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We model the conditions under which parents optimally reallocate time to childcare when an outside agent exogenously restricts the number of hours an employer can demand of a working parent. Theoretically, when the restriction binds, a parent's available time increases. We exploit a series of voluntary and mandated labor-market reforms in South Korea that regulated the statutory and maximum work hours of parents. The government implemented the laws in stages by industry and size of firms. This implementation process generates exogenous variation across families where one or both partners worked at jobs that were or were not affected by the reform. We show the reforms affected work hours and use the predicted changes to investigate the total amount they spent on paid childcare and whether or not they changed the relative use of market and parental care. When fathers get more time (work less), parents spend less money on childcare. A change in mother's work time does not affect expenditures. When parents get more time, they are more likely to spend money on paid childcare for school-age children and more likely to use private academies.

Work-life flexibility policies (e.g., flextime, telework, part-time, right-to-disconnect, and leaves) are increasingly important to employers as productivity and well-being strategies. However, policies have not lived up to their potential. In this chapter, the authors argue for increased research attention to implementation and work-life intersectionality considerations influencing effectiveness. Drawing on a typology that conceptualizes flexibility policies as offering employees control across five dimensions of the work role boundary (temporal, spatial, size, permeability, and continuity), the authors develop a model identifying the multilevel moderators and mechanisms of boundary control shaping relationships between using flexibility and work and home performance. Next, the authors review this model with an intersectional lens. The authors direct scholars’ attention to growing workforce diversity and increased variation in flexibility policy experiences, particularly for individuals with higher work-life intersectionality, which is defined as having multiple intersecting identities (e.g., gender, caregiving, and race), that are stigmatized, and link to having less access to and/or benefits from societal resources to support managing the work-life interface in a social context. Such an intersectional focus would address the important need to shift work-life and flexibility research from variable to person-centered approaches. The authors identify six research considerations on work-life intersectionality in order to illuminate how traditionally assumed work-life relationships need to be revisited to address growing variation in: access, needs, and preferences for work-life flexibility; work and nonwork experiences; and benefits from using flexibility policies. The authors hope that this chapter will spur a conversation on how the work-life interface and flexibility policy processes and outcomes may increasingly differ for individuals with higher work-life intersectionality compared to those with lower work-life intersectionality in the context of organizational and social systems that may perpetuate growing work-life and job inequality.

This chapter seeks to understand the intersection between eGovernment, social media, and digital inequalities by examining the disparate flow of information during the COVID-19 pandemic. Developed economies are increasingly transitioning to digital interfaces for information dissemination and provision of services. The authors explore the potential of, and challenges facing eGovernment by looking at the use of social media during the COVID-19 pandemic. This chapter employs a case study approach to probe the dynamics of government-initiated efforts at information dissemination through the Center for Disease Control and Prevention’s (CDC) website and social media account on Twitter. The analysis in this chapter uses NodeXL to examine communication roles played by government and non-governmental actors within this slice of the Twittersphere centered around CDC@gov. As the findings demonstrate, non-governmental actors played key roles in the dissemination of public health messaging. The authors analyze these data with an eye to the potential of social media for public health communication and extrapolate that understanding to the use of digital access and social media for the provision of accurate, official information in other circumstances. While the COVID-19 pandemic was a global health crisis, individuals and households face individual or local crises every day. This angle of vision allows the chapter to conclude with recommendations pertaining to government-led information dissemination for the public good during crisis and non-crisis situations alike. In the concluding section, the authors probe the degree to which eGovernment can also address digital inequalities including connectivity, device, and literacy gaps. The authors offer solutions needed for eGovernment initiatives in light of challenges posed by digital inequalities to ensure that digital information sharing and services are accessible to all.

