1247 Effects of a work-family intervention program: a pretest-posttest study

ABSTRACTThis study sought to validate the Japanese version of the Survey Work–Home Interaction – NijmeGen, the SWING, which assesses multi-dimensional work–family interaction by differentiating between the direction and quality of influence. We translated the SWING into the Japanese language, the SWING-J. A back-translation procedure confirmed that the translation was appropriate. A total of 2701 dual-earner parents with preschool children (1193 men and 1508 women) were surveyed. The complete questionnaire included the SWING-J, job and family domain variables, and well-being indicators. The reliability and factorial and convergent validity of the used measures were examined. As the results, four dimensions (i.e. work-to-family negative spillover, family-to-work negative spillover, work-to-family positive spillover and family-to-work positive spillover) were determined by an exploratory factor analysis. A series of confirmatory factor analyses suggested that the hypothesized four-factor model provided a reasonably good fit to the data. Convergent validity was generally supported by the expected correlations of work–family spillovers with the possible predictors and consequences. Cronbach's alpha coefficients of the four subscales of the SWING-J were satisfactory (0.75–0.86). The present study confirmed that the Japanese version of the SWING is an adequate tool to measure positive and negative spillover between working life and family life among Japanese workers.

To examine the effects of multiple types of work-family spillover (work-to-family negative spillover, WFNS; family-to-work negative spillover, FWNS; and work-family positive spillover, WFPS) on psychological distress among Japanese dual-earner couples with preschool children. 2,346 parents completed questionnaires measuring work-family spillover, work- and family-specific variables (i.e., job demands and resources, family demands and resources), and psychological distress. A hierarchical multiple regression analysis was conducted by entering demographic characteristics (gender, age, age of the youngest child, and job contract) in step 1, job demands and resources in step 2, family demands and resources in step 3, work-family spillover in step 4, and three two-way interactions between types of work-family spillover and gender in the final step. Both WFNS and FWNS were positively related to psychological distress after controlling for demographic characteristics and domain specific variables (i.e. job and family demands/resources), and FWNS (β=0.26) had a stronger relation with psychological distress than WFNS (β=0.16). Although WFPS was significantly and negatively related to psychological distress, the relationship was weak (β=-0.05). In addition, two-way interactions of WFNS and FWNS with gender were found; the impact of both WFNS and FWNS on psychological distress is stronger for females than for males. No significant interaction effect was observed between WFPS and gender. In this study of Japanese dual-earner couples with preschool children, work-family negative spillover had a stronger relationship with psychological distress than positive spillover. Gender had a moderating effect on the relationship between negative spillover and psychological distress.

This paper presents how volatility propagates through the cryptocurrency market. Our paper provides evidence for volatility connectedness on cryptocurrencies. The different econometric techniques, including the stochastic volatility (SVOL) model and time-varying parameter VAR models using a quasi-Bayesian local likelihood (QBLL), are applied to measure the volatility of the cryptocurrency market. Using high-frequency, intra-day data of the largest cryptocurrencies over 2018–2021, we detect the great volatility of the cryptocurrency market are the beginning of 2019, the beginning of 2020, and throughout the year of 2021. The total connectedness values suggest that the cryptocurrency market becomes volatile as the new strains of the COVID-19 appear at the end of 2021. However, by using directional connectedness, we reveal that there are negative and positive spillovers from a specific cryptocurrency to other cryptocurrencies. The great fluctuations in the period before the COVID-19 health crisis stem from the positive resonance (symmetric) between the volatility of each cryptocurrency, while this health crisis leads to substantially positive and negative spillovers (asymmetric) of cryptocurrencies, and this makes market volatility weaker than it actually is.

Asymmetric spillover and network connectedness between gold, BRENT oil and EU subsector markets

Work–Family Spillover Among Dual-Earner Couples

This study of n = 201 knowledge workers examines positive and negative spillover between work and home and its interrelation with life satisfaction. Additionally, it accounts for the direct effect of role importance on life satisfaction and its moderating effect on the interrelation between spillover and life satisfaction. Central to role importance is the degree of attachment that an individual places on family role and career role. Positive spillover from home is interrelated with higher life satisfaction, whereas negative spillover from work is related to lower life satisfaction. Family role importance and career role importance are associated with higher life satisfaction. For respondents with higher family role importance, there is a stronger interrelation between negative spillover from home and lower life satisfaction.

