Search Results (105)

This study seeks to identify the factors driving household food insecurity in Cameroon during the COVID-19 pandemic, examine the effects of coping strategies on household resilience, and explore complementarities among these strategies. We used data from the COVID-19 panel surveys conducted by the National Institute of Statistics of Cameroon. Three models are estimated: an ordered logit model for food insecurity factors, a logit model for the impact of coping strategies, and a multivariate probit model for complementarities. The findings reveal that food insecurity is exacerbated by conflict, socio economic shocks (e.g., loss of employment, crop theft), and price hikes. About 28.59% of households are resilient, mainly due to past savings, cash transfers, free food, and in-kind transfers. The study emphasizes the importance of social and governmental support to mitigate food insecurity during crises, and underscores the need for monitoring socio-economic conditions during pandemics and other crises. Full article

Irrigation areas in arid regions are vital production areas for grain and cash crops worldwide. Grasping the temporal and spatial evolution of planting configurations across several years is crucial for effective regional agricultural and resource management. In view of problems such as insufficient optical images caused by cloudy weather in arid regions and the unclear spatiotemporal evolution patterns of the planting structures in irrigation areas over the years, in this study, we took the Santun River Irrigation Area, a typical arid region in Xinjiang, China, as an example. By leveraging long time-series remote sensing images from Sentinel-1 and Sentinel-2, the spectral, index, texture, and polarization features of the ground objects in the study area were extracted. When analyzing the index characteristics, we considered several widely used global vegetation indices, including the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Adjusted Vegetation Index (SAVI), and Global Environment Monitoring Index (GEMI). Additionally, we integrated the vertical–vertical and vertical–horizontal polarization data obtained from synthetic aperture radar (SAR) satellite systems. Machine learning algorithms, including the random forest algorithm (RF), Classification and Regression Trees (CART), and Support Vector Machines (SVM), were employed for planting structure classification. The optimal classification model selected was subjected to inter-annual transfer to obtain the planting structures over multiple years. The research findings are as follows: (1) The RF classification algorithm outperforms CART and SVM algorithms in terms of classification accuracy, achieving an overall accuracy (OA) of 0.84 and a kappa coefficient of 0.805. (2) The cropland area classified by the RF algorithm exhibited a high degree of consistency with statistical yearbook data (R² = 0.82–0.91). Significant differences are observed in the estimated planting areas of cotton, maize, tomatoes, and wheat, while differences in other crops are not statistically significant. (3) From 2019 to 2024, cotton remained the dominant crop, although its proportional area fluctuated considerably, while the areas of maize and wheat tended to remain stable, and those of tomato and melon showed relatively minor changes. Overall, the region demonstrates a cotton-dominated, stable cropping structure for other crops. The newly developed framework exhibits exceptional precision in categorization while maintaining impressive adaptability, offering crucial insights for optimizing agricultural operations and sustainable resource allocation in irrigation-dependent arid zones. Full article

The present study examines the relationship between the cash conversion cycle (CCC) and profitability in major service sectors in Greece, including hotels, education, healthcare, transfer—rentals, and information technology. Using financial data from 343 public limited companies for the year 2023, the research applies descriptive statistics, Pearson correlation analysis, and ANOVA to evaluate how CCC components affect profitability, measured through return on assets (ROA). The results indicate that firms across all sectors maintain a negative CCC, suggesting efficient liquidity management, with the education sector exhibiting the most negative CCC due to upfront tuition payments. Additionally, the study finds a significant positive correlation between CCC and ROA, implying that firms with longer negative CCC values tend to achieve higher profitability. However, firm size, measured by total assets and sales, does not appear to influence CCC efficiency or profitability. These findings underscore the importance of industry-specific financial strategies and highlight the role of CCC optimization in enhancing financial performance. The study contributes to the literature on working capital management and provides practical implications for improving liquidity and profitability in service-oriented firms. Full article

This study investigates the potential contamination of cash register employees in the Slovak Republic with 148 selected pharmaceuticals, illicit drugs, and their metabolites. Of these, 42 substances were detected, and it was found that the target group—cashiers—regularly handle large volumes of banknotes, increasing their exposure to contaminants compared to the general population. This study revealed that commonly prescribed and over-the-counter medications significantly contribute to the contamination of cash registers. This study found that cashiers exhibited notably higher detection rates of antibiotics, including penicillin-V (2×), azithromycin (23×), and erythromycin (up to 64×), than the general population. Additionally, there was an alarming increase in illegal substances, with methamphetamine levels rising fivefold and cocaine up to fifteenfold. This study highlights a broader environmental concern, suggesting that routine handling of contaminated banknotes may lead to the transfer of micropollutants. Furthermore, personal hygiene practices, particularly handwashing, could play a role in introducing pharmaceuticals and narcotics into wastewater, potentially contributing several milligrams of contaminants daily. Full article

