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The COVID-19 pandemic exacerbated food insecurity and insufficiency in the United States. However, the causes of food insufficiency among people with disabilities during the pandemic are not well understood. This paper examined how loneliness and household structure are associated with food insufficiency among working-age adults (ages 18–64) with disabilities during the COVID-19 pandemic. Using 2021 National Survey on Health and Disability data, we conducted logistic regression to estimate the association between loneliness, household composition, and food insufficiency. Measures of household structure, such as the number of children in the household and living with other adults, were not associated with food insufficiency during the COVID-19 pandemic. Secondary analyses found that loneliness had a strong association with food insufficiency for those who live alone. Respondents who lived alone and reported feeling lonely had the highest odds of being food insufficient during the pandemic. Our findings indicate that in addition to household structure, it is important to assess psychosocial well-being, such as measures of loneliness, when examining food insufficiency among working-age adults with disabilities.

This study examines how the introduction of mobile money transfers, while making it efficient and convenient to access funds, has affected rural households’ savings behavior and the banking sector.

This study utilizes Fiji’s most recent agricultural census data to model the agricultural household’s saving decision. The study estimates an probit model to examine rural households' savings behavior. Furthermore, it utilizes time series secondary data to examine how funds transfer has been channeled to rural households in Fiji.

Firstly, the results demonstrate that with the mobile money transfer platform launch, the banking sector has lost substantial money previously used to pass through its system, thus losing service fees and interest income. Furthermore, the findings demonstrate that those using mobile wallet platforms to receive money are more likely not to have a savings account with the bank. Noting the cultural systems and social settings of the native households and the ease of payments via the mobile platform, they tend to spend more on consumption rather than saving, thus making these households more vulnerable during shocks such as natural disasters.

While mobile money transfer is hailed as a revolution, no research has yet picked up the downside to it, that of undermining the very effort by policymakers to get low-income rural households to save. Secondly, this study also highlights how mobile money transfer deprives the banking system of a significant transfer fee income and a source of funds to pool and lend to earn interest income. Furthermore, this study brings to the forefront a dichotomy about how a rural indigenous community sees the welfare and prosperity of their community much differently than what economics textbooks portray.

This paper aims to examine the impacts of unstable off-farm employment on the probability and stability of farmland rent-out and explore its mechanisms.

The paper adopts Ordinary Least Squares (OLS), Probit, Tobit, Order probit models with two-way fixed effects to conduct empirical analysis based on the balanced panel data collected in 2016 and 2023 with a national representativeness sample of 1,206 rural households in 100 villages across 5 provinces in China.

The empirical results showed that unstable off-farm employment had negative effects on the probability of farmland rent-out, but it had no effects on the stability of farmland rent-out. The mechanism analysis showed that unstable off-farm employment affected the probability of farmland rent-out by decreasing the probability of purchasing houses in city and endowment insurance with high pension. Heterogeneity analysis indicated that the negative effect of unstable off-farm employment was much larger for the households with higher share of labor engaging in off-farm employment outside home county, elder members in the households and those located in the villages of mountain areas.

This paper is the first to define the unstable off-farm employment from the perspective of incontiguous off-farm employment for several years, which could capture the normality rather than particular case in a certain year of off-farm employment among rural labors. Using these new measurements of unstable off-farmland, this paper examined the impacts and mechanisms of share of unstable off-farm employment on the probability and stability of farmland rent-out.

The main purpose of this paper is to examine the status of poverty and its reduction by following the inclusive development approach. This study is designed to examine the benefits obtained from development programs, assess the government’s commitment to alleviating social inequality, and its impacts on the redistribution of wealth and poverty reduction.

To evaluate the implementation of the various development schemes and enhance grass-roots participation, a survey was carried out on 540 households, selected through multistage stratified sampling techniques in three different states of Punjab. The study employed an exploratory factor analysis on 21 independent variables to identify the key factors influencing poverty reduction subsequently followed by the binary logistic regression to access the sectoral impact of inclusiveness on poverty reduction in Punjab.

Exploratory Factor analysis extracted six key factors from the selected 21 variables, also called statements: “'Housing Development Resources”; “Human Capital Variables”; “Livelihood Essentials”, “Medical and Family Welfare Benefits”; “Receiving Educational Benefits”; and Social Security Benefits’. Binary logistic regression revealed that Housing Development Resources, Human Capital Variables, and Receiving Educational Facilities, significantly predict the likelihood of poverty reduction with inclusive growth in Punjab.

To provide basic amenities to rural people, increased people’s participation, decentralized planning, extended irrigation facilities, improved equipped facilities, and improved cultivation techniques are pivotal. The Indian Government has implemented several programs and projects to develop and support rural households. However, these schemes have faced many challenges such as rigidity, non-adaptability to local conditions, late disbursements of funds, reallocation of funds to unrelated expenditures by some states, embezzlement, and bribery demands. Hence, the findings indicate the presence of pseudo-inclusivity in Punjab’s growth.

The study’s uniqueness lies in its focus on selected districts of Punjab and also its application of exploratory factor analysis and binary logistic regression to construct a statistical model from the selected variables.

