Search results

The purpose of this study is to investigate the socioeconomic determinants of property crimes on convicted offenders in the Chilga district correctional institution (CDCI).

This study conducted a socioeconomic determinant of property crimes on convicted offenders using quantitative research. Respondents consisted of a random sample of 170 convicted offenders in CDCI. This study used descriptive statistics, logistic regression and Pearson correlations for analyzing the quantitative data in CDCI.

The results of the study showed that the age at first engagement, educational status, offender’s immediate economic situation and previous experience of the offender were the perceived reasons in one’s major property crime offending. However, average monthly income, peer effect and family structure (grown up with) were found to be non-perceived reasons. Youths who are unmarried, illiterate and unemployed offenders had over three times more probabilities of committing theft than robbery and burglary in the winter season, especially in February, because of the determinants of illiteracy and unemployment such as negligence for the future life. Furthermore, the convicted offenders who were illiterate, unemployed and raised by single parents have engaged in theft for the first time, but burglary and robbery by employed and literate offenders in more probable.

This paper takes a fresh perspective on knowledge about property crime and economic as well as criminological theories using various bodies of academic research. This paper’s insight will be helpful to fill the literature gaps; there are lot research studies with little investigations addressing to the issue of the determinants of property crime. It will also be useful for policymakers to mitigate the determinant of property crime.

The purpose of this paper is to investigate how socioeconomic status and demographic factors were associated with child malnutrition as well as how these factors accounted for socioeconomic inequality of child malnutrition in Bangladesh during 2007-2011.

Data of this study come from two cross-sectional rounds (2007 and 2011) of the Bangladesh Demographic and Health Survey. This paper uses ordinary least square models to estimate the correlates of child malnutrition. The study further uses the concentration curve and the concentration index to estimate socioeconomic inequality of child malnutrition in Bangladesh. Finally, the decomposition method is used to explain socioeconomic inequality of child malnutrition in the study period.

Regression analysis indicates that child’s age, breast feeding, child’s birth order, the number of under-five child in the household, household wealth and parental education were strongly correlated with child malnutrition in Bangladesh. This study finds that absolute level of child malnourishment slightly decreased between 2007 and 2011, but socioeconomic inequality increased during this period. Children from the poorest household endured the burden of malnourishment more than those from the wealthiest households. The level of inequality also increased among the rural children, although it remained stagnant among the urban children. Decomposition analysis highlights that parental education had a significant negative relation with the average level of malnutrition, but its role was primarily centred among children from wealthier households.

An approach linking the ministry of health and education with other ministries may speed up the reduction of inequalities in social determinants of childhood undernourishment. Most importantly, there is a need for comprehensive government policies to reduce growing economic inequality and increase the relative income of the poor in Bangladesh.

This study is the first of its kind to apply the decomposition method to explain the socioeconomic inequality of child malnutrition in Bangladesh. This paper presents an enriched understanding of socioeconomic inequality of child malnutrition in Bangladesh during 2007-2011.

Oral health is a major public health problem, both in developed and developing countries. The purpose of this paper is to examine the utilization of dental care and identify the main socioeconomic factors affecting the use of these services in the city of Sanandaj, west of Iran, in 2015.

A cross-sectional survey using multistage sampling was conducted to obtain information on the dental care visits of 520 head of households in Sanandaj. A self-administered questionnaire was used to collect data on the utilization of dental visits. Multivariable logistic regression was used to identify the main socioeconomic factors affecting the utilization of dental care in Sanandaj.

Results showed that 61.3 percent of the respondents visited a dentist at least once in the last year, of which 45 percent visited dentist for restoration, 27.9 percent had extraction and 10.3 percent had a dental checkup. The average number of dentist visits by respondents was 1.9. Regression results indicated a significant association between socioeconomic factors (e.g. income, educational level and employment status) and utilization of dental care.

This study suggested that dental care visit was influenced by socioeconomic status of households. Therefore, strategies aimed at improving dental care utilization for socioeconomically disadvantaged households (e.g. dental health insurance) are required to promote oral health among socioeconomically disadvantaged groups.

The differences in the distribution of factors associated with under-five mortality (UFM) can help explain the rural-urban inequities in UFM. The determinants contributing to UFM in rural and urban areas have not been previously explored in Bhutan. This study examined the factors associated with UFM in rural and urban Bhutan and the role of the factors in explaining UFM disparity.