Despite the fact that a decade has elapsed since the establishment of the Eurasian Economic Union (EAEU), the impact of the EAEU on the economic development of its member states remains a subject of ongoing debate. This article examines the mutual trade in services between the Eurasian Economic Union (EAEU) countries, with the aim of assessing the impact of membership on it. The difference-in-difference model has been applied for impact assessment. The model utilizes data from five EAEU member countries—Armenia, Belarus, Kazakhstan, Kyrgyzstan, and Russia—capturing periods both before and after their EAEU membership, spanning 17 years in total. The results show that membership in the EAEU has significantly affected the exports of services from Russia and Belarus and has a less significant impact on the exports of services from Kazakhstan to the EAEU. At the same time, it has no significant effect on the exports of services from Kyrgyzstan and Armenia to other EAEU countries. In order to ascertain the challenges that exist, expert surveys among service exporters from Armenia have been conducted. Representatives of companies exporting various services to the EAEU have been selected as experts. The survey results indicate the presence of various barriers, including legal, logistical (for cargo transportation companies), and cultural challenges. These barriers encompass licensing difficulties, technical obstacles related to VAT refunds, a ban on cash payments, and difficulties with financial transfers due to sanctions against Russia. The findings of this research are of practical importance and can serve as a guideline for policymakers in the EAEU. Full article

Global and interconnected sustainability challenges require systems thinking and policy coherence to support bold and coordinated action. To chart a course for action, the UN Sustainable Development Goals (SDGs) provide a suite of targets across international and national levels. Here, we explore intentions and contributions over time of the Mexican multifaceted rural-development program Sembrando Vida (SV) to the SDGs, to assess its policy coherence for sustainable development, especially in relation to climate change. We reviewed online documents and newspaper articles, interviewed key SV staff and analyzed the Mexican President’s morning conference speeches. We show that multiplicity and adaptation of stated intentions suggest opportunistic forms of policy drift with limited policy coherence. The potential of the SV program remains promising, but it requires clearer objectives, coherent strategy, expert knowledge, community support and evaluation. These results demonstrate how political context can cause policy drift and negatively impact intended policy coherence for sustainable development. Full article

Concerns about global food insecurity have been growing, particularly in low- and middle-income countries. This study aimed to assess the determinants of food security among internally displaced persons (IDPs)—people who have been forced to flee their homes due to conflict, natural disasters, or other crises—and their children under five, as well as the influence on their nutritional status. Using random sampling, the caregivers of IDPs and children under five in households were included in the study. The caregivers were interviewed using a validated structured questionnaire, while nutritional assessments of both children and adults were conducted through anthropometric and clinical evaluation methods. The findings revealed a high prevalence of food insecurity, with 97.6% of IDP households experiencing some degree of insecurity. Additionally, 28.3% of the surveyed households had high dietary diversity. Among the children, 50.6% were stunted, over a third were underweight, and 15.8% were wasted, indicating severe nutritional deficiencies. Among adults, 28.4% were overweight or obese, while a significant number were underweight. Multiple linear regression analysis showed that the caregivers’ monthly salary and the average amount spent on food were associated with a decrease in food insecurity. Conversely, large household sizes and coping strategies employed to mitigate food insecurity were linked to increased food insecurity. In conclusion, the study highlights a high prevalence of food insecurity among IDP households, forcing families to adopt coping strategies, mainly through dietary modifications. This, in turn, contributes to low dietary diversity and poor nutritional status, with children suffering from underweight, wasting, and stunting. These findings underscore the urgent need for comprehensive interventions, including the distribution of food vouchers, cash transfers, food banks, and support for home gardening and small-scale farming, as well as education on meal rationing, meal planning, and family planning services. Addressing the root causes of food insecurity—namely low household income and large family sizes—can improve access to nutritious food and ensure the health and well-being of IDPs. Furthermore, addressing food insecurity within this vulnerable group is critical to the broader goals of planetary health, as it highlights the intersection of human health, social equity, and environmental sustainability. By promoting sustainable food systems and supporting vulnerable populations, these interventions can contribute to the resilience of both communities and eco-systems in the face of ongoing global challenges. Full article

