Search Results (1,037)

Saudi Arabia’s Vision 2030, unveiled by Crown Prince Mohammed bin Salman on 25 April 2016, aims to diversify the economy beyond oil dependency and engender robust foreign direct investment (FDI). This research investigates the primary economic challenges impeding foreign investors from entering the Saudi market and devises effective strategies to sustain FDI inflows. The study employs a comprehensive methodology, including an extensive literature review spanning from 2016 to 2023, supported by quantitative statistical analysis using a Multiple Linear Regression Model and qualitative insights derived from Delphi interviews with industry experts. The study’s outcomes reveal a significant disparity between the targeted FDI growth from 3.8% to 5.7% of GDP and the existing trajectory, highlighting pressing economic challenges that require immediate attention. Key findings indicate that factors such as population growth, government spending, and trade openness significantly influence FDI dynamics, with a particular emphasis on the positive impact of investment protection agreements. The integration of qualitative methodologies further elucidates the importance of robust legal frameworks and regulatory reforms in fostering an investor-friendly environment. Overall, this research provides strategic recommendations for improving the investment landscape in Saudi Arabia, aligning with the broader goals of Vision 2030, and enhancing the country’s attractiveness as a global investment destination. The commitment to fostering a conducive investment ecosystem serves as a pivotal mechanism for driving economic growth and achieving sustainable development goals within the Kingdom. Full article

This study provides a comprehensive empirical examination of the drivers and dynamics of Juglar cycles in China from 1981 to 2024. We develop a unified framework that integrates investment, institutional, productivity, and structural factors, and employ a Vector Error Correction Model to analyze the long-run equilibrium and short-run adjustment mechanisms linking fixed asset investment (FAI), government fiscal expenditure (GFE), total factor productivity (TFP), industrial structure upgrading (ISU), and gross domestic product (GDP). Our results confirm a stable cointegration relationship and identify FAI as the most influential long-run driver of output, with a 1% increase in FAI leading to a 0.88% rise in GDP. Industrial upgrading also exerts a positive long-run influence on growth, whereas government spending exhibits a significant negative effect, potentially indicating crowding-out or efficiency losses. In the short run, we find unidirectional Granger causality from FAI to GDP, suggesting that changes in investment contain meaningful predictive power for future output fluctuations. Furthermore, impulse response and variance decomposition analyses illustrate the temporal evolution of these effects, highlighting that the contribution of TFP gains importance over the medium term. Overall, this study deepens our understanding of business cycle transmission mechanisms in emerging economies and offers valuable insights for policymakers seeking to balance investment-driven growth with structural reforms for sustainable and robust economic development. Full article

Background: The adoption of a healthy lifestyle and eating habits in children represents a major public health objective worldwide, with significant implications for the development of chronic non-communicable diseases in adulthood. In Italy, the “OKkio alla SALUTE” Surveillance System (National Institute of Health) has been in place since 2007 to periodically monitor the nutritional status and health-related behaviors of children aged 8 to 9 years old. Methods: Data were collected as part of the 2023 nutritional surveillance survey in the Tuscany Region through questionnaires completed by both children and their parents. A cluster sample design was adopted. The weight and height of children were directly measured. Logistic regression analysis was used to examine the association between measured variables (unhealthy eating habits and lifestyles) and overweight or obesity. Results: A total of 1427 children participated. In our sample, 17% of children were overweight, 5.7% were obese, and 1.3% were severely obese, totaling 24% of children classified as overweight. Tuscany’s rates are lower than the national average of 28.8%. Children whose parents had a low level of education were nearly twice as likely to consume sugary drinks daily (OR_adj = 1.97; 95% CI: 1.22–3.18) and to lead a sedentary lifestyle (OR_adj = 1.99; 95% CI: 1.33–2.97). Children from families reporting financial hardship were more likely to consume fruit and vegetables less than once a day (OR_adj = 2.35; 95% CI: 1.12–4.92) and to spend more time in sedentary activities (OR_adj = 3.30; 95% CI: 1.66–6.56). Regarding overweight, including obesity, children from economically challenged families had nearly double the risk of being overweight compared to those from financially stable households (OR_adj = 1.81; 95% CI: 1.09–2.98). Conclusions: The aim of our study was to evaluate which family factors are associated with unhealthy lifestyles in order to assess and, if appropriate, confirm the need for targeted and integrated interventions involving families, schools, and local communities to promote healthy lifestyles and effectively combat childhood obesity in Tuscany. Full article

