Search Results (732)

This paper examines the impact of industrial energy efficiency on household energy poverty in the twenty-seven Member States of the European Union for the period 2003–2023. Although the literature has widely discussed energy efficiency as an enabler of decarbonisation and economic performance, its direct link to energy poverty at the macro level has rarely been analysed, let alone with respect to structural changes in industry. Filling this gap, this paper evaluates whether reductions in industrial energy intensity result in reduced energy poverty, understood as the share of households unable to maintain adequate indoor thermal comfort. Empirical analysis relies on a balanced panel dataset and uses fixed-effects regression models to take into account unobserved country-specific and time-specific heterogeneity. In addition, potential endogeneity between industrial energy intensity and labour productivity is addressed by the instrumental variable approach using two-stage least squares. The main models also include key macroeconomic and social control variables: real GDP per capita, social benefit expenditure, electricity prices for households, and unit labour costs. The results yield a robust and statistically significant positive link between industrial energy intensity and energy poverty, suggesting that efficiency improvements in industry make a quantifiable difference in household energy deprivation. This effect even increases in strength after the correction for endogeneity, thereby corroborating the causal relevance of productivity-driven efficiency gains. The findings also show substantial heterogeneity between EU Member States, indicating that national structural features will determine baseline levels of energy poverty. However, no strong evidence is found for an indirect price-mediated transmission mechanism or for moderation effects bound to income levels or social expenditure. This study provides sound empirical evidence that industrial energy efficiency is an important but structurally conditioned lever to alleviate energy poverty in the European Union. The results emphasise the integration of industrial efficiency policies with social and institutional frameworks while designing strategies for a just and inclusive energy transition. Full article

Significant rural transformation has occurred in China’s formerly impoverished areas due to targeted poverty alleviation and rural revitalization strategies. In these areas, the coordinated development of the economic and ecological values of cultivated land resources is essential for rural transformation. This study focuses on the Liupan Mountain area, a typical poverty alleviation demonstration zone and Ecological and economic fragile area in Northwestern China. By collecting statistical yearbook data and raster data, it establishes a valuation system for cultivated land resources, transforming these resources into quantifiable poverty alleviation capital. This approach provides support for the long–term consolidation of targeted poverty alleviation policies. By integrating the Production Possibility Frontier (PPF) method with GIS spatial analysis, we developed a workflow to analyze value correlations and spatial patterns. The results showed the following: (1) While ecological values grew steadily from 2007 to 2022, economic value increased initially and then decreased, with both exhibiting significant spatial heterogeneity. (2) The relationship between economic value and ecological value evolved into a continuously strengthening synergy. (3) The integration of PPF curves with GIS visualization technology enabled the identification of underutilized, overutilized, and optimally utilized areas, revealing a distinct “π–shaped” overutilization zone. This study elucidates the trade–offs, synergies, and spatial characteristics of cultivated land values, providing critical insights for sustainable land resource management in post–poverty transformation areas. Full article

Period poverty refers to the lack of access to or affordability of menstrual hygiene supplies such as sanitary products and the inaccessibility of washing facilities, waste disposal and educational materials. Period poverty can significantly affect menstruating individuals’ physical, mental, and reproductive health and emotional wellbeing; negatively impact educational outcomes; cause financial strain; result in absenteeism from work and school; create barriers to healthcare access; and perpetuate poor health outcomes for generations. Barriers to menstrual equity include lack of access to period support, cost, poor sanitary facilities, lack of education, social and cultural stigma, and legal restrictions. Therefore, it is crucial to actively advocate for initiatives to increase access to menstrual hygiene products, raise public awareness, and educate individuals on safe menstrual practices. Approximately 500 million girls and women worldwide and an estimated 16.9 million people in the United States experience period poverty, with the issue being particularly common among marginalized groups such as Black or Hispanic menstruating individuals and those who are homeless, living in poverty, of low income, or attending college. This article investigates the physical, psychological, educational and social impacts of inequitable access to menstrual products, menstrual education, and sanitation facilities among menstruating individuals who are Black, Hispanic or of low income within the United States. We examine the threat this poses to health equity and propose recommendations to address this pervasive issue. Full article

