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This study aims to investigate the influence of specific socioeconomic factors, namely neighborhood, gender roles and affordability, on the continuous use of clean cooking technologies (CCTs) in households, using evidence from Uganda.

This study adopted an explanatory quantitative design. A questionnaire survey with 379 clean household responses was conducted. The data were analyzed using the Smart Partial Least Squares (PLS) software.

The results indicate that the sustained use of clean cooking technologies in households in Uganda is significantly associated with neighborhood influence, shared gender roles and affordability, collectively accounting for 27.7% of the variance.

The three dimensions of socioeconomic factors under study partially explain the sustained use of CCTs in Uganda. The study does not delve into other socioeconomic factors that could probably account for 72.2% of the variance not explained. The quantitative design may have overlooked the social reality perspectives inherent in qualitative studies that other researchers may endeavor to exploit.

The authors integrated three dimensions of socioeconomic factors – neighborhood influence, gender roles and affordability – with the diffusion of innovation theory (DIT) using Smart PLS to explain the continuous use of CCTs within households.

In the Global North, affordable housing has evolved and thrived, and it is now gaining traction in the Global South, where governments have been vocal supporters of the concept. Therefore, this paper aims to investigate the important criteria for selecting affordable housing units in Ghana.

A quantitative research approach was used, and a survey was administered to the residents. The data was analysed using both descriptive and inferential statistics. The relative importance index technique was used to rank the important criteria, and the EFA technique was used to create a taxonomy system for the criteria.

The hierarchical ranking of the most significant criteria for selecting affordable housing includes community safety, waste management and access to good-quality education. Furthermore, the important criteria for selecting affordable housing are classified into two groups, namely, “sustainability criteria” and “housing demand and supply and social service provision”.

This study has implications for the real estate industry and construction stakeholders, as this will inform decision-making in terms of the design of affordable housing and the suitability of the location for the development.

These findings provide a baseline to support potential homeowners and tenants in their quest to select affordable housing. Furthermore, these findings will aid future longitudinal research into the indicators or criteria for selecting suitable locations for the development of low- and middle-income housing.

The challenge of accessibility to adequate housing in several countries by a large percentage of citizens has given rise to different housing programs designed to facilitate access to affordable housing. In South Africa, the National Housing Finance Corporation (NHFC) was created to provides housing loans to low- and middle-income earners. Thus, the purpose of this study was to evaluate the implication of the macroeconomic risk elements on the performance of the NHFC incremental housing finance.

This study used a mixed-method approach to examine the time-series data of the NHFC over 17 years (2003–2020), relative to selected macroeconomic indicators. Additionally, this study analysed primary data from a 2022 survey of NHFC Executives.

This study found that incremental housing finance addresses a housing affordability gap, caters to disadvantaged groups, adapts to changing macroeconomic conditions and can mitigate default risk. It also finds that the performance of the NHFC’s incremental housing finance is premised on the behaviour of the macroeconomic elements that drive its strategy in South Africa.

Unlike previous works on housing finance, this case study of the NHFC considers the implication of macroeconomic trends when disbursing incremental housing finance to low- and middle-level income earners as a risk mitigation measure for the South African market. Its mixed method use of quantitative and qualitative data also allows a robust insight into trends that drive investment in incremental housing finance in South Africa.

A key issue to manage sustainability is to be able to operationalise it. Relevant indicators require an appropriate definition of sustainability and sustainable development for the studied organisation. A common problem is inadequate understanding of what sustainability is from an organisational perspective. The purpose of this paper is to propose how to understand, define and measure diagnosing of sustainability from an outside-in perspective.

The building, health care, education and tourism value chains are studied. Based on interpreted stakeholder sustainability needs the stages of understanding, defining and measuring of diagnosing are reviewed, and interpretations proposed. This is with focus on identifying the vital few sustainability impacts in the studied value chains.

The resulting definitions and proposed performance indicators for the chosen areas indicate that the approach works resulting in proposed definitions and indicators for sustainability and sustainable development based on stakeholders need focus. Having clear definitions and performance indicators will support working effectively with sustainable development.

The resulting definitions and proposed performance indicators for the chosen areas indicate that the approach works. Further, proposed definitions and indicators for sustainability and sustainable development based on stakeholder needs focus is useful. Having clear definitions and performance indicators will help an organisation engage with sustainability and be sustainable within an organisational context.

