Search Results (504)

This study integrates the price-to-income ratio (PIR) with Pareto distribution characteristics to provide a novel approach for evaluating home affordability across U.S. counties. The methodology offers a new lens for the analysis of home affordability by capturing both the extreme values and central tendencies of PIR. The study normalizes the resulting Pareto parameters to a common scale and integrates data from the Zillow Home Value Index and the U.S. Department of Commerce’s SAIPE program to create a single affordability index. The findings point to significant regional differences: coastal and urban regions, such as California and New York, face significant affordability challenges, whereas the Midwest, especially Kansas, has higher affordability. The results highlight the significance of targeted policy interventions and are consistent with the body of research on systemic risk and housing market dynamics. This study also opens new avenues for future research, including the impact of economic factors on affordability and cross-regional comparative studies. The suggested approach encourages more equitable access to housing by providing policymakers with a useful tool to track and manage challenges related to housing affordability. Full article

Background/Objectives: The rapid identification of carbapenemase genes directly from positive blood culture (BC) samples shortens the time needed to initiate optimal antimicrobial therapy for Carbapenemase-Producing Enterobacterales (CPE) infections. Several commercial automated PCR systems are available for detecting CPE resistance genes but are expensive. The Xpert^® Carba-R assay (Cepheid GeneXpert System) has high sensitivity and specificity for the detection of carbapenamase genes from bacterial colonies or rectal swabs, with an affordable price. This assay was not used for positive BC testing of CPE resistance genes. Whole-Genome Sequencing (WGS) for resistance genes can be used as the gold standard at a research level. In this study, we evaluated the performance of the Xpert^® Carba-R assay for the early detection of carbapenamase genes directly from positive BCs, using WGS as the gold standard. Methods: A prospective observational study was conducted at Children’s Cancer Hospital-Egypt (CCHE-57357). All positive BCs underwent direct gram staining and conventional cultures. A total of 590 positive BCs containing Gram-negative rods (GNRs) were identified. The Xpert^® Carba-R assay was used to detect carbapenemase genes directly from the positive BC bottle compared with WGS results. Results: Among the 590 GNR specimens, 178 were found to carry carbapenemase genes using the Xpert^® Carba-R assay, with results obtained in approximately one hour. The main genotypes detected were bla_NDM, bla_OXA-48-like, and dual bla_NDM/bla_OXA-48-like at 27%, 29%, and 33%, respectively. The agreement between Xpert^® Carba-R assay and WGS results was almost perfect for the genotype resistance pattern of isolates and individual gene detection. Conclusions: The use of the Xpert^® Carba-R assay directly from BC bottles was an easy-to-use, time-saving, affordable tool with high accuracy in identifying carbapenemase genes and, thus, shortens the time needed to initiate optimal antimicrobial therapy for CPE infections. Full article

Frying is one of the most widely used cooking techniques, and olive oil is considered a suitable medium due to its high monounsaturated fatty acid content and natural antioxidants. Different olive oil categories vary in quality and price, yet their impact on fried food quality remains underexplored. This study used commercial chicken nuggets, a product commonly fried at home (180 °C), to evaluate how extra virgin, refined, and pomace olive oils influence nutritional (moisture, fat, and fatty acids), physicochemical (mechanical and acoustic properties, colour, and volatiles), and sensory attributes (Rate-All-That-Apply and hedonic tests). Overall, oil type produced minimal differences. Fat content did not vary (18.00–18.58 g/100 g), and although some fatty acid differences were significant, they were nutritionally negligible. Instrumental colour and most texture parameters were also unaffected. Volatile analysis showed terpenes as the most abundant class, with significantly higher levels in nuggets fried in extra virgin olive oil (344.8) compared with refined and pomace oils, which were similar (218.6 and 172.8, respectively). Nuggets fried in pomace olive oil were more often associated with toasted and burnt notes, supported by higher pyrazine levels (124.8 vs. 80.1 and 33.5), yet overall liking did not differ significantly (6.4 vs. 6.7 and 6.8). These results suggest that pomace olive oil, being considerably more affordable, represents a cost-effective frying alternative without compromising product quality. Full article

