Search Results (91)

This study aims to evaluate how key financial, educational, technological, and institutional drivers shape resource efficiency (RCE), a critical pillar of sustainable development—across major economies. Enhancing RCE is vital for ensuring long-term ecological and economic stability while meeting global sustainability targets. Using panel data from 2000 to 2022 for G20 countries, this research examines the dynamic effects of natural resources (NRSs), educational quality (EDQ), financial inclusion (FIN), green innovation (GRI), and economic complexity (ECC) on RCE. The Cross-Sectional Autoregressive Distributed Lag (CS-ARDL) model is applied to capture both short- and long-term relationships and is validated by robustness checks using the Augmented Mean Group (AMG) and Common Correlated Effects Mean Group (CCEMG) estimators. The results show that EDQ and FIN exert a negative influence on RCE, suggesting that governance inefficiencies occur when aligning education systems and financial mechanisms with sustainability goals. In contrast, NRS, GRI, and ECC significantly enhance RCE, underscoring the value of resource stewardship, innovation-driven transitions, and complex economic structures in promoting efficiency. These findings have governance implications, emphasizing the need for institutional reforms that integrate sustainability into the education and financial sectors while supporting green innovation and economic diversification. Policymakers in G20 economies are urged to implement coherent strategies that redirect educational and financial frameworks toward inclusive, resilient, and resource-efficient development pathways, thereby advancing the United Nations Sustainable Development Goals (SDGs). Full article

Objective: This study investigates the longitudinal reciprocal relationships among physical exercise (PE), executive function (EF), and subjective well-being (SWB) in ethnic minority college students in China, with the aim of providing theoretical and practical guidance for their psychological and cognitive development. Method: A three-wave longitudinal design was employed over a nine-month period to collect data on PE, EF, and SWB from 482 ethnic minority college students in Shaanxi Province, China (M age = 20.3 years, 63% female). Data were analyzed using a random-intercept cross-lagged panel model (RI-CLPM), and multigroup analysis (MGA) was used to examine the moderating effects of gender, family ethnic composition, and residential area. Results: The study revealed significant positive correlations among PE, EF, and SWB at the between-person level. At the within-person level, the variables exhibited temporal stability, with earlier levels significantly predicting later levels, indicating cumulative effects. Key cross-lagged analyses unveiled significant dynamic reciprocal relationships among the three variables: earlier PE positively predicted subsequent EF and SWB, earlier EF positively predicted subsequent PE and SWB, and earlier SWB positively predicted subsequent EF. Importantly, these dynamic pathways and overall relationships were consistent across gender, family structure, and residential area, indicating robustness within the studied population. Conclusion: This study highlights the dynamic, reciprocal relationships among PE, EF, and SWB. Consequently, promoting physical activity and culturally sensitive interventions for ethnic minority college students is crucial for enhancing their psychological resilience and well-being. This research offers valuable insights for policymakers and educators. Full article

This study examines the impact of economic policy uncertainty (EPU) on agricultural land conversion. Using a newspaper-based index of EPU and a comprehensive panel dataset covering 270 prefecture-level cities in China, we estimate a city fixed effects model to explore this relationship. Our results indicate that a one-standard-deviation increase in EPU leads to a 22.2% increase in the conversion of agricultural land to urban residential, commercial, and industrial uses. This finding suggests that the surge in EPU triggered by the global financial crisis accounts for approximately 45% of the increase in agricultural land conversion. The adverse effect on agricultural land preservation mainly stems from intensified fiscal pressures and heightened demands on local governments to meet economic growth targets. To address potential endogeneity concerns, we employ the one-period lagged U.S. EPU index and its temporal variations as an instrument for China’s EPU, leveraging cross-country spillover effects. Our instrumental variable estimates confirm the validity of the land conversion effect and its underlying mechanisms. Furthermore, we find that the effects of EPU are particularly pronounced in cities located in non-eastern China and those that depend heavily on fixed asset investment for local economic development. Finally, our analysis of potential policy interventions to mitigate EPU-induced agricultural land loss suggests that strengthening market-oriented reforms and reducing province-level quotas on agricultural land conversion can effectively offset the impact of rising EPU. Full article

