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Information and communications technology (ICT) has been widely embraced in many developing economies in recent times. Extant research reveals that ICT increases economic growth. Beyond economic growth, improved access to information, markets and economic opportunities via information and communications technology have the potential to influence other dimensions of public welfare. This study quantitatively examines the effects of ICT on selected health and gender dimensions of Pacific Island developing countries’ populations. The results show a statistically significant and positive impact of ICT on health and gender outcomes. Our results are robust with an alternative modeling approach, different control variables, and different measures of health and gender outcomes. We further establish that the health outcome of technology has a valid pass-through of income. The study suggests policy implications for the Pacific and other developing countries striving to enhance the health and gender outcomes of SGDs.

In this study, we seek to perform macro analysis of fertility in a panel of 6 selected Pacific Island Countries (PICs, hereafter). The macro analysis with secondary data, mostly obtained from World Bank database, stretched over the period 1990–2019 was stacked randomly in a balanced panel set-up, within which the most preferred fixed effect model is used for multivariate analysis. Pooled OLS and Random effect estimation techniques were applied for comparing results. Categories such as women’s empowerment, health, connectivity and cost of living were used to classify proxy variables as regressors for fertility determination. The results indicate variables such as contraceptive prevalence rate, female labour force participation rate and consumer price index (inflation) are negatively correlated with fertility at 1% level, while urbanisation is negatively correlated with fertility rate only at 10% significance level. Real GDP has negative relationship with fertility, however it is not statistically significant. Variables that are positively correlated with fertility but hold limited to no significance effects are female secondary enrolment, female population, mobile subscription and infant mortality rate. It is implied that those variables that are negatively associated with fertility, as well as Real GDP will be the major drivers for achieving replacement level fertility in the long run.

The digitalization of financial systems has intensified risks such as cyber fraud, data breaches, and financial exclusion, particularly for individuals with low digital financial literacy (DFL). As digital finance becomes ubiquitous, DFL has emerged as a critical competency. However, the determinants of DFL remain insufficiently explored. This study aims to validate a comprehensive, theory-driven model that identifies the key sociodemographic, economic, and psychological factors that influence DFL acquisition among investors. Drawing on six established learning and behavioral theories—we analyze data from 158,169 active account holders in Japan through ordinary least squares regression. The results show that higher levels of DFL are associated with being male, younger or middle-aged, highly educated, and unemployed and having greater household income and assets. In contrast, being married, having children, holding a myopic view of the future, and high risk aversion are linked to lower DFL. Interaction effects show a stronger income–DFL association for males and a diminishing return for reduced education with age. Robustness checks using a probit model with a binary DFL measure confirmed the OLS results. These findings highlight digital inequalities and behavioral barriers that shape DFL acquisition. This study contributes a validated framework for identifying at-risk groups and supports future interventions to enhance inclusive digital financial capabilities in increasingly digital economies.

The younger generation’s hesitancy towards the COVID-19 vaccine in Japan received significant attention during the early stages of vaccination. However, there is a lack of a comprehensive study in Japan that analyzes the apprehension towards the third dose of vaccine, commonly known as the booster dose, and its underlying causes. Using data from an online panel survey conducted by the Hiroshima Institute of Health Economics Research at Hiroshima University, we examined the severity of booster dose aversion among youths of different ages. Our findings indicate that a sizeable proportion of the Japanese population, particularly younger men, are hesitant to receive the booster dose. Furthermore, an inter-age group difference in booster dose aversion exists only among men. According to the probit regression results, subjective health status and future anxiety are associated with the booster vaccine hesitancy of men and women of various age groups. Moreover, few socioeconomic and behavioral factors like marital status, having children, household income and assets, and having a myopic view of the future, are also associated with the booster dose aversion among youths of certain ages. Given the diverse attitude of the younger generation, our findings suggest that public health authorities should develop effective communication strategies to reduce vaccine apprehension in the society.

