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This empirical study aims to examine the COVID impact on the rate of return to schooling in 20 US industries.

An extended Mincer earnings equation with the COVID dummy variable and dummy interactive terms is used to examine the COVID effect on the rate of return to schooling for different industries. We use Heckman selection model to account for sample selection bias.

During COVID years, the change in the wage differential between college-and-above and below-college workers is different for industries, which leads to different changes in the rate or return to schooling among the 20 industries. During COVID, the rate of return to schooling increased for seven industries, decreased for seven industries and remained the same for six industries.

There is a lack of empirical tests of recession effects on the rate of return to schooling focusing on industry differentials. This study fills the research gap in this field. Our results will contribute to the ongoing discussion of the COVID impact on wages and returns from human capital investment.

These tandem papers – authored by Niels-Hugo Blunch and Craig Gundersen, Thomas Kelly, and Kyle Jemison – add to a long line of work that identifies the features of childhood and family that influence youngsters’ propensity to enter and stay in school. What's intriguing from the start of both reports is the variability in conditions in which children are growing up, evident in both Ghana and Zimbabwe. In these societies, between one-sixth and one-fifth of children, roughly between the ages of 6 and 16 years, are not attending school.

We examine the effect of orphan status on school enrollment in Zimbabwe, a country strongly impacted by the HIV/AIDS pandemic with a rapidly growing population of orphans. Using data from 2002, after controlling for other determinants of enrollment we find that orphans are less likely to attend school than non-orphans. Two additional results have implications for targeting: we find that the effect of being an orphan is especially large for older children and that, after controlling for previous education, the effect of being an orphan on school enrollment sharply declines.

Recent academic studies, as well as media reporting, have devoted substantial attention to the ongoing “crisis of democracy.” Democratic “backsliding” of Central and Eastern Europe – sometimes referred to as an effort to establish a new system of “illiberal democracy” – is one of the most visible symptoms of this crisis. This narrative is supported by the quantitative metrics of democratic quality, reflecting professional community views on the appropriate criteria to define and assess democracy. However, once general public views expressed in the survey item of “satisfaction with democracy” are taken into account, the picture changes markedly. This chapter analyzes quantitative metrics reflecting expert community consensus and the general public assessment of the quality of democracy in the 27 EU members over the period 2010–2019. It documents substantial divergence between the perspectives of the experts and the general public – while expert-based indexes portray Central and Eastern European backsliding as the most significant trend in the EU democratic landscape, public opinion identifies a very different set of democracy's successes and failures. As experts and the general public fail to arrive at mutually accepted criteria of democratic performance evaluation, public debate has become futile. Meaningful discussion and systemic corrections have become unlikely, creating conditions easily exploitable by the populists, eager to frame it as an example of “elite” detachment from the “ordinary people”.

This study aims to examine the direct relationships between behavioral intention and factors driving the growth of the wellness tourism industry in the USA. Relationships were hypothesized based on alternative explanations for the rise in popularity of wellness tourism in research streams.

Two models were estimated and tested using the theory of planned behavior (TPB), each incorporating two constructs – Life stress and involvement in health – in addition to theoretically stipulated precursors to Behavioral Intention.

Both constructs were found to be significant predictors of behavioral intention. However, involvement proved a much stronger predictor than life stress. Implications for the management and marketing of this subsector are discussed in the paper.

This study extends the understanding of travelers’ behavioral intentions in the context of wellness tourism by using an extended TPB, with life stress and involvement in health and wellness considered. The study compares general travelers with current/potential wellness travelers (excluding those whose sole purpose was wellness) and the factors that influence their travel behavior.

This study examines the relationship between food experience, emotion, place attachment, and tourists' revisit behavioral intention. A survey questionnaire is conducted on-site in Lukang and distributed to 408 tourists. The dimensions of food experience are established through factor analysis, and a hypothesized model of the relationships between the constructs is tested using structural equation modeling (SEM). The results indicate that tourists' food experiences included local flavor, media recommendation, local learning, life transfer, and interpersonal sharing. In addition, food experience has a significant impact on emotion and place attachment, and emotion has a substantial effect on place attachment. Finally, place attachment significantly impacts tourists' revisit behavioral intention. The study makes a significant theoretical contribution by identifying food experience, emotion, and place attachment as the salient predictors of heritage tourists' revisit intention. Furthermore, the study suggests that food experiences enhance effective bonding at tourism destinations.

Money laundering, casinos and the Internet may become unavoidably intertwined in the next decade. Money laundering is the process by which criminals transform the money that they receive from criminal activities into funds that appear to have been generated by lawful means and cannot be traced by law enforcement to their illicit sources. While the magnitude of money laundering is unknown, law enforcement authorities estimate that it consists of an annual $100bn‐$300bn in US currency, and a rough estimate of an ‘annual worldwide … range of $300 to $500 billion’.

In recent years, OpenGLAM and the broader open license movement have been gaining momentum in the cultural heritage sector. The purpose of this paper is to examine OpenGLAM from the perspective of end users, identifying barriers for commercial and non-commercial reuse of openly licensed art images.

Following a review of the literature, the authors scope out how end users can discover institutions participating in OpenGLAM, and use case studies to examine the process they must follow to find, obtain and reuse openly licensed images from three art museums.

Academic literature has so far focussed on examining the risks and benefits of participation from an institutional perspective, with little done to assess OpenGLAM from the end users’ standpoint. The authors reveal that end users have to overcome a series of barriers to find, obtain and reuse open images. The three main barriers relate to image quality, image tracking and the difficulty of distinguishing open images from those that are bound by copyright.

This study focusses solely on the examination of art museums and galleries. Libraries, archives and also other types of OpenGLAM museums (e.g. archaeological) stretch beyond the scope of this paper.

The authors identify practical barriers of commercial and non-commercial reuse of open images, outlining areas of improvement for participant institutions.

The authors contribute to the understudied field of research examining OpenGLAM from the end users’ perspective, outlining recommendations for end users, as well as for museums and galleries.