The transition to sustainable, innovation-driven economies has become a global imperative, particularly for resource-dependent regions like the Middle East, where environmental challenges, fossil fuel reliance, and economic diversification pressures intersect. In this context, green innovation plays a pivotal role in mitigating environmental degradation while supporting long-term economic growth. This study examines the short-term and long-term drivers of green innovation across 13 Middle Eastern countries from 1990 to 2023, with a focus on environmental governance, environmental pollution, economic growth, and natural resource abundance. Using a balanced panel dataset, this study applies Frees, Friedman, and Pesaran CSD tests to address cross-sectional dependency and second-generation unit root tests for data stationarity. Both first- and second-generation cointegration tests confirm long-run relationships among variables. The empirical analysis employs the cross-sectional autoregressive distributed lag (CS-ARDL) model, alongside Pooled Mean Group (PMG-ARDL), Average Mean Group (AMG), and Common Correlated Effects CCEMG estimators, ensuring robustness. The findings indicate that, in the long term, environmental governance, economic growth, population size, and natural resource abundance significantly promote green innovation, with respective coefficients of 0.3, 0.01, 0.02, and 0.4. Conversely, human development and environmental pollution exert a negative influence on green innovation, particularly over the long term. These results suggest that, while economic and governance factors drive innovation, human capital development may prioritize immediate growth over sustainability, and pollution may hinder long-term innovation. Enhancing environmental governance, accelerating renewables, using strategic resource revenue for green projects, integrating green growth, and regional collaboration can position Middle Eastern economies as green innovation leaders. Full article

Problem behaviors and the risk of learning disorders in early childhood carry significant implications for children’s future development. Understanding the relationship between parenting stress and these developmental outcomes may inform the design of effective interventions to promote healthy child development. The present longitudinal study investigated the association between parenting stress and preschoolers’ risk of learning disorders, specifically focusing on the mediating role of problem behaviors. Data were collected at two time points, approximately 6 months apart, from 284 preschool-aged children and their parents (mean age of children at Time 1 = 56.64 months; 53.17% of them were girls). Parents completed standardized assessments of parenting stress, children’s problem behaviors, and the risk of learning disorders. An autoregressive cross-lagged panel model within a half-longitudinal framework was employed to test the hypothesized mediation model. Results revealed that parenting stress had a direct effect on both children’s problem behaviors and their risk of learning disorders. Moreover, children’s problem behaviors partially mediated the longitudinal association between parenting stress and learning disorder risk. Specifically, the indirect effect size was statistically significant (β = 0.022, p = 0.025), indicating that increased parenting stress contributed to approximately a 2.2% increase in the risk of learning disorders through elevated problem behaviors. Theoretically, these findings underscore the critical role of child behavioral adjustment as a mechanism through which parenting stress may influence developmental risk. The results highlight the potential benefits of reducing parenting stress and addressing children’s behavioral difficulties to prevent early learning problems. However, the study relied exclusively on parent-reported data, which may introduce shared method variance and reporting bias; future research should incorporate multiple informants and objective behavioral assessments. Full article

Objectives: Knee osteoarthritis (KOA) rehabilitation aims to assess the impact of pain reduction on kinesiophobia and outpatient welfare, emphasizing the interconnectedness of biopsychosocial factors in the rehabilitative process. Methods: The study involved a sample of KOA patients undergoing outpatient physical therapy. Forty patients (n = 40), aged 40–88, with acute or chronic knee osteoarthritis (Kellegren-Lawrence staging score I–II–III) were collected in Patients undergoing physical therapy using quantum molecular resonance (QMR) technology. The analysis employed a cross-lagged panel model to examine the relationships between perceived pain, kinesiophobia, and quality of life during the rehabilitative plan. Results: Rehabilitation significantly reduced pain levels and kinesiophobia while improving the quality of life for outpatients. The analysis demonstrated that pain reduction had a substantial causal influence on kinesiophobia and life conditions, both immediately following treatment and during follow-up. Conclusions: The findings underscore the importance of considering biopsychosocial factors in KOA rehabilitative treatment, highlighting the dynamic interplay between pain perception, kinesiophobia, and quality of life throughout the rehabilitation process. Full article

