Search

Purpose – This paper aims to explore the relationship between exports, financial development and economic growth in case of Pakistan. Design/methodology/approach – The autoregressive distributed lag bounds testing approach to cointegration and error correction model are applied to test the long-run and short-run relationships, respectively. The direction of causality between the variables is investigated by the vector error correction model Granger causality test and robustness of causality analysis is tested by applying innovative accounting approach. Findings – The analysis confirms cointegration for the long-run relation between exports, economic growth and financial development in case of Pakistan. The results indicate that economic growth and financial development spur exports growth in Pakistan. The causality analysis reveals feedback hypothesis that exists between financial development and economic growth, financial development and exports, and, exports and economic growth. Originality/value – This study provides new insights for policy makers to sustain exports growth by stimulating economic growth and developing financial sector in Pakistan. [ABSTRACT FROM AUTHOR]

This paper explores the gender differentiated effects of trade liberalisation in Bangladesh. It is found that trade liberalisation has created more than 5 times higher job for women than men in the Ready Made Garments (RMG) sector. However, female workers are more discriminated than the male counterparts in terms working condition. Nationwide, women's wage is much lower than men's wage for all kinds of labour. However, income gap between male and female workers seems lower in the RMG sector. The low level of education and skill of female workers, male's longer working time, etc. are the main factors for this gender differentiated income. [ABSTRACT FROM AUTHOR]

This paper attempts to identify the factors that affect Bangladesh's exports. The panel data estimation technique and a generalized gravity model have been used to analyze Bangladesh's export trade pattern. A theoretical justification for using the gravity model in the analysis of bilateral trade has been reaffirmed. The estimated results reveal that the main contributors to Bangladesh's exports are the exchange rate, partner countries' total import demand and the openness of the Bangladesh economy. All these factors affect the country's exports positively. Transportation costs have negative but insignificant effect on Bangladesh's exports. The country specific effects show that neighboring countries' influence on the Bangladesh's exports is more than the influence of other distant countries. Therefore, Bangladesh should reduce trade barriers, pursue competitive devaluation of its currency, improve product quality and increase product varieties. [ABSTRACT FROM AUTHOR]

The article analyzes the composition, performances, and trends of foreign trade of Bangladesh. It states that Bangladesh had the highest growth rate of export-gross domestic product (GDP) ratio among the South Asian Association for Regional Cooperation (SAARC) countries from 1980 to 2002. Findings show that the import payments grew with export earnings and the import growth was not as robust as export growth. Commodity and market concentrations are considered as the prominent features for the exports in Bangladesh. The country is advised to invest in both yarn and fabric manufacturers.

This study explores the dynamic relationship of energy consumption, international trade and foreign direct investment (FDI) with economic growth for a panel of BRICS and ASEAN countries over the period of 1990–2017 within a multivariate framework. The panel co-integration test, panel quantile regression method, impulse response function and heterogeneous panel causality test are used for empirical investigation. The results reveal the existence of a long-run equilibrium relationship among the variables. In the long run, the effects of energy consumption, international trade, capital and FDI are found to be positive and significant on the economic growth of these countries. The heterogeneous panel causality test results indicate bidirectional causality between energy consumption and economic growth, labour force and economic growth, international trade and energy consumption, and labour force and international trade. A unidirectional causality from economic growth to international trade and FDI, and from international trade and energy consumption to FDI is also identified. The implications of these results are also discussed. • A dynamic link of energy use, international trade and economic growth is explored. • Panel data of BRICS and ASEAN countries are considered for this study. • Energy use and international trade positively affect economic growth. • Effect of energy is three times more than that of trade on economic growth. • A bidirectional causality between energy use and economic growth is found. [ABSTRACT FROM AUTHOR]

Despite the positive effect of industrialisation on health and quality of life indicators across the globe, it is also responsible for the release of chemical toxins into the environment. Thus, the pursuit of economic development through industrialisation has equally nurtured numerous environmental disasters with accompanying catastrophic health effects. China is one of the countries with high carbon emissions, but new policy changes have resulted in massive gains in controlling environmental damage while enhancing the environment-related quality of life. This paper combines the six-step integrative review strategy with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) strategy to determine appropriate exclusion and inclusion criteria to explore the available stock of literature. We note that overall pollution in China fell by 10% between 2014 and 2019 whereas the average fine particulate matter (PM2.5) concentration of 93 micrograms per cubic meter reduced by 47% by 2019. Beijing exhibited the top 200 most polluted cities in 2019 after recording the lowest PM2.5 ever. All cities that implemented the 2012 Environmental Air Quality Standards reduced the average concentration of PM2.5 and sulfur dioxide by 42–68% by the end of 2018. Improvements in freshwater quality and a decline in water pollution levels were recorded despite increases in economic growth, urbanisation, energy use, trade openness, and agriculture, all of which are major stimulants of pollution. Deterring environmental tariff, tight ecological inspections, closing down of non-compliant producers, heavy investment in environmental control, and the ambitious five year-plan to revitalise renewable energy goals emanating from China's ecological civilisation masterplan are responsible for these improvements in air and water pollution. China needs to work more aggressively to consolidate the gains already made in order to quicken the actualisation of the ecological civilisation and beautiful China dream. [ABSTRACT FROM AUTHOR]

