Well-being effects of self-employment: A spatial inquiry

Our paper presents an empirical analysis of entrepreneurial well-being using a large-scale longitudinal household survey from the UK that tracks almost 50,000 individuals across seven waves over the period 2009–2017, as well as a number of exploratory case studies. We contribute to the existing literature by investigating how entrepreneurial well-being varies across locations along the urban-rural continuum, and across wealthy-deprived neighbourhoods. We use a Coarsened Exact Matching (CEM) approach to compare the well-being outcomes of individuals who switch into self-employment from waged employment, and show that entrepreneurial well-being, in the form of job satisfaction, is significantly higher for those living in semi-urban locations, relative to those living in urban and rural locations. We argue that semi-urban locations provide an optimal combination of ease of doing business and quality of life. Our results also show that individuals in wealthy neighbourhoods who switch into self-employment experience higher job satisfaction than otherwise comparable individuals living in materially deprived neighbourhoods, although the latter experience greater levels of life satisfaction following the switch.     

Raising the Bar (3)

This editorial summarizes and comments on the papers published in issue 11(3) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper proposes spatial and a-spatial indicators to describe the networks of airline companies around the world. The second paper sets forth a two-regime gravity-type model with an endogenous threshold parameter to assess the effect of labour market conditions on interregional migration flows. The third paper utilizes micro-data to explain student migration flows to higher education institutions. The fourth paper is among the first to make use of simulation-based location quotients in a multiregional input–output model. Finally, the last paper provides a purely economic–theoretical model on cooperative limit pricing in the context of spatial competition.     

Raising the bar (4)

This editorial summarizes and comments on the papers published in issue 11(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper deals with common factors and spatial dependence in the error term specification of a production function model. The second paper sets forth a New Economic Geography (NEG) model with production activities that vary in their complexity, so as to analyse the impact on specialization patterns across different regions. The third paper measures the efficiency of local public investments using a relatively unknown econometric technique in which the time span over which the variables in the regression equation are measured is increased by one time period every run. The fourth paper adopts a conditional quantile regression approach to determine the impact of people employed in informal jobs on the wage distribution in Colombia and five of its regions. Finally, the last paper proposes and tests two new Bayesian variable selection approaches for spatial econometric models.     

Raising the bar (6)

Raising the bar (6). Spatial Economic Analysis. This editorial summarizes and comments on the papers published in issue 12(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper addresses the question of whether ‘jobs follow people’ or ‘people follow jobs’. The second paper develops a new methodology to determine functional regions. The third paper is a major contribution to the growing literature on new modelling approaches and applications of disaster impact models. The fourth paper focuses on the costs and benefits of higher education. The fifth paper develops a two-step procedure to identify endogenously spatial regimes in the first step using geographically weighted regression, and to account for spatial dependence in the second step. Finally, the sixth paper estimates a dynamic spatial panel data model to explain house prices and to show that restricted housing supply in the city of Cambridge, UK, has some undesirable labour market effects.     

Consumer morality in times of economic hardship: evidence from the European Social Survey

Crimes of everyday life, often referred to as unfair or unethical practices committed in the marketplace by those who see themselves and are seen as respectable citizens, have burgeoned as a result of the transformations in the European economy in the late 20th century, namely the transition to neo‐liberal markets and the emergence of consumer society. A ‘cornucopia of new criminal opportunities’ has given rise to a new range of crimes such as ripping software, making false insurance claims or paying cash on hand to circumvent taxes. These shady behaviours (legal or not) are part of people's experience, albeit they are collectively regarded as morally dubious. Taken collectively, crimes of everyday life are indicators of the moral stage of a particular society and therefore a valuable instrument for social and political analysis. This paper addresses the question of whether and under which conditions feelings of economic hardship trigger crimes of everyday life. A multilevel theoretical and empirical perspective that integrates theories stemming from political science, sociology, and social psychology is adopted. I start by exploring the embeddedness of economic morality in social institutions, followed by an elaboration of the concept of market anomie to account for deviant behaviour in the marketplace, to finally step down to the examination of the correspondence between social attitudes and consumer behaviour, as postulated by the Theory of Planned Behaviour. The empirical study relies on micro data from the European Social Survey (ESS) (Round 2) and attempts to model, for each country, a formative measure of crimes of everyday life based on socio‐demographic variables and the current economic situation, as it is perceived by the individual (taken as a measure of relative deprivation). The resultant country‐specific regression coefficients are mapped onto the broader economic and normative context of 23 European countries. The results reveal that crimes of everyday life are driven by feelings of economic hardship only in countries where normative factors dictate their deviance. In countries where fraudulent behaviour is more generalized, inner motivations to offend play a secondary role as the more privileged consumers are more likely to commit fraud as they interact more often with the market. In turn, normative aspects result from a dynamic interplay of cultural and economic factors. As the economy grows faster, the tendency to offend in the market becomes more visible, but only in countries whose gross domestic product (GDP) stands above the European average. In countries with low GDP, the normative landscape is shaped by cultural factors that seem to obfuscate the power of economic factors favourable to consumer fraud.     