This study aims to quantify the extent to which poor households receiving cash support from the Vision Umurenge Programme (VUP) allocate their income across major spending categories, mainly consumption, savings, household-level investment, and cash transfers for community participation. The analysis utilises a nationally representative panel dataset of 1642 respondents, collected between 2013 and 2017. A Maximum Likelihood Method (MLM) approach was employed to model four financial behaviours: (i) saving, (ii) consumption, (iii) investment, and (iv) social transfers as a proxy for community participation. The independent variables include the monetary benefits received by individuals over different periods, alongside demographic characteristics such as gender, age, education level, and area of residence (rural–urban), which were controlled in the analysis. The findings reveal a positive and statistically significant effect of the direct cash support provided by the VUP on increased consumption, and marginal effects on individual savings and investment behaviours. However, the data do not provide sufficient evidence to conclusively establish a relationship between participation in the VUP and cash transfers for community participation. The study recommends the intensification of efforts to engage in saving as way to build resilience, and further suggest a periodic increase in the VUP benefits’ size to cushion inflation effects. Full article

Introduction: A limited number of studies focus on estimating the costs of interventions to increase childhood immunization coverage in low- and middle-income countries (LMICs). Existing reviews often compare estimated costs but lack information on the methods used. The objective of this review is to summarize the methods used in costing studies that assessed interventions to reach zero-dose (ZD) children. Methods: We conducted a review of existing studies that estimate the costs of increasing childhood vaccination and reducing prevalence of ZD children in LMICs. We conducted searches of PubMed using terms including “immunization”, “cost”, “coverage increase”, “zero-dose”, and “LMIC”, and further extended our search to bibliographies and gray literature from organizations working to reach ZD children. We only included articles that estimated the cost of interventions to increase childhood vaccination and/or reach ZD children and not articles about introducing new vaccines or other age groups. We categorized each article according to their costing methods, cost components, types of costs calculated, and presence of uncertainty analysis. Results: Eleven articles met our inclusion criteria. Interventions costs varied from USD 0.08 per additional dose for SMS reminders in Kenya to USD 67 per dose for cash transfers in Nicaragua. Most of the studies were from South Asia: India (4), Pakistan (2), and Bangladesh (1). The rest were from Africa (3) and Latin America (1). Most articles did not include a description of their costing methods. Only three described their methods in detail. Conclusions: Few studies have estimated the costs of increasing childhood vaccination coverage and reducing the number of ZD children in LMICs. The wide variation in intervention costs underscores the need for standardized costing methodologies to enhance comparability across studies. Only three studies detailed their costing methods, making comparisons challenging. Establishing research principles for costing ZD interventions could strengthen future evidence for policymaking. Full article

Objectives: This study aimed to examine the effects of poverty on child well-being and family functioning among low-income families. Specifically, it explored the role of parental stress, family dynamics, and contextual strain on children’s behavioral and emotional outcomes. Using a sample of families receiving welfare support, the research sought to assess the impact of conditional cash transfer programs and the involvement of Child Protective Services on child development and family well-being. Methods: This cross-sectional study involved 99 children aged 8–12 from low-income, welfare-assisted families recruited from the Porto Metropolitan Area. Parental stress, parenting attitudes, family functioning, and child outcomes were assessed using standardized questionnaires. Families with and without Child Protective Services involvement were compared, and a cumulative index of contextual strain was developed to measure the multidimensional impact of stressors on child outcomes. Results: The results revealed that 53% of children exhibited clinical or borderline internalizing behaviors, 47% showed externalizing behaviors, and 39% experienced low psychological well-being. High levels of parental stress, low parenting competence, and significant contextual strain were associated with poorer child outcomes. Families involved with Child Protective Services showed no significant differences in parent or family characteristics, but children from these families exhibited fewer behavioral problems. Conclusions: The study highlights the pervasive impact of poverty and contextual strain on child development, emphasizing the need for more comprehensive interventions. Family functioning and parental stress are critical factors influencing child well-being, pointing to the importance of addressing these areas through targeted welfare and support programs to reduce the intergenerational transmission of poverty and improve child outcomes. Full article

The purpose of this paper is to apply Bronfenbrenner’s ecological systems theory to explore the literature on how Conditional Cash Transfer (CCT) and Unconditional Cash Transfer (UCT) programs might support positive mental health outcomes. The paper begins with transnational considerations of stress, such as poverty and COVID-19, and their impact on mental health. Bronfenbrenner’s theory is applied to better understand the mechanisms by which CCT and UCT programs can potentially lead to positive outcomes for children and families who face such stressors. The implications of cash transfer programs are subsequently discussed in terms of how they might promote positive mental health outcomes among families globally. This theoretical application paper concludes with a call for transnational research to explore connections between cash transfer programs and mental health outcomes for children/adolescents and their parents/caregivers. Full article