Forcipomyia taiwana, a bloodsucking midge that is one of the most irritating biting pests in Taiwan, has raised widespread public concern. However, we have little information about the extent to which landscape factors affect their potential habitats. As a result, landscape professionals do not have enough information to implement preventive strategies to control midges. The purpose of this study is to investigate the relationship between landscaping and algae growth for larval breeding sites of Forcipomyia taiwana. The intent is to determine the environmental strategies that make the planned landscape unsuitable for midges to breed. GIS based on data collected from 16 constructed landscape sites (317,187 m2 in total) was utilized to spatially examine the relationship between the occurrence of the algae for midge breeding sites and the ground surface types and planting characteristics in each landscape. The results revealed that the potential midge habitats can be controlled through careful selection of the ground surface, the improvement of the site drainage, and choosing plants with the appropriate characteristics. Apart from choosing the appropriate type of paving surface, the integrity of the paving installation and the coverage of the ecological surface also influence prevention efficacy. [ABSTRACT FROM AUTHOR]

Despite a substantial decline in child mortality globally, the high rate of under-five mortality in Nigeria is still one of the main public health concerns. This study investigates inequalities in geographic and socioeconomic factors influencing survival time of children under-five in Nigeria. This is a retrospective cross-sectional quantitative study design that used the latest Nigeria Demographic Health Survey (2018). Kaplan–Meier survival estimates, Log-rank test statistics, and the Cox proportional hazards were used to assess the geographic and socioeconomic differences in the survival of children under-five in Nigeria. The Kaplan–Meier survival estimates show most under-five mortality occur within 12 months after birth with the poorest families most at risk of under-five mortality while the richest families are the least affected across the geographic zones and household wealth index quintiles. The Cox proportional hazard regression model results indicate that children born to fathers with no formal education (HR: 1.360; 95% CI 1.133–1.631), primary education (HR: 1.279; 95% CI 1.056–1.550) and secondary education (HR: 1.204; 95% CI 1.020–1.421) had higher risk of under-five mortality compared to children born to fathers with tertiary education. Moreover, under-five mortality was higher in children born to mothers' age ≤ 19 at first birth (HR: 1.144; 95% CI 1.041–1.258). Of the six geopolitical zones, children born to mothers living in the North-West region of Nigeria had 63.4% (HR 1.634; 95% CI 1.238–2.156) higher risk of under-five mortality than children born to mothers in the South West region of Nigeria. There is a need to focus intervention on the critical survival time of 12 months after birth for the under-five mortality reduction. Increased formal education and target interventions in geopolitical zones especially the North West, North East and North Central are vital towards achieving reduction of under-five mortality in Nigeria. [ABSTRACT FROM AUTHOR]

The integration of Green Logistics (GL) and Circular Economy (CE) have been recognized as critical concepts for achieving sustainable economic and environmental performance. However, there is a lack of understanding on the combine impacts of CE and GL in alleviating CO 2 emissions in pioneering nations relying on these concepts. This study examines the role of CE and GL sustainable in curbing CO 2 emissions of 13 developed European Union (EU) countries from 2000 to 2020. The neoclassical growth and IPAT models, including the pool mean autoregressive distributed lags (PMG-ARDL) and the vector error correction model (VECM) are employed to estimate the short- and long-run effects and heterogeneous causal relationships. The long-run results reveal that CE and GL can mitigate CO 2 (carbon dioxide) emissions, while the generation of municipal waste (GMW) has negative impact on the environment. Moreover, the long-run relationship between economic growth, CE, GL, and GMW validates the Environmental Kuznets Curve (EKC) hypothesis. The study also confirms a bidirectional causality between CE, GL, and CO 2 emissions over the long run. This study proposes a model for assessing the impact of CE and GL initiatives on environmental performance and sustainability in both pioneering developed regions and emerging economies yet to embrace green growth concepts. [Display omitted] • The Circular economy (CE) and Green Logistics (GL) mitigate CO 2 emissions. • Neoclassical growth and IPAT models can explain green growth impacts. • Waste generation is correlated with GDP growth and CO 2 emissions. • Green logistics has a positive effect on GDP growth. • Circular economy, Green Logistics, and CO 2 emissions have a causal relationship. [ABSTRACT FROM AUTHOR]

