Parental perceptions of toddler water safety, swimming ability and swimming lessons

The primary objective of the study was to examine parental perceptions on the role of toddler swimming ability and pre-school swimming lessons in drowning prevention. A self-administered questionnaire was used to obtain information on toddler water safety from parents (n = 882) whose 2 - 4-year-old toddlers were either attending early childhood centres (n = 327) or who were enrolled in swim schools (n = 555). Differences in attitudes between two groups of parents were measured by frequency, with Mann-Whitney U tests used to discern significant differences between groups. More swim school parents believed that: swimming was best taught at 2 years of age or less (42% vs. 29%); swimming lessons were the best way to prevent toddler drowning (57% vs. 47%); toddlers could learn to save themselves if they fell into water (43% vs. 33%); and that it was better to develop swimming ability rather than rely on adult supervision (35% vs. 30%). Many parents have an overly optimistic view of the role of swimming ability and pre-school swimming lessons in drowning prevention. This was especially so for parents with toddlers enrolled in lessons. Swim schools in particular need to counter parental misconceptions of the protective role of swimming and reiterate the importance of close adult supervision of toddlers around water.     

Raising planned gifts through a campaign framework: it works but be careful!!

Many years ago, planned giving was characterized as low key and troubled by a lack of closure. Today, planned giving officers are feeling the pressure that all fund raisers face for immediate fund-raising results and more aggressive fund-raising methods.     

Quantifying public preferences for agri-environmental policy in Scotland: A comparison of methods

This paper compares two methods for determining policy priorities for reform of Scottish agricultural support. Multifunctional agriculture attempts to establish a new balance between traditional commodity support and payment for the production of non-market goods and services that are increasingly demanded by the public. Supplying non-market goods presents particular problems for optimal policy design, not least the elicitation of consumer demand for those goods. From public focus groups, a range of attributes was derived as central to the Scottish public’s preferences for future agri-environmental reform. This information was then combined in two separate survey methods using the Analytical Hierarchy Process (AHP) and choice experiments (CE). Both applications suggest that the public has defined preferences and a willingness to pay (using general income taxation) to affect changes beyond the status quo, and that policy payments should be targeted towards both environmental and social benefits. The divergent preference orderings derived from the alternative methods can be considered in the light of previous methodological debates on question framing, bounded rationality and respondent uncertainty. We speculate about the validity of alternative methodologies for informing particular policy questions.     

Mutual fund trades and the value of contradictory private information

We investigate the performance of mutual funds that trade using private information. These funds are uniquely identified from a set of 2730 funds with 44,315 fund-periods between 1994 and 2005. We compare the alignment of fund trades with brokers’ recommendations, which we regard as “public information” in the universe of informed and uninformed mutual funds. Funds that systematically trade counter to the public information form a homogenous subset of the privately informed funds. By using private information that contradicts the public information, these funds exhibit a superior average performance. After we control for serial correlation in fund returns, we assess this advantage as being an economically significant 1.7% per annum. We also show empirically that smaller funds are better able to capture the benefit of private information.     

eWOM credibility on social networking sites: A framework

Social networking sites (SNS) offer brands the ability to spread positive electronic Word of Mouth (eWOM) for the purposes of building awareness and acquiring new customers. However, the credibility of eWOM is threatened of late as marketers increasingly try to manipulate eWOM practices on SNS. A greater understanding of eWOM credibility is necessary to better enable marketers to leverage true consumer engagement by generating credible peer-to-peer communications. Yet, to date, there is no one framework synthesising which factors constitute eWOM credibility in the online environment. This paper revisits the word of mouth credibility literature and proposes a new credibility framework – the 4Cs of eWOM Credibility: Community, Competence, Content, and Consensus.     