The dataset of 6,398 single births (4,999 in rural and 1,399 in urban areas) from the 2012 Bhutan National Health Survey was analyzed. Logistic regression analysis accounting for the complex survey design was performed to investigate the determinants.

The UFM rate was 2.75 times higher in rural than in urban Bhutan. In rural communities, children of younger mothers, born in households without safe sanitation and electricity, and central and eastern regions had increased UFM odds. Whereas, children born to working mothers and educated fathers, and born in households with non-working household heads had lower UFM odds in urban areas. A higher number of births and smaller household size was associated with an increased UFM odds irrespective of rural-urban residence. Environmental factors were attributable for the largest portion of rural UFM disadvantage.

This study helps to understand the rural-urban differences in the factors influencing UFM in Bhutan. The findings suggest that policies aimed to improve environmental and socioeconomic conditions, women empowerment, and those aimed to enhance health utilization can help reduce the rural-urban child survival disparity and accelerate the achievement of the Sustainable Development Goal target.

The empirical research of e-government at the local level has been the subject of many studies in the last two decades. The evidence collected by those studies constitutes a relevant opportunity toward the development of a theory of local e-government implementation. However, several synthesis efforts are needed before such a theory can be developed. The purpose of this article is to contribute to that endeavor by proposing an empirical model of the determinants of e-government implementation by local governments.

The empirical model results from the systematic revision of 59 primary studies published in scientific journals, between 2002 and 2018. As a starting point, a conceptual map relating concepts such as readiness, diffusion, adoption, implementation and institutionalization is presented.

There is a common set of determinants that explains local e-government implementation in general, and three other sets of determinants that contribute to differentiate each one of three e-government dimensions: e-participation, e-transparency and e-services.

Because it was found that different determinants are associated with different e-government dimensions, future empirical studies should differentiate between those dimensions when studying local government.

This is the first study to attempt a synthesis effort on the determinants of e-government implementation by local governments.

The paper aims to find out how far the size of household landholding directs patriarchal traits and thus influence women's autonomy.

The study used a two-part methodology. The first part provides theoretical background based on existing literature on women's autonomy and related information in formulating the “landholding-patriarchy hypotheses”. The second part of this study evaluates the empirical evidences of the association between the size of household landholding and women's autonomy.

Results indicate considerable variation in women's autonomy with the size of their household landholding: women's autonomy decreases with increasing size of household landholding. Evidence suggests that landholding directs patriarchal traits, as manifested in a reasonable influence on women's autonomy in rural India.

The paper innovates a means to understand the contributing factors to lowering women's autonomy, thus explore the relevance of “landholding-patriarchy hypothesis”.

Many psychiatrists and trainees in Aotearoa New Zealand used telepsychiatry during COVID-19 lockdowns, despite minimal experience and training in the area. Research on a culturally safe telepsychiatry framework is lacking in Aotearoa. This study aims to provide a better understanding of telepsychiatry in the Aotearoa context and identify potential gaps with the current practice, with a focus on exploring telepsychiatry use with Maori, Pacific peoples and Asians.

This qualitative study was guided by the principles of the Kaupapa Maori methodology and the “Give Way Rule” from Pan-Pacific studies, to ensure culturally appropriate analysis and outcomes. Semi-structured interviews were conducted with a sample of psychiatrists and trainees recruited from Aotearoa members of the Royal Australian and New Zealand College of Psychiatrists. The qualitative data were then analysed using general inductive thematic analysis to identify the major themes.

In total, 18 participants were interviewed. Three key themes were identified: cultural safety such as preparation for a telepsychiatry session, cultural practices and equity issues; clinical practice such as continuity of care, patient selection and limitations; and process of running a telepsychiatry service.

The analysis of the main themes gives both practical ideas for providing a culturally safe telepsychiatry appointment, as well as a wider base for developing a telepsychiatry service that works particularly for Maori, Pacific and Asians mental health users. Issues around resources and expertise in the field are lacking and further frameworks to support infrastructure and training are needed.

This paper aims to measure the extent of digital financial inclusion (DFI) and examine the effect of socioeconomic characteristics on using government remittances and the adoption of digital financial services (DFS) during the COVID-19 pandemic.

