The Redistributive Effects of a Minimum Wage Increase in New Zealand: A Microsimulation Analysis

This paper examines the potential effects on inequality and poverty of a minimum wage increase, based on a microsimulation model that captures the details of household composition and the income tax and welfare benefit system and allows for labour supply responses. Results suggest that, largely due to the composition of household incomes, a policy of increasing the minimum wage has a relatively small effect on the inequality of income per adult equivalent person, and a money metric utility measure, using several inequality indices. Hence, the minimum wage policy does not appear to be particularly well targeted, largely due to many low wage earners being secondary earners in higher income households, while many low income households have no wage earners at all. These results are reinforced when allowing for wage spillovers further up the wage distribution. Nevertheless, a minimum wage increase can have a more substantial effect on some poverty measures for sole parents in employment.     

External funding of major capital projects in the UK Higher Education sector: issues of demand,supply and market timing?

The aim of this paper is to consider the sources of finance used to support major capital expenditure in the UK Higher Education sector and to reflect on any differences between traditional corporate finance theory and practice in the UK university sector. Utilising both HESA data returns and published annual accounts, an in-depth analysis using a logit structure is carried out on data from the top 63 UK universities over the period 2014–2017, to establish the range of funding sources adopted for major capital projects, all set within the context of the UK macro environment and a period of low interest rates. The research also carries out a survey of funders to understand the decision criteria used by lenders active in the Higher Education sector and a survey of university finance directors to determine the use of the funds, the reasons behind past lending decisions and to ascertain likely future demand for finance to fund major capital projects.     

The Roles of Innovators and Labor in a Schumpeterian Factor Endowments Based Model of Intra‐industry Trade

This paper builds a model of Schumpeterian innovation and trade that emphasizes endowments of innovators and labor as a key factor in determining the pattern of trade. The model suggests a strong complementarity between intra‐industry and inter‐industry trade. The pattern of inter‐industry vs intra‐industry trade is analyzed using the Grubel–Lloyd index. The theoretical model predicts that the prominence of intra‐industry trade is a nonlinear function of the ratio of the proportion of world knowledge domestically generated to the domestic share of the world labor supply. Strong empirical evidence for this key result is presented and implications are discussed.     

A Segmentation of Volunteers at the 2013 Austin City Limits Music Festival: Insights and Future Directions

Volunteers at music festivals play a critical role in festival operation and success. As the music festival industry continues to grow, the ability for these large productions to effectively execute a large volunteer program is augmented. Volunteers from the 2013 Austin City Limits Music Festival were surveyed in regards to their self-image congruency, motivation, satisfaction, and intent to return as a volunteer at the festival. Analysis resulted in three distinct segments which has significant practical implications for festival management. Academic implications exist with the addition of self-image congruency and further discovery of volunteers in the festival and event industry.     

LearnSmart,adaptive teaching,and student learning effectiveness: An empirical investigation

Facing the growing number of digital natives entering the classroom, business professors look for innovative ways to enhance the student learning experience. The authors focus on the online interactive learning tool LearnSmart (McGraw-Hill, New York, NY), and examine its impact on student learning effectiveness by testing the direct and indirect relationships among perceived competence, perceived challenge, instructors, perceived value, and satisfaction with LearnSmart. Constructionism served as the theoretical foundation for this study. About 215 students at a public university in the United States took the survey and 197 valid responses were received. Regression analysis results showed that the use of LearnSmart improved students' perceived competency, thus increasing their perceived value of using LearnSmart, as well as their satisfaction with LearnSmart. Perceived value was also found to mediate the impact of perceived competency on satisfaction with LearnSmart, and the instructor played a significant role in facilitating and improving student learning. Perceived challenge impacted student's perceived value of using LearnSmart, but it did not influence satisfaction with LearnSmart.     

Examining the efficacy of self-classification approach in segmenting special-interest tourists: food tourism case

Self-classification is used as an a priori approach to tourist typology and market segmentation. However, skepticism still surrounds its ability to incorporate the multidimensionality of tourist behavior. This study seeks to empirically verify the efficacy of a single-item self-classification approach. The robustness of this self-classification measure is examined by comparing it to a data-driven multidimensional psychographic approach in terms of its ability to predict the behaviors of tourists toward food-related destination consumption. Results suggest that the single-item self-classification approach performs equally well as the psychographic approach in segmenting food-related consumption behaviors. The implications and limitations of this study are also discussed.     

Bundling attractions for rural tourism development

Tourism is often regarded as a viable solution to economic crisis, especially for remote areas without many development options. While many tourism destinations have strong cultural or heritage assets, not all destinations have primary attractions that can bring visitors to the region. Rather than developing special interest “themes”, rural areas that do not have enough of any one type of tourism resource to act as a primary draw may consider bundling different attraction types to increase visitation. The purpose of this study is to investigate the preferences of visitors to secondary heritage sites and explore the relationship between heritage tourism and alternative, non-heritage activities in rural areas. Findings revealed that motivation to visit small-scale heritage sites consisted of two dimensions: learning and recreation. The two motivational dimensions influenced visitors’ interest in different heritage attractions and likelihood of visiting heritage tourism “scenarios”. As for alternative activities, there was a cluster of “popular” activities that were enjoyed by both learning-oriented and recreation-oriented respondents, but recreation-oriented visitors were more interested in nature-based activities and sport-related activities than learning-oriented visitors. Findings can help rural communities improve secondary attractions and diversify their tourism product by bundling heritage attractions with non-heritage activities.