The precise identification of energy poor households is a critical step towards achieving the United Nations Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy) and SDG 1 (No Poverty), while also intersecting with climate action (SDG 13). As the world’s largest developing country, China faces unique energy poverty challenges characterized by significant regional disparities and uneven access to modern energy services. To support targeted interventions and equitable policy-making, this study proposes an explainable artificial intelligence (XAI) framework for predicting and interpreting energy poverty. Utilizing nationally representative data from the China Family Panel Studies (CFPS) from 2014 to 2020, we developed a predictive model that integrates a Convolutional Neural Network with SHapley Additive exPlanations (SHAP). Our model, EPPE-FCS, demonstrated exceptional predictive performance, achieving an average accuracy of 98.23%, outperforming several mainstream benchmarks. Crucially, the SHAP interpretability analysis revealed that annual per capita household expenditure is the most influential driver, while the contribution of energy burden indicators (electricity and gas expenses) exhibited a significant decreasing trend. This trend likely reflects the positive impact of China’s national policies, such as the “Clean Heating Initiative” and “Targeted Poverty Alleviation,” on improving energy infrastructure and affordability. The findings underscore the necessity of a dual-track policy that combines immediate energy cost subsidies with long-term strategies for income enhancement and clean energy transition. This research provides policymakers with a robust tool to alleviate energy poverty, thereby advancing a just, sustainable, and climate-resilient energy future in China and other developing regions. Full article

This study aims to analyze the effect of remittances on multidimensional poverty in Mexico by comparing them with other sources of household income, such as labor income and social spending from transfers, subsidies, and allocations. Furthermore, economic growth dynamism is incorporated as a control variable. A micro-panel with cross-sectional and temporal fixed effects covering the 32 federative entities from 2010 to 2024 is used for this purpose. The results reveal that, although remittances have a moderate alleviating effect on poverty, it is greater than the impact of social spending by state governments. In contrast, labor income is identified as the main factor in reducing multidimensional poverty. These findings underscore the importance of promoting the utilization of remittance flows through financial inclusion strategies to strengthen their contribution to sustained household well-being and consolidate them as a structural instrument against the persistent challenges of multidimensional poverty in Mexico. Full article

Implementing natural resource protection systems and improving regional water resource utilization efficiency are effective ways to resolve the contradiction between economic development and water resource poverty. To this end, this paper establishes a Difference-in-Difference (DID) model to analyze the impact of water rights trading pilot policies (WET) in 271 prefecture-level cities in China from 2006 to 2023 on water resource utilization efficiency (WEE). The research results indicate that (1) WET significantly improved WEE, while confirming the robustness of this effect; (2) WET exhibit significant heterogeneity in their policy effects on WEE, reflecting pronounced differences between northern and southern cities in terms of geographical location and water resource endowment. In cities with abundant water resources, this promotional effect is even more pronounced; (3) market vitality and water conservation benefits can positively promote the impact of WET through regulatory mechanisms. Based on this, expanding the pilot cities for water rights trading policies and enhancing market vitality can effectively improve WEE and alleviate the current situation of water resource poverty in the region. Full article

Enhancing farmers’ livelihood resilience is a cornerstone of sustainable rural development and poverty alleviation consolidation in developing countries. While tourism has emerged as a prominent rural revitalization strategy, the mediating role of tourism-induced land use transitions in building resilience—and the underlying spatial mechanisms through which these transformations operate—remains inadequately understood. This study integrates Henri Lefebvre’s spatial production theory with land systems analysis to examine how tourism-driven land use transitions influence farmers’ livelihood resilience in rural China. Using provincial panel data and three waves (2018, 2020, 2022) of nationally representative household survey data from the China Family Panel Studies (CFPS), we construct a comprehensive tourism development index emphasizing land transformation dimensions and employ panel regression models with instrumental variables and threshold analysis. The findings reveal that tourism-induced land use transitions significantly enhance farmers’ livelihood resilience through three distinct spatial mechanisms: land-based rural infrastructure investment, industrial land structure rationalization, and cultural facility land development. Importantly, this relationship exhibits a double-threshold effect with diminishing marginal returns, and the positive impact is substantially stronger in heritage-rich regions with comparative policy advantages. By establishing land use transitions as a critical spatial production pathway linking tourism to sustainable livelihood outcomes, this study advances land systems science, offering a novel theoretical framework for integrating people–nature interactions in heritage-rich rural areas and practical guidance for strategic land use planning in support of the Sustainable Development Goals (SDGs). Full article

In the fight against growing energy poverty in Europe, remote and rural areas are most affected but play a crucial role in promoting a fair and sustainable transition. Furthermore, energy communities have been recognized as cost-efficient options and opportunities to enhance the active participation of citizens in electricity markets. Despite the wide recognition of their potential in alleviating energy poverty, evidence is still limited. This paper investigates the ‘missing links’ in producing clean energy through community-based practices in remote areas. This study presents a literature review aimed at identifying case studies at the European level to build a knowledge base on the state of the art in the context of the Green Deal. Of the 4422 publications found, we identified and analyzed 266 publications with one or more European cases. Of these, only 67 publications used keywords relevant to our research objective, which we further explored and categorized according to the primary purpose of the study, i.e., assessment, barriers and gaps, implementation, management and planning, modeling, and public opinion. Our results show that publications serve mainly to test a methodology for potential use and not to recount an experience, lacking practical application and policy integration. Nevertheless, we noticed a tendency to activate citizen engagement forms or gather perceptions to increase social acceptability. Full article