Indoor air pollution (IAP) has emerged as a critical yet underrecognized threat to public health, particularly in non-industrial environments such as homes, schools, and healthcare facilities. As individuals spend approximately 90% of their time indoors, exposure to indoor pollutants—such as particulate matter, volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), and microbial contaminants—can lead to significant health risks. These risks disproportionately affect vulnerable populations, including children, the elderly, and individuals with pre-existing conditions. The effects range from mild respiratory symptoms to severe outcomes like asthma, cardiovascular diseases, and cancer. This review investigates the sources, typologies, and health effects of indoor air pollutants, with a focus on their implications for maternal and child health. In particular, children’s developing systems and higher metabolic intake make them more susceptible to airborne toxins. The study also explores the legal and regulatory frameworks surrounding indoor air quality (IAQ), emphasizing how increased awareness and scientific evidence are expanding the scope of medical–legal responsibility. Legal liabilities may arise for property owners, designers, or manufacturers when poor IAQ leads to demonstrable health outcomes. Despite growing concern, there remains a significant research gap concerning the long-term health effects of chronic low-level exposure in residential settings and the efficacy of mitigation strategies. The evolution of smart building technologies and green construction practices offers promising avenues to improve IAQ while maintaining energy efficiency. However, standards and regulations often lag behind scientific findings, highlighting the need for updated, enforceable policies that prioritize human health. This work underscores the urgency of a multidisciplinary and preventive approach to IAQ, integrating public health, environmental engineering, and legal perspectives. Future research should focus on real-time IAQ monitoring, targeted interventions for high-risk populations, and the development of comprehensive legal frameworks to ensure accountability and promote healthier indoor environments. Full article

Concerns about ensuring a sustainable environment are growing, attracting major attention from policy professionals worldwide. Therefore, this study investigates the nonlinear impacts of fiscal consolidation on CO₂ emissions in 17 OECD countries from 1978 to 2020. To probe the short- and long-term connections across various quantiles of CO₂ emissions, we adopted panel QARDL frameworks. The Granger non-causality test was used to investigate the variables’ association with CO₂ emission. The study’s main findings confirm the overall beneficial effect of fiscal consolidation on carbon emissions. It reduces CO₂ emissions at almost all quantiles in the short run. By contrast, in the long run, the effect is positive at lower quantiles and turns negative at upper quantiles. Furthermore, a causality analysis identified a bidirectional causal relationship between fiscal consolidation and CO₂ emissions, confirming the existence of mutual influence. While Keynesian theory links fiscal consolidation to economic recession, our findings support the non-Keynesian view, showing that such policy can foster economic growth and thereby contribute to reducing CO₂ emissions in the short run. Thus, OECD countries are orienting public spending and carbon taxation toward environmentally friendly practices while ensuring environmental protection and deficit reduction. Nonetheless, the identified mixed effect in the long run highlights the need for sustained consolidation policies by enhancing expenditure efficiency and adopting targeted taxation measures to achieve lasting emission reductions and support the transition to cleaner energy, even when emissions are relatively low. Full article

Background: Huntington’s disease (HD) causes progressive motor dysfunction, with chorea as its hallmark symptom. Vesicular monoamine transporter 2 (VMAT 2) inhibitors (tetrabenazine, deutetrabenazine, valbenazine) are established symptomatic therapies, while dopamine stabilizers (pridopidine, ordopidine) are emerging therapies, but their net benefit and safety remain uncertain. Methods: Seven databases were searched through May 2025 following PRISMA guidelines. Random effects meta-analyses calculated mean differences (MDs) for the Unified Huntington Disease Rating Scale total motor score (UHDRS TMS) and total maximal chorea score (TMC), plus risk ratios (RRs) for adverse events (AEs). Trial Sequential Analysis (TSA) applied a Lan DeMets O’Brien Fleming α spending function with 80% power. Results: Seven randomized trials (1431 participants) met inclusion criteria. VMAT 2 inhibitors significantly improved motor outcomes versus placebo (UHDRS TMS: MD −3.80, 95% CI −5.76 to −1.83; TMC: MD −3.05, 95% CI −3.84 to −2.26; both I² = 0%). Dopamine stabilizers produced no meaningful change (UHDRS TMS: MD −0.98, 95% CI −2.48 to 0.51; I² = 32%). Neither class increased total AEs (VMAT 2: RR 1.21, 95% CI 0.99 to 1.48; dopamine stabilizers: RR 1.05, 95% CI 0.92 to 1.20; both I² = 0%). TSA confirmed robust evidence for VMAT 2 benefits on TMC but indicated additional data are required to verify dopamine stabilizer effects on UHDRS TMS. Trial sequential analysis confirmed the reliability of VMAT2 for TMC; however, the sample size was insufficient to draw conclusions about the effects of dopamine stabilizers on UHDRS TMS or their safety outcomes, indicating that additional data are needed. Conclusions: VMAT-2 inhibitors may suggest potential improvements in motor symptoms in Huntington’s disease, while current evidence does not demonstrate a significant benefit of dopamine stabilizers. The safety profiles of both treatments appear generally comparable to placebo. Further rigorous and long-term studies are required to better establish their efficacy and safety. Full article

