TRUCKING DEREGULATION AND MOTOR-CARRIER PERFORMANCE: THE SHAREHOLDERS' PERSPECTIVE

This paper utilizes an event study methodology to investigate the effects of deregulation on carriers' shareholders. This methodology compares the expected returns during a time period surrounding a particular event with actual returns during the same time period. These differences are referred to as prediction errors. The study investigates the prediction errors associated with individual trucking firms, as well as those associated with groups composed of regional carriers, national carriers, and the aggregate sample of firms used in the study. The results suggest that the passage of the Motor Carrier Reform Act on July 1, 1980, halted a serious 18-month downward trend in the aggregate sample's cumulative prediction error. Nearly all firms showed significant gains in the 18 months subsequent to deregulation. Using two control groups, the authors show that a large portion of this gain from the industry sample can be explained by lower and more stable fuel prices and a sharp upturn in the economy. The results also indicate that due to deregulation, the large regional trucking firms were able to outperform the small regional firms and the national firms in the more favorable economic environment present after deregulation.     

Risk and the miller equilibrium: Capital structure choice with risk-averse investors

Merton Miller's (1977) tax model of equilibrium capital structure choice results in capital structure irrelevance and the existence of tax clienteles, assuming the restrictive case of risk-neutrality. Relaxation of the assumption of risk-neutrality in Miller's tax framework, allowing utility-maximizing risk-averse investors, indicates that capital structure irrelevance continues to hold under reasonable assumptions about utility. Evaluation of resulting tax clienteles shows that marginal tax rates do not restrict investors from investing in equities but do affect the tax status of purchased bonds.     

Do Community Supported Agriculture programmes encourage change to food lifestyle behaviours and health outcomes? New evidence from shareholders

Community Supported Agriculture (CSA) programmes have recently received attention for their potential to influence food lifestyle behaviours and health outcomes, though studies have mostly drawn from small samples (n?t-tests assess if paired means are statistically different, and multiple regressions of paired differences on socioeconomic factors, self-reported health, and years of CSA enrolment estimate the effect of respondent characteristics on behaviour change. The results strongly suggest that CSAs have the potential to positively impact shareholders’ food lifestyle behaviours and health outcomes, and that those reporting ‘poor health’ prior to CSA enrolment exhibited the most change overall. These results should be taken as an initial, yet promising, analysis of the impact of CSA participation on shareholder food lifestyle behaviours and health outcomes.     

A Transaction Cost Primer on Farm Organization

Agricultural economists, with their knowledge of farming, are well positioned to take advantage of the fertile ground of economic organization. The transaction cost paradigm is particularly useful in addressing such questions and is outlined in this paper. The overriding theme in the transaction cost approach is that patterns of ownership and contracts are chosen to mitigate transaction costs, which result from attempts to establish and maintain property rights. In agriculture, transaction costs are heavily influenced by Mother Nature. Nature's uncertainty, via weather and pests, leads to moral hazard and seasonal forces impose constraints on production cycles that are not often found in the production of most other commodities. Applications in land contracts, asset control, and business organization are discussed.     

Dynamics of Beef Supply in the Presence of Cointegration: A New Test of the Backward-Bending Hypothesis

Following a general-to-specific strategy of model development, we develop error-correction equations for fed beef supply and feeder cattle demand. Starting with a theoretically acceptable set of variables, preliminary tests for unit roots and cointegrating vectors show stationary quantity variables and cointegrated prices. Simplification of the lag structure leads to equations with considerably richer dynamics than in previous studies. The final model passes several misspecification tests, is robust when estimated on subsamples of data, and makes more accurate out-of-sample forecasts than other models. In beef supply, the estimated error-correction model decomposes the backward-bending supply hypothesis into negative short-run and positive long-run supply elasticities at the monthly frequency.     

Social network analysis in accounting information systems research

This paper introduces social network analysis as an alternative research method for conducting accounting information systems related research. With advances in information and communication technologies, transaction data are being recorded in electronic form, resulting in a variety of research opportunities to examine dyadic interactions. A network consists of a set of nodes connected by ties. Social network research focuses on how outcomes are influenced not just by the attributes of the nodes (e.g. individuals), but also by the ties connecting nodes to each other. The nodes are typically conceptualized as actors, such as individuals, teams, or organizations. A unique network structure is created to reflect each different type of tie, such as trust, advice, collocation, or organizational affiliation. Social network analysis can be used for research examining individual, dyadic or network levels of analyses, and is a powerful tool for conducting multi-method research. Given the vast amounts of trace electronic data collected via accounting information systems, this paper reviews how social network analysis not only opens new research avenues for accounting information systems researchers, but identifies opportunities for the field of accounting information systems to inform social network research by identifying new network structures and dynamics leveraging transactional data.     

The National Collegiate Athletic Association Cartel: Why it Exists,How it Works,and What it Does

In this essay we consider why American colleges and universities participate in big-time commercialized intercollegiate sports, and how sports came to play such a prominent role on American college and university campuses. We also review how the National Collegiate Athletic Association (NCAA) developed as a body to regulate player safety and transformed itself into an economic regulator, the means by which the NCAA attempts to maintain its control, increase revenues, and reduce costs for college sports programs. We also examine how the organization succeeds in the face of institutional characteristics that imply that its cartel activities would be doomed. Finally, we speculate on what changes might be on the horizon for the NCAA and college athletics.