Social assistance is one of the primary programs organized in developing countries in a bid to reduce poverty. In Indonesia, the government has allocated IDR 152 trillion toward poverty alleviation. However, the persistent misuse of social assistance funds has unfolded to be a serious concern. According to the Ombudsman of Indonesia, approximately 81.37% of the 1004 complaints received between 29 April and 29 May 2020 were related to the misuse and misallocation of COVID-19 social assistance funds. Therefore, this study aims to comprehensively describe the legal enforcement model for preventing the misuse of social assistance funds and to identify the challenges faced by law enforcement from the perspective of legal sociology. In order to achieve the stated objectives, a qualitative approach grounded in legal sociology was adopted, utilizing empirical study methods. Data were collected through in-depth interviews with academics specializing in administrative law and public policy, as well as through an extensive review of the relevant literature. Subsequently, the gathered data were analyzed qualitatively using a descriptive approach. The obtained results showed that the key challenges in preventing the misuse of social assistance funds include weak regulatory frameworks, limited competency among law enforcement officials, and inadequate institutional infrastructure. Cultural factors were also found to play a significant role in influencing the effectiveness of law enforcement. Based on these insights, preventive measures were inferred to be essential and should focus specifically on strengthening the legal structure and utilizing technological tools to enhance transparency and monitoring. Accordingly, the substance of social assistance laws must be revised to include more detailed and specific provisions, while repressive measures should impose stricter sanctions on individuals who engage in misuse. Fostering a shift in the legal culture of society was also considered very important. These combined efforts are expected to reduce the misuse of social assistance funds, improve legal enforcement effectiveness, and essentially contribute to poverty reduction in Indonesia. Full article

Against the backdrop of the rapid development of digital technologies, such as mobile internet, big data, and cloud computing, the geographical agglomeration of industries is gradually shifting toward virtual agglomeration. In this paper, we examine the effect of both geographical and virtual agglomeration of the agricultural industry on farmers’ agricultural income, and we focus on the transmission mechanism of technological innovation in this process. In the empirical section, using the citrus industry as an example, we employed a moderated mediation effect model for verification and derived the following conclusions: (1) Both geographical and virtual agglomeration of the agricultural industry promote an increase in farmers’ agricultural income by enhancing technological innovation, respectively. (2) Virtual agglomeration of the agricultural industry has a negative moderating effect on the relationship between geographical agglomeration and farmers’ agricultural income, that is, virtual agglomeration alleviates the “crowding effect” and to some extent substitutes for geographical agglomeration. (3) In the mechanism where geographical agglomeration in the agricultural industry increases farmers’ agricultural income through technological innovation, virtual agglomeration has a positive moderating effect. This paper is important for enabling farmers to share the benefits of the digital economy and achieve continuous growth in agricultural income. It is also important for the sustainable development goals adopted by the United Nations, such as eliminating poverty (SDG1), eliminating hunger (SDG2), promoting sustainable economic growth and full employment (SDG8), and promoting innovation (SDG9). Full article

Artificial Intelligence (AI) is increasingly framed as a driver of economic transformation, yet its capacity to alleviate poverty in the Global South remains contested. This article introduces the notion of AI Economics—the political economy of value creation, extraction, and redistribution in AI systems—to interrogate h ow innovation agendas intersect with structural inequalities. This article examines how Social Innovation (SI) systems, when coupled with decentralized Web3 technologies such as blockchain, Decentralized Autonomous Organizations (DAOs), and data cooperatives, may challenge data monopolies, redistribute economic gains, and support inclusive development. Drawing on Action Research (AR) conducted during the AI4SI International Summer School in Donostia-San Sebastián, this article compares two contrasting ecosystems: (i) the Established AI4SI Ecosystem, marked by centralized governance and uneven benefits, and (ii) the Decentralized Web3 Emerging Ecosystem, which promotes community-driven innovation, data sovereignty, and alternative economic models. Findings underscore AI’s dual economic role: while it can expand digital justice, service provision, and empowerment, it also risks reinforcing dependency and inequality where infrastructures and governance remain weak. This article concludes that embedding AI Economics in context-sensitive, decentralized social innovation systems—aligned with ethical governance and the SDGs—is essential for realizing AI’s promise of poverty alleviation in the Global South. Full article

