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This study aims to shed light on the relationship between gender diversity and group performance by considering the moderating role of relative cultural distance. Drawing from the categorization–elaboration model (CEM), the authors hypothesize that gender-diverse collaborative learning groups perform better when a low level of relative cultural distance in country-level individualism–collectivism or power distance exists among group members.

To test this hypothesis, the authors conducted a study on 539 undergraduate students organized into 94 groups. The assessment of group performance was based on scores given by external raters.

The authors found that relative cultural distance significantly moderated the gender diversity–group performance relationship such that gender diversity was positively related to group performance when the collaborative learning group included members who similarly valued individualism–collectivism or power distance (i.e. relative cultural distance was low) and was negatively related to group performance when the collaborative learning group comprised members who differently valued individualism–collectivism or power distance (i.e. relative cultural distance was high).

This study contributes to understanding when gender diversity is positively associated with group performance by expanding the range of previously examined diversity dimensions to include relative cultural distance in country-level individualism–collectivism and power distance.

The purpose of this paper is to show that the environmental income drives economic growth of a large open country.

The authors detect that the relative environmental income has double effect of “conspicuous consumption” on the international renewable resource stock changes when a new social norm shapes to environmental-friendly behaviors by using normal macroeconomic approaches.

Every unit of extra demand for renewable resource consumption increases the net premium of domestic capital asset. Even if the technology spillovers are inefficient to the substitution of capital to labor force in a real business cycle, the relative income with scale effect increases drives savings to investment. In this case, the renewable resource consumption promotes both the reproduction to a higher level and saving the potential cost of environmental improvement. Even if without scale effects, the loss of technology inefficient can be compensated by net positive consumption externality for economic growth in a sustainable manner.

It implies how to earn the environment income determines the future pathway of China’s rural conversion to the era of eco-urbanization.

We test the tax incidence to demonstrate an experimental taxation for environmental improvement ultimately burdens on international consumption side.

With the use of the grey incidence analysis (GIA), indicators such as the absolute degree of grey incidence (ε_ij), relative degree of grey incidence (r_ij) or synthetic degree of grey incidence (ρ_ij) are calculated. However, it seems that some assumptions made to calculate them are arguable, which may also have a material impact on the reliability of test results. In this paper, the authors analyse one of the indicators of the GIA, namely the relative degree of grey incidence. The aim of the article was to verify the hypothesis: in determining the relative degree of grey incidence, the method of standardisation of elements in a series significantly affects the test results.

To achieve the purpose of the article, the authors used the numerical simulation method and the logical analysis method (in order to draw conclusions from our tests).

It turned out that the applied method of standardising elements in series when calculating the relative degree of grey incidence significantly affects the test results. Moreover, the manner of standardisation used in the original method (which involves dividing all elements by the first element) is not the best. Much more reliable results are obtained by a standardisation that involves dividing all elements by their arithmetic mean.

Limitations of the conducted evaluation involve in particular the limited scope of inference. This is since the obtained results referred to only one of the indicators classified into the GIA.

In this article, the authors have evaluated the model of GIA in which the relative degree of grey incidence is determined. As a result of the research, the authors have proposed a recommendation regarding a change in the method of standardising variables, which will contribute to obtaining more reliable results in relational tests using the grey system theory.

Several studies have been made that analyze factors that affect the demand of tourism from several optics. This paper aims to study the factors that determine the demand for tourism in Mexico, through an econometric analysis, by using the Johansen cointegration model (1991) to determine the long-term elasticity between the demand of tourists and the wealth related to its main markets (the USA and Canada) and the relative prices in Mexico and its two main competitors (the Dominican Republic and Costa Rica).

The authors used econometric analysis using Johansen’s cointegration model (1991), using as a dependent variable the demand of tourists from the main countries of origin (the USA and Canada), taking as data the number of tourists by air in the period 1980-2015, according to information from the SIIMT. The independent variables are the relative wealth of the country of origin of the tourists (wealth of the tourist in Mexico concerning the wealth in their country of origin) and the relative prices of the destination country with respect to the country of competition. The source for per capita income and the consumer price index is the World Bank.

The results obtained in this document show that in the long-term the price is a factor of impact in the purchase decision of both markets analyzed. Presenting an elastic demand to the price, which implies that the market is sensitive to the variations of the price of tourist services, opting for the destination that offers better prices, with a higher sensitivity to the price when compared with Costa Rica. Coinciding with previous studies carried out in other tourist destinations, such as in the work of Patsouratis et al. (2005).

