Search Results (88)

Energy poverty, resulting from poor energy efficiency and economic and social barriers to accessing appropriate, modern, and sustainable energy services, remains a critical issue in Jordan, a country facing growing climate pressures, particularly given its history of rapid urbanization. This study examines energy poverty through a multidimensional lens, considering its spatial and socio-demographic variations across Jordan. Drawing on data from 19,475 households, we apply a novel energy poverty index and binary logistic regression to analyze key determinants of energy poverty and discuss their intersection with climate vulnerability. The energy poverty index (EPI) is structured around four pillars: housing, fuel, cooling, and wealth. The results show that 51% of households in Jordan are affected by energy poverty. Contributing factors include geographic location, gender, age, education level, dwelling type, ownership of cooling appliances, and financial stability. The results indicate that energy poverty is both a socio-economic and infrastructural issue, with the highest concentrations in the northern and southern regions of the country, areas also vulnerable to climate risks such as drought and extreme heat. Our findings emphasize the need for integrated policy approaches that simultaneously address income inequality, infrastructure deficits, and environmental stressors. Targeted strategies are needed to align social and climate policies for effective energy poverty mitigation and climate resilience planning in Jordan. Full article

Livelihood diversification for traditional villages is essential to reducing poverty, addressing rural hollowing, and achieving the Sustainable Development Goals (SDGs). Shanxi Province—with its wealth of ancient villages, diverse cultural heritage, and unique landscapes—serves as a critical case for analyzing livelihood strategies. This research proposes a framework for livelihood diversification in Shanxi Province’s 619 traditional villages. Firstly, we constructed an indicator system to measure livelihood assets, including ecological stability, economic feasibility, land productivity, cultural inheritance, and social service capacity. Then, the trade-offs and synergies between each pair of assets are explored based on the correlation tests and the Geographically Weighted Regression (GWR) model. Finally, the Self-Organizing Map (SOM) model is employed to cluster the dominant livelihood assets of the sample villages. The results indicated that (1) the current sustainable livelihood levels of traditional villages in Shanxi Province exhibit spatial differentiation and imbalance. (2) The analysis confirms significant synergy between cultural inheritance, social service capacity, and economic feasibility, suggesting that appropriate protection and enhancement of local culture positively correlates with sustainable economic and social development in the villages. (3) Utilizing the SOM clustering model, six distinct types of sustainable livelihood strategies for traditional villages in Shanxi Province were successfully identified. Furthermore, a county-scale “multi-livelihood zoning” strategy has been proposed. The findings of this research can serve as a valuable reference for strategic planning and the implementation of rural revitalization. Full article

Background: The link between chronic non-communicable diseases (NCDs) and poverty in underdeveloped countries is debated. This study aims to examine socioeconomic inequalities related to NCDs and assess the contributing factors to these disparities. Methods: The study utilized data from the National Health Services Survey in Shaanxi Province for 2003, 2008, and 2013, having 71,766 respondents. The concentration index (CI) was employed to rigorously quantify the degree of socioeconomic inequality in the prevalence of non-communicable diseases (NCDs). The CI decomposition identified the contribution of each variable, while the horizontal inequity (HI) index was calculated annually to assess changes in inequality. Additionally, a Probit model was employed to examine the significant determinants contributing to the occurrence of NCDs. Results: The results show a significant increase in NCD prevalence with age, particularly for individuals aged 60 and above, who experienced a 286.55% rise from 2003 to 2013. Higher education levels are associated with decreased NCD prevalence, as evidenced by a 74.13% reduction for those with high school education or above. Additionally, wealthier individuals had a 15.31% lower prevalence of NCDs, indicating that higher socioeconomic status correlates with a reduced likelihood of chronic diseases. Conclusions: The study finds that NCD prevalence significantly increases with age, while higher education levels and greater wealth are associated with reduced prevalence. These findings highlight the need to target older populations and lower socioeconomic groups for effective NCD prevention and management. Policies should focus on improving educational opportunities and socioeconomic conditions to reduce the burden of NCDs, particularly among older and economically disadvantaged groups. Full article

