Off‐farm work and technical efficiency on U.S. dairies

In this study, we investigate the impact of an increase in farm households’ off‐farm work on technical efficiency (TE) of U.S. dairies. We present a theoretical framework that implies that an increase in farm household off‐farm work decreases TE. We use two nationally‐representative samples of U.S. dairies (2010 and 2005 Agricultural Resource Management Surveys) and a parametric approach (stochastic frontier analysis) to empirically test the hypothesis. Results are generally consistent with the hypothesis and show that an increase in off‐farm work by the farm household is associated with a significant decrease in TE. In addition, results show that there is a statistically significant difference in TE between small, medium, and large farms. Small farms are associated with significantly higher off‐farm work and have lower TE than large farms, which implies that less off‐farm work by households with larger farms is at least partially responsible for the evidence of economies of scale in the U.S. dairy industry.     

Why small farms persist? The influence of farmers’ characteristics on farm growth and development. The case of smaller dairy farmers in NZ

Human capital is an important resource in primary production impacting on farmers’ decisions and actions. Given their current and expected economic environment, farmers must use their human capital in mapping out a trajectory for their farm. This study considers particular aspects of farmers’ human capital and its influence on farm growth, or lack of it. Farmers’ characteristics as expressed through their personality, intelligence and objectives are the main human capital aspects considered in a sample of smaller NZ dairy farms. They are somewhat typical of western farmers working on smaller farms. They can be broadly classed into Expanders, Maintainers and Retractors. It is hypothesised each group will have distinct and different personal characteristics and these influence the farmers’ choice of trajectory. This is in addition to purely economic factors. It is also hypothesised the characteristics influence the farmers’ choice of development strategy and how challenges to the strategy are viewed. The data collected from the small dairy farms support the hypotheses suggesting the design of policy and extension programs must allow for these human capital drivers. Using past data, it is also shown aspects of human capital are different in large farms emphasising the same conclusion.     

Factors affecting farm growth intentions of family farms in mountain regions: Empirical evidence for Central Switzerland

Family farms in mountain regions are undergoing a progressive structural change and an ongoing shift in the allocation of production factors land, capital and labor. In Switzerland, various policy measures influence the re-allocation of these production factors. To understand the effectiveness of these schemes and to assess future farm structural change, it is useful to analyze the underlying drivers which support and hinder the emergence of individual farm growth strategies. We study the family farms’ growth intentions using a logistic regression model based on a combination of census and survey data on family characteristics from two mountain case study regions in Central Switzerland. Factors supporting farm growth intentions are the relative change in farm size in recent years, farm related sunk costs, farm diversification and farm size. We found no support for the hypothesis that farm growth intention is also influenced by the perceived personal situation represented by indicators for the perceived workload, psychological stress and financial problems. In addition, off-farm labor did not prevent farmers from stating growth intentions. Our empirical findings suggest that (i) the most important factors which support farm growth intentions correspond with factors driving observed patterns of structural change; (ii) limited availability of family labor may result in a new critical threshold for farm growth strategies; (iii) aims and non-pecuniary preferences of farmers will impede a rapid structural change in the near future.     

Professional urban agriculture and its characteristic business models in Metropolis Ruhr,Germany

‘Low-cost specialization’, ‘differentiation’, and ‘diversification’ are three overarching business models of professional urban agriculture in developed countries. Manifold city-adjusted farm activities belong to these business models resulting in the characteristic farm heterogeneity of urban areas. This paper makes use of the business models as tool for a geo-statistical analysis to spatially investigate farming patterns in reference region Metropolis Ruhr, Germany. Additional farm interviews substantiate findings of the geo-statistical analysis by focusing on horticulture as a common farm activity towards ‘low-cost specialization’, direct marketing and participatory farming belonging to ‘differentiation’, and equestrian services as a representative of the ‘diversification’ business model. These farm activities and underlying business models concentrate and tend to spatially cluster in the metropolitan’s center where population density is highest and farmland proportion is lowest. Agriculture plays a significant role in Metropolis Ruhr cultivating about one-third of the metropolitan area, but on-going loss of farmland and short-term lease of land affect farms considerably by complicating access to land. Most differentiated and diversified farms require certain amount of farmland to be successful, which is threatened by further farmland losses along with increased competition for the remaining farmland. Long-term planning security is crucial for farms focusing on high added value crops and organic farming. Progressively emerging participatory farming activities demonstrate urban farms’ abilities to innovatively adapt to societal demands. Better knowledge on professional urban agriculture’s farm activities and business models is of importance for farms and their related advisory services to address the urban context in farm development strategies more accurately, but also for public authorities’ planning and policies in land-related decision making. Economic viability of professional urban agriculture is the key requirement for additional social, environmental, and landscape functions within urban areas.     