Existing research has extensively explored the spillover effects of pro-environmental behavior. However, systematic research regarding the spillover effects and psychological mechanisms of pro-environmental behavior in the Metaverse remains scarce. This study investigates the spillover effects of pro-environmental behavior in the Metaverse on real-world pro-environmental behavior and the underlying mediating mechanisms. Additionally, it explores the intervention effect of "environmentalist" labeling. Study 1 examined the spillover effects of Metaverse pro-environmental behavior on real-world pro-environmental behavior and identified the associated mediating mechanisms. The results revealed that: (1) participants engaging in pro-environmental behavior in the Metaverse exhibited stronger environmental self-identity, which subsequently promoted real-world pro-environmental behavior, thereby generating a positive spillover effect; (2) simultaneously, these participants reported lower levels of guilt, which led to a reduction in subsequent real-world pro-environmental behavior, indicating a negative spillover effect; and (3) as both positive spillover and negative spillover pathways were activated concurrently, pro-environmental behavior in the Metaverse did not yield a significant total spillover effect on real-world pro-environmental behavior. Study 2 further investigated the intervention effect of "environmentalist" labeling. The results indicated that assigning the "environmentalist" label to participants performing pro-environmental behavior in the Metaverse enhanced their environmental self-identity without significantly reducing guilt. Consequently, this intervention significantly enhanced the total spillover effect. These findings suggest that spillover effects can extend from the Metaverse to the real world, with environmental self-identity and guilt mediating the positive spillover and negative spillover pathways, respectively. Furthermore, "environmentalist" labeling shifts the total spillover effect from non-significant to positive by reinforcing the positive spillover mediated by environmental self-identity and mitigating the negative spillover mediated by guilt.

This paper examines how the characteristics of local contexts affect the location of foreign-owned R&D activities, in terms of positive (i.e. attraction) and/or negative (i.e. deterrence) spillovers. It distinguishes between activities that are Competence-Creating (CC) (that create new lines of technology for the MNC group) and Competence-Exploiting (CE) (adapt established lines of technology). The empirical investigation uses patents granted in the USA to the world's largest industrial firms for inventions achieved in their European-located operations, classified by the host region in which the research facility responsible is located, over the period 1969?1995. The results show that positive spillovers stem from a high degree of local interindustry diversity, as well as from the presence of a local variety of other actors in the same industry, at least when they are foreign-owned. In contrast, the presence of domestically-owned dominant firms in the same industry tends to act as a deterrent.

This paper uses panel data from 282 cities in China from 2006 to 2022 and a spatial double difference model to explore the impact of science and technology finance pilot policies on green innovation in cities. Research findings: The implementation of S&T and finance policies not only promotes green innovation in pilot cities, but also has a positive spatial spillover effect on neighbouring cities. This positive spillover effect mainly exists within a 150 km radius of the pilot cities, and the policy effect gradually diminishes with distance. Pilot S&T and finance policies promote urban green innovation mainly through two transmission pathways: government intervention and financial resource allocation efficiency effects. Heterogeneity tests indicate that the green innovation effects of the pilot policy are greater in the eastern and central regions than in the western region. The findings of the study can provide effective support for the further promotion of the science and technology and finance pilot policies, and provide important insights for urban green development.

Improving total factor carbon productivity (TFCP) is the core pathway to China’s low-carbon economic transformation and achieving the “dual carbon” goals. Based on panel data of 30 Chinese provincial-level regions from 2010 to 2023, this paper measures regional TFCP via an undesirable-output super-efficiency SBM model and empirically analyzes the impacts and spatial spillover characteristics of industrial intelligence and the digital economy on TFCP using a Spatial Durbin Model (SDM). Results show China’s TFCP rose overall but exhibited a widening regional gap of “higher in the east, lower in the west”, with significant positive spatial autocorrelation in regional TFCP. The digital economy exerts a significantly positive direct effect and strong positive spatial spillover effect on TFCP, forming a “local driving + spatial radiation” promotion pattern. Industrial intelligence has an insignificantly negative direct effect on local TFCP, yet its positive spatial spillover effect is significant at the 1% level, leading to a significantly positive total effect that reflects its obvious spatial externality, with low-carbon dividends more prominent in regional coordination. Both factors show notable regional heterogeneity: industrial intelligence has a significantly negative direct effect in the east, significantly positive in the central region and insignificant in the west, with positive indirect effects in the east and west; the digital economy presents “local-spillover dual drive” in the east, “local-dominated drive” in the central region and “spillover-dominated drive” in the west. Among control variables, coal-based energy consumption structure and secondary industry-dominated industrial structure significantly inhibit regional TFCP with strong negative spatial spillovers; green finance has an insignificant positive effect, while FDI shows an insignificantly positive direct effect and significantly negative indirect effect due to the “pollution haven” effect. The work clarifies the spatial effects and regional heterogeneity of industrial intelligence and the digital economy on TFCP, providing empirical evidence and policy references for formulating differentiated regional coordination policies, leveraging the two as a “dual engine” to boost China’s regional TFCP and advance high-quality green and low-carbon economic development.

