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The purpose of this paper is to investigate the key determinants of dietary choices of the Greek population during a period of financial austerity.

Data from the 2016 “Health and Welfare” Greek national cross-sectional survey, in a representative sample of 2,003 individuals, were examined. The survey was conducted via computer-assisted telephone interviews. Sociodemographic characteristics and diet knowledge were examined as potential determinants of four dietary behaviours (fruit, fish, red meat and fast food consumption).

Findings showed significant gender differences against men (64.4% were overweight and obese; 57.6% and 18.4% reported red meat and fast food consumption more than twice a week, respectively). Age and financial affordability were the most significant determinants of fruit consumption. Fish consumption was determined by age, financial affordability, and family status (unmarried, living with the parents). Gender, age, family status (unmarried, living alone), employment status (unemployed) and social support affected red meat consumption. Finally, factors influencing fast food consumption were gender, age and employment status (unemployed).

This research incorporates unique and original insight in the determinants of healthy dietary choices during the austerity measures in Greece. Findings could contribute to a better understanding of the main factors that influence healthy eating and help develop policies to encourage healthy dietary lifestyles for the general public.

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.

The purpose of this paper is to explore the extent and the effect of socio‐economic and demographic factors that lead to the phenomenon of child labor in the fishing sector of Balochistan (province of Pakistan).

In order to explore the objectives, the paper first develops simple hypothesis followed by descriptive and regression analysis.

The findings of the paper show that in the coastal areas about 30 percent of the children are involved in fishing. It is observed that the main cause of child labor is not poverty it comes out to be low quality of education, lack of job opportunity, and lack of development.

The data used for the assessment cover wide‐spread coastal areas but still have some limitation for several reasons. First, it is rapid assessment done to gain the first hand knowledge about the extent of child labor and their socio‐economic culture they belong too. Second, the official data do not include information on education and employment facilities in these towns. Thus, severity may not be truly reflected.

Education with training needed to improve fishing skill may help in this regard. The state of education also needs improvement as high illiteracy and dropout rates reflect inadequacy.

Extent of child labor in these towns is not reported by any official statistics. This paper attempts to provide the picture of the severity of the problems and its probable causes.

The purpose of this paper is to understand the dynamics of women labor considering their unpaid work status. The intention is to understand the precise meaning of unpaid work and its magnitudes and trends in India. This study explores the causes of women to be engaged in unpaid work and the reason behind the non-reduction of unpaid labor as prophesied by the standard theories of economic development. Furthermore, this study aims to examine the nexus of the work status of women and its impact on poverty to give possible recommendations for promoting faster and more inclusive growth of the Indian economy.

For addressing the above-mentioned issues, this study has used the data of 50th, 55th, 61st and 68th surveys conducted from 1993–1994 to 2011–2012 by National Sample Survey Office. In the first stage of analysis, the magnitude of unpaid work by women has been estimated. Subsequently, the relative contributions of socio-economic and demographics on the work status of women (paid and unpaid) in India have been assessed by using logistic regression model. In the second stage, the level of poverty among paid and unpaid women has been measured by using poverty estimation methodology. Furthermore, the incidence of poverty among unpaid women has been decomposed, and the contribution of socio-economic predictors has been measured.

The study reveals that the participation of women in paid activities has been consistently declined. During the study period, it is observed that the amount of unpaid work activities of women has significantly increased. Moreover, the increase of unpaid activities is more intense for those women who are less educated, marginalized and belong to the poorer household.

The key contributions of this study are to underpin the issue of low and declining participation of female labor force in India as well as to understand the dynamics of changing work status (paid to unpaid) of females in the neo-liberal development framework. Furthermore, this study explores the consequences of the increase in unpaid work on poverty, which has not been the focus of previous studies.

The purpose of this study was to ascertain the types of financial plan Ghanaian self-employed workers have towards their retirement, and the main forces that motivate these workers to financially plan for their pension.

The study focused on self-employed workers aged from 15 to 60 years. Questionnaires were administered in gathering data for the study. The researcher used probit model in analysing the driving forces behind self-employed workers' financial planning for retirement.

The study revealed that bank/credit union/savings and loans savings, building of apartments for renting, investment in SSNIT pension, investment in treasury bills/fixed deposits, investment in ownership of business and private insurance pension are the types of financial plan that exist for self-employed workers towards their retirement. The study found that age, marital status, level of education, household size, number of children, renting a house, life style of the future retiree, income, risk level of job and types of retirement plan are the driving forces behind the retirement plans of self-employed workers.

Using the identified types of financial plan and driving forces in this study, governments in the developing countries can develop and implement self-employed pension schemes, educate and encourage more self-employed workers to plan for their retirement.

Analysing the driving forces behind retirement plans of self-employed people in developing economies.

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.

The study aims to examine the socio‐economic determinants of maternal health services utilization in Ghana.

Probit and ordered probit models are employed in this study.

The results generally indicate that most women in Ghana undertake the required visits for antenatal services and also take both doses of the tetanus toxoid vaccine as required by World Health Organization. However, the results show low levels of usage in terms of the other maternal health care services (i.e. prenatal care, delivery at a health facility, and postnatal care). There is clearly an urgent need to develop innovative strategies that will help upscale intervention especially for improvement in the use of these services by women in Ghana. The regression results reveal that utilization of maternal health services and intensity of use of antenatal services are influenced by age of mother, type of birth, education of mother, ethnicity, economic status, geographic location, residence, and religious affiliation. Obviously, this suggests that more than medical factors are responsible for the differences in the use of maternal health services by women in Ghana as well as the decision on the number of visits to undertake with respect to antenatal visits.