Herd Growth,Farm Organisation and Subsidies in the Dairy Sector of Russia and Kazakhstan

Initially taken as a template for farm restructuring after the demise of collective agriculture, the ‘Western family farm model’ has taken root in the former Soviet countries only belatedly and incompletely. We examine dairy structures in Russia and Kazakhstan and analyse the drivers of recent herd growth. We are specifically interested in the role of farm management and organisation, vertical integration, and the role of policy. Regression analysis based on a sample of 180 randomly selected commercial dairy farms, using an innovative simultaneous equation framework, shows that better herd management and access to milk marketing contracts were more effective in stimulating herd growth than current subsidy payments. We do not find evidence that milking plants belonging to corporate entities or even supra‐regional agroholdings grow more substantially than medium‐sized individual farms. Twenty‐five years after the end of central planning, structural change among commercial dairy farms in Russia and Kazakhstan appears similar in many ways to the patterns observed in the West more recently: smaller farms catch up in terms of herd growth and classical family‐run operations coexist with or even emulate vertically integrated agribusinesses based on hired labour. In moving toward this ‘new normal’ of farming structures, commercial dairy farms in Russia may even be a few steps ahead of their Western counterparts. At the same time, the still sizeable but stagnating group of subsistence producers in rural households finds no equivalent in the West.     

How to define and study farmers' management capacity: theory and use in agricultural economics

Textbooks and articles on farm management stress the importance of the management capacity of the farmer with respect to his farm results. However, explicit definitions together with an elaboration of this concept are hard to find. In this article, aspects of management capacity are grouped into: (1) personal aspects, consisting of fanner's drives and motivations, fanner's abilities and capabilities and his biographical facts such as age and education; and (2) aspects of the decision-making process, consisting of practices and procedures with respect to planning, implementation and control of decisions at the farm. Empirical studies on the role of management capacity in relation to farm results are reviewed. Frontier production functions are widely used in recent literature to estimate technical and economic efficiency of farms. However, in explaining differences in efficiency most studies do not go further than adding a biographical variabk (e.g., level of education). This study concludes that a next step would be to include aspects of the decision-making process. Longitudinal on-farm observations, which give possibilities for studying the dynamic aspects of the decision-making, are suggested to further analyze the concept of management capacity.     

Can technology help achieve sustainable intensification? Evidence from milk recording on Irish dairy farms

This article explores the potential of a farm technology to simultaneously improve farm efficiency and provide wider environmental and social benefits. Identifying these ‘win-win-win’ strategies and encouraging their widespread adoption is critical to achieve sustainable intensification. Using a nationally representative sample of 296 Irish dairy farms from 2015, propensity score matching is applied to measure the impact of milk recording on a broad set of farm sustainability indicators. The findings reveal that the technology enhances economic sustainability by increasing dairy gross margin and milk yield per cow. Furthermore, social sustainability is improved through a reduction in milk bulk tank somatic cell count (an indicator of animal health and welfare status). Conversely, milk recording (as it is currently implemented) does not impact farm environmental sustainability, represented by greenhouse gas emission efficiency. While the study shows that milk recording is a ‘win-win’ strategy, ways of improving current levels of utilisation are discussed so that milk recording achieves its ‘win-win-win’ potential in the future.     

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 impact of agricultural policy on farm income concentration: the case of regional implementation of the CAP direct payments in Italy

One of the objectives of agricultural policy worldwide concerns the support of farm income. Common Agricultural Policy direct payments (DPs) are the main instruments to support farm income in the European Union. This article addresses their role in the concentration of farm income. This is done by calculating the Gini coefficient and its disaggregation in a large sample of Italian farms in the period between 2006 and 2007. Although this approach has been used to develop ex‐post analysis in previous studies, this article is innovative given that it is used here in an ex ante analysis aimed at evaluating the likely impact of a recent reform proposal. This latter requests changing the current model to a regional model of DPs application to make payment rates (i.e., payment per hectare) homogeneous among farms in the same region. The analysis shows that DPs and farm incomes are both very concentrated but that DPs allow for an income concentration reduction in Italian farms. The shift to a regional implementation reduces DPs concentration and, to a limited extent, farm income concentration. Of the considered regionalization scenarios, those that redistribute DPs among regions are the most effective in reducing concentration. The extension of the Gini considered approach to an ex ante setting seems effective because it provides insights that could feed the policy debate regarding the forthcoming reform.     

Analysing Production Technology and Risk in Organic and Conventional Dutch Arable Farming using Panel Data

This paper compares the production technology and production risk of organic and conventional arable farms in the Netherlands. Just–Pope production functions that explicitly account for output variability are estimated using panel data of Dutch organic and conventional farms. Prior investigation of the data indicates that within variation of output is significantly higher for organic farms, indicating that organic farms face more output variation than conventional farms. The estimation results indicate that in both types of farms, unobserved farm‐specific factors like management skills and soil quality are important in explaining output variability and production risk. The results further indicate that land has the highest elasticity of production for both farm types. Labour and other variable inputs have significant production elasticities in the case of conventional farms and other variable inputs in the case of organic farms. Manure and fertilisers are risk‐increasing inputs on organic farms and risk‐reducing inputs on conventional farms. Other variable inputs and labour are risk increasing on both farm types; capital and land are risk‐reducing inputs.     

