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The purpose of this paper is to examine the rise in crossbred cow numbers in the US dairy herd. Methods used look at well managed herds to see if crossbreeding provides a management tool that producers are using to maintain profitability.

The authors estimate a Translog stochastic production frontier (SPF) for US dairy farms to examine the competitiveness of crossbred and non-crossbred dairy herds by system and region.

The bottom-line conclusion is that WM or highly efficient crossbred herds solidly compete on a financial basis with larger WM Western Holstein herds, the most technically efficient managed group, based on the SPF results in the authors’ study. The study finds that net return on assets for crossbred herds are not different from Western Holstein herds and that there is no significant difference in amount of milk per cow produced annually.

Because of a need to unmask the advantages of crossbreeding as a technology it was necessary to separate WM herds from poorly managed herds. That was done by frontier estimates that robustly ranked operation and corrected for endogeneity, tested for selectivity bias, and incorporated the NASS survey design.

For the first time, the 2010 Dairy Cost and Returns questionnaire version of the Agricultural Resource Management Survey (Dairy CAR) design allows researchers to expand survey observations to represent the vast majority of the US dairy farm population and to sort dairy farms into crossbred/non-crossbred herds.

Professionals from the dairy sector commonly believe that the results of Global Dairy Trade (GDT) auctions are a good leading indicator for prices of dairy commodities. The purpose of this paper is to test that hypothesis for prices of key dairy commodities (skimmed milk powder (SMP), whole milk powder (WMP), butter and cheddar) in the main dairy markets (the US, EU and Oceania).

The leading properties of the GDT auctions are investigated using vector error correction models (VECM).

The results show that prices at GDT auctions may be treated as a benchmark for global prices of WMP and SMP as they affect prices in all considered markets. However, in case of EU market the relationship with the GDT is bidirectional. GDT prices reveal some leading properties also in cheddar market, however price relationships in this market are much more complex. In case of butter market, GDT can be regarded as a benchmark only for Oceania.

The results of this paper improve knowledge on price transmission in dairy markets, show the role of the GDT auctions in the price setting process, and thus may help professionals from the dairy sector to formulate their price expectations more precisely.

Despite the fact that many professionals from the dairy sector treat GDT auctions as a benchmark, so far their leading properties have not been scientifically proven.

The structural change of the dairy industry has been a long-term process with fewer, larger dairy herds in all regions. The purpose of this paper is to evaluate whether this structural change is leading to less income and wealth equality across dairy farms and how these factors differ across the USA.

Income and wealth inequality of US dairy farms was estimated by Gini coefficients using data from the 2000 and 2010 ARMS dairy costs and returns data. A population-level quantile regression was estimated at decile increments to determine the factors that affect net farm income (NFI) and net worth (NETW) and if they changed across the time periods.

Adjusted-Gini coefficients were estimated and indicated that income inequality was greater than wealth inequality across US dairy farms. Results of the quantile regressions confirm regional differences exist with dairy farms in Mountain regions consistently having lower NFI and NETW relative to farms in the Lake States region when factors such as herd size were equal. Life cycle effects were not observed for NFI, but present within NETW estimates across the ten years.

This analysis estimates industry-specific-adjusted Gini coefficients to determine if income and wealth inequality exist.

Discusses the restructuring of the food production, processing and retailing sectors in the USA. Describes different methods of vertical and horizontal integration that have occurred. Goes on to discuss the consolidation of business in retailing in particular. Refers to the relationships that are being formed between the supermarket chains, for example Wal‐Mart and Kroger, and dominant food‐chain clusters. Considers whether or not smaller retail chains and wholesalers should feel threatened by this consolidation. Takes the dairy sector in the USA as a case study in the restructuring of the retailing and processing sectors.

This article quantifies public sentiment for dairy products using online media and investigates potential relationships between online media, both volume and sentiment, and future prices of Class III milk.

Netbase, an online media listening platform, was used to quantify US generated online media sentiment and number of mentions regarding dairy products. Granger-causality tests and Impulse Response Functions (IRFs) were used to study relationships between online media derived data and dairy futures prices.