The COVID-19 pandemic may have disproportionately affected forcibly displaced people due to parallel uncertainties such as visa insecurity and family separation. This study explicitly examined whether different sources of uncertainty contributed in specific ways to increased psychological symptoms for refugees during the pandemic. A large cohort of 733 refugees and asylum seekers settled in Australia completed a mental health survey in June 2020 (T1) and 12 months later in June 2021 (T2). Using cross-lagged panel modelling, we tested changes in post-traumatic stress (PTS), depression and anxiety symptoms, visa status, family separation and COVID-19 uncertainty stress, and the contribution of intolerance of uncertainty (trait prospective and inhibitory), controlling for age, sex, trauma exposure, language, and time in Australia. Visa status and family separation stress at T1 predicted increased depression (bidirectional pathways) and PTS symptoms at T2 (unidirectional pathways), respectively. Visa status uncertainty at T1 was also associated with increases in COVID-19 and family separation stress at T2. Intolerance of uncertainty showed limited associations with symptoms and stressors. Findings demonstrate that different forms of refugee uncertainty had specific impacts on psychopathology during the first year of the COVID-19 pandemic. Refugees facing diverse kinds of stress may benefit from individual, community, and policy level support targeted to their specific circumstances and mental health needs during future crises. Full article

Background/Objectives: The problematic use of video games (PG), social media (PSMU), and alcohol (PAU) is widespread from adolescence onwards. According to theoretical models, personality traits are relevant for these problematic behavioral patterns; however, only very few longitudinal studies are available. The aim of this longitudinal study was to investigate for the first time whether Big Five personality dimensions (BFPD) are predictors for the development of PG, PSMU, or PAU, or conversely, whether these behavioral patterns are predictive of the BFPD. Methods: Surveys were conducted over three measurement time points (t1 to t3) using standardized instruments on PG, PSMU, PAU, and BFPD. A total of 492 young people (average age: 16.83 years, 44.1% female and 55.9% male) were investigated at t1, 475 persons (mean age: 17.93 years, 44.8% female, 55.2% male) at t2, and 443 cases (average age: 20.11 years, 45.1% female, 54.9% male) at t3. We calculated cross-lagged panel analyses over three measurement points (structural equation modeling). Results: Of the BFPD, lower Conscientiousness and lower Extraversion were predictors of PG, higher Negative Emotionality (Neuroticism) predicted PSMU, and lower Agreeableness was a predictor of PAU. Only PAU was a predictor of a Big Five dimension (lower Agreeableness). Conclusions: The findings were not consistent across the measurement points (t1 to t2 vs. t2 to t3) with one exception in an explorative analysis: problematic gaming was a predictor for both problematic social media use and problematic alcohol use in youth (t1 to t2 and t2 to t3). The influence of lower Conscientiousness was confirmed for PG and initial longitudinal results for PSMU and PAU were observed. These novel findings could be considered when developing or revising preventive measures. Full article

In recent years, the importance of developing the tourism sector and diversifying income sources has grown in the Gulf Cooperation Council (GCC) countries. This paper estimates the impact of tourism industry development on income equality in the GCC region from the first quarter of 2014 to the fourth quarter of 2023. Furthermore, this paper evaluates the existence of the Kuznets curve and its implications for income distribution. To achieve these objectives, this study employs panel cointegration tests and the cross-sectionally augmented autoregressive distributed lag (CS-ARDL) model. The dataset combines quarterly data from the World Bank and national statistical agencies, including indicators such as tourism revenue, international arrivals, government effectiveness, and education expenditure (used as a proxy for income equality). The results indicate that tourism revenue (TOU) has a significant and positive long-run effect on income equality (0.14%). In the short run, the squared term of tourism revenue (TOU2) becomes significant and positive (0.01%), but the findings do not support the Kuznets curve hypothesis. Furthermore, the number of international travelers (TRAV) has a negative and significant effect in the long run, while government effectiveness (GE) is negative and significant in both the long and short run. A key limitation of the study lies in the use of education expenditure as a proxy for income equality, due to the unavailability of consistent inequality metrics across the GCC countries. Full article