Digital Entrepreneurial Capability (DEC) is the integrated and learnable capacity that equips individuals, or founding teams, to sense, evaluate, and exploit entrepreneurial opportunities within digitally intermediated, platform-centric markets. The construct synthesises four interlocking elements. First, it requires technical dexterity: mastery of data engineering, AI-driven analytics, low-code development, cloud orchestration, and cybersecurity safeguards. Second, it draws on accumulated human capital—formal education, sector experience, and tacit managerial know-how that ground vision in operational reality. Third, DEC hinges on an opportunity-seeking mindset characterised by cognitive alertness, creative problem framing, a high need for achievement, and autonomous motivation. Finally, it depends on calculated risk tolerance, encompassing the ability to price and mitigate economic, technical, algorithmic, and competitive uncertainties endemic to platform economies. When these pillars operate synergistically, entrepreneurs translate digital affordances into scalable, resilient business models; when one pillar is weak, capability bottlenecks arise and ventures falter. Because each pillar can be intentionally developed through education, deliberate practice, and ecosystem support, DEC serves as a practical roadmap for stakeholders. It now informs scholarship across entrepreneurship, information systems, innovation management, and public-policy disciplines, and guides interventions ranging from curriculum design and accelerator programming to due-diligence heuristics and national digital literacy initiatives. Full article

Soaring housing prices worldwide are compromising housing affordability, potentially leading to significant economic, social, and health repercussions. Understanding the price discovery process within the real estate market is therefore crucial for policymakers. While the relationship between land and housing prices in urban residential markets has been widely examined in the literature, the results are often context-specific, leaving the question of whether the land market leads the housing market or vice versa open to debate. Saudi Arabia, with its rapidly growing real estate market, evolving demographics and urbanization trends, and transformative regulatory reforms, presents a compelling context for revisiting the land–housing nexus. This study examines the long-term relationship between land and housing markets and investigates the short-term price dynamics with the ultimate goal of understanding the price formation in the housing market. The study dataset comprises quarterly time-series price indices published by the General Authority for Statistics (GASTAT) in Saudi, representing the nation-wide price movements of residential lands and villas from 2014Q1 to 2025Q1. The study employs the Johansen cointegration method and the Granger causality testing. The results of cointegration analysis confirm a significant long-run equilibrium relationship between the two markets, while the error correction model reveals that both land and housing prices adjust to restore this equilibrium. Granger causality test results show a unidirectional relationship, where land prices predict future housing prices, consistent with the neoclassical rent theory. These findings reinforce the long-term, intrinsic link between land and housing markets observed in prior studies. The dynamics in the Saudi market are likely shaped by rapid urbanization that intensified speculation in the land market, and also the prevalence of self-building enabled by government-supported financing. This study underscores the importance of striking a delicate balance between supply and demand side policies in the real estate market while monitoring the impact of these policies on housing affordability. Full article

Background: Life insurance markets are experiencing unprecedented transformation in the wake of economic disruption, evolving consumer expectations, and behavioral shifts following the COVID-19 pandemic. Traditional economic models often fail to capture the complex interplay of attitudinal, and cognitive factors that now shape insurance demand and premium selection. Methods: This study analyzes nationally representative survey data from over 3600 U.S. adults (2024 NAIC Financial Inclusion Survey). It uses a weighted full maximum likelihood Heckman selection model to identify determinants of life insurance uptake and premiums. The main innovation is modeling psychological price, a composite of perceived affordability, with higher-order polynomials. The design integrates psychometrically validated measures of financial knowledge and risk tolerance. Political ideology, race and ethnicity, and sources of financial advice serve as exclusion restrictions in the selection equation. Results: Psychological price shows an inverse-U relation with term outcomes: uptake rises at low to moderate affordability and declines at high affordability; among purchasers, term premiums rise at low to mid affordability and decline at high levels. For cash value policies, premiums decrease as psychological price increases. Financial knowledge and risk tolerance increase term uptake; financial knowledge reduces cash premiums. Education and income increase term uptake and term premiums. Compared with respondents reporting no ideology, conservative and centrist respondents have lower term uptake and higher cash uptake; using a professional advisor is associated with higher cash uptake. The selection correlation is positive for term ($\rho \approx 0.98$) and negative for cash ($\rho \approx -0.38$), indicating non-random selection in both markets. Implications: In order to reduce disparities, insurers should target the mid-affordability threshold with term offerings, streamline options for high-affordability consumers, offer pricing support and guidance for low-affordability households, increase uptake through advice channels and financial education, and address affordability barriers. Conclusions: Nonlinear affordability effects shape both market entry and pricing choices. Modeling psychological price with higher-order polynomials identifies thresholds and turning points that linear specifications miss. The results support targeted product design and outreach when perceived affordability drives insurance participation and premium choices. Full article