Renewable energy sources are gaining significant interest due to their potential to decrease pollution resulting from the utilization of fossil fuels for generating electricity that is environmentally friendly. In this study, an innovative combined cooling, heating, and power cycle that makes use of geothermal, solar, and wind energy was examined. The 100 residential units are investigated throughout the year by a number of different subsystems, including photovoltaic-thermal panel, Wind Turbine, Steam Turbines, Fuel Cells, Heat pumps, Reverse Osmosis, Electrolyzer, batteries, and a hydrogen storage tank. The model of six European cities "Marseille, Monaco, Montpellier, Naples, Perpignan and Rome" located in Italy and France was the subject of this research. Transient assessment and the response surface method were employed in this study's optimization in TRNSYS. With the help of design of experiments, a few simulation scenarios were created, and response surface method was then utilized to examine the outcomes. Based on the findings, the optimal system greatly decreased the yearly life cycle costs of the boiler, the thermal comfort rating, the overall cost of consuming electricity, and the cost of natural gas consumption. The results demonstrate that the suggested system efficiency is increased by the addition of hydrogen storage and battery, and that the employment of fuel cells and WTs stabilizes the system's power output at all times of the day and night. According to the findings, Montpellier was the best city in terms of electricity generation, cost, and natural gas usage. The total amount of energy generated by the urban system over the course of a year is 425690.937 kWh/year, of which 121217.314 kWh/year are sold to the grid and the remainder is used to power homes. The annual use of natural gas is 47547.706 m3/year, while the annual production of freshwater is 3756.07 m3/year. The findings of the optimization showed that Montpellier's system, which includes 185 solar panels and 6 wind turbines, performs better than other systems. [ABSTRACT FROM AUTHOR]

• Estimates returns to education in rural Bangladesh. • Simultaneously addresses endogeneity and sample selection bias problems. • Returns to tertiary education are greater than those to primary or secondary. • In agricultural sector, returns to tertiary education are similar to other levels. This study estimates the private average rate of return (ARR) and internal rate of return (IRR) to education in rural Bangladesh. Using data from the Bangladesh Integrated Household Survey (BIHS) 2015, we estimate average returns using the Mincerian method and IRR using the full method, accounting for both the direct and indirect costs of schooling. To account for endogeneity and selection bias, we use parental education as an instrumental variable and apply the Heckman correction method. We find an average return of 18 %, an IRR of 12 % for tertiary education, 4.86 % for secondary, and 5.24 % for primary. In the agricultural sector specifically, however, returns to tertiary education are more in line with primary and secondary education. [ABSTRACT FROM AUTHOR]

Background: Adverse childhood experiences (ACEs) have a profound impact on individuals, shaping their long-term health and life opportunities. This study delves into the complex ties between ACEs and the socioemotional development of Australian children and youth by examining the relationships between adverse childhood experiences and externalizing, internalizing, and prosocial behaviors., Methods: This study utilized data from the Longitudinal Study of Australian Children and employed the generalized estimating equation method to investigate the relationships between adverse childhood experiences and externalizing, internalizing, and prosocial behaviors in Australian children and adolescents., Results: Adverse childhood experiences such as physical punishment, hostile parenting, parental conflicts, separation, financial strain, and parental mental health issues increased the risk of externalizing and internalizing behaviors while reducing prosocial behaviors. The risk increases with the number of ACEs, as evidenced by the incidence ratio (IR); for example, for externalizing behaviors, an ACEs score of one leads to IR = 1.69, while an ACEs score of 4 results in IR = 3.34. Similar trends were observed for internalizing and prosocial behaviors., Limitations: The presence of imbalanced longitudinal data, arising from variations in the number of observations across different time points, challenges robust inferences. Furthermore, this study investigates the relationship between ACEs and behavioral problems, without establishing causality. Consequently, the results should be interpreted with caution., Conclusions: The findings of this study highlight that adverse childhood experiences significantly influence behavioral outcomes in children and adolescents. These findings underscore the critical need for early detection and intervention to mitigate the consequences of traumatic childhood experiences., Competing Interests: Declaration of competing interest The authors declare no financial and personal competing interests., (Copyright © 2024. Published by Elsevier B.V.)

It is crucial to evaluate the link between financial development and environmental quality in order to meet the environmental sustainability goals. Therefore, this scholarly work seeks to validate the of an inverted U-shaped relationship between financial development and environmental quality in Australia, which modifies the conventional theory of the Environmental Kuznets Curve. For the purposes of empirical analysis, we utilized the Autoregressive Distributed Lag bound test over the period from 1980 to 2021 for empirical investigation. Our findings confirm the existence of a Financial Environmental Kuznets Curve (FEKC) in the long-run, while the short-run results do not support its establishment. This means that achieving a financial development level of 0.0458 could help attain the environmental wellbeing in Australia. Similarly, the estimation outcomes affirm that the conventional Environmental Kuznets Curve exists in the long-run but not in the short-run. Our results also indicate that energy usage negatively impacts environmental quality, while foreign direct investments support the pollution halo effect in the long-run but do not exhibit this effect in the short-run. The roles of urbanization and trade openness are positive in enhancing quality of environment in the short-run. However, the effect of the carbon tax on determining environmental quality in Australia is deemed insignificant. In conclusion, this study offers vital policy recommendations to help achieve the Australian government's commitment to climate change., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Ltd.)