Poverty is a reality worldwide, impacting individuals, communities, and systems. However, poverty is by no means a simplistic concept and its complexity therefore needs to be highlighted as it varies from continent to continent. The Church and pastoral theology can contribute to constructively addressing poverty and the need to develop a theological understanding of poverty. In endeavoring to engage with this reality, this contribution attempts to argue that constructive dialogue creates opportunities for pastoral theology and the Church to change the conditions of the poor. It will also indicate how the Dialogical Intergenerational Pastoral Process (DIPP) as a pastoral approach to poverty, vulnerability, and vulnerance can be relevant to addressing poverty. The aim is further that this contribution will create opportunities for the poor to change pastoral theology and the Church. Full article

In continuity with the research on social segregation and the phenomenon of urban gentrification, this article examines the cohabitation patterns of populations with diametrically opposed incomes within the same neighborhood, typically observed in the city center. This phenomenon is defined here as internal socio-economic polarization. It is measured through the combination of two original indexes (poverty and wealth indexes) constructed based on income deciles per consumption unit for the year of 2017. The analysis focuses on the municipality of Nice, characterized by a low demographic dynamic, a relative concentration of seniors, and a strong tourist attractiveness, particularly in the highly polarized neighborhoods that occupy almost the entire city center. This study is complemented by a principal component analysis summarizing the characteristics of the population and housing stock in the neighborhoods of Nice. The main objective of this research is to identify and locate polarized neighborhoods within the urban context of Nice, to analyze the distinctive traits of their population and housing stock, and, finally, to highlight potential trends in the population’s socio-economic status. Moreover, the economic trajectories of polarized neighborhoods, in connection with their population and housing characteristics (such as the secondary use of a portion of the housing stock, often low-quality old buildings, social housing, and the overrepresentation of retirees), help explain the forms of socio-economic polarization observed in these neighborhoods (such as the indications of gentrification, unfinished gentrification, and sustainable cohabitation). Full article

Access to clean and safe drinking water is a fundamental human right. Despite global efforts, including the UN’s “Water for Life” program, a significant portion of the population in developing countries, including Somaliland, continues to rely on unimproved water sources. These unimproved sources contribute to poor health outcomes, particularly for children. This study aimed to investigate the factors associated with the use of unimproved drinking water sources in Somaliland by employing supervised machine learning models to predict patterns and determinants based on data from the 2020 Somaliland Demographic and Health Survey (SHDS). Secondary data from SHDS 2020 were used, encompassing 8384 households across Somaliland. A multilevel logistic regression model was applied to analyze the individual- and community-level factors influencing the use of unimproved water sources. In addition, machine learning models, including logistic regression, decision tree, random forest, support vector machine (SVM), and K-nearest neighbor (KNN), were compared in terms of accuracy, sensitivity, specificity, and other metrics using cross-validation techniques. This study uses supervised machine learning models to analyze unimproved drinking water sources in Somaliland, providing data-driven insights into the complex determinants of water access. This enhances predictive accuracy and informs targeted interventions, offering a robust framework for addressing water-related public health issues in Somaliland. The analysis identified key determinants of unimproved water source usage, including socioeconomic status, education, region, and household characteristics. The random forest model performed the best with an accuracy of 93.57% and an area under the curve (AUC) score of 98%. Decision tree and KNN also exhibited strong performance, while SVM had the lowest predictive accuracy. This study highlights the role of socioeconomic and community factors in determining access to clean drinking water in Somali Land. Factors such as age, education, gender, household wealth, media access, urban or rural residence, poverty level, and literacy level significantly influenced access. Local policies and resource availability also contribute to variations in access. These findings suggest that targeted interventions aimed at improving education, infrastructure, and community water management practices can significantly reduce reliance on unimproved water sources and improve the overall public health. Full article