Milk and cheese have more mentions in online media than yogurt and ice cream. Online media net sentiment around milk was the lowest of the dairy products studied. Granger-causality tests showed that Class III milk price Granger-causes net sentiment of dairy as a whole and of fluid milk. Price additionally Granger-causes mentions of milk, ice cream and yogurt. Notably, milk and ice cream mentions Granger-cause the Class III milk price. IRF's reveals that increases in mentions have a positive, albeit small, effect on the Class III milk price that is statistically significant for ice cream, but not for milk. IRF's directionality of the relationship from price to online media derived data was mixed.

This is the first time that relationships between online media -volume and sentiment- and futures prices of an agricultural commodity are researched. Exploration of futures markets alongside online media advances the use of online media to glean insights in financial, along with food and agricultural markets.

The purpose of this paper is to empirically examine how China's food safety standards affect agricultural trade in the case of dairy products.

A gravity model is applied to quantitatively address the impacts of changing food safety standards in China in the case of its dairy imports. The paper considers the trade impacts of not only a specific hazard substance but also overall strictness of safety standards.

The paper shows that changes in food safety standards of dairy products have no effect on China's dairy imports. The finding is not particularly surprising considering special characteristics of China's food safety standards. Given the fact that China's safety standards are relatively lower than that in its major exporters, the trade-impeding effect may not be substantial.

First, this study is unable to estimate the trade-enhancing and trade-impending effects separately. Second, the study does not account for a potential endogeneity issue associated with food safety standards.

This paper contributes to the debate on how food safety standards affect trade by demonstrating that safety standards in developing countries like China can affect international trade differently from that in developed countries. Although results are specific to China's dairy imports, the explanations are applicable to food safety standards in other developing countries.

The purpose of this research is to understand how accounting information mobilises stakeholder salience at an industry level.

A case study method using an explanation building approach was applied to gather information surrounding dairy industry stakeholder uses of accounting information to communicate their salience, in the historical context, leading to, and the events surrounding the milk price “war” in Australia. The Mitchell et al. (1997) stakeholder salience framework was used to advance our understanding of the different ways accounting can be mobilized by stakeholders with different types of salience attributes, at an industry level.

This empirical analysis produces two insights into the relation between accounting and stakeholder salience. First, there is evidence as to how accounting information impacted on stakeholder salience at an industry level by demonstrating how accounting information (in)directly communicated and justified the increase of a stakeholder’s level of salience. Second, the Mitchell et al. (1997) model is extended by attributing levels of importance to each stakeholder attribute. It was found that, in this setting, power was the most salient attribute of the three, usurping legitimacy and urgency, leading to the outcomes observed.

This paper acknowledged the usual method limitations related to this style of qualitative research, including investigator bias and lack of statistical generalization. In addition, a second set of limitations critiques the paper’s operating framework. While the Mitchell et al. (1997) stakeholder salience model proved to be a suitable choice for this research, it is limited in the way in which stakeholder attributes are presented and used to identify stakeholders. In addition, further light may be provided on the distinctions between the different magnitudes of power, legitimacy and urgency between stakeholders after suggesting that they are not equally weighted.

The milk price “war” remains a high-profile discussion amongst the general public. This research contributes to a better understanding of how different players (stakeholders) have their salience claims mobilized through accounting information. Practitioners in the dairy industry might reflect on the findings to enhance their legitimacy pursuits in future negotiations with their counter-parties, and better deploy accounting to achieve the same.

The findings speak more broadly to notions of social equity in stakeholder relations, for the production and distribution of a product that is ubiquitously used in society (dairy – milk). The findings from this study therefore have potential to assist policymakers better understand the strategies adopted by stakeholders to impose their influence and defend their claims in a public forum, using accounting information.

The authors contend that the article provides evidence at an industry level, that is lacking in extant management accounting research (Collier, 2000). To this extent, an original contribution is claimed. The paper is also valuable to management accounting and management researchers studying stakeholder salience, and is one of the first to investigate this issue at an industry level, as well as express how accounting mobilises this salience.