Background: Dietary habits are pivotal for population health and well-being, yet remain a pressing global issue, particularly in Sub-Saharan Africa (SSA), where economic instability and institutional challenges exacerbate dietary problems. Despite extensive research, there is a notable gap in the literature regarding the direct and interactive effects of institutional quality and inflationary shocks on dietary habits., Methods: This study delves into these complex interplays across 44 SSA nations from 2002 to 2022. Employing an innovative entropy method (EM) and the generalized autoregressive conditional heteroskedasticity (GARCH) modeling, the study introduces an inclusive institutional quality index and an inflationary shock predictor as crucial determinants of dietary habits in the literature., Results: The results from the panel-corrected standard error (PCSE) method and feasible generalized least squares (FGLS) model reveal that per capita GDP, school enrollment rate, government expenditures, globalization index, and urbanization are positively associated with population dietary habits, while inflationary shock, food insecurity, and unemployment rate exert negative influences. Notably, institutional quality acts as a catalyst, amplifying the positive effects of the former group and absorbing the negative impacts of the latter on population dietary habits. Additionally, a dynamic panel causality analysis confirms a bidirectional causality nexus between population dietary habits and all variables, except for inflationary shocks, which demonstrate a unidirectional causality link., Conclusions: These findings carry significant policy implications, underscoring the complex dynamics between institutional quality, inflationary shocks, and dietary habits in the region. The bidirectional causality highlights the need for holistic interventions that address economic, social, and institutional factors simultaneously. Moreover, the unidirectional causality of inflationary shocks on dietary habits suggests that stabilizing inflation is critical to protecting dietary habits. These results provide critical insights for policymakers to design targeted interventions aimed at improving nutrition, bolstering institutional frameworks, and ensuring public health resilience in the face of economic and social shocks.

Background: Low birth weight is recognized as a pivotal risk factor affecting child survival and growth. Although Bangladesh has made commendable progress in public health, an infant mortality rate of 38 per 1000 live births and a 16% prevalence of low birth weight remain significant concerns compared to other developing countries. This situation poses a significant challenge for the formulation of future health policies in Bangladesh. As a result, this study aims to identify potential risk factors contributing to low birth weight and infant mortality among children in Bangladesh., Methods: The data is extracted from the 2014 Bangladesh Demographic and Health Survey. The response variables are infant mortality and low birth weight. In the bivariate analysis, Log-rank tests and Chi-square tests of independence were conducted. Cox proportional hazards and binary logistic regression models were utilized to determine the impact of risk factors on infant mortality and low birth weight., Results: This study identified several significant factors associated with children's low birth weight, including wealth index, parental education, birth order, twin births, mother's body mass index, and child sex. Additionally, wealth index, parental education, twin status, media exposure, birth order, antenatal care visits, prenatal care assistance, and low birth weight were identified as potential risk factors for infant mortality in Bangladesh., Conclusion: This study revealed that maternal and child characteristics, along with knowledge about child health care during pregnancy, can potentially reduce the risk of low birth weight and infant mortality among children in Bangladesh. To improve child health and survival, policymakers should prioritize community-based health education programs, and encourage parents to seek healthcare information from institutional medical facilities during pregnancy and after birth., Competing Interests: The authors declare no conflict of interest., (© 2024 The Author(s). Health Science Reports published by Wiley Periodicals LLC.)

The escalating phenomenon of environmental degradation is an urgent global concern, imperiling ecosystems and hindering the prospects for sustainable development on a planetary scale. Therefore, this study aims to explore the intricate interplay between renewable energy (RE) and ecological footprint (EF), considering the conditional impact of fiscal capacity (FIC), human development (HDI), institutional quality (IQI), and population density (PDN). Drawing on panel data encompassing 74 developing countries from 2000 to 2022, the study employs a dynamic panel threshold regression method, both with and without an instrumental variable approach. The findings unveil a non-linear nexus between RE and EF, revealing significant threshold values for FIC (1.870), HDI (0.736), and IQI (0.311), above which RE showcases its efficacy in mitigating EF. Conversely, when these predictors dip below the thresholds of FIC (1.391), HDI (0.655), and IQI (0.2545), the impact of RE on FE becomes insignificant. Moreover, the study introduces PDN as an additional threshold variable in the analysis, pinpointing that the effectiveness of RE in reducing EF hinges on PDN being below a threshold value of 263.144; however, above a threshold value of 276.98, the influence of PDN on the RE-FE nexus diminishes. The findings underscore the complexity of policy landscapes in developing countries. They suggest that while promoting renewable energy is pivotal for environmental sustainability, it is equally imperative to bolster existing environmentally friendly fiscal capacity, advance human capital, enhance institutional quality, and craft effective population distribution policies., Competing Interests: The authors declare that they have no competing financial interests to declare., (© 2024 The Authors.)