Mauritius is a Small Island Development State (SIDS) with limited resources, and it has been witnessed that many containers used for storing household and industrial products are made from plastic. When discarded as waste, those plastic containers pose a serious environmental and economic challenge for Mauritius. Moreover, landfill space is getting increasingly scarce, and plastic waste is contaminating both land and water. Therefore, it is of the utmost necessity to develop solutions for Mauritius' plastic wastes. Due to its abundance and accessibility, plastic waste is a promising material for recycling and energy production. One potential solution is the use of machine learning and artificial intelligence (AI) to predict household plastic consumption, allowing policymakers to design effective strategies and initiatives to reduce plastic waste. Such information is a critical component to be able to efficiently plan for the collection and routing of trucks when collecting recyclable plastics. The development of new strategies for the recycling of plastic waste and development of new industry can address the import and export potential of the country to achieve self-sustainability as well as contribute to reduction in plastic pollution and amount of waste landfilled. These plastics can thereafter be used effectively for recycling and for the making of 3D printing filaments which fall under the SDGs 9 (Industry, Innovation and Infrastructure) and 12 (Responsible consumption and production).

The burnout, stress, and work-life balance challenges faced by teachers have received renewed interest due to the myriad disruptions and changes to K-12 schooling brought about by the COVID-19 pandemic. Even prior to the pandemic, relatively little was known about teachers' time use outside of the classroom, the blurring of work and home boundaries, and how teachers compare to similar professionals in these regards. We use daily time-diary data from the American Time Use Survey (ATUS) for 3,168 teachers and 1,886 professionals in similarly prosocial occupations from 2003 to 2019 to examine occupational differences in time use. Compared to observationally similar non-teachers, teachers spend significantly more time volunteering at their workplace and completing work outside the workplace during the school year. On average, teachers spend 19 more minutes working outside of the workplace on weekdays than observably similar non-teachers and 38 more minutes on weekends. The weekend disparity is particularly large among secondary school teachers. This suggests that before the widespread switch to online and hybrid learning necessitated by the COVID-19 pandemic, teachers were already navigating blurrier work-life boundaries than their counterparts in similar professions. This has important implications for teacher turnover and for the effectiveness and wellness of teachers who remain in the profession.

This chapter will identify readily accessible existing sources of public data. Thechallenges of using that data are considerable and require extensive time to ensure validity for reporting purposes. Summaries of data field selection and data wrangling requirements are presented in conjunction with data aggregation strategies.

This chapter aims to verify predictors of marital quality in Croatia. As a theoretical starting point, the Huston Socio-ecological model was used. Huston’s so-called “wide-angle and close range” variables were included in to study as predictors of marital quality. A two-level hypothetical model was created consisting of Six groups of predictor variables: Level 1 predictors included Partners’ demographic variables, Partners’ personality, Partners’ value system, Marital processes or dynamics, and Partners’ wellbeing. Level 2 predictors included four Marriage characteristics. Altogether at both levels, 42 variables represented predictors. Marital quality in the marriage was a dependent variable. Eight hundred and eighty-four marital couples from 14 counties in various parts of Croatia and from Zagreb, the country’s capital, were included in the study. Factor analysis, Maximum likelihood with Promax rotation was used to extract factors. Eight factors were extracted: Marital harmony, Distress, Partners’ personality, Negative spillover from work, Traditionalism, Engagement in child care, Participation in decision-making, and Economic hardship. Multilevel analysis using the Mix model in Statistical Package for Social scientist, version 20 was used in data analysis. Predictive on Marital quality in a marriage turned out variables: Marital harmony, Distress, Partners’ personality, Traditionalism, Engagement in child care, and Participation in decision-making as level 1 and Marriage duration (Marriage stages) as a level 2 variable. Huston’s Ecological model proved to be adequate and useful in explaining marital quality.

Parental job loss has been shown to have a negative impact on a large number of children's outcomes, in particular for low-income children. Given the amount of time freed up by loss of employment and the fact that active time with one's children appears to be a productive input in their human capital production function, increases in the time parents spend with their children have the potential to positively impact a child or to counteract other negative consequences of parental job loss. This chapter studies how low- and higher-income parents change their time investment in their children when faced with job loss. Using national time-diary data from the American Time Use Survey (ATUS) linked to longitudinal labor market data from the Current Population Survey (CPS), I find that parents spend almost 15% of the time freed up by job loss – roughly 3.5 additional hours per week – actively with their children. Low-income parents invest their freed-up time no differently from higher-income parents. While mothers who lose their job respond by spending more time actively with their children, this adjustment is much smaller for fathers. This suggests that differential adjustments in time investment may play a role in the impact maternal versus paternal job loss has on children's outcomes.