Objectives: The longitudinal relationship between sarcopenia, depression, and cognitive impairment has been insufficiently studied in China. This study aimed to characterize the association between sarcopenia and cognitive impairment and the mediating role of depression using nationally representative data. Methods: 7091 middle-aged and older adults were analyzed from the China Health and Retirement Longitudinal Study (CHARLS) across three waves (2011, 2013, and 2015). Cognitive trajectories were modeled using a group-based trajectory model (GBTM), while multivariable ordinal logistic regression was employed to evaluate the associations with cognitive trajectories. The mediating role of depressive symptoms was assessed through bootstrap mediation analysis and cross-lagged panel modeling (CLPM). Results: Trajectory analysis identified four distinct cognitive function patterns: “High and Stable” trajectory (n = 2563, 36.73%), “Middle and Stable” group (n = 2860, 38.76%), “Middle and Decline” group (n = 1280, 18.62%), and “Low and Decline” group (n = 388, 5.90%). Sarcopenia and depressive symptoms were associated with the “Low and Decline” trajectory of cognitive function [Overall: OR (95%CI) of 0.315 (0.259, 0.382) and 0.417 (0.380, 0.459)]. Mediation analysis indicated that depressive symptoms accounted for 11.78% of the relationship between sarcopenia and cognitive trajectories. The cross-lagged panel modeling demonstrated a significant mediation pathway of “T1 cognitive function → T2 depression → T3 sarcopenia”, with T2 depression mediating 5.31% of the total effect. Conclusions: Our study identified four distinct cognitive trajectories, with sarcopenia and depressive symptoms significantly associated with worse cognitive trajectories over time. Depressive symptoms mediated the relationship between sarcopenia and cognitive function. This highlights the importance of integrating mental health and physical health interventions to address the interconnected risks associated with aging. Full article

Background/Objectives: Adolescence is a critical period for mental health, with depression increasing rapidly and often leading to lifelong consequences. In recent decades, the prevalence of elevated depressive symptoms among adolescents has steadily risen, making it a significant public health concern. While research supports the benefits of mindfulness-based practices in reducing adolescent depressive symptoms, the role of trait mindfulness remains underexplored. Although some studies suggest a link between trait mindfulness and lower depressive symptomatology, a longitudinal perspective could provide deeper insights into this relationship. Given adolescents’ heightened vulnerability to mental health issues, understanding the potential causal link between trait mindfulness and depression is crucial for both prevention and intervention efforts. Methods: This study examines the relationship between mindfulness and depression in a three-wave longitudinal study of 1618 secondary school students (Males: N = 671, M = 16.4 years, SD = 0.60; Females: N = 947, M = 16.3 years, SD = 0.65) using a random intercept cross-lagged panel model. Results: Findings indicate that mindfulness and depression share a substantial proportion of variance (r = 0.48) at the stable trait level, suggesting that sustained attentional focus, a hallmark of mindfulness, is consistently associated with fewer depressive symptoms. At the within-person level, momentary deviations from stable mindfulness levels in the first and second waves were linked to lower depressive symptoms in subsequent waves (β = −0.21, p = 0.016; β = −0.44, p = 0.03, respectively). These findings suggest that even temporary increases in mindfulness may provide additional protection against depression. Conclusions: Overall, the results suggest that trait mindfulness is associated with a reduced risk of developing depressive symptoms at both the between-person and within-person levels. Specifically, adolescents with higher stable levels of mindfulness tend to report fewer depressive symptoms over time, and even momentary increases in mindfulness beyond an individual’s typical level are linked to reductions in subsequent depressive symptoms. These findings highlight the potential of mindfulness-based interventions in mitigating adolescent depression and underscore the importance of cultivating mindfulness as a protective factor during this critical stage of development. Full article