Air pollution poses a persuasive threat to global health, demonstrating widespread detrimental effects on populations worldwide. Exposure to pollutants, notably particulate matter with a diameter of 2.5 µm (PM 2.5 ), has been unequivocally linked to a spectrum of adverse health outcomes. A nuanced understanding of the relationship between them is crucial for implementing effective policies. This study employs a comprehensive investigation, utilizing the extended health production function framework alongside the system generalized method of moments (SGMM) technique, to scrutinize the interplay between air pollution and health outcomes. Focusing on a panel of the top twenty polluted nations from 2000 to 2021, the findings yield substantial insights. Notably, PM 2.5 concentration emerges as a significant factor, correlating with a reduction in life expectancy by 3.69 years and an increase in infant mortality rates by 0.294%. Urbanization is found to increase life expectancy by 0.083 years while concurrently decreasing infant mortality rates by 0.00022%. An increase in real per capita gross domestic product corresponds with an improvement in life expectancy by 0.21 years and a decrease in infant mortality rates by 0.00065%. Similarly, an elevated school enrollment rate is associated with a rise in life expectancy by 0.17 years and a decline in infant mortality rates by 0.00032%. However, a higher population growth rate is found to modestly decrease life expectancy by 0.019 years and slightly elevate infant mortality rates by 0.000016%. The analysis reveals that per capita greenhouse gas emissions exert a negative impact, diminishing life expectancy by 0.486 years and elevating infant mortality rates by 0.00061%, while per capita energy consumption marginally reduces life expectancy by 0.026 years and increases infant mortality rates by 0.00004%. Additionally, economic volatility shock presents a notable decrement in life expectancy by 0.041 years and an increase in infant mortality rates by 0.000045%, with inflationary shock further exacerbating adverse health outcomes by lowering life expectancy by 0.70 years and elevating infant mortality rates by 0.00025%. Moreover, the study scrutinizes the role of institutional quality, revealing a constructive impact on health outcomes. Specifically, the institutional quality index is associated with an increase in life expectancy by 0.66% and a decrease in infant mortality rates by 0.0006%. Extending the analysis to examine the nuanced dimensions of institutional quality, the findings discern that economic institutions wield a notably stronger positive influence on health outcomes compared to political and institutional governance indices. Finally, the results underscore the pivotal moderating role of institutional quality in mitigating the deleterious impact of PM 2.5 concentration on health outcomes, counterbalancing the influence of external shocks, and improving the relationships between explanatory variables and health outcome indicators. These findings offer critical insights for guiding evidence-based policy implications, with a focus on fostering resilient, sustainable, and health-conscious societies., (© 2024. The Author(s).)

Background: Food insecurity and environmental degradation pose significant threats to health outcomes in South Asia, necessitating effective policy interventions. Therefore, this study aims to examine the impact of food insecurity and environmental degradation on health outcome indicators amidst global inflationary shocks and institutional quality arrangements. Additionally, it aims to explore the intricate moderating role of institutional quality on the relationship between food insecurity, endogenous variables, and external shocks., Method: In alignment with the study's objectives, a set of panel data spanning from 2000 to 2021 is compiled for South Asia. The study introduces a novel variable representing inflationary shock, crafted through the integration of inflation datapoints and the application of the generalized autoregressive conditional heteroskedasticity model. Additionally, a distinctive aggregate institutional quality index is formulated, drawing from six key measures of the Worldwide Governance indicators. To scrutinize the effects of food insecurity, environmental degradation, and other explanatory variables, the study employs the two-step system generalized method of moment technique, offering a robust analytical approach to uncover complex relationships and dynamics in the region., Results: The results indicate that the prevalence of undernourishment, inequality in per capita calorie intake, and CO 2 emissions significantly reduce life expectancy and increase mortality rates. Additionally, it shows that per capita kilocalorie supply, per capita GDP, per capita health expenditures, and urbanization are statistically significant for increasing life expectancy and decreasing mortality rates. The findings reveal that inflationary shocks severely affect food insecurity and environmental factors, exerting further pressure on contemporary life expectancy and mortality rates. In rebuttal, the institutional quality index is found to have significant effects on increasing and decreasing life expectancy and mortality rates, respectively. Furthermore, the institutional quality index is effective in moderating the nexus between food insecurity, environmental degradation, and health outcomes while also neutralizing the negative impact of inflationary shocks on the subject., Conclusion: The results verify triple health constraints such as food insecurity, environmental factors, and economic vulnerability to global shocks, which impose severe effects on life expectancy and mortality rates. Furthermore, poor institutional quality is identified as a hindrance to health outcomes in South Asia. The findings suggest specific policy implications that are explicitly discussed., (© 2024. The Author(s).)