This article presents the modeling of a solar photovoltaic system connected to the grid in rural low-income communities living in the semiarid region of Brazil. The model is based on the premise that enough electrical energy will be generated locally to meet the household demand for electricity and to produce a surplus that can be sold on the grid. The main idea is that the sun, usually associated with severe droughts in the Brazilian semiarid region, can be transformed into social income while fostering energy autonomy. To model the system, the computational tools Photovoltaic Software (PVSyst7.3.1) and System Advisor Model (SAM) were used. Several configurations (cases) of systems were analyzed and associated with the evaluation of three commercial electricity scenarios, considering the local electricity rate (USD/kWh). A case study was conducted in the rural settlement of Jacaré-Curituba in the Brazilian semiarid region, where different estimated sale prices for the energy surplus were compared with traditional monthly cash transfers to poor families from the social welfare program “Bolsa Família”. The results indicate the viability of this model as an income alternative for low-income communities. Full article

In the past two decades, a significant surge in interest in investigating mental disorders and challenges faced by low- and middle-income countries in the realm of mental health has been observed. Various types of universal basic income (UBI) programs have already demonstrated significant impacts on individuals’ mental health in high-income countries. Therefore, this review focuses on the situation in low- and middle-income countries. A literature review was conducted using seven electronic databases. Empirical studies of any design that implemented different types of UBI interventions in middle- and low-income countries and applied any type of mental health measures were searched for. After systematically reviewing 6822 articles, 13 empirical studies examining the relationship between various types of UBI interventions and different aspects of mental health in developing countries were identified. The collective findings of the studies suggest that UBI programs have significant positive effects on the mental health of individuals from developing countries, with the potential mediating role of unconditionality and payment frequency being noteworthy. However, these implications are limited due to the small number of studies conducted in this area and their methodological constraints. Further research with rigorous design is needed, particularly focusing on experimental control and length of follow-up periods. Full article

Background/Objectives: Digital parenting programs using smartphone apps can support families in positive parenting and require evaluations of their effects, mainly in low- and middle-income countries with caregivers experiencing psychosocial vulnerabilities. The study evaluated the “Born Learning” digital parenting program on improving parenting practices, child prosocial behavior, and reducing the children’s externalizing behavior problems. Additionally, participants’ satisfaction and engagement with the program were evaluated. Methods: Brazilian primary caregivers of 3- to 6-year-old children totaling 91, participated in the “Born Learning” program and pre-, post-intervention, and five-month follow-up evaluations. Results: Most participants received cash transfers (64%) and reported some level of food insecurity (78%). The parenting coercive practices decreased from pre- to post-intervention, with maintenance in follow-up. Satisfaction with the role of parenting increased, and child conduct behavior problems decreased from pre-intervention to follow-up. Most participants found the program content very interesting and engaged adequately with the program strategies, such as messages and videos. Conclusions: The digital parenting program can support caregivers by enhancing parenting and decreasing child behavior problems, highlighting the potential for broader implementation in similar contexts. Full article

Background: The purpose of this paper is to address how to handle uncertainty when performing an economic valuation of a medical innovation R&D project in orphan diseases from the perspective of the investor. Methods: We describe the specific uncertainty related to cash flows and the cost of capital for innovation in orphan diseases. The uncertainty in cash flows relates to sales, manufacturing and R&D costs, and probabilities of failure for each phase in the clinical trial program. We consider different net present values (NPVs) and higher standard deviations for orphan drugs compared to non-orphan drugs. Results: Numerical case base examples showed the differences in trade-off by an investor for R&D projects with differences in NPV and level of uncertainty. The investor will transfer the additional uncertainty in cash flows in a higher cost of capital. An alternative approach is the application of an “acceptability curve” based on a probabilistic sensitivity analysis, which displays the cumulative probabilities at a range of different values for the NPV. Finally, we consider uncertainty in the cost of capital itself by applying the Capital Asset Pricing Model (CAPM). Conclusions: In this paper, we described various types of uncertainty and explored various approaches to how to handle uncertainty in the economic valuation of medical innovation in orphan diseases. The bridging of health economics with economic valuation theory in the healthcare market is to our knowledge a novel approach for the valuation of medical innovation by investors. Full article