Proper management of water resources in agriculture is of utmost importance for sustainable productivity, especially under the current context of climate change. However, many smart agriculture systems, including for managing irrigation, involve costly, complex tools for most farmers, especially small/medium-scale producers, despite the availability of user-friendly and community-accessible tools supported by well-established providers (e.g., Google). Hence, this paper proposes an irrigation management system integrating low-cost Internet of Things (IoT) sensors with community-accessible cloud-based data management tools. Specifically, it resorts to sensors managed by an ESP32 development board to monitor several agroclimatic parameters and employs Google Sheets for data handling, visualization, and decision support, assisting operators in carrying out proper irrigation procedures. To ensure reproducibility for both digital experts but mainly non-technical professionals, a comprehensive set of guidelines is provided for the assembly and configuration of the proposed irrigation management system, aiming to promote a democratized dissemination of key technical knowledge within a do-it-yourself (DIY) paradigm. As part of this contribution, a market survey identified numerous e-commerce platforms that offer the required components at competitive prices, enabling the system to be affordably replicated. Furthermore, an irrigation management prototype was tested in a real production environment, consisting of a 2.4-hectare yellow kiwi orchard managed by an association of producers from July to September 2021. Significant resource reductions were achieved by using low-cost IoT devices for data acquisition and the capabilities of accessible online tools like Google Sheets. Specifically, for this study, irrigation periods were reduced by 62.50% without causing water deficits detrimental to the crops’ development. Full article

The sharp rise in electricity prices in South Africa has raised a growing concern over household electricity use, affordability, and the need for sustainable consumption patterns. This increasing cost of electricity has added financial pressure on South Africans already burdened by rising prices of water, food, and fuel. This study aims to determine the relationship between residential electricity consumption and electricity prices in South Africa, using annual time series secondary data spanning from 1975 to 2024. To determine the long-run relationship the study employed econometric techniques such as Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS), then, for robustness, the Vector Error Correction Model (VECM) and diagnostics checks. The findings of the study revealed a negative relationship between electricity prices and residential electricity consumption. While disposable income showed a positive relationship with residential electricity consumption, the population growth revealed a negative relationship with residential electricity consumption. Based on the empirical findings of the study, South African policymakers should ensure the affordability of electricity and user-efficiency so that population growth does not worsen energy inequality. Hence, policymakers should ensure basic access for all households by supporting low-income groups and applying higher tariffs for higher consumption. These measures promote fairness, meet essential electricity needs, and encourage responsible use. Full article

This systematic review synthesizes evidence on economic instruments that mobilize renewable-energy investment in emerging economies, analyzing 50 peer-reviewed studies published between 2015 and 2025 under PRISMA 2020. We advance an Institutional Capacity Integration Framework that ties instrument efficacy to regulatory, market, and coordination capabilities. Green bonds have mobilized roughly USD 500 billion yet work only where robust oversight and liquid markets exist, offering limited gains for decentralized access. Direct subsidies cut renewable electricity costs by 30–50% and connect 45 million people across varied contexts, but pose fiscal–sustainability risks. Carbon pricing schemes remain rare given their administrative complexity, while multilateral climate funds show moderate effectiveness (coefficients 0.3–0.8) dependent on national coordination strength. Bibliometric mapping with Bibliometrix reveals three fragmented paradigms—market efficiency, state intervention, and international cooperation—and highlights geographic gaps: sub-Saharan Africa represents just 16% of studies despite acute financing barriers. Sixty-eight percent of articles employ descriptive designs, constraining causal inference and reflecting tensions between SDG 7 (affordable energy) and SDG 13 (climate action). Our framework rejects one-size-fits-all prescriptions, recommending phased, context-aligned pathways that progressively build capacity. Policymakers should tailor instrument mixes to institutional realities, and researchers must prioritize causal methods and underrepresented regions through focused initiatives for equitable global progress. Full article

