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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

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.

The measurement of women's economic welfare and exploring its underlying factors have been undervalued in the context of Khyber Pakhtunkhwa, Pakistan. This study addressed this gap by focusing on assessing women's subjective economic welfare and its socioeconomic and cultural determinants in the education and health sectors within Mardan, Northern Pakistan.

The study used stratified random sampling techniques for the selection of sample respondents and collected data through a well-structured questionnaire. To measure women’s economic welfare, the study utilizes Lorenz curves, the Gini index, the Sen Social Welfare function and an individual's gross monthly income. Furthermore, the ordinary least squares method was utilized to analyze the determinants of economic welfare.

The findings show greater income inequality and a lower welfare level for women in the education sector compared to the health sector. Likewise, the study identifies several key determinants, such as age, educational qualification, job experience, respect for working women, outside and work-place problems and the suffering of family members of working women for their economic well-being.

This study makes valuable contributions to the literature by focusing on the cultural perspective of Pakhtun women in Mardan and providing a context-specific understanding of subjective economic welfare. Additionally, the authors collected first-hand data, which gave an original outlook on working women's current economic welfare level. Furthermore, this study undertakes a comparative analysis of working women's welfare in the health and education sectors. This comparison offers a more accurate portrayal of the challenges and opportunities specific to these occupations.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0246

This study aims to measure the status of rural household food security across regions using multidimensional indicators. It also aims to identify the determinants of rural household food security in Ethiopia.

The study adopted descriptive and explanatory designs. It used data from the fourth wave of the Ethiopian socioeconomic survey that has 3,115 respondents. The authors constructed household food security index using variables that capture availability, access, utilization and stability dimensions of food security. The authors categorized households into relative food security groups, namely, alarming and moderately food insecure, as well as moderately and highly food secure. Beta regression model, which is widely used to analyze response variables that assume values between 0 and 1, is used to estimate the determinants of food security.

The study finds that 77.7% of rural households are food insecure. Of this, 90% are moderately food insecure. Regional variations in magnitude of food security showed that Harari, Gambella and Benshanguel Gumuz regional states are relatively better-off than other regions in Ethiopia. The study identified sex, education level, marital status, location and wealth status of households as significant determinants of food security.

This study sheds light on regional variations in multidimensional food security in Ethiopia. It thus challenged previous estimates of food security using uni-dimensional indicator. It highlighted the need for region-specific analysis of determinants and a follow up of tailored regional interventions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0139

This study aims to explain the existing adaptation practices in an urbanized sub-region in the lower Chao Phraya River basin (CPRB) across different scales and dimensions. It offers an overview of water hazards in urban areas along the river basin to discover ways to deal with and recover from hazards via understanding the implications of existing and potential practice for the mitigation of hydrological hazards.

First, this study collected current adaptation strategies and measures from interview, focus group discussion, workshop organization, etc. to get the current adaptation strategies/measures for the whole CPRB and each specific area. Second, this study identified a set of criteria for evaluation from review of current publications and official reports. Then, the current adaptation strategies/measures were examined through a set of criteria to obtain the current situation of existing practices. Finally, analysis of key challenges and opportunities was done to propose supporting guidelines to reduce hydrological risks and incorporate further adaptation measures needed to boost resilience in the area.

Adaptation methods should focus on mixed adaptation, which integrates structural, social, organizational and natural adaptation, and to develop multi-dimensional collaboration. The adaption strategy has restricted the usage of some technologies and technical know-how, particularly in the area of climate change. As a result, intentional adaptation to become more inventive is required, to reduce hazards and improve disaster-response capacity. The various adaptation measures should be more integrated or more adaptive and to achieve greater cohesion and mutual benefit of individual measures, such as community-based adaptation or community-driven slum upgrading.

Hydrological risks are wreaking havoc on social, economic and environmental elements, particularly river flood, flash flood and drought in the Asia-Pacific region. Twenty-two existing adaptation options were evaluated with evaluation criteria such as scales of risks/impacts reduction, benefits of environmental and socio-economic and institutional aspects. The findings highlight the current situation of existing practices, key challenges and opportunities, which emphasized on natural-based solutions, raising knowledge and awareness and lessons learned on adaptation of hydrological risks. The existing adaptation measures will be suggested as supporting guidelines and master plans to minimize the hydrological risks.

