An empirical analysis of attendance factors relating to the female sports market

Although approximately seven million Australians attended sporting events in 2002, male spectators outnumbered female spectators by 25 percent (Australian Bureau of Statistics 2003). This study investigates the reasons for this difference by analysing a survey of 175 female sporting event attendees. The findings show that female attendance motivations are different for different sporting events, for example, football, horse racing and tennis. A number of other factors that were also found to influence attendance amongst the female market are explained and discussed and implications for sports venue managers are presented.

The information content of directors' trades: empirical analysis of the Australian market

We examine the trading activities of directors in shares of their own companies on the Australian Stock Exchange during the July-December 2005 period. We find that directors of small companies in particular earn abnormal return after both their 'Purchase' and as well as their 'Sale' trade. Directors of these companies have an uncanny ability to time the market by trading when mispricing is greatest, and are able to predict the future performance of their firms in short run. For directors of medium and large companies, we find evidence that 'Sale' trades are the ones which work as loss avoiders. Outsiders recognise to some extent that directors' trades are informative, however they are slow to incorporate the new information into prices, refuting much of the market efficiency literature.

Battlefield tourism in Turkey : an empirical analysis of British ex-colonial event attendance

This paper explores the influence of visitor satisfaction on intention to recommend event attendance. The Anzac Day commemoration at Gallipoli, Turkey, an event that has become increasingly popular in recent years and provides the backdrop for the current study. Some 20,000 people travel to attend this event. Data was collected from 331 attendees while they were in transit from Gallipoli to Istanbul on 25 April 2007. The analysis of this data was undertaken using factor analysis as a basis for identifying model constructs to be tested using structural equation modelling. Findings suggest that the constructs relating to the ceremonies held at Anzac Cove and Lone Pine and the experiential and emotional aspects of the event were significant predictors of event satisfaction and subsequent recommending behaviour. The implications of these findings for events in general and the success of the Anzac Day commemorations at Gallipoli are discussed.

Tourism and recreation in natural environments : an empirical analysis of visitor satisfaction

A trend in tourism patterns is the desire by tourists to spend more time enjoying unspoilt, natural environments. Leisure experiences in parks can provide many benefits which include promoting positive emotional, intellectual and social experiences which result in high levels of wellness in communities with long-term benefits. However, the resultant growing number of national park visitors has created a need for effective and efficient decision suppOli tools to assist park managers to administer resources, assess planning decisions, cater for an increased range of users, avoid user conflicts and minimise negative impacts on the environment. The aim of this paper is to determine the extent to which manageable variables predict park visitor satisfaction, and in so doing develop a better understanding of park visitors and their leisure experiences in parks. This study is based on a sample of 11,387 face to face interviews at 34 major parks in Victoria, Australia. The study uses cluster analysis, factor analysis and structural equation modelling to develop a segmentation approach to model and analyse visitor satisfaction. Seven well differentiated segments have been developed; constructs relating to park visitation have also been produced. The study highlights that different combinations of park facilities and resources are important in determining the satisfaction of park visitors from different segments.

An empirical analysis of sugarcane production in Fiji, 1970-2000

Fiji is a small island country in the South Pacific. Sugar is its oldest industry, being in the vanguard of economic growth and development for over a century. Today the oldest industry, not only in Fiji but also in the South Pacific Island countries, is shrivelling and is poised on the precipice of collapse. The literature to date has singled out expiring land leases and the inability of the government to resolve this issue as the key to the current calamity. This paper aims to estimate a sugarcane production model for Fiji, delineating the short-run and long-run determinants. It expands the Cobb-Douglas production function in specifying the sugarcane production model and uses time series data (1970-2000) in estimating it. The major findings are that area harvested and fertiliser (capital), labour force and prices paid to sugarcane farmers have made positive contributions to sugarcane production in both the short- and long-run. The finding on the statistical significance of area harvested has direct relevance to the current land problems in Fiji. It is envisaged that the results will appeal to Fijian policy makers and that a speedy solution to the problem of expiring and non-productive use of sugarcane land will be achieved.

