Does mandatory food safety training and certification for restaurant employees improve inspection outcomes?

The purpose of this study was to explore the relationship between mandatory food safety training and certification and inspection results of chain restaurants and independent restaurants, using current food safety inspection results of food service establishments in Central Florida. More specifically, this study examines whether there is any statistically significant difference in the violation frequency among chain and independent restaurants. Reducing the risk of any foodborne illness is a critical strategy that industry stakeholders should pursue in an area dominated by tourism such as Orlando, Florida. A one-way ANOVA was used to determine the differences between the two types of restaurants. Findings indicate that there is significant difference between chain and independent restaurants for critical violations. No difference was found when comparing chain verses independent restaurants for non-critical violations.     

Residents’ support for tourism: An Identity Perspective

Studies on residents’ support for tourism have primarily been conducted in the developed world. This study analyzes community support in the island economy of Mauritius by testing a model based on the social exchange theory and the identity theory. The model proposes that the resource-based occupational identity, environmental identity, and gender identity of the residents influence attitudes to tourism impacts and support (behavior). Results indicate that one’s identity has a direct bearing on support, but may not always influence attitudes. Findings confirm the relevance of the social exchange theory and the identity theory in explaining community support for tourism in island economies. The study’s practical implications and limitations are discussed.     

The welfare effects of import “subquotas” on heterogeneous product categories

In spite of its importance to policy makers, surprisingly little attention has been paid to the welfare effects of one aspect of trade policy-how to implement an import quota that applies to a heterogeneous product category. The government can impose a simple quota that applies indiscriminately to all goods within the product category or it can divide the quota among them with subquotas. In this paper, we analyze the welfare effects of subquotas. Under certain simplifying assumptions we find that a system of subquotas nearly always exists that provides greater welfare than a simple quota for a large country that retains quota rights or for a large or small country that gives quota rights away to foreigners. However, subquotas cannot increase the welfare of a small country that retains quota rights. The difference lies in the effect of imports on the home country's terms of trade.The views expressed in this paper are those of the authors and do not necessarily reflect the opinion of the US International Trade Commission. The authors are grateful for helpful comments on an earlier draft by anonymous referees.     

Forecasting performances of three automated modelling techniques during the economic crisis 2007–2009

In this work we consider the forecasting of macroeconomic variables during an economic crisis. The focus is on a specific class of models, the so-called single hidden-layer feed-forward autoregressive neural network models. What makes these models interesting in the present context is the fact that they form a class of universal approximators and may be expected to work well during exceptional periods such as major economic crises. Neural network models are often difficult to estimate, and we follow the idea of White (2006) of transforming the specification and nonlinear estimation problem into a linear model selection and estimation problem. To this end, we employ three automatic modelling devices. One of them is White’s QuickNet, but we also consider Autometrics, which is well known to time series econometricians, and the Marginal Bridge Estimator, which is better known to statisticians. The performances of these three model selectors are compared by looking at the accuracy of the forecasts of the estimated neural network models. We apply the neural network model and the three modelling techniques to monthly industrial production and unemployment series from the G7 countries and the four Scandinavian ones, and focus on forecasting during the economic crisis 2007–2009. The forecast accuracy is measured using the root mean square forecast error. Hypothesis testing is also used to compare the performances of the different techniques.     

Technology transfer in the IT industry: A Korean perspective

Recently Korean Government announced ambitious IT strategy to establish Korea as one of leaders in world IT market. To implement this strategy, technology transfer from research lab to market should be successfully performed. This study is to identify factors influencing technology transfer and to examine contribution of these factors on success of technology transfer in Korean IT industry. Survey results show that technology project leaders evaluated “Concreteness of Technology” as the most influential factor for technology transfer, followed by “Communication Channels,” “Collaboration among Participants,” “Management Support,” “Government Support,” and “Incentives for Transfer.” Out of 135 technology transfer projects, respondents rated 33 projects as sustaining (28.44%), 38 as promoting (28.15%), 26 as demonstrating (19.26%), 27 in incubating (20.00%), and the remaining 7 in imaging stage (8.15%). This statistics means that 28.15% of technology transfer projects did not reach production stage. Regression analysis identifies that “Communication Channels,” “Management Support,” “Concreteness of Technology” “Sense of Common Purpose,” and “Awareness of Technology Transfer” were statistically significant in explaining success of technology transfer.     

Terrorism and its impact on economic growth and technological innovation

Recent terrorist acts, in particular the 9-11 attacks in 2001, have created disruptions in the global economy. The short-term impact had been felt in the global tourism, airline industries, as well as the financial markets. While the global economy has recovered and is adjusting to the new global realities, the longer-term impact of heightened security risk across the world can be felt in the form of higher risk premiums in asset markets, as well as a shift of resources towards dealing with terrorism. Just as World War II had accelerated the development of nuclear energy as well as a major contributing factor in the genesis of Silicon Valley, the current war against terrorism will affect both the pace and trajectory of technology trends, as efforts are focused on developing technologies to combat terrorism. In this paper, we review the effects of the current war on terrorism in terms of its impact on the economy, the allocation of resources to R&D, and the trajectory of future R&D.