Greenflation or inflation for green energy transition in Europe becomes a structural problem of new scarcity and poverty, under Austrian Economics analysis. The current European public agenda on the Green Deal and its fiscal and monetary policies are closer to coercive central planning, against the markets, economic calculus, and Mises’ theorem. In this paper, attention is paid to the green financial bubble and the European greenflation paradox: in order to achieve greater future social welfare, due to a looming climate risk, present wellbeing and wealth is being reduced, causing a real and ongoing risk of social impoverishment (to promote the SGD 13 on climate action, it is violated by SGD 1–3 on poverty and hunger and 7–12 on affordable energy, economic growth, sustainable communities, and production). According to the European Union data, the relations are explained between green transition and public policies (emissions, tax, debt, credit boom, etc.), GDP variations (real–nominal), and the increase of inflation and poverty. As many emissions are reduced, there is a decrease of GDP (once deflated) and GDP per capita, evidencing social deflation, which in turn means more widespread poverty and a reduction of the middle-class. Also, there is a risk of a green-bubble, as in the Great Recession of 2008 (but this time supported by the European Union) and possible stagflation (close to the 1970s). To analyze this problem generated by mainstream economics (econometric and normative interventionism), this research offers theoretical and methodological frameworks of mainline economics (positive explanations based on principles and empirical illustrations for complex social phenomena), especially the Austrian Economics and the New-Institutional Schools (Law and Economics, Public Choice, and Comparative Constitutional Economics). Full article

For people from communities experiencing poverty and oppression, education, particularly higher education, is a means to ensure upward socioeconomic mobility. The access to and attainment of education are issues of social and economic justice, built upon foundational experiences in primary and secondary settings, and impacted by students’ cultural and socio-political environments. 6. The 2020 murder of George Floyd, the Black Lives Matter movement, ongoing discourse around immigration, and COVID-19-related hate targeting people of Asian American descent prompted national calls to dismantle social and systemic racism, spurring diversity, equity, inclusion, and accessibility (DEIA) initiatives, particularly in education. However, these efforts have faced opposition from teachers who have told students that all lives matter, and racism does not exist in many American classrooms Loza. These comments negate students’ experiences, suppress cultural and identity affirmation, and negatively impact student wellness and academic performance. Forged in this polarized environment, two longtime community organizers and educators, an indigenous person living away from her ancestral lands and a multiracial descendant of Japanese Americans interned during WWII, whose identities, experiences, and personal narratives shape the course of their work in and outside of the physical classroom, call on fellow educators to exercise y (2018) component of the archeology of self, a “profound love, a deep, ethical commitment to caring for the communities where one works”, by adopting a framework to encourage this profound love in students, acting not just as a teacher, but as a sensei. The word sensei is commonly understood in reference to a teacher of Japanese martial arts. The honorific sensei, however, in kanji means one who comes before, implying intergenerational connection. Sensei is an umbrella expression used for elders who have attained a level of mastery within their respective crafts—doctors, teachers, politicians, and spiritual leaders may all earn the title of sensei. The sensei preserves funds of knowledge across generations, passing down and building upon knowledge from those who came before. The Student Empowerment through Narrative, Storytelling, Engagement, and Identity (SENSEI) framework provides an asset-based, culturally affirming approach to working with students in and beyond the classroom. The framework builds on tools and perspectives, including Asset-based Community Development (ABCD), the Narrative Theory, Yosso’s cultural community wealth, cultural continuity, thrivance, community organizing tenets, and storytelling SENSEI provides a pedagogy that encourages students to explore, define, and own their identities and experiences and grow funds of knowledge, empowering them to transform their own communities from within. The SENSEI framework begins by redefining a teacher as not simply one who teaches in a classroom but rather one who teaches valuable life lessons that transcend colonial conceptualizations of the teacher. In colonized contexts, teachers function to maintain hegemony and assert dominance over marginalized populations. In the SENSEI framework, teachers are those who disrupt colonial patterns and function to reclaim the strengths and voices of the communities they serve. In the SENSEI framework, students are not relegated to those enrolled in classrooms. As with a sensei, a student exists to counter hegemony by embracing and enacting their cultural wealth Educators must help counter harmful narratives and encourage students to identify the strengths that lie within themselves and their communities. Collective forms of narrative that value identity can ensure the continuity of a community or a people. The stories of students’ histories, traditional practices, and resilience can help disrupt harms, many that have lasted for generations, so they may not just survive, but thrive. Full article

