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The purpose of this study is to analyse the background and consequences of the Spanish job market on the employment conditions of Spanish women and on underlying attitudes on gender role in the working environment.

From the European Social Survey (2004, 2008, 2010, 2016), the authors draw a sample of 3,706 individuals aged from 25 to 64 years old living in Spain. The sample allows the authors to make estimations from several aggregation levels depending on gender (men and women) and generational cohort (baby boom and X generation).

Education improves the perception of women’s work among both men and women. The role of education is especially interesting for older people. Educational levels help women adapt to a changing context, promote female participation in the job market and protect them from unemployment situations. This study demonstrates that both gender and generational cohort moderate the impact of education on gender labour attitudes and working status.

Finally, this work is not exempt from limitations. For example, the use of cross sections does not allow the authors to obtain a richer set of causal relationships than the use of panel data would allow them. In addition, it would be interesting to replicate the study of gender labour attitudes among human resource managers and workers to have a broader view of what happens within companies.

The main contribution to the state of the art is to demonstrate that both gender and generational cohort moderate the impact of education on gender labour attitudes and working status. In addition, this study analyses whether gender labour attitudes change throughout the economic cycles, because population characteristics change (endowment effect) and/or because the same characteristics have different impacts (coefficient effect).

This study examines how women and men in family firms respond differently when asked about perceptions of financial performance. The study poses three research questions around this topic: Are there differences among female and male responses, do those perceptions change if men and women are leaders of the family business and does the family's socioemotional wealth (SEW) influence such responses.

This study uses a quantitative research design to determine if financial performance perceptions of family firms differ based on the gender of the respondents and their leadership position, and second, if SEW's dimensions influence those perceptions, using data from the Successful Transgenerational Entrepreneurship Practices (STEP) survey in 2015.

The findings indicate that due to the lack of theory regarding gender as a social construct, empirical data collected for family business studies should take under consideration if respondents are women, men, leaders and the family influence in the family business when collecting data from surveys and asking for perceptions of financial performance. Results show that women in family businesses tend to have more positive perceptions of financial performance than men, but if women are leaders, those perceptions not only decrease but become negative. In addition, the family's socioemotional wealth (SEW) exacerbates those tendencies.

This study contributes to the literature by helping to understand the potential limitations of subjective measures of financial performance, as women increasingly become family business leaders. It also contributes to gender studies by demonstrating that there is a lack of gender theoretical perspectives specifically, gender roles, suggesting that differences in self-promotion and self-evaluation between men and women leaders of their family firms. Finally, this study adds to the study of SEW as a multidimensional construct by showing the different effects, or lack of them by each dimension and showing the strong effect of family continuity on the perception of financial performance.

The COVID-19 pandemic has significantly impacted global tourism, with international travel bearing the burden of restrictions. Domestic tourism has also faced substantial challenges. This paper aims to analyse the impact of the COVID-19 pandemic on domestic tourism in Spain, focusing on travel from Madrid (the country’s capital) to other tourist destinations.

Mobile phone data has been used to study the evolution of tourist trips over the summers of 2019, 2020 and 2021. Regression models are used to explain the number of visitors at destinations.

The pandemic not only caused a drastic drop in tourist flows but also disrupted the overall pattern of the domestic flow system. Winning destinations were typically areas in proximity to Madrid and less densely populated destinations, while urban destinations were major losers. The preferences of domestic tourists varied notably by income group, but the decrease in trip volumes showed only marginal differences.

The paper demonstrates the potential of mobile phone data analysis to study the uneven impact of external shocks, such as the COVID-19 pandemic, on tourist destinations. This approach considers spatial resilience heterogeneity within regions or provinces. By incorporating income information, the analysis introduces a social dimension to highly detailed spatial data, surpassing traditional studies conducted at the regional or national levels.

COVID-19大流行对全球旅游业产生了重大影响，国际旅行受到了限制的影响最为严重。国内旅游也面临着重大挑战。本文分析了COVID-19大流行对西班牙国内旅游的影响，重点关注从马德里（该国首都）到其他旅游目的地的旅行。

本研究使用移动电话数据研究了2019年、2020年和2021年夏季旅游出行的演变。采用回归模型解释了各目的地游客数量。

大流行不仅导致了旅游流量急剧下降，还扰乱了国内流动系统的总体模式。获胜的目的地通常是马德里附近的地区和人口较稀少的目的地，而城市目的地是主要的输家。国内游客的偏好在收入群体之间有明显差异，但旅行量的减少只显示出边际差异。

本文展示了使用移动电话数据分析研究外部冲击（如COVID-19大流行）对旅游目的地的不均匀影响的潜力。该方法考虑了区域或省份内的空间弹性异质性。通过整合收入信息，该分析为高度详细的空间数据引入了社会维度，超越了传统在区域或国家水平进行的研究。