An empirical analysis of Fiji’s import demand function

Purpose – This paper aims to estimate a disaggregated import demand model for Fiji using relative prices, total consumption, investment expenditure and export expenditure variables for the period 1970 to 2000.

Design/methodology/approach – The recently developed bounds testing approach to cointegration to test for a long run relationship is used, while the autoregressive distributed lag model is used to estimate short run and long run elasticities. These methodologies are shown to perform well in small sample sizes, particularly given that the bounds F-test critical values for small sample sizes generated by Narayan in 2004 and 2005 are used.

Findings – Amongst the key results it is found: a long run cointegration relationship among the variables when import demand is the dependent variable; and import demand to be inelastic and statistically significant at the 1 per cent level with respect to all the explanatory variables in both the long-run and the short-run.

Originality/value – The disaggregated import demand model estimated here provides a complete picture of the determinants of Fiji's imports. This model can be used by Fijian policy makers to draw pertinent policies and forecast import demand for Fiji.

The factors influencing churn rates among season ticket holders : an empirical analysis

Season ticket holders (STHs) are vital to professional sport club revenue and are purported to be the most loyal and involved of fans. Nonrenewal (churn) rates among STHs, however, often exceed 20%. Low member satisfaction, poor onfield performance and low game attendance have all been posited as explanations of high churn rates, but rarely empirically examined. The research reported here employed a unique study of over 4,500 STHs, incorporating both survey research and measures of actual behavior, to determine which variables best explain and predict churn within two professional sport teams. A variety of analytical techniques all suggest that the key variables predicting churn are length of relationship and the number of games attended. New, low attending STHs are over five times more likely to churn than long-term, frequent attendees. Typical management practice is to run reward schemes designed to increase attendance and encourage renewal. The results of this study suggest that fundamental differences in the way new, low attending members evaluate the season ticket product may render those schemes ineffective. Shifting the focus of these STHs toward the intangibles of the product, such as stronger feelings of involvement, a sense of community and increased patron worth, could be more effective at reducing churn.

Empirical analysis of customer behaviors in Chinese e-commerce

With the burgeoning e-Business websites, E-Commerce in China has been developing rapidly in recent years. From the analysis of Chinese E-Commerce market, it is possible to discover customer purchasing patterns or behavior characteristics, which are indispensable knowledge for the expansion of Chinese E-Commerce market. This paper presents an empirical analysis on the sale transactions from the 360buy website based on the analysis of time interval distributions in perspectives of customers. Results reveal that in most situations the time intervals approximately obey the power-law distribution over two orders of magnitudes. Additionally, time interval on customer’s successive purchase can reflect how loyal a customer is to a specific product category. Moreover, we also find an interesting phenomenon about human behaviors that could be related to psychology of customers. In general, customers’ requirements in different product categories are similar. The investigation into individual behaviors may help researchers understand how customers’ group behaviors generated.

Battlefield tourism - Anzac day commemorations at Gallipoli : an empirical analysis

This thesis used theoretical constructs of personal values, emotions, motives, event components of ceremony, transport and amenities to develop an empirical model that provided an understanding of the experiential components of the event and the antecedents associated with attendance, satisfaction and recommending behaviour of the Anzac Day Ceremonies at Gallipoli.

An empirical analysis of the Australian dollar swap spreads

This paper examines the relationship between the Australian dollar interest rate swap spread and the term structure of the interest rates, and also the determinants of interest rate swap spreads. For this purpose, we estimate the term structure of interest rates using the parsimonious fitting function of Nelson and Siegel [Journal of Business 60 (1987) 476] for the Australian government bonds and Australian interest rate swaps for certain maturities that are not available. We analyse the swap spread over the term structure of the government bonds and how changes in swap determinants affect the changes in swap spreads. The sample period covers the daily interval from 6 December 1996 to 31 December 1999.