This paper examines an approach to local-level community action for the global Sustainable Development Goals (SDGs), amid the growing importance of context-specific implementations to accelerate progress. Land-use governance is critical for contributions to the SDGs, as it shapes a wide range of environmental, social, and economic outcomes. Wildlife conservancies provide an innovative community-driven land-stewardship model that has proliferated across rangelands in various African countries as a sustainable development strategy. This study explores the potential contribution and capacity of conservancies, as a form of land-use governance, in advancing the SDGs at local levels. Using case studies from Kenya’s Maasai Mara, the research draws on qualitative primary data collected through in-depth interviews, a focus group discussion, observation, and document review, supplemented by secondary data obtained from a literature review. The data was analyzed thematically. The results show that conservancies address key socio-ecological challenges corresponding with multiple SDGs, particularly those related to poverty reduction, food security, climate action, and life on land. However, significant segments of local communities remain marginalized in decision making and benefit sharing, a situation rooted in pre-existing social hierarchies and weak governance institutions, raising concerns about social justice. Other major limitations are related to the conservancies’ over-reliance on tourism, and local people’s high dependence on natural resources. To resolve these limitations, the study recommends improving local governance via institutional strengthening, capacity building, gender empowerment, and stakeholder partnerships; diversifying income sources to reduce financial vulnerability; and adopting strategies to alleviate high dependence on natural resources in the long term. Full article

Rural collective entrepreneurship poverty alleviation within the university participation context is regarded as a “socio-technical-economic” hybrid system, which aims to generate long-term economic benefits and social well-being for rural collectives through the knowledge of universities and realize the effect of poverty alleviation. However, the existing research has largely overlooked the dynamic mechanisms involved, especially how rural collectives transition from a passive response to a proactive creation in the context of university participation. Thus, we employ Complex Adaptive Systems (CAS) theory’s “detectors-IF/THEN rules-effectors” framework through a longitudinal case study. These findings demonstrate that (1) detectors have transitioned from “specialized knowledge embedding” to “diverse knowledge embedding,” which enables broader information scanning; (2) IF/THEN rules undergo cognitive destructuring to cognitive restructuring, fostering adaptive knowledge orchestration strategies; and (3) effectors shift from exploiting vertically related opportunities to horizontally related opportunities. (4) Cross-phase evolution: The knowledge flow mechanism of “knowledge spillover-organizational learning-knowledge absorption” propels “detectors, IF/THEN rules, and effectors” from the passive response phase to the proactive creation phase. This study advances theoretical understanding of CAS and research on entrepreneurship for poverty alleviation. Full article

Globally, poverty remains a major obstacle to health parity, compromising well-being. This policy analysis aims to examine how poverty affects health inequities and healthcare access in two contexts: Canada, a high-income nation, and Pakistan, a low-income nation. This study employs a grounded approach, integrating a thorough review of the existing critical literature using systematic thematic analysis and synthesis. In Pakistan, chronic underinvestment, rural–urban gaps, inadequate infrastructure, and political instability exacerbate inequities in access to healthcare. Limited coverage, ineffective administrative processes, and gaps in rural healthcare delivery impede growth despite encouraging programs like the Sehat Card and the Ehsaas Program. Conversely, universal healthcare in Canada has lowered financial obstacles to access, but low-income and Indigenous communities are still impacted by service gaps, particularly in dental care, pharmacare, and mental health. Although child poverty rates have been significantly reduced by programs like the Canada Child Benefit, Indigenous children continue to endure disproportionate health risks. Findings underscore a need for equity-driven changes: Pakistan must expand rural health infrastructure and legislate health equity, while Canada should extend coverage to essential but excluded services. Findings underscore the intersecting nature of inequities driven by poverty, gender, geography, and systemic exclusion that highlight opportunities for cross-context policy learning. Canada’s equity monitoring frameworks could strengthen Pakistan’s health data systems, while Pakistan’s community-based Lady Health Worker program offers scalable grassroots models relevant for marginalized Canadian regions. Both countries must prioritize poverty alleviation as a health intervention, integrating justice, sustainability, and accountability to advance global health equity. Full article

Education can play a pivotal role in the eradication of energy poverty by facilitating the transfer of knowledge and skills to all interested stakeholders whilst also promoting the adoption of sustainable energy solutions. In the context of this paper, a comprehensive review of European master’s programs related to energy poverty is carried out, resulting in the identification of approximately of 100 programs across seven European countries that either explicitly or implicitly address the topic. In most cases, energy poverty is embedded in a broader academic discipline—such as energy systems, renewable energy, or sustainable development—rather than being treated as a standalone field. In Europe, the United Kingdom, France, Greece, and Romania were singled out as the leading contributors to energy poverty education. Within the framework of the EU-funded project “MSc in Energy Poverty Alleviation Technologies”, implemented in collaboration with South African universities, this study focuses on South Africa, which represents a characteristic example of a country facing high levels of energy poverty and significant inequalities in energy access. This work highlights the critical need for targeted academic curricula specifically designed to bridge the persistent gap between academic research and its real-world applications, particularly in regions of the world where such integration is most urgent. It also emphasizes the essential role of linking STEM education with the social and humanitarian sciences. Finally, this work underscores the need for interdisciplinary approaches that connect energy poverty alleviation and education by additionally expanding the research and documentation of relevant good initiatives from Asia (China). Full article