate that those in the ‘high efficiency group’ largely employ either rotary or swing‐over dairy shed technology and have almost three times the proportional amount of land under irrigation.     

Deregulation reforms,resource reallocation and aggregate productivity growth in the Australian dairy industry

Deregulation reforms in the Australian dairy industry had long‐lasting repercussions for Australian agriculture and the wider Australian economy. Using farm‐level data from 1979 to 2013, we investigate the effect of these reforms on productivity in the Australian dairy industry which arose from correcting resource misallocation between farms and across segregated state milk markets. Our results demonstrate that after the dairy reforms in 2000, relative market share shifted from less productive farms to more productive ones, and between farms using different production systems – generating additional productivity gains for the farm sector, but imposing some costs on downstream manufacturers by strengthening the seasonality of milk supply. Lessons from the Australian experience provide timely guidance for those countries exploring deregulation now or in the future to improve the industry‐level agricultural productivity growth through facilitating resource reallocation from less efficient to more efficient farms.     

Comovement of dairy product futures and firm value: returns and volatility

This study investigates the exposure of dairy firm stock prices to the prices of dairy product futures, in terms of returns and volatility, from May 2013 to April 2018. Stock price returns are regressed against an index of the futures price returns to four dairy products – milk, cheese, butter and dry whey – to isolate the effects of the dairy futures price returns. Dairy product futures price returns are found to be significant in the regression in the first three years of the sample period, with a mean coefficient of ?0.024. Using the Diebold‐Yilmaz volatility spillover method of forecast error variance decomposition, we show that the volatility of the four dairy product futures accounted for an average of 5.49 per cent of the volatility of dairy stock prices. These results suggest that the prices of dairy firms have minimal exposure to dairy product futures prices. This has implications for dairy firms and investors, who seek to understand volatility and returns in the dairy products and the stocks they trade in, and for policymakers, who seek to control or mitigate undesirable dairy product price volatility.     

Farm technical and environmental efficiency and subsidy redistribution in Ireland: A simulation approach of possible performance and equity effects

We investigate the relationship between EU Common Agricultural Policy environmental payments, and dairy and beef farm level competitiveness and environmental performance. We use an Irish panel of farm level financial data for the years 2000–2017 and apply stochastic frontier analysis. Our estimates identify a positive relationship between technical efficiency and the Green, Low-Carbon, Agri-Environment Scheme for dairy farms, in contrast with the negative relation identified for previous payments of this kind such as the Rural Environment Protection Scheme for both beef and dairy. We then simulate increases in the first type of environmental payments financed through reductions in decoupled payments. We use alternative scenarios for payment redistribution such as flat allocation, allocation to farms with low stocking rates or proportional reallocation of payments. We find that under the second scenario, marginal environmental gains can potentially be achieved for dairy farms. For beef farms, the proportional allocation performs best regarding environmental gains. We also find that under this scenario, the impacts on income inequality can be smoothed for both farm types.     

Persistence of firm‐level profitability in the European dairy processing industry

Based on autoregressive (AR) models and Arellano‐Bond dynamic panel estimation, this article analyses profit persistence in the European dairy processing industry. The sample comprises 590 dairy processors from the following five countries: Belgium, France, Italy, Spain, and the United Kingdom. The AR models indicate that cooperatives which account for around 20% of all firms in the dairy processing sector are not primarily profit oriented. In addition, the results point toward a high level of competition as profit persistence is rather low even if cooperatives are excluded. The panel model reveals that short‐ as well as long‐run profit persistence is influenced by firm and industry characteristics.     

Measuring financial performance on dairy farms

The motivation for this paper was to improve the information provided by the extension service for dairy farming. Databases as the Norwegian Dairy Financial Recording (NDFR) are commonly used for comparative analysis of farms. In the present paper, the problems related to these comparisons are discussed. Four different measures of financial performance are presented. The measures are; the gross margin, extended gross margin, and two different efficiency indexes based on use of data envelopment analysis (DEA). All four measures have advantages and disadvantages. The two gross margins are suitable for ranking farms when evaluating the impact of operative management variables, e.g., disease and miscellaneous welfare enhancing inputs on performance. However, efficiency indexes, which are estimated as ratios of actual and maximum output, given inputs, are more suitable when evaluating the impact of strategic management variables, e.g., concentrate or roughage per litre milk produced on performance.