Barriers in access to healthcare services for individuals with disorders of sex differentiation in Bangladesh: an analysis of regional representative cross-sectional data

Impact of legal recognition on the lives of the third gender: A study in Khulna district of Bangladesh

The third gender, popularly known as 'hijra', is a gender non-conforming person residing in Bangladesh. The government of Bangladesh granted legal recognition (LR) in 2013 to acknowledge them as a third gender. Thus, using an exploratory qualitative inquiry, the study sought to understand how LR affected the lives of the third gender community in the Khulna district of Bangladesh. Thirteen participants were selected following snowball sampling, and data were collected using in-depth interviews and key informant interviews. In the domain of socio-cultural dynamics, we found that the LR had enhanced the social participation of the third gender community and given them a sense of identity. On the contrary, within the domain of economic lives, the LR has not been able to change their economic situation. Moreover, in the third domain, we observed an improved situation for the third gender population in their right to vote and political participation, but in accessing healthcare facilities, inheritance, and legal services, LR remained unsatisfactory. The study recommends promoting acceptance and reducing social stigma towards the third gender community through awareness campaigns, providing professional training programs to enable their financial independence, and enacting laws to protect their rights in Bangladesh.

Data-Driven Evaluation and Optimisation of Livelihood Improvement Efficiency

In this study, we developed a data-driven approach for the evaluation and optimisation of livelihood improvement efficiency (LIE) to address slowing global economic growth and the decline in well-being in the broader population, enhance the quality of people’s livelihoods, and promote sustainable social development. We designed a questionnaire survey and constructed an evaluation index system based on a comprehensive consideration of economic resources, social security and employment, education, and health. Using principal component analysis, entropy weighting, and data envelopment analysis, we optimised the evaluation indicators and quantitatively assessed LIE. We used a Tobit regression model to analyse the factors influencing LIE and provide decision-making support for proposing countermeasures to optimise LIE. Based on the research data, we administered the questionnaire survey to 3125 residents in 16 cities in China’s Anhui Province and demonstrated the applicability of the aforementioned method. The results indicate that there is room for optimising LIE in cities in Anhui Province, which needs to be achieved through the following steps: controlling costs and avoiding waste, encouraging entrepreneurship, increasing income, guiding the direction of industrial growth, optimising regional population structure, and promoting public participation to enhance people’s livelihoods.