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The purpose of this study is to examine the socio-economic inequalities that exist in the use of unhygienic menstrual practices in India and its states, as well as to identify the contribution of various socio-economic factors that leads to these inequalities.

Data from the National Family Health Survey-5 (2019–21) for 240,285 menstruating women aged 15–24 years is used to examine the above objectives. The concentration index for unhygienic menstrual practices is calculated to measure the socio-economic inequalities, which are then decomposed into their determining factors.

The state of Punjab experiencing the highest level of economic inequality, followed by Telangana and Haryana. The results from decomposition analysis suggest that rural residence (13%), illiteracy (7%), poor economic status (53%), not reading newspaper (12%) and not watching TV (14%) contribute 99% to the total socio-economic inequality in using unhygienic menstrual practices in India. The contribution of economic status to total inequalities is more in all the states except for Kerala and Mizoram, where caste and residence play an important role.

This paper signifies the role of economic inequality in the use of unhygienic menstrual practices in India as well as the contribution of various socio-economic factors contributing towards these inequalities. The results from decomposition analysis suggest the need for unique health intervention strategies for different states following the evidence of major contributions to total inequalities in the use of unhygienic menstrual practices.

This paper aims at analysing the socio-economic characteristics, mobile phone ownership and banking behaviour as key determinants of digital financial inclusion in India.

This study is based on the Global Findex Survey of the World Bank covering 3,000 adult individuals in India. Simple statistical tools such as descriptive statistics, chi-square test and regression analysis with a marginal effect have been used for the data analysis.

About 35.2% of respondents have reported using digital financial services in the country. There is a significant association between the socio-economic profiles of individuals with the adoption of digital financial services in terms of gender, age, education, occupation and income. The marginal effect indicates that socio-economic factors, mobile phone ownership and banking behaviour of individuals towards borrowings and savings have indicated significant influence on digital financial inclusion. The analysis depicts that male with higher age, education, working status and higher income are more likely to adopt digital financial services. Further, individuals with mobile phone ownership and utilising banking in terms of borrowings and savings are more likely to adopt digital financial services.

As digital banking services have emerged as a preferred channel for financial service delivery, this study provides timely insights on developing user driven-strategies for promoting digital financial services.

Socio-economic characteristics, mobile phone ownership and banking behaviour are critical determinants of financial inclusion, so assessing its implications in the era of digitisation becomes imperative.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2022-0673.

While the Olympic Games are always under the spotlight, the Paralympic Games are somehow ignored. This paper aims to invite the general public to think about the para-athletes and the differential treatments they received.

Among the participating countries, many of them were unable to win a single Olympic or Paralympic medal. When the dependent variable is left-censored, ordinary least squares regression is asymptotically biased downwards. In the literature, researchers typically employ the maximum likelihood Tobit model to take care of the censoring problem. However, some researchers argue that the Hurdle model has an advantage over the Tobit model in identifying the determinants of winning Olympic medals. Following their wisdom, this paper employs both the Tobit and Hurdle models in analysis.

The empirical evidence gathered in this paper suggests that population size, host status and average years of schooling are the big three socio-economic determinants when it comes to winning medals at the Paralympic Games and Olympic Games. The findings support the hypothesis that sports talent is randomly distributed and a large country has a higher chance to have talented athletes or para-athletes winning the Olympic medals. The strong host advantage also showed up in the following Paralympics but was not so strong at the next Olympics.

This paper not only examines the relationship between various social, economic and political factors in determining the success of a nation in the Paralympic Games but also attempts to identify possible non-traditional determinants.

This paper examines the role of institution in the combating crime in India. This study also assesses institutions for controlling property crime in India in the post-reform era.

Crime and socio-economic data are taken from National Crime Record Bureau and the Reserve Bank of India, respectively. Twenty major Indian states are selected for the study purpose for the period of 1994–2019. Fixed effect panel data technique is used for analysis purpose.

Property crime rate declines with economic growth, while it increases with financial development. Findings of fiscal policy instruments are different. Own tax is positively associated with property crime in India, while non-tax fiscal instruments such as fine, penalty, and so on, are inversely related to it. Property crime rate is inversely related to institutional factors like charge sheet and conviction rate.

Further research is needed for other crimes in India. State-level data are used here for analysis purpose; however, spatial or cluster analysis techniques might provide more insights for combating crimes in India.

This study suggests that economic growth and fiscal instrument along with institutional development are essential to control property crime in India.