With the global energy crisis and the decline of fossil fuel resources, biofuels are gaining attention as alternative energy sources. China, as a major developing country, has long depended on coal and is now looking to biofuels to diversify its energy structure and ensure sustainable development. However, due to its large population and limited arable land, it cannot widely use corn or sugarcane as raw materials for bioenergy. Instead, the Chinese government encourages the planting of non-food crops on marginal lands to safeguard food security and support the biofuel sector. The Southern China Karst Region, with its typical karst landscape and fragile ecological environment, offers a wealth of potential marginal land resources that are suitable for planting non-food energy crops. This area is also one of the most impoverished rural regions in China, confronting a variety of challenges, such as harsh natural conditions, scarcity of land, and ecological deterioration. Idesia polycarpa, as a fast-growing tree species that is drought-tolerant and can thrive in poor soil, is well adapted to the karst region and has important value for ecological restoration and biodiesel production. By integrating 19 bioclimatic variables and karst landform data, our analysis reveals that the Maximum Entropy (MaxEnt) model surpasses the Random Forest (RF) model in predictive accuracy for Idesia polycarpa’s distribution. The karst areas of Sichuan, Chongqing, Hubei, Hunan, and Guizhou provinces are identified as highly suitable for the species, aligning with regions of ecological vulnerability and poverty. This research provides critical insights into the strategic cultivation of Idesia polycarpa, contributing to ecological restoration, local economic development, and the advancement of China’s biofuel industry. Full article

Despite a remarkable reduction in global poverty and famines, substantial childhood malnutrition continues to persist. In 2017, over 50 million and 150 million young children suffered from acute malnutrition (wasting) and chronic malnutrition (stunting), respectively. Yet, the measurable impact of determinants is obscure. We evaluate proposed socio-environmental related determinants of stunting and wasting across Kenya and Nigeria and quantify their effectiveness. We combine health and demographic data from Kenya and Nigeria Demographic Health Surveys (2003, 2008–2009, 2013, 2014) with spatially explicit precipitation, temperature, and vegetation data. Geospatial and disaggregated data help to understand better who is at risk and where to target mitigation efforts. We evaluate the responsiveness of malnutrition indicators using a four-level random intercept hierarchical generalized logit model. We find that spatial and hierarchical relationships explain 28% to 36% of malnutrition outcome variation. Temporal variation in precipitation, temperature, and vegetation corresponds with more than a 50% change in malnutrition rates. Wasting is most impacted by mother’s education, family wealth, clinical delivery, and vaccinations. Stunting is most impacted by family wealth, mother’s education, clinical delivery, vaccinations, and children asymptomatic of fever, cough, or diarrhea. Remotely monitored climatic variables are powerful determinants, however, their effects are inconsistent across different indicators and locations. Full article

Can the backward endowments of rural areas support digital village construction to attain the expected results? If the answer is yes, what are the mechanisms involved? Answering these questions is related to common prosperity. Counties are China’s frontline commanders, and the urban–rural income gap is a suitable entry point for observing the urban–rural digital divide; however, there is limited research assessing the effectiveness of digital village construction from the perspective of the urban–rural income gap at the county level. In addition, counties lifted out of poverty, as counties with worse initial endowments and as counties that should be most concerned with common wealth, are more typical for examining the effectiveness of digital rural construction; however, there are few studies on counties lifted out of poverty. Based on cross-sectional data from 865 counties in China in 2020, this study empirically analyzes the impact of digital village construction on the urban–rural income gap using an OLS model. This study also conducts mechanism tests and poverty benefit tests in addition to heterogeneity and robustness tests. The findings indicate that the development of digital villages lowers the income difference between urban and rural areas, and that the shift in the industrial structure is a key driver of this effect. Different construction dimensions have varying degrees of impact, with digital infrastructure and the digitalization of the economy having the most significant impact, the digitalization of countryside governance coming second, and the digitalization of countryside life having the most negligible impact. The impact is more pronounced in the central-eastern region of China and counties that have just been lifted out of poverty than in the western region and counties that have never been in poverty. The government will benefit greatly from this study’s understanding of the main themes, areas, and scope of digital rural construction, which will help to expand and further integrate the outcomes of reducing poverty and fostering shared prosperity. Full article