Objectives: Hepatitis E virus (HEV) infection is associated with severe hepatitis and high mortality rates, yet vaccination coverage remains suboptimal. Investigating public preferences for HEV vaccination is critical for developing targeted prevention strategies. This study employed a discrete choice experiment (DCE) to quantify attribute preferences and willingness-to-pay (WTP) for HEV vaccination among Chinese residents (in Shaanxi Province, for example), aiming to inform evidence-based immunization policy optimization. Methods: A cross-sectional survey recruited 3300 participants using stratified random sampling. The vaccine attributes—protective efficacy, duration of protection, and out-of-pocket cost—were identified using a systematic literature review and expert consultation. A comparative analysis of preference characteristics was conducted using conditional logit (Model 1) and mixed logit (Model 2) regression models. Population heterogeneity in vaccination preferences was further analyzed using the conditional logit framework, with marginal WTP estimated using parameter coefficients. Results: Among 3199 valid responses, duration of protection (Model 2: 10-years; β = 0.456, p < 0.001) and out-of-pocket cost (Model 2: 2000–3000 CNY; β = −0.179, p < 0.001) significantly influenced vaccination decisions. Preference heterogeneity was observed: women of childbearing age prioritized longer protection (10 years; β = 0.677, p < 0.001) and were sensitive to the cost of 1000–2000 CNY (β = 0.169, p = 0.011), while urban residents valued extended protection more than rural counterparts. Conclusions: Protection duration emerged as the primary determinant of HEV vaccination preference. Policy recommendations include implementing tiered pricing strategies and targeted health education campaigns emphasizing long-term protection benefits to enhance vaccine uptake and affordability. Full article

Context: It has been claimed that recently, in England, the places with the greatest amount of housing built were the places that least needed them. This is an accusation that has echoes in a number of countries around the globe. The lack of construction leads to greater unaffordability and a lower level of economic activity than could have been achieved if labour, particularly those with high human capital, was not so constrained as to where they could afford to live. The recent National Planning Policy Framework for England imposes mandatory targets on housing planning authorities. As such, the following question is raised: will the targets result in additional residential homes being located in places of greater need than the prevailing pattern? Research Questions: The paper sets out to consider the spatial mismatch between housing additions and national benefit in terms of unaffordability and productivity. Specifically, do the concentrations of high and/or low rates of the prevailing rates of additional dwellings and the target rates of adding dwellings correspond with the clusters of high and/or low unaffordability and productivity? A further question considered is: does the spatial distribution of additional dwellings match the clusters of population growth? Method: The values of the variables are transformed at the first stage into Anselin’s LISA categories. LISA maps can reveal unusually high spatial concentrations of values, or clusters. The second stage entails comparing sets of the transformed data for agreement of the classifications. An agreement coefficient is provided by Fleiss’s kappa. Data: The data used is of additional dwellings, the total number of dwellings, population estimates, gross value added per hour worked (productivity data), and house price–earnings ratios. The period of study covers the eight years prior to 2020 and the two years after, omitting 2020 itself due to the unusual impact on economic activity. All the data is at local authority district level. Findings: The hot and cold spots of additional dwellings do not correspond those of house price–earnings ratios or productivity. However, population growth hot spots show moderate agreement with those of where additional dwellings are concentrated. This is in line with findings from elsewhere, suggesting that population follows housing supply. Concentrations of districts with relatively high targets per unit of existing stocks are found correspond (agree strongly) with clusters of house price–earnings ratios. Links between productivity and housing are much weaker. Conclusions: The strong link between targets and affordability suggests that if the targets are met, the claim that the places that build the most housing are the places that least need them can be challenged. That said, house-price–earnings ratios present a view of unaffordability that will favour greater building in the countryside rather than cities outside of London, which runs against concentrating new housing in urban areas consistent with fostering clusters/agglomerations implicit in the new modern industrial strategy. Full article

Despite numerous global initiatives, such as the Sustainable Development Goals (SDGs) and the implementation of environmental, social, and governance (ESG) metrics aimed at mitigating climate change, promoting social welfare, and addressing a variety of other causes, progress has been significantly slower than expected, particularly in developing economies. Thus, we attempted to link corporate ESG to sustainable development. It was also investigated whether ESG contributes to a reduction in corporate risk. Using panel data and the Generalized Method of Moments (GMM) technique, we examine the relationship between ESG scores and important financial risk indicators such as systematic risk (beta), stock price volatility, unsystematic risk, and the cost of capital (WACC). The findings show that corporations place a disproportionate emphasis on governance (G) rather than environmental (E) and social (S) characteristics. ESG and G governance were also found to be statistically significant predictors of financial risk. This disparity shows that companies may be using high governance scores to conceal underperformance in environmental and social issues, raising worries about greenwashing and superficial compliance. As a result, their contributions to SDGs such as affordable and clean energy (SDG 7), climate action (SDG 13), and reduced inequalities (SDG 10) are minimal. The findings highlight the need for a more open, balanced, and integrated ESG approach, one that not only promotes sustainable development but also improves long-term financial resilience. Full article