Through the development of an empirical model and using community sport organizations (CSOs) as the basis for intervening variables, this study aims to ascertain the impact of Muslim household consumption, sport development officers (SDOs) and CSOs on Islamic sport development (ISD) during the COVID-19 pandemic.

All of the sports branch managers in Banten Province make up the study’s sample. Non-probability sampling with a purposive sampling strategy was the sampling method used. Making use of a questionnaire to gather data, 275 different sets of data are available for analysis.

Partial least squares is a tool for technical data analysis. With a t-statistic value of 71.358, the Moslem household consumption construct had a favorable and significant impact on the SDO construct. With a t-statistic value of 1.111, the Moslem household consumption construct had a positive but not statistically significant impact on ISD.

With a t-statistic value of 3.926, the Moslem household consumption construct had a positive and statistically significant impact on CSOs. With a t-statistic value of 1.111, the SDO construct had a positive and statistically significant impact on ISD. This study makes a new contribution by providing practical recommendations for the relationship between ISD authorities, community sports organizations and the positive and substantial impact on the development of the community and ISD.

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 assesses distress in the lives of farming population in Ghana's northern interior. Whereas recent studies addressing mental health in Africa produce evidentially sound analyses of the correlated role of food and water insecurity, this study engages with how and why worries over educational costs feature so prominently in a measure of psychosocial well-being. While it is significant that education identifiably figures in escalating the experience with distress, my contention is that what is more important is putting that escalation into the context of why. I use Narotzky and Besnier's framework for understanding the economy as the interactions between crisis, value, and hope to situate a mixed methods study concerned with how distress is proximately shaped by the interactive socioeconomic features of daily life (paying school fees, buying food, cultivating maize, etc.) but ultimately shaped by structural features of the political economy that direct people's objectives amid chronic crisis. My proposition is that because education is where value resides, it is a primary vehicle by which people are acting in crisis in a hopeful manner. In this way, this study leverages the tools of economic anthropology within debates about how to best assess the ways in which health and illness are shaped by socioeconomic realms.

This study aims to test the Kuznets curve between economic growth and child labor, along with the influence of exports, household size and rural population in the context of Pakistan.

To achieve the research objective, this study applied the unit root test, bound co-integration test, and autoregressive distributive lags (ARDL) method for the period of 1972–2021.

The findings show an inverted U-shaped relationship between economic growth and child labor indicating that at the beginning stage of economic development, child labor increases due to lower per capita household and subsequently, in the long-run of economic development, child labor decreases due to the higher per capita households. Moreover, the results also show that exports, household size and rural population have a positive influence on increasing child labor.

The policymakers and government of Pakistan need to focus on long-term economic growth policies, ensure free quality education and cheap equipment which practices minimum manpower to reduce the threat of child labor.

Having long-run economic growth, the government of Pakistan need to equally benefit the households and the poor population to reduce child labor and enhance the social welfare of society.

To the best of the authors’ knowledge, this is the first study that investigates the Kuznets curve relationship between economic growth and child labor in the context of Pakistan. Moreover, this study contributes to the reduction in child labor through long-term economic growth in the context of Pakistan.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0387

Our present quest for sustainable cities requires a holistic understanding of city construction and people’s well-being. Feminist scholars have shown that urban space does not attend to women’s needs. This study focuses on women’s everyday life in Athens, Greece in late-1980s. This is a unique spatio-temporal point since it is located at the edge of several prevailing dichotomies – geopolitical, cultural and temporal. It examines how women use, experience and reconstitute public spaces in the city and aims to understand both how public spaces – with their material and social dimensions – restrict women’s lives, and how women reappropriate and (re)constitute urban space. It is based on in-depth interviews with women from three areas of Greater Athens, with different social class profiles. It focuses on neighborhood as a physical space, women’s social networks in the neighborhood and women’s mobility. The main findings include that the nexus of gender and class is inscribed in public spaces so that these restrict women and their right to the city; the organization of public spaces ignores women’s reproductive responsibilities; women participate in the public sphere, but gender hierarchies have not been eliminated; while local social networks are fundamental for women in their efforts to reappropriate public spaces. It concludes that the transition to sustainable – enjoyable – inclusive cities will benefit from incorporating women’s experiences and needs; adopting a socio-spatial perspective that focuses on everyday life; a focus on social reproduction too; and an explicit aim to eliminate gender hierarchies (rather than inclusion).

In Morocco, as in many developing countries, environmental responsibility is not well integrated into corporate management at the operational, tactical, and strategic levels. While the management literature offers a rich body of knowledge on Corporate Social Responsibility (CSR) strategies and practices, less attention has been paid to exploring the complexity of environmental responsibility through the lens of corporate culture. This research aims to address this gap by examining the influence of cultural factors on the deployment of environmental responsibility using Johnson's (2000) model of corporate culture. This model identifies seven components of corporate culture: stories or myths, symbols, power structures, organizational structures, control systems, rituals and routines, and paradigms. Through a Moroccan industrial group case study, this chapter presents the successful deployment of environmental responsibility and describes how managing cultural factors facilitated this transition. This chapter also identifies the unique aspects of the group's culture that allowed redesigning the company's management systems. These insights offer valuable implications for managers and policymakers seeking to improve the environmental performance of large enterprises in developing countries.