The main contribution of this work is to determine the long-term relationship, through a cointegration analysis of Johansen (1991). A methodology that has not been used to perform a competitive analysis between countries. Additionally, the present work uses variables different from those considered in previous works; the dependent variable is the demand of tourists from the main countries of origin (the USA and Canada) and as dependent variables the relative wealth of the country of origin of the tourists (Wealth of the tourist in Mexico with respect to wealth in their country of origin) and the relative prices of the destination country with respect to the country of competition.

Neither visitors of visiting friends and relatives (VFR) travel nor hosts are homogeneous segments (Griffin & Guttenberg, 2020). For this reason, this study aims to address students as hosts of VFR travel and analyzes differences in the visitor and the host segment. As a result, marketing implications for destination marketing organizations that seek to realize the potential of the student VFR segment arise.

This research project adopts a multi-method approach to derive a deeper empirical understanding of visitors’ behaviors and the role of students hosting friends and relatives (SHFR). The quantitative study aims to reveal the relevance and differences between visits to friends (VF) and visits to relatives (VR), whereas the qualitative study elaborates on the findings of the quantitative study and seeks to understand the role and experiences of students as hosts.

The findings reveal that VR and VF travelers vary in terms of their expenditure. Hosts’ spending depends on visitors’ budgets; in general, both their direct and indirect (when relatives pay) spending increases when they have visitors. Furthermore, the data identify two distinct hosting styles: functional hosting is concerned with providing outstanding hospitality based on a more traditional, guest-oriented understanding of the role, whereas integrative hosting blurs the lines between hospitality and lifestyle based on a more modern, host-oriented understanding of the role.

Regarding limitations, this study did not differentiate between students who were simultaneously locals and students who resided in the city only for study purposes. In a similar vein, the cultural background of the students was not considered in the research. Finally, the differences between VF and VR could further be explored in a quantitative follow-up study and in testing for significant differences in SHFR spending behaviors. Further research could examine whether domestic travelers, travelers with cultural proximity and/or short-distance VFR travelers are more likely to visit after COVID-19 as suggested by Backer and Ritchie (2017) in the case of crises and disaster.

Students as hosts differ from other hosts in VFR travel in their reluctance to embrace conventional tourism products. This study found that place attachment makes hosts of VFR travelers passionate ambassadors and advertisers for the destinations; destination marketing organizations (DMOs) could support this already positive image by providing and supporting students with more detailed information about their cities and the opportunities they offer. Results are of particular relevance because the COVID-19 pandemic is forcing DMOs to develop destination strategies that incorporate social-distancing and avoid crowded places.

When students take their friends out to events and nightclubs, they contribute significantly to experiences that go beyond typical tourism activities such as sightseeing and shopping. By offering special discounts to visitors who come with their hosts, DMOs could help visitors delve more deeply into city life and thereby reduce the likeliness of crowded city centers. Considering the findings relating to the social and emotional qualities of VFR travel, DMO marketing to VFR travelers could benefit from promoting socio-cultural spaces and offerings that value groups’ social ties (e.g. family prices for families with adult children) or alumni status.

According to the authors’ knowledge, this study is the first which analyzes both, visitors and hosts of VFR travel using a two methods approach. Very recently, Griffin and Guttenberg (2020) miss VFR research focusing on the heterogeneity of the segment, and Backer et al. (2020) claim for more VFR research on the role of hosts carried out outside of Australia, New Zealand, Canada, the UK and the USA. To the authors’ best knowledge, this study is the first which delivers empirical insights on SHFR in Central Europe.

This study explores whether targeted microcredit can effectively alleviate households’ multidimensional relative poverty (MdRP) in rural China in the new era following the poverty elimination campaign and discusses it from a gendered perspective.

This study applies a fixed-effects model, propensity score matching (PSM) and two-stage instrumental variable method to two-period panel data collected from 611 households in rural western China in 2018 and 2021 to explore the effects, mechanisms and heterogenous performance of targeted microcredit on households’ MdRP in the new era.

(i) Targeted microcredit can alleviate MdRP among rural households in the new era, mainly by reducing income and opportunity inequality. (ii) Targeted microcredit can promote women’s empowerment, mainly by enhancing their social participation, thereby helping alleviate households’ MdRP. The effect of the targeted microcredit on MdRP is more significant in medium-educated women households and non-left-behind women households. (iii) The MdRP alleviation effect is stronger in villages with a high degree of digitalization.

Learn from the experience of targeted microcredit. Accurately identify poor groups and integrate loan design into financial health and women empowerment. Particularly, pay attention to less-educated and left-behind women households and strengthen coordination between targeted microcredit and digital village strategies.

This study clarifies the effect of targeted microcredit on women’s empowerment and households’ MdRP alleviation in the new era. It also explores its various effects on households with different female characteristics and regional digitalization levels, providing ideas for optimizing microcredit.

