Children aged 9-14 living in disadvantaged areas in England: Opportunities and barriers for cycling

The aim of this paper is to take a holistic perspective to explore levels of cycling and opportunities and barriers to increase children’s safer cycling in disadvantaged areas in England. The study was one part of a larger study which explored the factors underlying the high level of road traffic casualties especially among children in the most disadvantaged areas of England and to explore how this impacts on mobility and quality of life. The methods involved a cross sectional survey comprising school based questionnaire surveys with children aged 9-14 and focus groups with parents who had children within this age range. The surveys were conducted in 2007 and the focus groups during 2008. 4286 children completed the survey and eight focus groups were held. Bike ownership (77%) was high, use in previous week moderate (39%) but only 2% cycled to school. Ownership was significantly lower in minority ethnic groups. Despite young children’s strong preference to travel by cycle (30%) than walk or go by car, most parents felt it was too hazardous. It is unlikely that these findings would be any different from the rest of England, however the combination of environmental and social factors may elevate the risks for young cyclists in these areas. This paper concludes that a number of barriers exist to increasing levels of cycling among children living in disadvantaged areas particularly amongst ethnic groups. These barriers could be addressed by environmental modifications to reduce speeds and by reducing the levels of antisocial driving and riding in residential areas and around destinations where children travel, by providing cycle training to improve children’s skills and parent’s confidence, and by providing secure storage facilities for bikes. Until these barriers are addressed it is unlikely that cycling will increase despite the strong preferences children have to travel by bike. Such preferences to cycle provide an opportunity for local authorities to act on.     

Replicating the Effect of Advertised Specials at Regular Price on Food Shopper Price Evaluation

This study verifies a previous finding that food shoppers can correctly identify the advertised price level for items featured at the regular price in the context of a newspaper ad. Morever, advertising regular-priced items in prominent positions did not materially affect their price accuracy scores.     

Dominant markets,staggered openings,and price discovery

This study examines information incorporation and price discovery in closely related markets that witness staggered openings. A theoretical model is presented. In this framework, one market, termed dominant, is the venue where most of the price discovery occurs, and the other is termed secondary. The model predicts heightened volatility and order flow in each market when it opens first compared with when it opens second. The effects are predicted to be more pronounced in the dominant market, and is linked to the process of information incorporation. Tests conducted using futures on crude oil (dominant) and gasoline (secondary), two related markets that witness staggered openings, reveal findings consistent with the model's predictions. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark     

Environmental Policy,Rankings and Stock Values

This paper examines the impact of Newsweek's ‘The Greenest Big Companies in America’ on stock values for large companies. Newsweek ranks the biggest Companies in America from one to 500. An event window of ten days following the rankings release to the public was examined to analyze the impact of relative rankings on stock values. Dummy variables were constructed denoting firms ranked in the highest and lowest quartiles. Control variables included return to the Dow Jones Industrial Average, the firm's beta coefficient and total revenue. The main finding of the study is that inclusion in the top quartile of the rankings has a positive and statistically significant impact on firms' stock values, while the coefficient for the lowest quartile was not statistically different from zero. The results provide evidence of a positive impact on stock values from favorable environmental recognition but no effect for low ranked firms. Copyright © 2011 John Wiley & Sons, Ltd and ERP Environment.     

Developing a framework for network and cluster identification for use in economic development policy-making

Drawing on extensive academic research concerning clusters and networks, this paper seeks to create a framework capable of reviewing and monitoring different aspects of clusters and networks on an ongoing basis. The nine-element framework allows evaluation of the structures and processes for the eight basic cluster types identified from the literature. The use of this framework as a complimentary tool to the Multi-sectoral Qualitative Analysis (MSQA) methodology is then demonstrated using three examples (the construction, hardwood timber and higher education sectors). The data was gathered from three sets of key stakeholders (government, institutions and industry) provided from a recent study funded by the Welsh Assembly Government's Small Grants Research Programme. These cases illustrate the use of the framework in helping to generate the initial information necessary for subsequent cluster development policy (within overall regional economic development) by government to occur. The framework provides tools for reviewing and monitoring individual sectors. Information captured within the framework can also help in ameliorating problems in sectors likely to decline further. The need for further development research is also identified. Specifically at the level of the firm and network, there is a need to generate a more detailed framework of analysis of factors that contribute to successful processes of network management, learning and innovation, from which more detailed policy could be enacted in future.