Government should take steps to improve the law-and-order system to control property crime across states.

Impact of non-tax fiscal instrument reduces property crime while that of own tax is increases it in India. These findings are unique and added certain insight in the study. Institutional roles are captured its performances like charge sheet and convict rate, which are significantly reduce property crime in Indian states. Least square dummy variable model is applied to capture individual state effects.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0063

The purpose of this paper is to explore the relationship between suicide rates broken down by gender and socio-economic factors in the Slovak Republic.

This paper uses panel data of 79 counties of the Slovak Republic for the period 1997–2019. Methodology used includes fixed effects regression and sensitivity analysis. Also, regressions with lagged variables are used.

The results show that per capita income and unemployment rate are associated with increased risk of suicide rates for both genders. Economic growth is negatively correlated and significant only for women. Women’s participation in the labor market does not have a significant impact. Social factors, such as divorce and fertility rate, have a significant effect on men but insignificant on women. Strong faith is associated with increasing men’s suicide rates. Sensitivity analysis confirmed the results. This paper also examined the possibility of cumulation of the effects by using lagged variables. Unemployment rate has a significant effect only in the simultaneous year and for men only. Per capita income and economic growth have insignificant impact for both the genders. Divorce rate has a significant positive relationship for men, if measured in the previous year. The fertility rate is negatively correlated with the suicide rate of women up to two years after the birth. Higher participation of women in the labor market has a positive relationship with men’s suicides in the simultaneous year.

Few limitations of this paper need to be stated. First, the data are not balanced, as data for some districts and years are missing. Also, it is possible to collect data only for a maximum period of 29 years (as the Slovak Republic exists only from year 1993). Moreover, important variables in suicide research, like alcohol consumption or drug use, are not collected on the district level. Therefore, poor data availability is putting barriers to research of this area in the Slovak Republic. Second, there is a lack of previous studies in the Slovak Republic. According to the authors’ knowledge, this is the first paper to deal with issue of suicides and socio-economic factors in the Slovak Republic; therefore, some important factors of the Slovak Republic influencing the results of this paper may be missed. Third, limitations in the methodological approach might influence the paper. The lagged-variables approach might require further methodological improvements and research like implementing a structural regression model.

According to knowledge of the authors, this relationship has not yet been examined in Slovakia. This provided space for this paper. According to the information presented in this paper, it is important to take individual economic and social circumstances into account when developing suicide prevention programs. The results of this paper may lead to useful guidelines for health policymakers, but addressing this issue certainly requires further research.

The objective of this study is to ascertain the financial literacy (FL) of the farmers in three South Asian economies (India, Bangladesh and Pakistan). Further, an effort was made to explore various demographic and socioeconomic antecedents of FL of the farmers.

The study used secondary data of 11,025, 782 and 657 farmers from India, Bangladesh and Pakistan respectively from Financial Inclusion Insights (2017) database. “Big five” FL questions were used to measure the FL of the farmers. Appropriate statistical techniques and censored Tobit regression were used to identify the determinants of such FL.

Bangladeshi farmers (48.75%: Moderate) were found to exhibit greater FL as compared to Pakistani (38.96%: Poor) and Indian (32.61%: Poor) farmers. The outcome of the study revealed that the farm ownership and educational attainment of the farmers significantly determined FL of the farmers in all three Asian countries. Financial confidence and gender were observed to exacerbate a positive influence on the level of FL of farmers belonging to India and Pakistan. Age, marital status, financial inclusion and economic status were found to be the major determinants of FL of Indian farmers.

There is a dearth of studies in the scholarship examining the FL of farmers in both developed and developing economies. The present study makes an original contribution to the literature by unearthing FL amongst farmers and its determinants in three South Asian economies using a large sample of 12,464 farmers for the first time.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2022-0776

The purpose of this paper is to examine factors that shape the adoption of mobile phones for vegetable marketing by Vietnamese smallholders.

A structured questionnaire was given to 185 smallholders randomly chosen from 345 vegetable smallholders in the Vinh Thanh district of Vietnam. Descriptive statistics, inferential statistics and a binary logistic regression were applied to analyse the data.

The research results show that the smallholders’ adoption of mobile phones for vegetable marketing is significantly affected by their number of extension contacts, distance from smallholders’ homes to local markets, community-based organisation participation, gender, training/credit programme participation, age, education level, income and farm size (χ² = 143,111, p < 0.000).