Prior literature is substantive in highlighting the nexus between pollutant and socio-economic predictors; however, the role of human interaction has not been sufficiently explored. Thus, the present study examines the validity of the environmental Kuznets Curve (EKC) hypothesis in the presence of energy consumption, overpopulation, and human capital index in five South Asian countries. It employs fixed effects, random effects, and dynamic panel causality techniques with a set of panel data from 1972 to 2021. The baseline results validate the existence of the EKC hypothesis in the recipient panel. Nevertheless, the findings reveal that energy consumption and population density have positive effects, while human capital has negative impacts on CO 2 emissions. Furthermore, the study observes that energy consumption and per capita GDP have a significant causal link with CO 2 emissions, whereas CO 2 emissions are evident to have causality with population density and human capital index. The results are robust and suggest that the consolidation of an effective regulatory framework and technological improvements are substantial measures to improve environmental quality in South Asia. Moreover, allocating sufficient resources to uplift contemporary educational and health status would be imperative to improving environmental quality as aspired to by the Paris Agreement., (© 2024. The Author(s).)

Background: Socioeconomic inequalities in health and their determinants have been studied extensively over the past few decades. However, the role of parenting style and parents' couple relationships in explaining mental health inequalities is limited. Therefore, this study aims to investigate the distributional impact of parenting style (angry parenting, consistent parenting, and inductive parenting) and parents' couple relationships (e.g., argumentative, happy relationships) on socioeconomic inequalities and by extension on mental health status of Australian children and adolescents., Methods: This study utilized data from the Longitudinal Study of Australian Children (Waves 1-7), specifically focusing on intact biological parent families, while excluding single-parent and blended-family households. We applied the decomposition index and the Blinder Oaxaca method to investigate the extent of the contribution and temporal impact of parenting style and parents' couple relationships on the mental health status of Australian children and adolescents., Results: This study revealed that poor parenting style is the single most important factor that leads to developing mental health difficulties in children and adolescents, especially from low socioeconomic status, and it contributes almost 52% to socioeconomic inequalities in mental health status. Conversely, household income, maternal education, employment status, and parents' couple relationships contributed 28.04%, 10.67%, 9.28%, and 3.34%, respectively, to mental health inequalities in children and adolescents., Conclusion: Overall, this study underscores the importance of parenting style and parents' couple relationships as significant predictors of mental health outcomes in children and adolescents. These results highlight the need for targeted interventions to support families from low socioeconomic backgrounds to address the significant mental health inequalities observed in the study population., (© 2024. The Author(s).)

The war in Afghanistan left significantly negative consequences in all spheres of its society, leading the country to the highest levels of poverty, hunger, and environmental damage. This study explores the long-run impact of civil wars on environmental degradation in Afghanistan using the conceptual framework of the Environmental Kuznets Curve and models augmented with pollutants, civil wars, comprehensive financial development index, and macroeconomic predictors on a set of data from the first quarter of 2002 to the first quarter of 2020. However, while the results confirm long-run relationships amid indicators by the autoregressive distributed lags bound test, the results of the vector error-correcting model to Granger causality reveal bidirectional causality links between CO 2 emissions, per capita real GDP, civil wars, the financial development index, energy consumption, trade openness, and the inflation rate in the long-run, while the findings extend to confirm multidimensionality and interdependencies among predictors in the short-run. Moreover, the results indicate dual findings. First, it confirms that civil wars, the financial development index, per capita real gross domestic product, population growth, and the inflation rate significantly increase CO 2 emissions, while the squared per capita real gross domestic product, energy consumption, and trade openness reduce CO 2 emissions both in the short and long runs. Second, the results confirm an inverted U-shaped relationship, supporting the validity of the Environmental Kuznets Curve hypothesis in Afghanistan. Based on the findings, appropriate policy measures are recommended., Competing Interests: The authors do not have any conflict of interest for declare., (© 2024 Published by Elsevier Ltd.)

Studying the effect of financial development on environmental quality has become imperative in the modern world due to the climate change challenges. Hence, this systematic literature review provides a comprehensive overview of the existing body of knowledge on the nexus of financial development and environmental quality in developed countries. Three databases: Web of Science, Scopus, and Google Scholar were used to search the relevant articles in this domain. Finally, 20 journal articles qualified for the systematic literature review based on the pre-defined article inclusion criteria as per the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) framework. We found that a range of econometric approaches were used in all examined papers, employing a diverse range of proxy variables to model the relationship between financial development and environmental quality. Overall, the findings of the examined papers imply mixed evidence of this nexus in developed countries. We highlight the knowledge gap in this research domain examining the financial development and environmental quality link from different proxies., (© 2023. The Author(s).)