This paper explores the empirical relationship between population age structure and bilateral trade.

The author includes age structure in both log and Poisson pseudo-maximum likelihood (PPML) formulations of the gravity equation of trade. The author studies relative age effects, using differences in the demographic structure of each country-pair.

The author finds that a relatively larger share of population in working age increases bilateral exports. This is robust to various estimation models, as well as to changes in the method of specifying the demographic controls. Old-age shares have a negative, but less robustly estimated impact on trade. Estimating instead the balance of trade between trading partners produces similar results, with positive effects of age structure peaking later in working life.

Global populations are poised to undergo a massive transition. Trade a crucial way that the demographic deficits of one country may be offset by the dividends of another as comparative advantages shift along with the size and strength of their underlying workforce.

The author’s work is among the first to quantify the effect of relative age structure between two countries and their bilateral trade flows. Focusing on the aggregate flows, relative age shares and PPML estimates of the trade relationship, this paper provides the most comprehensive picture to date on how age structure affects trade.

This research investigates when and how brands influence attribute importance weights. Most past studies modelling consumer decision processes treated the brand of a product as an attribute parallel to the price, color or size of a product, and as a result, those studies assigned an equal (i.e. non-contingent) importance weight across brands for each attribute. In contrast, this study introduces a brand-contingent attribute-weighting process, in which brand is a higher-order construct that influences attribute importance.

This study presents a multi-level choice model in which the importance weight of an attribute can vary across brands. This study then estimates the model using real purchase data and survey data from an airline industry.

This study finds that attribute importance weights are contingent upon two aspects of a brand – the perceived relative position of the brand and consumers’ brand usage experiences. Specifically, when consumers perceive a brand to be inferior to its competitors in a given attribute, they generally place greater weight on that attribute for that brand. In contrast, when consumers perceive a brand to be superior to its competitors in a given attribute, only consumers with extensive brand usage experiences place greater weight on that attribute for that brand.

The findings provide managerial insights on brand positioning and segmentation strategies using consumers’ brand usage experiences.

This study advances the literature on consumer decision processes by modeling an attribute-weighting process that is contingent upon brands. The present study models this process based on consumer behavior theories and estimates the model using real market data.

Assistive technology (AT) has been highlighted as a tool that can support self-management for people living with schizophrenia. A gap in the literature exists regarding the views held by the stakeholders involved in the health care of an individual living with schizophrenia regarding the potential use of AT to enable the self-management of this condition. The purpose of this paper is to explore how individuals living with schizophrenia, their relatives and their mental health care professionals view AT as a tool to facilitate self-management.

This mixed methods research paper will discuss the findings of the second stage of a two-stage research study. The paper will discuss the findings of questionnaires that were disseminated to service users living with schizophrenia, their relatives and the health-care professionals of a community mental health service in the Greater Dublin area.

The results indicate that the introduction of AT for the self-management of schizophrenia would be accepted by key stakeholders.

As AT continues to develop, it is clear from the findings presented in this paper that the main stakeholder groups involved in the care of an individual living with schizophrenia are amenable to the use of AT to facilitate the self-management of this condition. Further research is required to explore correct policing and management of its implementation.

This study is the first study of its kind within an Irish context to explore the use of assistive technology as a tool for self-management from the perspective of those experiencing schizophrenia, their relatives and the health-care professionals working alongside them.

The purpose of this paper is to analyze the ex ante projected future trajectories of real tourism exports and relative tourism export prices of the EU-15, conditional on expert real gross domestic product growth forecasts for the global economy provided by the Organisation for Economic Co-operation and Development for the years 2013-2017.

To this end, the global vector autoregression (GVAR) framework is applied to a comprehensive panel data set ranging from 1994Q1 to 2013Q3 for a cross-section of 45 countries. This approach allows for interdependencies between countries that are assumed to be equally affected by common global developments.

In line with economic theory, growing global tourist income combined with decreasing relative destination price ensures, in general, increasing tourism demand for the politically and macroeconomically distressed EU-15. However, the conditional forecast increases in tourism demand are under-proportional for some EU-15 member countries.

Rather than simply relying on increases in tourist income, the low price competitiveness of the EU-15 member countries should also be addressed by tourism planners and developers in order to counter the rising competition for global market shares and ensure future tourism export earnings.

One major contribution of this research is that it applies the novel GVAR framework to a research question in tourism demand analysis and forecasting. Furthermore, the analysis of the ex ante conditionally projected future trajectories of real tourism exports and relative tourism export prices of the EU-15 is a novel aspect in the tourism literature since conditional forecasting has rarely been performed in this discipline to date, in particular, in combination with ex ante forecasting.