Investors’ ability to retain investments during bearish and uncertain market periods is a crucial behavioral trait for long-term wealth accumulation and reduces market instability. Nevertheless, little is understood about how digital financial literacy (DFL) shapes the capacity of increasingly digitalized financial environments. This study investigates the links between DFL and investment grip among Japanese active investors—defined here, following conventional Japanese regulatory and research practice, as individuals who maintain a securities account and have engaged with an online brokerage within the past year—building on several theoretical perspectives from behavioral science. Using survey data from 149,261 individuals with an active account at Rakuten Securities, we estimated ordered probit regression models as the main specification. The findings showed a strong positive association between DFL and investment grip, even after accounting for demographic, socioeconomic, as well as cognitive attributes. These results are supported by robustness tests employing a probit model with a binary outcome. The sample consists exclusively of digitally active retail investors; the findings are therefore most directly applicable to this subpopulation. Overall, the evidence suggests that DFL fosters investors’ capacity to endure market volatility by promoting rational decision-making and reducing panic-driven selloffs. This study offers new empirical findings that will help promote financial resilience in technology-driven markets.

Background General health check-ups are an important element of healthcare, as they are designed to detect diseases, thereby reducing morbidity and mortality. Recent studies have found that financial literacy promotes preventive healthcare usage and reduces risky health behaviors such as smoking, lack of exercise, and gambling. Based on this evidence, we hypothesize that financial literacy, as a rational decision-making tool, is positively associated with health check-up behavior in Japan. Methods We extracted data on financial literacy, the main explanatory variable of this study, from the 2010 wave of the Preference Parameter Study (PPS) of Osaka University. Data on health check-up behavior as a dependent variable, along with control variables, were obtained from the 2011 PPS wave. Our sample focused on Japan’s middle-aged working population (40–64 years), and we applied probit regressions to test our hypothesis. Results Our final sample size was 2,208 participants after merging the two datasets. Descriptive statistics show that respondents had moderate financial literacy (mean = 0.62, SD = 0.33), low financial education (mean = 0.17, SD = 0.38), and low participation (mean = 31.75%, SD = 46.56%) in the health check-up. The probit regression analysis showed that financial literacy is insignificantly associated with health check-up behavior in Japan (coefficient = -0.0229; 95% CI: -0.2011—0.1551; p-value = 0.801). However, demographic factors such as being male (coefficient = -0.2299; 95% CI: -0.3649—-0.0950; p -value = 0.001), older (coefficient = 0.0280; 95% CI: 0.0188 – 0.0371; p -value = 0.000), and married (coefficient = 0.3217; 95% CI: 0.0728 – 0.5705; p-value = 0.011), as well as risky health behavior such as smoking (coefficient = -0.2784; 95% CI: -0.4262—-0.1305; p -value = 0.000) are significantly related to health check-up behavior. Conclusions Our results suggest that financial literacy insignificantly motivates people to behave rationally and understand the value of health check-ups as a tool for sustainable health.

The influence of smartphone use on increased risk of feeling lonely has been recognized as a global public health concern. However, it is unclear whether this influence has changed during the ongoing COVID-19 pandemic, during which smartphones have become a particularly important means of communication due to health safety measures restricting personal interactions. We used Hiroshima University’s online survey data collected from 18–28 February 2022, to assess the impact of smartphone use on loneliness in Japan. The final sample included 2630 participants aged over 20 years, with loneliness measured using the UCLA scale and smartphone use calculated as the duration of usage in minutes/day. Weighted logit regression analysis was used to examine the association between smartphone use and loneliness, with other demographic, socioeconomic, and psychological characteristics as explanatory variables. Contrary to conventional evidence, our findings show that smartphone use mitigated the risk of loneliness during the pandemic. This was especially true among females under 65 years old. We found that age, subjective health status, future anxiety, and depression impacted this relationship. The findings of this study can help guide policymaking by showing the importance of providing adequate digital platforms to manage loneliness and mental health during times of isolation.