Reducing laundering frequency to prolong the life of denim jeans

The use and disposal phase in a garment's life cycle is highly dependent on the choices made by the consumer. Maintenance procedures such as laundering and drying require energy and water use. Garment disposal increases waste in landfill sites, unless incinerated, which can take a toll on the environment through greenhouse gas emissions. Therefore, encouraging consumers to launder less frequently and finding ways to extend the useful life of clothing are two ways of increasing sustainability within the clothing industry. Denim jeans are one of the most popular items of clothing worldwide. Changing habits such as reducing the frequency with which a person washes their denim jeans could have a positive impact on the environment through less water and energy use. However, environmental knowledge about what is detrimental to the environment may not necessarily lead to pro‐environmental behaviour. In denim jeans fibre loss results in thinning and loss in colour due to use. Laundering in particular can degrade clothing due to the abrasive forces applied to the surface of wet fibres. Therefore, this study highlights the effect that frequent laundering can have on the degradation of jeans with the aim to provide additional motivation to encourage change in consumers’ laundering habits. Consumers wore jeans for the equivalent of 60 days and either washed their jeans after approximately 2 days of wear or after approximately every 20 days of wear. The findings confirmed that frequent laundering reduced mass, increased colour loss, and reduced tensile strength in the warp direction of the fabric. Although washing is a major contributor to the degradation of jeans, the process of wearing denim jeans also naturally degrades the denim as the thigh region of the jeans showed greater colour loss and reduction in tensile strength than the shin region, which is typically less prone to abrasion through wear. The findings from this study provide compelling evidence to encourage consumers to reconsider their laundering habits in terms of wash frequency as both a means to behave in a more environmentally sustainable way, and to preserve their favourite garments.     

Speed-profile-based road segmentation for accident occurrence modelling for hilly terrains

Modelling the accident occurrences per unit length of the road requires segmentation of road stretch. In the case of hilly terrains, homogeneity-based approach results in extremely small sections thus creating a biased accident data. This result is due to the high variations in geometry along the length of the road stretch. Constant length sections do not consider the effect of road's characteristics, hence may lead to undesirable results. It is hypothesized that the speed profile of a vehicle moving in free-flow conditions is governed by the road geometry as well as the road side environment. In this paper, a new methodology based on speed profile of a test vehicle (passenger car) has been proposed for segmenting a road stretch passing through hilly terrain. Comparative analysis of the results obtained from the constant length segmentation approach and the proposed approach shows that the later approach is producing statistically better results. Relatively more parameters were found to be statistically significant in the model based on speed-profile-based segmentation. Grade length, which could be one of the major parameters in hilly terrains, was found to be statistically significant only in the model based on speed-profile-based segmentation.     

Measuring progress in agricultural sustainability to support policy-making

The concept of sustainability is one of the forefront issues in discussions of the challenges facing global agriculture, given the mounting pressure to increase food production in both socially responsible and environmentally friendly ways. From the perspective of Irish agriculture, sustainable intensification is of particular relevance, given ambitious targets to increase milk production in the context of European Union (EU) milk quota removal in 2015. A series of farm-level sustainability indicators are developed here using the Teagasc National Farm Survey FADN (Farm Accountancy Data Network) data for Ireland from 2012. Three dimensions, reflecting the multifaceted nature of sustainability (environmental, economic and social) are considered. Given the environmental challenges inherent in the sustainable intensification of agriculture, it is encouraging to observe that the more intensive, top performing farms (in an economic sense) emit relatively less greenhouse gases when compared to their less intensive counterparts. Conversely, the better performing farms in economic terms tend to have a higher nitrogen surplus per hectare on average. This is consistent with their higher rates of production intensity, but poses a challenge in terms of sustainable intensification and expansion. That said this analysis demonstrates that the nitrogen use efficiency of milk production is positively correlated with economic performance, with more intensive farms producing relatively more milk per kilogram of nitrogen surplus. From the perspective of social sustainability, demographic traits also tend to be positively correlated with economic performance. Given a growing recognition of the need for interconnected policy in the area of sustainability, this research should help inform policy debates and provides a guide for the undertaking of similar assessments elsewhere.     

Price determinants of Aboriginal art, and its role as an alternative asset class

This paper analyzes auction results for over 4000 paintings by Australian Aboriginal artists to investigate determinants of prices in the Aboriginal art market. This is the first financial study of an indigenous art market, and hedonic, repeat sales and hybrid regression analyses find it shares price determinants with traditional art markets (with price premia attached to artist name, death, painting size, leading auction house, and winter sale). However, Aboriginal art’s unique features significantly affect prices, particularly works that use traditional Aboriginal media and those with reputation-affirming traits. An Aboriginal Art Index provides 6.6% annual return (standard deviation 17.9%), which is comparable to traditional asset classes and superior on a risk-adjusted basis. Returns to Aboriginal art are negatively correlated with returns from other assets, and so it adds value to a diversified investment portfolio.