Developing Countries as Plaintiffs and Defendants in GATT/WTO Trade Disputes

Developing countries have been increasing their participation in the formal institutions and proceedings of the multilateral trading system. A prominent example is their more frequent involvement as defendants and plaintiffs in GATT/WTO trade disputes. This paper provides an initial economic appraisal of developing country performance in the GATT/WTO dispute settlement system. We measure the economic resolution of these disputes through trade liberalisation gains, and our results suggest that developing country plaintiffs have had more success under WTO disputes than was the case under the GATT. We also document evidence on potential determinants of this success: the capacity for plaintiffs to make credible retaliatory threats and the guilty determinations by GATT/WTO panels. Finally, there is also some evidence that developing countries have recognised the importance of retaliatory threats and have responded by changing their pattern of dispute initiation under the WTO to better take advantage of the instances in which they have sufficient leverage to threaten retaliation and induce compliance with GATT/WTO obligations.     

Entrepreneurship and Risk Premium

This article deals with the measurement and determination of entrepreneurship. It utilises the issue of the absence of the entrepreneur from neoclassical theory and uses the theory of portfolio management to establish a model connecting risk premium with the entrepreneurship premium. It shows that the non-systematic risk may be a satisfactory proxy of the level of entrepreneurial activity. The development of successful entrepreneurial activity proxy contributes towards the development of a theorisation of entrepreneurship and an assessment of its contribution to growth.     

Building Brands through Brand Alliances: Does a Second Ally Help?

Several papers have been published demonstrating the positive effects a single, reputable ally has on evaluations of a focal brand. Interestingly, little research has been published examining the effects of multiple brand allies. We examine the effect of an alliance with two, one, or zero well-known brand allies on evaluations of a previously unknown focal brand. The presence of a single brand ally significantly increased perceived quality and hedonic and utilitarian attitudes. While multiple alliances improved focal brand evaluations relative to the no ally condition, the second ally did not increase evaluations relative to the single ally condition.     

The Influence of Task Load and Automation Trust on Deception Detection

The purpose of this research was to investigate the effects that user task load level has on the relationship between an individual's trust in and subsequent use of a system's automation. Military decision-makers trust and use information system automation to make many tactical judgments and decisions. In situations of information uncertainty (information warfare environments), decision-makers must remain aware of information reliability issues and temperate their use of system automation if necessary. An individual's task load may have an effect on his use of a system's automation in environments of information uncertainty.It was hypothesized that user task load will have a moderating effect on the positive relationship between system automation trust and use of system automation. Specifically, in situations of information uncertainty (low trust), high task load will have a negative effect on the relationship. To test this hypothesis, an experiment in a simulated command and control micro-world was conducted in which system automation trust and individual task load were manipulated. The findings from the experiment support the positive relationship between automation trust and automation use found in previous research and suggest that task load does have a negative effect on the positive relationship between automation trust and automation use. Experiment participant who incurred a higher task load exhibited an over-reliance on their automated information systems to assist them in their decision-making activities. Such an over-reliance can lead to vulnerabilities of deception and suggests the need for automated deception detection capabilities.     

The Intergenerational Supply of Loggers Under Conditions of Declining Economic Well-Being

This paper addresses the supply-side explanations of a logger shortage by estimating an occupational choice model that considers the role of earnings, nonpecuniary determinants and intergenerational factors. Our results showed that: (1) relative earnings have no statistically significant effect on career choice; (2) improvement in the public image of loggers substantially increases entry into logging; and (3) a strong intergenerational supply linkage exists but is currently being eroded.     

GOVERNMENT POLICIES AND AGRICULTURAL SUPPLY RESPONSE: PADDY IN SRI LANKA

An aggregate analysis of supply response in the paddy (rice) sector of Sri Lanka during 1952-87 is conducted to identify the impact of pricing policy, irrigation programmes, institutional credit and concessional sales on area, yield and overall supply. The focus of the estimation procedure is the selection of an appropriate functional form for regressions and on the price variable that best represents the price to which producers respond in making area and yield decisions. In the case of both area and yield, the econometric criteria favour the acceptance of log-linear equations with the ratio of the guaranteed price of paddy to fertiliser price. On the basis of overall supply elasticity estimates, it is concluded that while pricing policy, irrigation programmes and institutional credit provide incentives to the expansion of paddy production, concessional sales of rice act as a disincentive.     

Polynomial approximations in cross-sectional models

The time-series distributed lag techniques of econometrics can be usefully applied to cross-sectional, spatial and cross-section time-series situations. The application is perfectly natural in cross-section, time-series models when regression coefficients evolve systematically as the cross-section grouping variable changes. The evolution of such coefficients lends itself to polynomial approximation or more general smoothing restrictions. These ideas are not new, Gersovitz and McKinnon (1978) and Trivedi and Lee (1981) providing two of the earliest applications of cross-equation smoothing techniques. However, their applications were in the context of coefficient variation due to seasonal changes and this may account for the non-diffusion of these techniques. The approach here is illustrated in the context of age-specific household formation equations based on census data, using Almon polynomials when the regression coefficients vary systematically by age group. A second application is provided, using spatial data, explaining the incidence of crime, by region; using polynomial and geometric smoothing to model distance declining regional effects.