The findings of this study have important implications for health policy formulation targeted at improving maternal health care service utilization.

This study aims, firstly, to analyse the contribution of socio-economic determinants to mental health (MH) inequalities before the economic crisis, in 2006, and again in a year during recovery, 2016, and secondly, to analyse the changes in these contributions between the two points in time in Barcelona city.

The concentration index (CI) was calculated for MH inequalities for the population aged 16 or older using the Barcelona Health Surveys for 2006 and 2016. MH was measured with the 12-item General Health Questionnaire. The CI was broken down for each year and gender based on a set of socio-economic determinants plus social support and the presence of chronic diseases. The contribution of each factor to variation in MH inequality between the two points in time was analysed with Oaxaca decomposition.

Income inequalities in MH increased for men and women (a CI from −0.06 in 2006 to around −0.16 in 2016). Employment status and social class are the main contributors to MH inequalities (more than 50%), except for women in 2006 that is chronic disease. The main contribution to increases in MH inequality between 2006 and 2016 was due to unemployment (26.5% men, 23.8% women), being a student (22.8% men, 20.7% women), homemaker in women (30.7%) and men in the manual class (31.6%).

MH inequalities have been amplified between the two years among the economically vulnerable population or for those who are out of the labour market with unexpected changes for women.

Africa's population is the second largest and fastest growing in the world after Asia, and this puts African governments under great stress in terms of increased public expenditure and is faced with a low revenue generation. Hence, the need for this study. The purpose of this paper is to examine the socio-economic determinants of public expenditure in Africa by assessing the influence of population age structure using a sample of the top ten most populous countries in Africa covering period of 1989 to 2018.

The study employed panel fully modified ordinary least square (OLS) in estimating the relevant relationship between the variables in the model. The dynamic ordinary least square (DOLS) model was also used to check the robustness of the fully modified ordinary least square (FMOLS) results.

The findings revealed that the major population age structure that influences the growth of public expenditure in Africa are population ages (0–14) and population ages (15–64), but the former poses a stronger significant influence than the latter while population ages (65 and above) has a negative and insignificant influence. Also, in terms of other socio-economic factors, self-employment has a reducing and significant influence on public expenditure. GDP per capita has a negative and insignificant influence while foreign aid and unemployment rate has an increasing influence. Finally, inflation rate and control of corruption (CC) has a negative relationship with public expenditure.

The study argues that an increase in the young and working population will put enormous pressure on the government in the provision of more jobs and other public infrastructures such as health care and education. In the context of African economy with a low revenue generation, public expenditure will be low and the desperately poor masses will be denied of these public infrastructures.

Several studies (Jibir and Aluthge, 2019; Tayeh and Mustafa, 2011; Okafor and Eiya, 2011; Obeng and Sakyi, 2017; Ofori-Abebrese, 2012) have investigated the determinants of public expenditure using total population as a variable. However, this study is unique as it focused on the influence of population age structure on public expenditure in Africa. Also, the study incorporated other socio-economic determinants of public expenditure such as self-employment, standard of living, inflation rate, unemployment rate, foreign aid and corruption in its analytical model. To the best of our knowledge, some of these variables have not been employed in previous studies.

This paper aims to understand the perception of smallholder farmers on climate change, identify major livestock related climate change adaptation (CCA) strategies and their determinants in selected neighboring districts of Tigray and Amhara regions of Ethiopia.

A total of 416 household heads were involved in a questionnaire survey using a multistage sampling approach. To understand the socio-economic factors that influence farmers’ perception on climate change (CC) and/or variability, a binary logit model was used. Multinomial logit model was used to identify the determinants of smallholder farmers’ choices of adaptation strategies.

Milk reduction, weight loss, feed shortage and frequent animal disease outbreak were indicated as major impacts of CC on livestock production. About 86.2% of the farmers’ exercise CCA measures where livestock health care and management (25%), followed by livelihood diversification (21.5%) and shifting and diversification of livestock species (20.9%) were the top three adaptation measures implemented. Education, knowledge on CCA strategies, access to veterinary service and extension, market access, annual income, non-farm income, total livestock unit, sex of household head and household size were the major determinant factors to farmers’ choice of CCA.

Concerned authorities working in CC related sectors should give due attention to improve smallholder farmers’ access to extension and veterinary services, market access and climate information to enhance their adaptive capacity to CC impacts. In addition, incorporating climate change awareness trainings into the existing extension packages is crucial to enhance the awareness of farmers on climate change and implement appropriate adaptation strategies. Moreover, it is very essential to provide appropriate herd management and marketing strategy based on the production system to avoid the significant price reduction during drought periods.

Concerned authorities working in CC related sectors should give due attention to improve smallholder farmers’ access to extension and veterinary services, market access and climate information to enhance their adaptive capacity to CC impacts. In addition, incorporating climate change awareness trainings into the existing extension packages is crucial to implement appropriate adaptation strategies. Moreover, it is very essential to provide appropriate herd management and marketing strategy based on the production system to avoid the significant price reduction during drought periods.

This research is focused on smallholder crop-livestock farmers, livestock-based CCASs and presents the determinant factors to their choice of adaptation.