Volunteerism,compassion and religiosity as drivers of donations practices

• The topic of donations is one of high relevance and has been widely covered in contemporary marketing literature. It is a topic of interest to both theoreticians and practitioners alike, particularly due to its implicit links to fundraising activities and research. The reality of what makes an individual donor ultimately part with his money and give it away to a nonprofit organization is a hot contemporary topic. This study looks into the role of religiosity as a predictor of donations practices. Also volunteerism and compassion, two acts of pro‐social behaviour are analysed as predictors of donations practices. Using data collected from a survey of 612 charity donors in Portugal, the results show unequivocally that religiosity does influence donations practices, and so being a predictor of donations practices. Moreover, pro‐social behaviour is a predictor of donations practices when in the case of volunteerism, but not in the form of compassion.
• The findings are particularly useful for nonprofit organizations that want to attract and retain individual charitable donors and may also help to increase donation regularity, to obtain higher amounts, and donations both to religious and to secular organizations. Finally, it can be stated that the understanding of religiosity sheds light on knowledge about donations practices, and that this study also makes an important contribution to academia, as it is the first study conducted in Portugal that assesses the drivers of donations practices.

Copyright © 2015 John Wiley & Sons, Ltd.     

Diversity and business performance: 50 years of research

This study has carried out a review of the literature appearing on diversity in the last 50 years. Research findings from this period reveal it is impossible to assume there is a pure and simple relationship between diversity and performance without considering a series of variables that affect this relationship. In this study, emphasis has been placed on the analysis of results arrived at through empirical investigation on the relation between the most studied dimensions of diversity and performance. The results presented are part of a more extensive research.     

Raising the bar (5)

Raising the bar (5). Spatial Economic Analysis. This editorial summarizes and comments on the papers published in this issue 12(1) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper examines the impact of the level of education on the decision to migrate and finds that it is approximately twice as large if both variables are modelled simultaneously. The second paper is one of the first papers to introduce a spatial component to models of international environmental agreements and to develop an exciting overlap with New Economic Geography. The third paper provides a tool, applied to Beijing, with which urban economic planners can investigate the role of variation and selection mechanisms in cluster development and identify possible paths of growth. The fourth paper contributes to the existing literature on retail geography by examining the role of consumption possibilities as an urban amenity. The fifth paper develops a Bayesian estimator of a linear regression model with spatial lags among the dependent variable, the explanatory variables and the disturbances. Finally, the sixth paper develops a semi-parametric generalized method of moments (GMM) estimator for a spatial autoregressive model with space-varying coefficients of the explanatory variables and a spatial autoregressive coefficient common to all units.     

Measuring the Effects of Event Sponsorship: Theoretical Frameworks and Image Transfer Models

The use of event sponsorship or other types of sponsorship as a means to establish, enhance, or change brand image is a fairly common practice for a variety of organizations. This objective has been identified as one of the two most common goals for organizations to engage in sponsorship programs. The rationale behind the popularity of sponsorship as a marketing tool to achieve image goals is the general assumption that, by linking a brand to an event, the image of the event can be transferred to the image of the sponsor.

Despite the increasing sophistication of event sponsorship and rising academic interest in understanding sponsorship practice, there is still a lack of in-depth understanding of how sponsorship processes work, in particular in what concerns its brand outcomes. The article addresses this issue by documenting, examining, and critically assessing the existing literature. The main explanations of brand image transfer, including theoretical frameworks and models, are presented; empirical research, divided into effectiveness of brand image transfer and the factors affecting such process, is analyzed; and two main issues found in the more recent articles—direction of brand image transfer and multiple sponsorships—are discussed. Finally, existing gaps are identified and research propositions are presented to guide future research.     

Raising the bar (11)

This editorial summarizes the papers published in issue 14(2) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper deals with past and current challenges for regional science research. The second paper investigates whether people living in deprived neighbourhoods have less chance of succeeding in a job application. The third paper finds evidence that real estate firms can avoid price competition when market shares of their allies increase in the vicinity. The fourth paper is methodological: it considers a spatial autoregressive (SAR) model with heterogeneous coefficients and extensively analyzes the impact of this extension on the direct and indirect effects estimates. The fifth paper proposes an innovative method to estimate the elements of the spatial weight matrix in a spatial econometric model. The final paper is econometric–theoretical: it proposes a new generalized method of moments (GMM) estimator of the coefficients of a SAR model if the error terms are heteroskedastic of an unknown form.