Background: Access to healthy food in emerging-economy cities is challenged by last-mile constraints and poor infrastructure. Aligned with the UN SDGs on Zero Hunger and Sustainable Cities, this study examines how a strategically located nanostores network can help close these gaps while fostering local resilience. Focusing on Colombia’s Sabana Centro region, we designed a nanostore network that maximizes spatial coverage, proximity, and affordability. Methods: A competitive facility-location model combined with a discrete choice model captures consumer heterogeneity in price and location preferences. Results: Results show that locating nanostores in peripheral rather than central areas improves equity: the proposed network meets about 65,400 kg of weekly demand—51% fruit, 36% vegetables, 13% tubers—representing 16% of total regional demand and reaching underserved municipalities. This is notable given that existing nanostores already satisfy roughly 37% of household needs. Conclusions: By linking consumer behavior with sustainable spatial planning, the research offers both theoretical insight and practical tools for equitable distribution. Future work should evaluate supportive policies and supply chain innovations to secure nanostores’ long-term viability and community impact. Full article

This research utilised Value–Belief–Norm theory (VBN) to develop a conceptual framework to test the impact of environmental consciousness on green purchasing behaviour through financial attitude. In addition, this study tested the moderating role of price sensitivity and greenwashing on the indirect impact of environmental consciousness on green purchasing behaviour through financial attitude among consumers in Egypt and Jordan. The study employs a cross-sectional questionnaire using a Likert scale to collect 828 and 776 valid responses from Egypt and Jordan, respectively. The data were analysed using Structural Equation Modelling (SEM). The results revealed that financial attitude positively mediates the link between environmental consciousness and green behaviour, while price sensitivity and greenwashing significantly moderate the indirect relationship between environmental consciousness and green purchasing behaviour through financial attitude in both Egypt and Jordan. The study extends VBN through contextualising its abstract ideas into the research variables and testing it in two developing economies. In addition, it enhances understanding of the barriers to and enablers of green purchasing behaviour and offers actionable recommendations for businesses to improve the transparency and affordability of green products, while guiding policymakers on designing targeted incentives and regulations to foster sustainable consumption. Full article

This study examines the impact of personal remittances on housing prices in European Union (EU) countries, while also accounting for a broader set of macroeconomic, demographic, and structural variables. Using annual data for 27 EU countries from 2007 to 2022, we employ a comprehensive panel econometric approach, including cross-sectional dependence tests, second-generation unit root tests, pooled mean group–autoregressive distributed lag (PMG-ARDL) estimation, and panel causality tests, to capture both short- and long-term dynamics. Our findings confirm that remittances significantly and positively influence long-term housing price levels, underscoring their relevance as a demand-side driver. Other key variables such as net migration, GDP, travel credit to GDP, economic freedom, and real effective exchange rates also contribute to housing price movements, while supply-side indicators, including production in construction and building permits, exert moderating effects. Moreover, real interest rates are shown to have a significant long-term negative effect on property prices. The analysis reveals key causal links from remittances, FDI, and net migration to housing prices, highlighting their structural and predictive roles. Bidirectional causality between economic freedom, housing output, and prices indicates reinforcing feedback effects. These findings position remittances as both a development tool and a key indicator of real estate dynamics. The study highlights complex interactions between international financial flows, demographic pressures, and domestic economic conditions and the need for policymakers to consider remittances and migrant investments in real estate strategies. These findings offer important implications for policymakers seeking to balance housing affordability, investment, and economic resilience in the EU context and key insights into the complexity of economic factors and real estate prices. Importantly, the analysis identifies several causal relationships, notably from remittances, FDI, and net migration toward housing prices, underscoring their predictive and structural importance. Bidirectional causality between economic freedom and house prices, as well as between housing output and pricing, reflects feedback mechanisms that further reinforce market dynamics. These results position remittances not only as a developmental instrument but also as a key signal for real estate market performance in recipient economies. Full article