The proposed approach enables using quality management for sustainable development.

Social sustainability is viewed from a poverty and affordability perspective.

Results indicate that there is a value in using an outside-in approach with focus on stakeholder needs in connection with a process-based approach. The approach is in contrast with the customary way of defining sustainability which mostly is based on an inside-out approach identifying several indicators and then adding these to a measure of sustainability.

The purpose of the study is to assess the quality of life (QOL) of older adults and explore factors associated with it.

A cross-sectional study was conducted in a remote community in Nepal. A total of 671 older adults aged 60 years were enrolled in the study. QOL was measured by WHOQOL-OLD questionnaire. Data were analyzed using multiple logistic regression.

Most participants were female (53.0%), illiterate (70.6%), married (64.2%) and living with family (59.3%). Among participants, 82.4% had fair QOL, and the autonomy domain received the lowest score (average = 10.98). After adjusting the model, the elderly aged <70 years had 11.07 times better QOL (aOR = 11.070; 95% CI = 2.546–48.123), elderly with high sufficient income had 2.73 times better QOL (aOR = 2.738; 95% CI = 1.183–6.337) and elderly free from depression had 9.45 times better QOL (aOR = 9.452; 95% CI = 3.466–25.773) compared to their counterparts. The elderly receiving social support had 9.97 times better QOL than those who did not (aOR = 9.976; 95% CI = 3.152–31.574), and those able to afford healthcare services had 4.69 times better QOL than those who could not afford it (aOR = 4.694; 95% CI = 1.046–21.063).

The five predictors – age, income sufficiency, depression, social support and healthcare service affordability – were found to significantly affect QOL. This study suggests special care strategies for vulnerable older adults addressing the issues that affect geriatric depression. This article provides relevant information to the government to consider increment of income, encourage family and community for social support and make health services affordable for older adults.

This study aimed to identify the proportion and factors influencing the use of maternal health services (MHS) in rural Thawang, Rolpa, Nepal.

This was a community-based cross-sectional study conducted among 417 mothers who had given birth in the previous two years. Bivariate and multivariate logistic regression was applied to identify associations and predictors.

The results showed that the use of maternal health services was 50.8%. Adjusting for all other factors in the final model, age group 25–30 years (AOR: 2.30; 95% CI: 1.199–4.422), spouse communication (AOR: 7.31; 95% CI: 2.574–20.791), high accessibility (AOR: 2.552, 95% CI: 1.402–4.643) and high affordability (AOR: 10.89; 95% CI: 4.66–25.445) were significant predictors.

This is a community-based cross-sectional study, and hence cannot establish causal relationships. The research was conducted in a limited rural area mid-Western Nepal, and this may limit the generalization of results to other settings of the country.

This research supports to local level government and district health authority to develop and implement need based action to increase maternal health service in the local context.

Underutilization of maternal health services is the result of socioeconomic dynamics, poor access to health services and other physical developments. To increase utilization of maternal health services in rural areas, there is a need to tackle the root cause of health inequality such as reducing poverty, increasing female education, involving women in employment and increasing access to health as a priority development agenda by government authorities. This research supports local level government and district health authorities to develop and implement needs-based action to increase MHS in the local context.

The purpose of this paper is to estimate the changes of dental caries status among Thai adults and elderly under the different policy options using system dynamics modeling.

A multi-sector system dynamics model was developed to capture the dynamic interrelationship between dental caries status changes and oral health behavior – including self-care, dental care utilization and sugar consumption. Data used to populate the model was obtained from the Thai national oral health survey in 2000, 2006, 2012 and Thailand Official Statistics Registration. Three policy scenarios were experimented in the model: health promotion policy, dental personnel policy and affordable dental care service policy.

Dental caries experiences among Thai adults and elderly were projected to increase from now to 2040, as the elderly population increases. Among all policies experimented herein, the combined policies of health promotion, increased affordability and capacity of dental health service were found to produce the highest improvement in dental caries status with 3.7 percent reduction of population with high decayed, missing and filled teeth (DMFT) and 5.2 percent increase in population with very low DMFT.

This study is the first comprehensive simulation model that attempts to explore the dynamic interrelationship among dental caries experiences and behavioral factors that impact on oral health outcomes. In addition, the simulation model herein offers a framework for policy experimentation that provides policymakers with additional insights to inform health policy planning.