High population, energy consumption, industrialization, and environmental degradation are inherently linked, making the study of ecological footprints in the most populous countries crucial for understanding their environmental impact and guiding efforts to minimize ecological degradation through sustainable resource management and conservation. Therefore, this study examines the effects of disaggregated energy consumption, industrialization, and total population on the ecological footprint of the world's top 10 most populous countries namely Bangladesh, Brazil, China, India, Indonesia, Mexico, Nigeria, Pakistan, Russia, and the USA, using data for the period of 1990-2020. The research employs Kao and Pedroni techniques of cointegration to determine whether the variables are cointegrated in the long run. The long-term equilibrium association is measured utilizing panel autoregressive distributed lag/pooled mean group (ARDL/PMG), and method of moment quantile (MMQ) regression methods. Furthermore, to test for the causal relationships between the selected variables, we used the Dumitrescu and Hurlin (D-H) panel causality method. The findings of the study reveal that renewable energy consumption, as well as GDP square, have a significant negative influence on ecological footprint, implying that renewable energy and GDP square reduce ecological footprint and thus enhance environmental quality. Furthermore, non-renewable energy, industrialization, total population, and GDP have a detrimental impact on environmental quality by increasing ecological footprint. It is also found that there is a one-way causality from non-renewable energy and industrialization to ecological footprint and a bidirectional causal relationship between ecological footprint and total population, GDP, and GDP 2 . Important policy implications are drawn based on the findings., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Financial development is vital to enhance the inclusive growth of a country in the modern world, and environmental quality, affected by financial development, is also a highly debated topic. Thus, this study attempts to investigate the role of financial development in determining environmental quality in Sri Lanka considering other variables namely economic growth, energy consumption, trade openness, and foreign direct investments. The key econometric tool used for the purpose is the Autoregressive Distributed Lag (ARDL) approach with the data from 1992 to 2021. As per the findings, financial development, economic growth, energy consumption, and foreign direct investments adversely impact environmental quality both in the long-run and short-run. Additionally, trade openness established a negative impact in the short-run only. Importantly, the Environmental Kuznets' Curve (EKC) hypothesis and Pollution Haven Hypothesis are established. Finally, all variables except trade openness confirmed a unidirectional causal relationship with environmental quality. This study recommends that all the modelled variables are vital to enrich the environmental quality in Sri Lanka., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: This study raises two key arguments: First, government health expenditure (GHE) and per capita out-of-pocket expenditures on healthcare (OPEH) are sensitive to contemporary good governance practices, giving policy importance to the exogeneity of healthcare determinants, i.e., governance for health rather than health governance. Second, it is the income level of countries that reflects the volatility of the governance spillovers on the subject., Methods: The present study constructs a composite governance index (CGI) and employs a set of panel data for 144 countries over the period from 2002 to 2020. To allow comparability and extract specific policy implications, the countries are classified as full, high-, middle-, and low-income panels. Meanwhile to delve into the short- and long-run effects of CGI on GHE and OPEH, the study employs the cross-sectionally augmented autoregressive distributed lags (CS-ARDL) model. Further, to establish a causal link between the variables, it uses the Dumitrescu-Hurlin panel causality technique., Results: The results indicate that CGI is significantly cointegrated with GHE and OPEH in all recipient panels. It indicates that while CGI has significantly positive impacts on GHE and OPEH, its effects vary according to the income level of the underlying economies. The findings support the idea of governance for health and show that CGI drives the stabilization and enhancement of GHE and OPEH in the long run. Furthermore, the findings reveal that economic growth, the age dependency ratio, and tax revenue have positive effects, while the crude death rate and the child mortality rate exert negative impacts on the subject. Finally, the results highlight a unidirectional causality running from CGI to GHE and OPEH, while no feedback response is evident., Conclusions: Although an increase in GHE and OPEH is associated with the improvement of the population's healthcare, the results suggest the recognition of the importance and institutionalization of good governance to streamline this improvement through effective channelization, outreach, and social environment development for extensive health inclusion., (© 2023. The Author(s).)

Purpose: The ongoing COVID-19 pandemic imposes serious short-term and long-term health costs on populations. Restrictive government policy measures decrease the risks of infection, but produce similarly serious social, mental health, and economic problems. Citizens have varying preferences about the desirability of restrictive policies, and governments are thus forced to navigate this tension in making pandemic policy. This paper analyses the situation facing government using a game-theoretic epidemiological model., Methodology: We classify individuals into health-centered individuals and freedom-centered individuals to capture the heterogeneous preferences of citizens. We first use the extended Susceptible-Exposed-Asymptomatic-Infectious-Recovered (SEAIR) model (adding individual preferences) and the signaling game model (adding government) to analyze the strategic situation against the backdrop of a realistic model of COVID-19 infection., Findings: We find the following: 1. There exists two pooling equilibria. When health-centered and freedom-centered individuals send anti-epidemic signals, the government will adopt strict restrictive policies under budget surplus or balance. When health-centered and freedom-centered individuals send freedom signals, the government chooses not to implement restrictive policies. 2. When governments choose not to impose restrictions, the extinction of an epidemic depends on whether it has a high infection transmission rate; when the government chooses to implement non-pharmacological interventions (NPIs), whether an epidemic will disappear depends on how strict the government's restrictions are., Originality/value: Based on the existing literature, we add individual preferences and put the government into the game as a player. Our research extends the current form of combining epidemiology and game theory. By using both we get a more realistic understanding of the spread of the virus and combine that with a richer understanding of the strategic social dynamics enabled by game theoretic analysis. Our findings have important implications for public management and government decision-making in the context of COVID-19 and for potential future public health emergencies., (© 2023 Elsevier Inc. All rights reserved.)