The MENA region is very rich in terms of natural resources. At the same time, the MENA region has also been a victim of terrorism during the last few years. This study is an attempt to investigate whether there is any relationship between natural resources and terrorism in the MENA region.

We have focused on 15 resource-rich countries located in the MENA region for the period 2002–2019. We have applied appropriate econometric techniques and have also controlled for other dominant determinants of terrorism while studying the relationship between these two variables.

The results provide solid evidence in favor of the hypothesis that natural resources encourage terrorism. We find that natural resources have positively impacted terrorism. Besides, the natural resources, other factors such as per capita GDP, trade openness, political stability, domestic investment and government expenditures have negatively impacted terrorism. Moreover, the findings suggest that FDI and corruption are irrelevant in explaining terrorism while the findings regarding employment level and terrorism are unexpected. The obtained results are robust to alternative estimating methodologies.

The results have serious policy implications for the MENA region. The MENA region in general is suggested to devise appropriate policies regarding their huge natural resources so as to tackle the terrorism problem effectively. Similarly, paying favorable attention to trade liberalization, political stability, government expenditures, investment, rising income of the population in the presence of macroeconomic stability in the form of lower inflation would also help the MENA region to eradicate the problem of terrorism.

The available literature has largely ignored the role of natural resources in explaining the problem of terrorism. Therefore, this study has provided relatively new evidence regarding the determinants of terrorism.

The purpose of this systematic review is to assess if there is a relationship between literacy abilities and mental health outcomes as reported in global literature. Fourteen percent of the global population has little or no literacy. Literacy skills impact on daily functioning and have been shown to impact on social outcomes. Whilst there has been research examining the potential association between literacy and mental health outcomes in specific populations, there has been no systematic review of this literature to date.

A systematic review was carried out using Embase, PsycINFO and PubMed to identify relevant papers that measured both literacy and mental health. Data relating to the association between literacy and mental health were extracted. The papers included were assessed for quality using a bespoke quality rating tool. A narrative synthesis describes the findings.

Nineteen studies from across nine countries were included in the analysis. Seventeen studies showed a significant association between literacy and mental health, those with lower literacy had greater mental health difficulties. Some papers reported factors that interacted with this association, such as age, gender, poverty and years of education.

To the best of the authors’ knowledge, this is the first systematic review to look at the global picture of literacy and mental health. It suggests there is a relationship between literacy abilities and mental health outcomes, highlighting the importance of healthcare professionals and services including identification of literacy needs within routine mental health practice.

This paper aims to evaluate the progress made in achieving sustainable development goal-2 (SDG 2) in India, with a focus on ending hunger, ensuring food security, improving nutrition and promoting sustainable agriculture. The assessment uses data from SDG Index reports, which offer a comprehensive overview of the advancements made by 28 states and 8 union territories (UTs) in India.

The evaluation is based on information derived from three editions of the SDG Index reports, initially published in 2018 and subsequently in 2019 and 2020. These reports provide a detailed analysis of the status and achievements of different states and UTs in relation to SDG 2. The categorization of states and UTs into aspirant, performer, front runner and achiever categories serves as a crucial framework for assessing the progress.

Despite concerted efforts by India, the majority of states and UTs are positioned in the aspirant and performer categories, suggesting that significant challenges persist in achieving SDG 2 targets. The results emphasize the necessity for stronger measures to elevate states and UTs to the categories of front-runners and achievers. The persistent challenges of malnutrition, hunger and their economic ramifications require immediate and strategic interventions to address these pressing concerns.

This paper contributes to the existing literature by providing a comprehensive analysis of the progress towards SDG 2 in India, using the insights from the SDG Index reports. The categorization framework used in this assessment offers a nuanced understanding of the challenges faced by different regions, highlighting the original contribution of this study. The findings underscore the urgency of targeted efforts to address malnutrition, hunger and related issues, emphasizing the importance of sustained commitment to achieving SDG 2 for the overall well-being of vulnerable populations.