Surgery requires a preoperative nursing action which is the initial stage of operative nursing, which starts from the time the patient is admitted into the patient's reception room and ends when the patient is transferred to the operating table for surgery. Psychological and physiological reactions to surgical procedures and anesthetic processes that allow for an anxiety response, especially in pre-school-aged children. Preschoolers who are sick and have to be hospitalized can experience unpleasant experiences and cause anxiety. They tend to refuse treatment and treatment that is being undertaken, causing delays to some actions including surgery. The purpose of this study was to analyze the effect of cartoon videos on reducing preoperative anxiety levels in pre-school age children. This research method uses quasi-experimental with a pre and post-test approach with out control. The sampling technique used purposive sampling with a sample of 20 children who were divided into 2 groups. This research instrument uses the HARS anxiety questionnaire. Data analysis using paired t-test. The results showed that the decrease in preoperative anxiety levels in pre-school children after being given a cartoon video intervention by 4.20, after being given an animated video intervention by 4.70. The results of the study also obtained p value> 0,000, which means the influence of cartoon videos and animated videos on reducing preoperative anxiety levels in pre-school age children. Suggestions that researchers can give are nurses can provide animation video interventions to minimize preoperative anxiety in pre-school age children.

This study aims to reveal the return and volatility spillovers between developing/emerging country stock market indexes and precious metals that investors recently have concentrated on issues such as portfolio diversification and hedging. As a result of the multivariate VAR-EGARCH analysis, negative information shocks for precious metals have been found to be more dominant. It is proved that from gold returns to the equity markets of Indonesia, India, Brazil, Turkey have positive spillover, also from Brent oil returns to the equity markets of India, Brazil, Turkey have negative return spillover. The only market in which both of precious metals have positive return spillover has been the South African market. According to the results of the model’s variance equation, there is no volatility spillover to the Turkish equity markets from precious metals therefore the result is that Turkish equity market is stronger compared to other countries’ markets.

This chapter introduces a model that integrates two lines of research: the spill-over–crossover model (SCM). Spillover researchers have generally neglected the possibility to examine the impact of employees' experiences at work on the well-being of the partner at home. Similarly, crossover researchers have generally ignored the work-related causes of the experiences that crossover from the employee to the partner at home. The SCM combines the spillover and crossover literatures, and proposes that work-related experiences first spillover to home domain, and then crossover to the partner through social interaction. The SCM suggests that impact on partner's well-being occur either through direct crossover of negative and positive experiences or through indirect crossover. A series of studies has provided evidence for the SCM, although it should be noted that most studies focused exclusively on negative spillover and crossover. Although the focus in most work–family studies has primarily been on negative spillover, research has clearly indicated that positive spillover is also possible.

PurposeThe purpose of this study is to examine the spatial fluctuation spillover effect of green total factor productivity (GTFP) under the influence of Internet development.Design/methodology/approachUsing panel data from 283 cities in China for the period 2003–2016, this paper explores the spatial fluctuation spillover effect of internet development on GTFP by applying the spatial autoregressive with autoregressive conditional heteroscedasticity model (SARspARCH).FindingsThe results of Moran's I test of the residual term and the Bayesian information criterion (BIC) value indicate that the GTFP has a spatial fluctuation spillover effect, and the estimated results of the SARspARCH model are more accurate than the spatial autoregressive (SAR) model and the spatial autoregressive conditional heteroscedasticity (spARCH) model. Specifically, the internet development had a positive spatial fluctuation spillover effect on GTFP in 2003, 2011, 2012 and 2014, and the volatility spillover effect weakens the positive spillover effect of internet development on GTFP. Moreover, Internet development has a significant positive spatial fluctuation spillover effect on GTFP averagely in eastern China and internet-based cities.Research limitations/implicationsThe results of this study provide digital solutions for policymakers in improving the level of GTFP in China, with more emphasis on regional synergistic governance to ensure growth.Originality/valueThis paper expands the research ideas for spatial econometric models and provides a more valuable reference for China to achieve green development.

Role of Intervention Strategies for At-risk Preterm Infants