Search results

This article reviews the government thrust for foundation trust status for NHS providers, drawing out implications for public engagement, partnerships with wider stakeholders and the relationship with social care services. It explains the potential benefits of the change, in the context of expressed concerns about privatisation, the particular difficulties for community services like mental health, and uncertainties about existing s31 partnership agreements.

This chapter uses a welfare-based conceptual framework for the assessment of costs and benefits associated with nontariff measures in the presence of market imperfections such as asymmetric information and environmental or health externalities. The framework allows for evidence-based comparative assessments of alternative regulatory approaches addressing these imperfections. The conceptual work is illustrated with an empirical case study of labeling internationally traded fish products.

The purpose of this paper is to use prediction markets to forecast an agricultural event: United States Department of Agriculture's number of cattle on feed (COF). Prediction markets are increasingly popular forecast tools due to their flexibility and proven accuracy to forecast a diverse array of events.

During spring 2008, a market was constructed comprised of student traders in which they bought and sold contracts whose value was contingent on the number of COF to be reported on April 18, 2008. During a nine‐week period, students were presented three types of contracts to forecast the number of COF. To estimate forecasts a uniform price sealed bid auction mechanism was used.

The results showed that prediction markets forecasted 11.5 million head on feed, which was about 1.6 percent lower than the actual number of COF (11.684 million). The prediction market also fared slightly worse than analysts' predictions, which on average suggested there would be about 11.795 million head (an over‐estimate of about 1 percent).

The contribution of this study was not to provide conclusive evidence on the efficacy of using prediction markets to forecast COF, but rather to present an empirical example that will spark interest among agricultural economists on the promises and pitfalls of a research method that has been relatively underutilized in the agricultural economics literature.

Chinese beer consumption has undergone major changes within the last decade. The combination of a growing middle class and greater exposure to foreign products has resulted in a significant increase in beer imports. The authors examined transformations in this market and how beer preferences have changed over time. This study focuses on changes is origin-specific preferences (e.g. German beer and Mexican beer) as reflected by habit formation (i.e. dynamic consumption patterns) and changes in demand sensitivity to expenditure and prices.

The authors estimated Chinese beer demand – differentiated by source – using a generalized dynamic demand model that accounted for habit formation and trends, as well as the immediate and long-run effects of expenditures and prices on demand. The authors employed a rolling regression procedure that allowed for model estimates to vary with time. Preference changes were inferred from the changing demand estimates, with a particular focus on changes in habit formation, expenditure allocating behaviour, and own-price responsiveness.

Results suggest that Chinese beer preferences have changed significantly over the last decade, increasing for Mexican beer, Dutch beer and Belgian beer. German beer once dominated the Chinese market. However, all indicators suggest that German beer preferences are declining.

Although China is the world's third largest beer importing country behind the United States and France. Few studies have focused on this market. While dynamic analyses of alcoholic beverage demand are not new, this is the first study to examine the dynamics of imported beer preferences in China and implications for exporting countries.

The importance of recognising cognitive styles of individuals has been applied to how individuals react and evaluate accounting information. Results of this study suggest that field‐dependent accountants found Human Resources Accounting information more relevant than did field‐independent accountants.

The purpose of this paper is to determine which financial record‐keeping system farmers use, as well as what system attributes farmers value and to what degree.

This research uses a choice experiment to examine farmer's demand for attributes of financial record‐keeping systems. A sample from the general Michigan farm population is compared to samples from university and agribusiness record system clients.

Results reveal that university and agribusiness clients are willing to pay considerably more for a farm‐specific record system to backstop their farm management decisions.

The results provide an understanding of farmer demands for farm financial record systems and can be used to position record‐keeping systems to meet those demands.

This paper describes and analyzes farm financial accounting system use and preferences by type.

^∗ Indicates books which are especially recommended.

The purpose of this paper is to investigate consumer preference of and willingness to pay for eco-labelled eggs using cross-sectional data collected from Chongqing Municipality in China.

This study employs both conditional logistic model and mixed logistic model to conduct the empirical analysis.

The empirical results show that individual heterogeneous preference and attributes of eco-labelled eggs significantly influence consumer choices. More specifically, higher per capita income, families with pregnant women or children, higher level of trust in and knowledge of eco-labels contribute positively to choosing eco-labelled eggs, and attributes of eco-labelled eggs such as certification labels, free-range husbandry, and nutrition enrichment significantly increase consumer utility. Generally, the price premium that consumers are willing to pay for eggs containing “organic”, “free-range husbandry”, and “nutrition enrichment” labels is 375.0% more, equivalent to 42.8 Yuan/kg.

This study used first-hand survey data to reveal consumers’ heterogeneous preference of and willingness to pay for eco-labelled eggs based on the random utility theory.