This study explores the relationship between overconfidence in financial literacy and the use of credit card payments with interest in Japan. Drawing on existing theoretical and empirical research, we hypothesized that individuals who overestimate their financial knowledge are more likely to engage in potentially harmful financial behavior, such as accruing interest on credit card payments. To test this, we analyzed data from the 2022 and 2023 Life and Money surveys conducted by Rakuten Securities and Hiroshima University. The dataset included responses from 191,658 active customers of Rakuten Securities, one of Japan’s leading securities firms. Using probit regression and propensity score matching methods, we found a positive association between overconfidence in financial literacy and the likelihood of using credit cards with interest. The propensity score matching results further suggest a possible causal link, indicating that overconfident individuals may misjudge the risks and costs associated with credit card use. This behavioral bias can lead to poor financial outcomes. Our findings underscore the need to address overconfidence through improved financial education. We recommend that policymakers and financial institutions develop targeted programs that not only raise financial literacy levels but also help individuals recognize and correct overconfidence, thereby promoting healthier financial behaviors.

Introduction Although infection-related cancers are largely preventable through vaccination and screening, the extent of their burden is not adequately addressed in developed countries, including Japan. This systematic review was conducted to analyze time trends in the economic burden of infection-related cancers in Japan. Methods We performed a systematic search on 14 cancers evidenced to be causally associated with five infectious agents, using PubMed and Scopus databases from their data inception to 2023. We selected English peer-reviewed articles that measured the monetary cost of infection-related cancers in Japan, regardless of cancer stage. Mixed methods of qualitative and quantitative analysis were conducted to thoroughly assess selected articles, following the PRISMA statement. Results Of the 820 documents initially included, 10 articles were retrieved for the final analysis. Most studies focused on the financial burden of stomach, liver, and cervical cancers. The total cost of three major infection-related cancers decreased significantly from 1746.2 billion yen (16,052.5 million USD) in 1996 to 885.9 billion yen (8297 million USD) in 2020. While the costs of stomach and liver cancers attributed to infections (Helicobacter pylori and Hepatitis B/Hepatitis C viruses) observed downward trends, the cost of cervical cancer related to Human papillomavirus (HPV) exhibited an upward trend. Conclusion Despite decreasing trends in the overall costs of infection-related cancers, the economic burden of HPV-related cervical cancer steadily increases in Japan. Alongside ongoing prevention for infection cancers in general, it is imperative to prioritize HPV vaccinations and related screening programs as a key focus in Japanese public health policy.

The prolonged COVID-19 pandemic has exacerbated existing socioeconomic and health risk factors and added additional dimensions to the loneliness problem. Considering the temporal extension of COVID-19, which exposes people to various loneliness conditions, we examined the development of loneliness and changing risk factors based on age and gender. We used longitudinal data from Hiroshima University’s nationwide survey in Japan, conducted before and during the pandemic, to categorize loneliness into three types: long-term (feeling of loneliness experienced both before and during the pandemic), post-pandemic (feeling of loneliness experienced throughout the whole pandemic period), and fresh (feeling of loneliness experienced only in the last year of the pandemic). Loneliness categorization is important because the prolonged existence of the COVID-19 pandemic has added additional dimensions to the loneliness problem, which existing studies rarely identify. As a result, the distinction between long-term and fresh loneliness remains unexplained. The weighted logit regression results revealed that many Japanese people have remained or became lonely during the pandemic and identified variations based on gender, age, and changes in socioeconomic and health characteristics. More precisely, almost 52% of the participants experienced long-term loneliness, while 8% of the participants experienced post-pandemic loneliness, and nearly 5% experienced fresh loneliness. Age and having children were associated with long-term loneliness; gender, age, leaving full-time employment, financial literacy, change in health status, and change in depression were associated with post-pandemic loneliness; and gender, having children, living in rural areas, change in household assets, financial literacy, changes in health status, and changes in depression were associated with fresh loneliness. These results indicated that long-term, post-pandemic, and fresh loneliness have distinct characteristics. The Japanese government should devise distinctive solutions for people suffering from varying loneliness before and during the pandemic rather than adopting a generalized approach.