This study analyzes the determinants of impulsive buying behavior in low-cost retail stores in Metropolitan Lima, with particular emphasis on psychological, economic, social, and personal factors. The research draws on survey data collected from 380 consumers aged 18 to 39 belonging to socioeconomic levels B and C who had made recent purchases in discount stores. Data were gathered through a structured and validated instrument and examined using ordinal logistic regression and multinomial discrete choice models. The dependent variable, impulsive buying, was measured through three dimensions—remembered, suggested, and pure—while explanatory variables were classified into low, medium, and high categories. The empirical results demonstrate that psychological and economic dimensions exert a strong and positive influence on impulsive consumption, whereas social factors show no significant effect. Personal factors, though less consistent, also reveal a positive role. Diagnostic tests, including robustness checks, confirm the stability of the estimations. Beyond its marketing relevance, the findings contribute to the sustainability debate by highlighting how understanding impulsive behavior can guide the design of retail strategies that foster responsible consumption, reduce the risks of over-spending in vulnerable households, and support inclusive and resilient consumption practices. Thus, the study links the analysis of changing consumption patterns with broader sustainability goals in emerging urban contexts. Full article

The COVID-19 pandemic disrupted tourism systems worldwide, particularly ecologically sensitive and tourism-dependent regions such as the Galapagos Islands. This study investigated the impact of the pandemic on profiles of tourists visiting Santa Cruz Island by comparing an analysis from 2019 to data we gathered in 2021. Using survey-based data and cluster analysis, we identified significant shifts in tourist origin, travel modalities, and expenditure patterns. Results showed a marked increase in domestic tourism, with Ecuadorians becoming the dominant visitor group during the pandemic, primarily favoring land-based tourism and shorter stays. In contrast, international tourists remained present in niche, higher-spending segments associated with cruise-based and multi-island itineraries. These findings highlight a temporary yet meaningful transformation in the tourism dynamic, driven by changes in risk perception, economic factors, and policy restrictions. The emergence of these segments underscores the need for adaptive destination management strategies that align with sustainability goals, conservation priorities, and socioeconomic resilience. We also demonstrated the value of structured surveys as a cost-effective tool for evidence-based decision-making in resource-constrained settings. Full article

Improving the supply of rural public goods serves as a driving engine for rural revitalization and provides fundamental assurance for achieving self-sustained development in rural areas. This study examines how China’s supervision down to the countryside (SDC) policy affects village-level public expenditure, addressing broader debates on grassroots governance reforms. Using 2005–2019 panel data from 100 villages across five provinces, we employ a multi-period staggered difference-in-differences (DID) design to identify causal effects. Empirical results indicate that SDC implementation significantly reduced overall village public spending and investment in new public goods, primarily driven by enhanced budget constraints. Case analysis reveals that this occurs through procedural formalization and participatory oversight. Heterogeneity analysis shows that the effect is more pronounced in villages with weaker clan influence, lower economic development, and absence of factional competition. The findings of this study provide empirical evidence for the perspective in village power supervision theory that “top-down, external, institutional supervision requires clearly defined boundaries” and provides a reference for policies aimed at promoting the sustainable development of rural governance. Full article

