Meanings of leisure for older people: an Australian study of line dancing

In Australia and in many parts of the world, older people participate in line dancing. Our phenomenological study explored whether attending a regular line dancing class might offer a group of older people opportunities for active and successful ageing. Our research investigated the meanings and practices fostered in a community line dancing class in Melbourne. We gathered data via an interview with the teacher of the group, observation of a class and two focus group interviews with 25 members. Data were analysed using Interpretative Phenomenological Analysis that is reported thematically under headings of: Belief in the efficacy of line dancing, Physical and emotional benefits, YouTube clips as instructional reinforcement and promotion, and Socialising. The findings show that participation in the class offered older student’s opportunities for dance and music engagement, active and successful ageing, health and well-being, social connection and purposeful leisure. The teacher of the class modelled serious and successful leisure and advocates for dance as holistic training for older people. We position our participants on a continuum of leisure engagement that ranges from the casual to the serious. Further research is required to support arguments for the efficacy of dance as a leisure pursuit for older adults.     

Why Do They Keep Coming Back? The Effect of Push Motives vs. Pull Motives,and Attribute Satisfaction on Repeat Visitation of Tourist Destinations

We conjecture that attribute satisfaction, push motives and pull motives will be positively related to return visitation of tourist destinations. We also hypothesize that push factors will be stronger related to return visitation of tourist destinations than pull factors, both directly and indirectly as mediators of the relationship between attribute satisfaction and return visitation. In addition, we predict that age and gender will moderate the effect of push and pull factors on repeat visitation. Finally, we argue that push factors and pull factors will be mutually reinforcing. To test these hypotheses, we conducted an online survey of repeat tourists’ motives, and received 986 complete responses. Survey participants were randomly chosen from a group that met a series or qualifying questions. PLS-SEM analysis of the data showed that, as we hypothesized, attribute satisfaction and push motives were positively related to repeat visitation. In contrast, pull motives were not related to repeat visitation, either directly or indirectly, but did reinforce the effect of push motives; gender did not moderate either push or pull motives and age moderated only pull motives. We discuss the theoretical and practical implications of these findings.     

The Effects of Minimum Wages on Low‐Skilled Immigrants’ Wages,Employment, and Poverty

Raising the minimum wage has been advanced as complementary policy to comprehensive immigration reform to improve low‐skilled immigrants’ economic well‐being. While adverse labor demand effects could undermine this goal, existing studies do not detect evidence of negative employment effects. We re‐investigate this question using data from the 1994 to 2016 Current Population Survey and conclude that minimum wage increases reduced employment of less‐educated Hispanic immigrants, with estimated elasticities of around –0.1. However, we also find that the wage and employment effects of minimum wages on low‐skilled immigrants diminished over the last decade. This finding is consistent with more restrictive state immigration policies and the Great Recession inducing outmigration of low‐skilled immigrants, as well as immigrants moving into the informal sector. Finally, our results show that raising the minimum wage is an ineffective policy tool for reducing poverty among immigrants.     

Another Take on Real Estate's Role in Mixed‐Asset Portfolio Allocations

This article examines real estate's role in institutional mixed‐asset portfolios using both private‐ and public‐real estate indices, as a means of examining varying real estate‐related risk/return opportunities. In so doing, this article also examines the effects of: (1) increasing the investment horizon, (2) placing constraints on the maximum allocation to any one asset class, and (3) varying the risk preferences of investors. The empirical results suggest—using infinite‐horizon returns and all of the caveats that accompany such a perspective—that real estate allocations of approximately 10–15% of the mixed‐asset portfolio represent an upper bound for most investors. For those investors preferring low‐risk portfolios, (unlevered) private real estate is the vehicle serving this allocation preference; for those investors preferring high‐risk portfolios, public real estate (with its embedded leverage of 40–50%) is the vehicle serving this allocation preference—with such vehicles serving as substitutes for a variety of noncore real estate strategies. In some sense, the distinction between private and public real estate is more about the use of leverage. For those investors preferring moderate‐risk portfolios, an intermediate‐leverage approach seems optimal.     

Ecological integrity as an economic variable: An application to forested landscapes in the southern United States

Ecological integrity is important to fully describe the development of an economy. We calculated an aggregate index that quantifies the closeness of a forested region to a natural state. This naturalness index was based on the diversity of native tree species and sizes for ecological subregions in a seral condition. The index used the spatial–temporal array of sample plots from the Forest Inventory and Analysis (FIA) database of the USDA Forest Service. In the 70 survey units of the southern US between 1961 and 2005 the naturalness of forests generally improved with per capita personal income and population. The increase with income was consistent with the hypothesis of an environmental Kuznets curve for forested landscapes.     

Traffic evacuation time under nonhomogeneous conditions

During many manmade and natural crises such as terrorist threats, floods, hazardous chemical and gas leaks, emergency personnel need to estimate the time in which people can evacuate from the affected urban area. Knowing an estimated evacuation time for a given crisis, emergency personnel can plan and prepare accordingly with the understanding that the actual evacuation time will take longer. Given the urban area to be evacuated, street widths exiting the area's perimeter, the area's population density, average vehicle occupancy, transport mode share and crawl speed, an estimation of traffic evacuation time can be derived. Peak-hour traffic data collected at three, midblock, Mumbai sites of varying geometric features and traffic composition were used in calibrating a model that estimates peak-hour traffic flow rates. Model validation revealed a correlation coefficient of +0.98 between observed and predicted peak-hour flow rates. A methodology is developed that estimates traffic evacuation time using the model.     

Firm Efficiency Differences and Distribution in the Kenyan Manufacturing Sector

Abstract: This article provides empirical evidence on technical efficiency differences and efficiency distribution for three Kenyan manufacturing subsectors, namely food, metal and textile, using an unbalanced panel data covering two periods. Econometric production frontiers are estimated for each subsector in each period. The confidence predictions for these efficiencies were, however, found to be quite wide. The results indicate variation of technical efficiency estimates of the sampled firms in each period. The technical efficiency distribution for each subsector changed not only in relation to itself, but also in relation to the other subsectors across the two periods of analysis. The efficiency distribution of the firms for both food and textile (metal) subsectors improved (declined) during the study period but with the food subsector firms remaining relatively inefficient. The improvement of the technical efficiency distribution for both the textile and food subsectors is an indication of intra‐plant improvement during the period of analysis. The decline of the technical efficiency distribution for the metal subsector suggests that the market orientation during the structural reform period did not promote firm efficiencies or the firms were slow in responding to the reforms.     

Projective customer competence: Projecting future customer needs that drive innovation performance

Projective customer competence is the ability of a product development organization to both understand as well as shape the future needs of customers. To conceptualize this competence and establish its antecedents and performance implications, we draw upon the literature on inter-organizational relationships and innovation. Based on survey data from managers involved with business to business product development, validated with secondary financial data and in-depth interviews, we establish measurement properties for projective customer competence and demonstrate that this competence develops through customer relationships characterized by relational embeddedness, knowledge redundancy and interactivity. Projective customer competence is also shown to have positive implications for both innovativeness and financial performance. Surprisingly, relational embeddedness is shown to be the strongest predictor of projective customer competence, and, while knowledge redundancy helps build projective customer competence, it also has a negative impact on innovativeness.