A combination of factors related to socio-economic, situational and institutional characteristics of smallholders should be considered when promoting smallholders’ uptake of mobile phones for vegetable marketing in developing nations.

This research provides useful insights into the determinants of mobile phone adoption for vegetable marketing by smallholders and highlights areas that need to be considered when designing policies to improve the uptake of information and communication technologies in developing countries.

Unequal social conditions that provide people with unequal opportunities to live healthy lives are considered unjust and associated with “health inequity”. Governing power is impacting people's lives through laws, policies and professional decisions, and can be used intentionally to combat health inequity by addressing and changing people's living- and working conditions. Little attention is paid to how these ways of exercising governing power unintentionally can structure further conditions for health inequity. In this paper, the authors coin the term “governance determinants of health” (GDHs). The authors' discussion of GDHs potential impact on health inequity can help avoid the implementation of governing strategies with an adverse impact on health equality. This paper aims to discuss the aforementioned objective.

The authors identify Governance Determinants of Health, the GDHs. GDHs refer to governance strategies that structurally impact healthcare systems and health equality. The authors focus on the unintended, blind sides of GDHs that maintain or reinforce the effects of socioeconomic inequality on health.

The power to organize healthcare is manifested in distinct structural approaches such as juridification, politicalization, bureaucratization and medical standardization. The authors explore the links between different forms of governance and health inequalities.

The authors' discussion in this article is innovative as it seeks to develop a framework that targets power dynamics inherent in GHDs to help identify and avoid GDHs that may promote unequal access to healthcare and prompt health inequity. However, this framework has limitations as the real-world, blurred and intertwined aspects of governing instruments are simplified for analytical purposes. As such, it risks overestimating the boundaries between the separate instruments and reducing the complexity of how the GDHs work in practice. Consequently, this kind of theory-driven framework does not do justice to the myriad of peoples' complex empirical practices where GDHs may overlap and intertwine with each other. Nevertheless, this framework can still help assist governing authorities in imagining a direction for the impacts of GDHs on health equity, so they can take precautionary steps to avoid adverse impacts.

The authors develop and explore – and demonstrate – the relevance of a framework that can assist governing authorities in anticipating the impacts of GDHs on health inequity.

This study aims to present a bibliometric analysis of research on pensions and retirement systems over the past 100 years. The study examines the intellectual structure and mapping in the field of pension and retirement; uncovers growth and publication patterns; identifies thematic areas in the pension domain; provides analysis of gaps; and recommends direction for future research.

The study sourced data from the Scopus database between 1910 and 2022 covering a 112-year period. Employing bibliometric techniques, a total of 6,661 papers were selected and analyzed using SPSS and VOSviewer software.

Results from the cluster analysis suggest research in this domain has focused on five thematic areas namely pension plans, retirement systems, pension schemes, demographic, and socio-economic determinants of pension and retirement decisions. The authors show from the overlay visualization output how these themes have evolved within the period under review. The study further presents major developments, conclusions and suggestions for future research directions based on insights obtained from the research themes to enrich the field of pension and retirement planning.

The study is useful for informing researchers and practitioners on the state of the pension domain, and findings are useful avenues in developing the research field.

The study adds to existing literature on pension and retirement by offering an analysis of the state of pension research over a century and highlighting areas for future research.

This study aims to investigate the factors contributing to the low adoption rate of mobile money services (MMS) in the Middle East and North Africa (MENA) region compared to other regions. The study focussed on socio-demographic factors and macro-level determinants in several selected MENA and Sub-Saharan African (SSA) regions where MMS have been successful.

This study analysed 23 countries across MENA and SSA to establish the correlation between socio and macroeconomic factors and MMS adoption using a quantitative approach. The analysis used the generalized least square (GLS) method.

The study revealed that gender and income are factors that positively influence the adoption of MMS in MENA and SSA regions. Additionally, the study found that the affordability index, which measures macroeconomic indicators, correlates with MMS adoption in both regions but in an inversed way. On the other hand, political stability appears to have a positive correlation with MMS adoption in the MENA region. The correlation between the regulatory index and MMS adoption positively impacts the entire study group, although it is insignificant in the SSA region.

Future studies should assess market competition among MMS providers and the psychological aspect of user adoption behaviour. Additionally, conducting a focus group discussion with stakeholders in the MMS industry can assist in uncovering potential factors contributing to low MMS adoption in the MENA region.

This study contributes to understanding the role of the socio-demographic and macroeconomic determinants in promoting digital transformation through adopting MMS.