Gyrification, the folding of the cerebral cortex, plays a crucial role in brain development and function. Perinatal hypoxia–ischemia (HI) is a leading cause of neonatal brain injury, affecting cortical folding that can be measured by the gyrification index (GI). Using a late-preterm ferret model, our objective was to explore the relationships between HI injury, GI changes, and behavior, as well as the potential moderating effects of sex and treatment. Animals received 3 mg/kg E. coli lipopolysaccharide and underwent bilateral carotid artery ligation followed by alternating hypoxia and hyperoxia (HIH) and were randomized to saline vehicle (n = 25), erythropoietin (n = 20), therapeutic hypothermia (6 h at 33.5 °C, n = 20), and uridine monophosphate (n = 6), with n = 20 unexposed littermates serving as controls. Early reflex testing, CatWalk gait analysis, open-field behavior, and an open-water swim test were performed. Average, peak, motor, and somatosensory strip GIs were then assessed using ex vivo MRI. In control animals, males had lower GI than females; however, HIH exposure resulted in male GI being more similar to females, where HIH animals had significantly higher average GI than controls (p = 0.02). Adjusting for brain volume and injury, GIs in motor and somatosensory areas were associated with faster reflex outcomes in males but not females. In female controls, motor and somatosensory GIs were associated with increased anxiety-like behaviors, such as spending less time in open water during the swim test. By comparison, in male controls, higher GI was associated with decreased anxiety-like behaviors, including higher exploration index in the swim test. These sex-specific relationships between GI and behavior were lost with HIH injury. Treatment did not meaningfully restore the relationship between GI and behavior after HIH, but targeting this outcome may be an important measure for use in future neuroprotection studies in the ferret. Full article

Financial literacy has grown significantly in recent years, leading to increased accountability among individuals in managing their spending, investments, and financial planning. To effectively develop new technologies, how potential users respond to them beforehand must be understood. In this study, we developed a model based on the unified theory of acceptance and use of technology (UTAUT), encompassing five primary components: performance expectations, social influence, facilitating conditions, satisfaction, and continuation intentions. A total of 250 participants’ data were analyzed using an artificial neural network (ANN) to evaluate the integrated model. The results showed variables affecting lower-middle-class users of a digital financial literacy application’s acceptance of new technology. Full article

The use of drones for monitoring mammal populations has increased in recent years due to their relatively low cost, accessibility, and ability to survey large areas quickly and efficiently. The type of drone sensor used during surveys can significantly influence species detection probability. For arboreal mammals, thermal infrared (TIR) sensors are commonly used because they can detect heat signatures of canopy-dwelling species. However, drones equipped with TIR cameras are more expensive and thus less accessible to conservation practitioners who often work with limited funding compared to drones equipped exclusively with standard visual spectrum cameras (Red, Green, Blue; RGB drones). Although RGB drones may represent a viable low-cost alternative for wildlife monitoring, their effectiveness for monitoring arboreal mammals remains poorly understood. Our objective was to evaluate the use of RGB drones for monitoring arboreal mammals, focusing on Geoffroy’s spider monkeys (Ateles geoffroyi) and southern muriquis (Brachyteles arachnoides). We used pre-programmed flights for spider monkeys and manual flights for muriquis, selecting the most suitable method according to the landscape characteristics of each study site; flat terrain with relatively homogeneous forest canopy height and mountainous forests with highly variable canopy height, respectively. We detected spider monkeys in only 0.4% of the 232 flights, whereas we detected muriquis in 6.2% of the 113 flights. Considering that both species are highly arboreal, use the upper canopy, and share similar locomotion patterns and group size, differences in detectability are more likely related to the type of drone flights used in each case study than to species differences. Preprogrammed flights allow for systematic and efficient area coverage but limit real-time adjustments to environmental conditions such as wind, canopy structure, and visibility. In contrast, manual flights offer greater flexibility, with pilots being able to adjust speed, height, and flight path as needed and spend more time over specific areas to conduct a more exhaustive search. This flexibility likely contributed to the higher detection rate observed in the muriqui study, but detectability was still low. The findings of the two studies suggest that RGB drones are better suited as a complementary tool rather than a primary method for monitoring arboreal mammals in dense forest habitats. Nonetheless, RGB drones offer valuable opportunities for other applications, and we highlight several examples of their potential utility in arboreal mammal research and conservation. Full article