The purpose of this paper is twofold. First, it intends to assess the level of comparability of the fair value-based valuation criteria for biological assets of Portuguese dairy farms after the adoption of the Portuguese Accounting Standardization System. Second, it presents an innovative valuation model to assess the fair value of dairy herds.

The paper conducts a multiple case study at dairy farms in the central region of Portugal which had adopted the new Accounting Standardization System. Data were captured through interviews to assess how dairy farms were using the new valuation criteria required by this recent accounting frame of reference. A proposal for a model to measure fair value is presented.

Main findings indicate that market values for dairy production animals are inconsistent, reducing financial information comparability levels. To solve these problems, the authors propose a new model to assess fair value based on the net present value (NPV) of future cash-flows. This is a possible method to measure bovines that are in a breeding stage and it will assure the comparability of financial statements among dairy farms.

The study is confined to one case study and one country, not allowing generalization.

Results indicate the need to harmonize one possible method for measuring cattle that are in a breeding stage. In order to overcome these shortcomings, a model was designed to calculate the fair value of dairy production based on the NPV of future economic benefits.

The expected increase in milk price volatility after the milk quota abolition in the EU will lead to further planning uncertainty on dairy farms. Consequently, the modest supply of insurance and the hedging of milk prices through futures may increase. To shed more light on this possibility, the purpose of this paper is to calculate the additional willingness to pay (WTP) for risk-averse dairy farmers in order to cope with milk price volatility after the quota abolition.

After the European dairy quota abolition, European dairy farmers will be more dependent on the milk price of the world market. To reflect the world market, a time series of milk prices of a dairy processor from New Zealand (NZ) was used because NZ is exporting most of their dairy products under world market conditions. Based on the NZ price series, we approximated milk price volatility after the European dairy quota abolition and calculated the additional WTP of risk-averse dairy farmers in order to cope with milk price volatility.

Using a price series of NZ to approximate milk price volatility after the European dairy quota abolition and comparing it with a German milk price series before quota, the results suggest there might be increased WTP after the milk quota abolition in order to cope with milk price volatility. Following this assumption, the WTP of considerable risk-averse dairy farmers may exceed the initial transaction costs of hedging milk prices with futures on commodity exchanges. Nevertheless, a qualitative discussion of the results shows costs of education, basis risk, and the small size of farms could still keep dairy farmers from hedging the milk price.

In calculating the additional WTP for risk-averse dairy farmers to cope with milk price volatility, this is the first study to attempt to illustrate the expected influence of increasing milk price volatility at the dairy farm level after the dairy quota abolition in the EU. The additional WTP gives further insights into the need for and acceptance of insurance after the dairy quota abolition at the dairy farm level.

Inquiring about the patterns of interaction within clusters can provide a valuable insight into the cooperation and competition strategies followed by firms. However, such internal patterns are difficult to identify using conventional methods. This study aims to apply a social network analysis approach to identify and analyze different sub-groups of firms within a dairy cluster. These sub-groups seem to respond to different forms of productive organization, with different levels of territorial anchorage.

The authors study the dairy cluster in the south-west of Uruguay, where one of the country’s main industries is located. The authors use data from semi-structured interviews applied to managing directors of 40 dairy industrial firms. The authors analyze the collaboration network among firms and industry support organizations. Using a community detection algorithm, the authors identify strategic groups of firms and organizations within the network. The authors analyze information from the interviews to delve deeper into the strategies pursued by actors in each of these sub-groups.

The four groups identified by the algorithm respond to particular logics associated not only with collaborative behavior, but also with territorial distribution and competitive strategies pursued by firms. In particular, these communities show a positive association between the centrality of their nodes in the network, the size of their firms, their export orientation and their innovative capacity. These associations indicate the co-existence, within the cluster, of different local productive systems and other forms of productive organization.

The paper illustrates how different strategies of firms within a cluster can be understood using social network analysis. This approach is particularly interesting in agri-food clusters, where their wider dispersion in the territory often implies their firms following different collaborative and competitive strategies, and different levels of territorial anchorage.