This review aims to analyze the current literature to identify articles related to the role of nurses and, in general, the nursing management of patients suffering from medication overuse headache (MOH), a globally spread disease. We specifically argue for non-pharmacological approaches to pain management, such as multidisciplinary team approaches, holistic treatment, cognitive behavioral therapy and exercise. For this review, we investigated international scientific databases, including PubMed, CINAHL, Scopus and Embase, in the period between 2000 and 2024. We observed a wealth of scientific articles related to MOH, but a poverty of articles relating to the nursing management of headache. The research included the presence of academic-level training for nurses, whereas there are few institutions that train competent professionals in both pharmacological and non-pharmacological management of MOH patients. Nursing assessment and assistance strategies are indicated to plan tailored treatment paths related to the specific needs of these patients. Full article

This essay considers what conclusions may be drawn concerning the socio-economic situation of the Philippian community from Paul’s response to the Philippians’ gift in Phil 4:10–20. It contributes to the recent discussions of the socio-economic situation of the Pauline communities, as well as to the current understanding of the possibilities, challenges, and limitations of a social-scientific interpretation of this letter. Phil 4:10–20 includes several potential hints about the Philippians’ socio-economic situation. These could indicate that their situation is quite precarious under shifting economic circumstances. Immediately after Paul founded the community, the Philippians supported him twice (4:15f). Afterward, however, they did not have the opportunity to do so, although they kept it in mind (4:10: ἐφ’ ᾧ καὶ ἐφρονεῖτε, ἠκαιρεῖσθε δέ). Eventually, they were able to send another, apparently large, gift to the imprisoned apostle (4:18). As a part of his response to this gift, Paul explicates his self-sufficient lifestyle (4:11–13), possibly as an example for the Philippians. He also promises them that God will satisfy all their needs (4:19), which may be understood as a consolation in view of socio-economic distress. This study reconsiders the potential socio-scientific interpretations of these hints. It explores to what extent they (even collectively) may shed light on the socio-economic situation of the Philippian community. In doing so, it also points out the uncertainties and challenges such an interpretation must address. It thus shows how the scope of social-scientific interpretation, at least in this case, is limited. Full article

Violence has immediate and long-term repercussions for the health of individuals and communities. Recent increases in the understanding of public health approaches to violence prevention have focused on the policies and practices of government, health, and other public sector agencies. However, the roles of commercial bodies in fostering and preventing violence remain largely unaddressed. The wealth and influence of some companies now exceeds that of many countries. Consequently, it is timely to explore the roles of commercial processes in violence. Using a conceptual framework for the commercial determinants of health, we examine seven practices: political; scientific; marketing; supply chain and waste; labor and employment; financial; and reputational management. We include areas directly linked with violence (e.g., firearms) and those that indirectly impact violence through the following: design and promotion of products; employment practices; and impacts on environment, poverty, and local resources. A range of avoidable commercial behaviors are found to increase levels of violence including the following: lobbying practices; distortion of scientific processes; polluting manufacture and supply lines; poor employee protections; financial investment in organizations and regimes associated with violence; and misleading communications and marketing. We conclude commercial actors can take action to ensure their workers, clients, suppliers, and distributors help prevent, not promote, violence. New technologies such as artificial intelligence are transforming corporate processes and products and offer opportunities to implement violence prevention through commercial developments (e.g., monitoring online content). International regulation of commercial behaviors is needed to prevent interpersonal and interstate conflict and harms to health and trade. Full article

This study explores the role of digital financial inclusion in mitigating poverty and bolstering economic growth, with a special focus on developing nations during the COVID-19 era. Centering on Jordan, it seeks to identify key influencers of financial access by analyzing data from 260 participants using a non-linear probit regression model. The research uncovers a significant disparity in financial inclusion between Jordanian adult males and females, attributable to differences in education, wealth, employment, and income levels. These findings point to the necessity of prioritizing financial accessibility for marginalized groups such as women, the elderly, and those with lower income to effectively combat poverty and facilitate economic advancement and sustainable development in emerging markets. Full article