Although there are still significant inequalities, women’s labor force participation has increased in many parts of the world. These disparities are linked to socio-economic, territorial, and institutional conditions, such as access to land, quality of infrastructure, and the availability of decent work in both urban and rural areas. To understand how these socio-economic and spatial factors interact with national economic and policy frameworks is essential for analyzing gender participation in work. In this study, we examine the structural, territorial, and socio-economic factors shaping female labor force participation in 49 countries between 2013 and 2022, covering Europe, Asia, Latin America, and Africa. We investigate the interaction between macroeconomic conditions, public investment in education, and spatial inequalities. In addition, we focus on how these factors work together within different institutional settings. The analysis also considers territorial aspects such as urban–rural differences, regional development issues, and land-related livelihoods. The data were collected from the World Bank’s World Development Indicators to build a balanced panel. We implemented a Bayesian hierarchical panel regression model to understand how economic, institutional, and spatial factors jointly influence women’s participation in the labor force across different national and regional contexts. For model specification, we used standardized predictors and country-level intercepts to allow the model to account for institutional differences. The results indicate that national income levels and female unemployment rates are the most important factors affecting participation. On the other hand, tertiary enrollment and public education spending have weaker or mixed effects. Notably, although more women now complete higher education, many, especially in non-OECD countries, still face barriers to entering formal employment. Furthermore, in many developing countries, women still encounter restricted access to formal and secure jobs, particularly in rural and less developed areas. These findings show that economic growth is not the only factor needed to achieve gender equality in the labor market. Sustainable progress requires plans that bring together labor reforms, better education, care services, and fair growth in all regions. It is also important to fix problems with land, close the gap between cities and villages, and address environmental challenges. By linking labor markets, education, and land-linked spatial constraints, the study informs SDGs 5 (Gender Equality), 8 (Decent Work and Economic Growth), and 10 (Reduced Inequalities). Full article

This paper explores the central role of monetary governance, i.e., high politics and low politics, in protecting a currency’s exchange rate and reducing its volatility during periods of global crisis. Using annual panel data from 15 developed and emerging economies between 2001 and 2023, and applying a panel ARDL approach, the study assesses the effectiveness of high politics—captured through governance indicators—and low politics—captured through economic indicators—as a shield against external shocks, such as the 2008 financial crisis, the COVID-19 pandemic, and the Russo–Ukrainian conflict. The findings demonstrate that strong monetary governance significantly strengthens the Real Effective Exchange Rate (REER) and dampens its volatility in the long-term. In contrast, macroeconomic variables such as inflation, public spending, and trade openness exert destabilizing effects. The results highlight the strategic importance of governance as a long-term anchor of exchange rate resilience, suggesting that countries with robust institutional frameworks are better equipped to withstand global disruptions. These insights offer crucial policy implications for reinforcing monetary governance, especially in emerging economies vulnerable to financial and geopolitical turbulence. Full article

A very important method of reducing carbon emissions is to make sure industrial plants are operated at optimal energy efficiency. The oil and petrochemical industries spend large amounts of energy in the transportation of petroleum and its various products that have high viscosities. A critical component in these plants is abrupt pipe contraction. Large amounts of energy are lost in pipe contractions. In this paper we investigate the energy losses in pipe contraction using the local entropy generation method after solving the detailed flow field around an abrupt pipe contraction. We have applied the method at various Reynolds numbers covering laminar and turbulent flow regimes. Furthermore, we have used an integral entropy analysis and found excellent agreement between the differential and integral entropy methods when the computational grid is well refined. The differential analysis was able to predict the local entropy generation and find where the large losses are located and therefore be able to minimize these losses effectively. Based on the detailed entropy generation field, it is recommended to use rounded contraction in order to reduce the losses. By introducing rounded contractions in laminar flow, the losses have been reduced by 22%. In the case of the turbulent flow regime, the losses were reduced by 96% by introducing a rounding radius to diameter ratio r/D₂ of 10%. The turbulent flow results for the case of pipe entrance, which is a special case of abrupt contraction (D₂/D₁ goes to zero) agree very well with the present results. This work addresses a large range of D₂/D₁ for laminar and turbulent flows. It is recommended that companies involved in designing petrochemical plants and installations take these findings into consideration to reduce carbon emissions. These recommendations also extend to the design of equipment and piping systems for the food industry and micro-device flows. Full article