中国式家庭农场规模效益分类研究

家庭农场是现代农业生产中最有效率的经营模式之一。文章对我国家庭农场概念及现状进行深入分析,并对家庭农场规模的经济效益、成本降低效益以及风险降低效益进行详细分析。该文通过构建规模效益分类模型,运用经济学均衡理论研究影响农场规模的主要因素,应用层次分析方法得到影响规模效益的因素。利用聚类分析方法,对我国农场的规模效益进行分类研究,为我国发展家庭式农场提供参考。     

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.     

An Analysis of U.S. Aggregate Output Response by Farm Size

Past empirical evidence on supply response by size of farm in the U.S.A. provides no clear basis to conclude that supply elasticities vary systematically with farm size. In this paper, the central hypothesis that no systematic relationship exists between production response to price and size of farm is rejected. U.S. farms are disaggregated into nine economic size categories and own-price supply elasticities are measured for per farm and total agricultural output. Empirical results from this study suggest that supply response does vary systematically by farm size, with smaller farms exhibiting greater elasticities than midsized farms.     

‘Good’ farm management employment: Emerging values in the contemporary Irish dairy sector

The number of Irish dairy farms with herds greater than 100 cows has increased from 4.5 % in 2005 to 23 % in 2016. The abolition of the dairy quota in 2015 has led to predictions that this trend will continue and that an additional 6000 people will be required to work on dairy farms by 2025. Ownership of farms is esteemed, with farm employment perceived as a poor second option, so it is necessary to identify possible routes towards creating 'good' farm employment relationships. This paper explores the social, cultural and economic values of employers and employees in the context of early experiences of farm employment in post-quota Ireland. Using narrative analysis, this study found that employees gained esteem and pride from acquiring managerial responsibilities and receiving recognition for their abilities and accomplishments from their employers. Greater social recognition of employ’ abilities by peer groups and in networks (social capital) cemented ‘good employee’ status. Employers, in a context of unprecedented dairy production expansion, emphasised the need for and demonstrated changing of power structures to open up the farm to new forms of influence. However, employers’ reflexivity in support of employment relationships was undermined overall by what the management literature calls a weak ‘rewards system’ for employees. Without the supportive scaffolding of a formalised rewards system, relational gestures of responsibility-devolution and employ’ appreciation of employees may be insufficient to sustain quality farm management employment in the long term. Inevitably, this diminishes the attractiveness of farm employment, limiting the drawing of talent not only into farm employment but into associated capacity-building programmes.     

The growth of family farms in Hungary

The article investigates the validity of Gibrat's Law for Hungarian family farms using FADN data collected between 2001 and 2007. Gibrat's Law states that the growth rate of firms will be independent of their initial size. Regression results allow us to reject Gibrat's Law for all quantiles. Evidence suggests that smaller farms tend to grow faster than larger ones. Results do not support the hypothesis of “disappearing middle” in Hungarian agriculture. We study a number of socio‐economic factors that can help to explain farm growth. We find that total subsidies received by a farm and the farm operator's age are the most significant factors correlated with farm growth.     

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.     

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.     

The impact of integrated aquaculture–agriculture on small-scale farms in Southern Malawi

Sustainable agricultural intensification is an urgent challenge for Sub-Saharan Africa. One potential solution is to rely on local farmers' knowledge for improved management of diverse on-farm resources and integration among various farm enterprises. In this article, we analyze the farm-level impact of one recent example, namely the integrated aquaculture–agriculture (IAA) technologies that have been developed and disseminated in a participatory manner in Malawi. Based on a 2004 survey of 315 respondents (166 adopters and 149 nonadopters), we test the hypothesis that adoption of IAA is associated with improved farm productivity and more efficient use of resources. Estimating a technical inefficiency function shows that IAA farms were significantly more efficient compared to nonadopters. IAA farms also had higher total factor productivity, higher farm income per hectare, and higher returns to family labor.     

The Farm Diversification Discount

This article estimates the effect of diversification on farm values, where farms are valued relative to the median specialized farm having the same enterprise. Using data from the Agricultural Resource Management Study, the estimated diversification discount in agriculture is similar to the discount found for corporate firms. The results show that diversified crop/livestock farms had a diversification discount of 5.8% in comparison with specialized crop or livestock farms from 1999 to 2001. Commodity diversified farms had a diversification discount of 9.4% in comparison with commodity specialized farms.