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The purpose of this paper is to provide an ex post econometric examination of SPS measures and their influences on red meat trade.

The authors conduct multiple new assessments to further assess the particular effects of specific SPS measures related to animal health, human health and maximum residue limits on red meat trade values. This finer assessment provides updated and more detailed insights into the marginal trade impacts of different SPS measures.

The current study sheds important light on the determinants of red meat trade. The economic conditions of destination countries and production capability of suppliers are key to determining trade values. Factors including personal income and exporters’ meat supply are identified as trade facilitators. Since the restrictiveness of SPS measures vary across beef and pork sectors, maintaining commodity-specific SPS measures is essential for accurate assessment of trade determinants.

This paper provides multiple contributions to the existing literature and more broadly the authors’ economic understanding on the increasingly contentious issue of global meat trade. Combined, this study yields several implications for food policy, trade negotiators and industry leaders given the growing role and surrounding controversies of trade in meat and livestock markets around the world. The authors further believe the paper would be of notable interest to fellow researchers consistent with the existence of a sizable published literature and ongoing debates in international meat trade.

The purpose of this paper is to disentangle the direct and indirect effects of three credence labels (Australian, animal welfare and grass-fed) on US consumer attitudes toward buying beef steaks. Furthermore, it explores the impact of consumer attribute knowledge, usage frequency, education and opinion strength on the magnitude of direct and indirect effects.

Data are collected through an online experiment with 460 US consumers and analyzed with path modeling.

The Australian label generates a 86 percent negative direct effect vs a 14 percent negative indirect effect on consumer attitudes, which means that US consumers do not make strong inferences to form their attitudes toward buying Australian beef. The animal welfare label generates 50 percent direct and 50 percent indirect effects. The grass-fed label generates only indirect effects (100 percent). The higher consumer education, attribute knowledge, usage frequency, education and opinion strength, the weaker are the indirect effects of credence labels.

The study focusses on consumers in one country (USA), one product (beef steak) and one label across three attributes, therefore generalization of results is limited.

The study offers a tool to agribusiness managers as well as to policy makers, NGOs and consumer groups to design and assess the effectiveness of communication campaigns attempting to strengthen (or weaken) consumer inferences and attitudes relative to credence labels.

Despite the wide literature on consumer inferences based on credence labels, this is the first study that quantitatively disentangles the complex set of inferential effects generated by credence labels and explores common relationships across multiple credence attributes.

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 examine the relationship between closing prices and trading volume in the livestock futures markets of lean hogs, live cattle and feeder cattle.

The parametric quantile regressions methodology is used. Daily data between January 1, 2010 and July 31, 2019 were used.

Findings suggest that the relationship between the two variables is non-linear. Price-volume relationship is positive (negative) under positive (negative) returns. Furthermore, co-movement is weaker at the lower quantiles and stronger at the higher quantiles. Results are in line with the empirical findings of the price-volume relationship in six agricultural futures markets from the study by Fousekis and Tzaferi (2019).

This is the first study that uses the parametric quantile regressions method in the livestock futures market, to examine the returns-volume dependence.