From a positive psychological standpoint, access to decent work extends beyond fulfilling economic needs: it is a fundamental human right. While significant efforts have been made to examine the societal implications of decent work, surprisingly little attention has been directed toward its impact on individual employees. Integrating the Conservation of Resources theory and the Self-Determination theory, this study aims to advance understanding of this topic by exploring the dynamic and reciprocal interplay among decent work, flourishing (namely, an indicator of strong individual well-being), and job performance. Data were collected from 426 Italian employees (62.7% female) by administering a survey in three waves with a one-month lag. A Cross-Lagged Panel Model approach was employed. The findings highlight that (a) decent work is positively associated with later flourishing; (b) flourishing positively affects later job performance; (c) flourishing fully mediates the relationship between decent work and job performance; and (d) the relationship between flourishing and decent work is reciprocal, with flourishing also enhancing the perception of decent work over time. Our study contributes to advancing the understanding of decent work and its implications, demonstrating the importance of promoting a decent work environment to foster flourishing and performance. This creates a mutually reinforcing cycle of well-being and productivity. Full article

Contemporary education systems face the challenge of fostering academic achievement while also keeping students engaged and maintaining their well-being. Previous research has shown that student well-being, school engagement, and academic achievement are related. However, both student well-being and school engagement tend to decline over the school years, particularly after the transition to secondary school. To investigate how the three constructs are reciprocally related over time, the present study employed a longitudinal random intercept cross-lagged panel model using data from N = 757 Swiss students over three years of lower secondary school. The results revealed reciprocal between-person effects between student well-being, school engagement, and academic achievement across measurement points. Unexpected within-person effects between the measurement points were found. The findings suggest that students with higher well-being are also more engaged and achieve higher grades, but the associations between the constructs may be influenced by third variables. Full article

Global warming is projected to intensify the impact of droughts. Although numerous studies have examined carbon emissions and droughts, few have explored their interactive effects or the spatial spillover effects of carbon emissions on droughts. To address this gap, we use panel data from 2012 to 2021 for China’s arid, semi-arid, and potentially semi-arid regions in the future. First, we estimate city-level carbon emissions data for the study areas based on nighttime light data. We then apply a Random Intercept Cross-Lagged Panel Model to investigate the temporal causal relationship between carbon emissions and droughts. Finally, we employ a dynamic spatial Durbin model with spatial and temporal fixed effects, incorporating one-period-lagged carbon emissions to assess both direct and spatial spillover effects on droughts. The results show that carbon emissions have a statistically significant cross-temporal and spatial impact on droughts, with both current and one-period-lagged carbon emissions exhibiting substantial spatial spillover effects on drought conditions. This research offers valuable insights for cities seeking collaborative approaches to mitigate both carbon emissions and drought risks. Full article

Adolescents are especially vulnerable to experiencing depression and anxiety. This longitudinal study, from within- and between-person perspectives, explores how self-esteem relates to depressive and anxiety symptoms in Chinese adolescents and identifies the mediating factors impacting this relationship. Data were collected from 1025 junior and high school students in Southwestern China at three points over an 18-month period. This study utilized both traditional and random-intercept cross-lagged panel models to understand the dynamic developmental relationships. The general occurrence of depressive and anxiety symptoms increased longitudinally, with a more pronounced upward trend among female students. Between-person level analyses indicated bidirectional associations among self-esteem, life satisfaction, and depressive and anxiety symptoms. Moreover, life satisfaction emerged as a significant mediator. At the within-person level, self-esteem uniquely predicted both life satisfaction and subsequent depressive and anxiety symptoms. This study clarifies the longitudinal interplay between these constructs. Self-esteem, which denotes internal self-assessments, and life satisfaction, which denotes external evaluations of life, both significantly buffer the emergence of depressive and anxiety symptoms. Full article