The World Bank Global Financial Inclusion (Global Findex) database 2021 is used in this study, with a sample size of 3,000 Indian individuals. The study measured the demand-side analysis of DFI, namely, accessibility and usage of DFS with selected socioeconomic characteristics such as gender, age, income, education, being in the workforce and residential status of respondents. The dependent variable is binary in nature; therefore, the logistic regression model is used for the data analysis.

The results of the study reveal that individuals’ socioeconomic factors, such as female, all the age groups, tertiary education, third- and fourth-income quintile and workforce, are found to have a significant association with “accessibility,” an exogenous variable of DFS. Besides, respondents’ socioeconomic attributes, namely, female, tertiary education, income for all quintiles and workforce, are more likely to use DFSs in the COVID-19 pandemic. The study also finds the residential status of individuals is influencing the accessibility and usage of DFS.

The findings of the study provide valuable insights to the service providers and policymakers regarding the rapid expansion of DFS by digital infrastructure, simplifying the banking procedures and highlighting the importance of digital financial literacy to accomplish government goals through serving the unbanked population and also design strategies for achieving the objectives of Digital India: “Faceless, Paperless, and Cashless” of DFI across the country.

Notable studies used World Bank Findex survey data to explore the determinants of financial inclusion in general. This research is one among the few studies to explore the determinants of India’s DFI. Moreover, this study measured the effect of individual socioeconomic attributes on the adoption of DFSs during the COVID-19 pandemic, which has not been included in prior studies. Therefore, this study has added value to the existing literature on financial technology innovation and DFS for the sustainable development of emerging nations.

The purpose of this bibliometric study is to report research output and publications on the social determinants of health and health outcomes. This study condenses numerous studies into a single paper, which not only provides insights into the worldwide growth and advancement of the study field but also establishes a research agenda for the future.

Using the Scopus database, a thorough bibliometric study of the worldwide scientific output on social determinants of health from 2000 to 2021 was conducted. With the assistance of VOS viewer and R-based scientometric software, the worldwide development of research on social determinants of health was analysed through performance analysis and network map visualisation.

This study identified the most influential authors, studies, journals and affiliations in the field of social determinants of health, as well as the most co-cited authors and journals, based on a bibliometric analysis of 1,203 research papers retrieved from the Scopus database during the past two decades (2000–2021). Beginning in 2000 with one publication and ending in 2021, 274 articles were viewed online, relevant to the social determinants of health. From 2014 to 2021, publications continue to grow at an accelerating pace.

To the best of the authors’ knowledge, this is one of the first studies to review the social determinants of health and its outcomes. The findings of the chosen studies represent a novel and important addition to the study of social determinants of health. It offers a comprehensive bibliometric analysis of publications, in addition to the identification of vital research trends.

This study aims to estimate the degree and nature of socioeconomic-related inequalities in sexual and reproductive health in Ghana and further assesses causes of these inequalities using decomposition technique. The authors assess the contribution of personal characteristics of the woman including access to health information and health seeking behaviours, household and locational characteristics to inequalities in sexual and reproductive health in Ghana. The study uses data from the three rounds of the Ghana Demographic and Health Survey conducted in 2003, 2008 and 2014.

Two indicators – use of modern contraceptives and intention to use modern contraceptives – are used to measure sexual and reproductive health of sexually active women. A wealth index, based on household ownership of assets, consumer goods and living conditions, is used as a measure of socioeconomic status. The paper estimates a concentration index to the relationship between cumulative health and socioeconomic rank. Paper procedures to apply decomposition techniques to determine the causes of socioeconomic inequalities in health based on a linear health regression model.

The study finds evidence of varying degrees of socioeconomic-related inequalities in sexual and reproductive health indicators. Specifically, the study finds that whilst use of modern contraceptives was concentrated among women in households with high socioeconomic status in 2003 and 2008, modern contraceptive use was prevalent among women in low socioeconomic status households in 2014. Equally, the study finds significant pro-poor inequalities in the intentions to use modern contraceptives in 2003 and 2014. The degree of socioeconomic inequalities in the intentions to use modern contraceptives increased between 2003 and 2014.

There is the lack of evidence on the degree, nature and causes of socioeconomic-related inequalities, which in tend impedes the design and implementation of sexual and reproductive health policies targeted at vulnerable and under-served populations. In addition, there is the need to study inequalities in health over time to monitor progress of health delivery systems towards equitable and universal coverage and understand the evolution of the determinants.