Sustainable environmental quality is a global concern, and a concrete remedy to overcome this challenge is a policy priority. Therefore, this study delves into the subject and examines the effects of governance on environmental quality in 180 countries from 1999 to 2021. To maintain comparability and precision, we first classify countries into full and income-level panels and then, innovatively, construct a composite governance index (CGI) to capture the extensive effects of governance on CO 2 emissions. Complementing the stationarity properties of the variables, we employ the cross-sectionally augmented autoregressive distributed lags model to analyze the data. Our survey yields four key findings. First, a long-run nexus between CGI, CO 2 emissions, and other control variables is confirmed. Second, the findings indicate that CGI is crucial to improving environmental quality by reducing CO 2 emissions across all panels. Third, we find that while CGI maintains a similar magnitude, the size of its effects substantially varies according to the income level of the underlying countries. Fourth, the findings reveal that energy consumption, population growth rate, trade openness, and urbanization contribute to environmental degradation, while financial development and the human development index are significant in reducing CO 2 emissions. Our findings suggest specific policy implications, summing up that one common policy is not a good fit for all environmental quality measures., (© 2023. Springer Nature Limited.)

Background: Food insecurity indicates the difficulty of constantly obtaining adequate food because of limited economic resources. Food insecurity challenges the desired health outcomes. Although extensive literature has examined the associations between food security and health, low-wage informal sector workers have been less frequently addressed in this topic. The present study has focused on food insecurity among the workers working in the informal sector enterprises who experienced entrenched disadvantage during COVID-19 and examines the relationship between food insecurity and health status as measured by self-reported physical and mental health conditions., Methods: This study has utilized cross-sectional data collected from workers working in informal manufacturing and business enterprises in Dhaka city of Bangladesh. The Food Insecurity Experience Scale (FIES) with eight items is used to screen for food insecurity, and the Short Form 12v2 (SF12v2) scale with 12 questions, and validated for use with Bengali respondents, is used to measure the health status of the informal workers. A health production function has been constructed where the health status (both physical and mental) of workers is associated with food insecurity and other socio-economic and health care factors. Empirical analyses of the study have included descriptive statistics, mean score comparisons, and multivariate regression analyses to identify the predictive factors of the physical and mental health status of the workers., Results: A moderate to severe food insecurity is found to be responsible for the poor health status (both physical and mental) of the selected working group population. Moreover, age over 40 years, having a large family, dissatisfaction with the work place, and the prevalence of occupational health risks are linked to lower physical health, while dissatisfaction with the work place and the incidence of severe diseases contribute to poor mental health status along with food insecurity., Conclusions: Extending social and economic protection towards health coverage and basic consumption is suggested as an immediate action to save lives and ensure productivity of the informal workers. Besides, an increase in income and ensuring decent working conditions are also recommended for the health, safety and satisfaction of workers working in informal sector enterprises., (© 2023. The Author(s).)

The present study aims to assess the prospects for cleaner production (CP) and sustainable development (SD) of informally operated small manufacturing enterprises, which are frequently blamed for uncontrolled waste disposal and causing pollution to the environment. The economic efficiency level of these firms has been explored to this end, and the metallic pollution loads in the surrounding environment have been scientifically analyzed to investigate the nexus between these two. DEA (Data Envelopment Analysis)-Tobit analysis has been employed, and a pollution load index (PLI) of heavy metal pollution comprising two environmental compartments (soil and water) has been constructed based on the concentration level of metalloid pollutants in the samples collected from the surrounding areas of the studied informal firms in Bangladesh. The study disproves CP practice in majority of the informal firms in Bangladesh by observing a positive relationship between firm-level efficiency and pollution load sourced from their production activities. Afterwards, this study estimates the eco-efficiency level of firms by considering pollution load as an undesirable output and minimizing its impact in an input-oriented DEA model. Applying the eco-efficiency scores in censored Tobit regression analysis, the outcome endorses the prospect of CP for informally operated enterprises in Bangladesh. However, the CP prospect can only materialize if and only if firms are provided with adequate technical, financial, and strategic support for achieving eco-efficiency in their production. The informal and marginal nature of the studied firms restricts them from getting access to the facilities and support services needed for implementing CP and moving towards sustainable manufacturing. Therefore, this study recommends green practices in informal manufacturing and limiting the informal firms by bringing them gradually under the coverage of formalization, which is in line with the achievement of the targets mentioned in Sustainable Development Goal 8., Competing Interests: The authors have no competing interest to declare. Supplementary content related to this article has been published online at [URL]., (© 2023 Published by Elsevier Ltd.)

This study examines the effects of long-run civil wars on healthcare, which is an important component of human capital development and their causality nexus in Afghanistan using the MVAR (modified vector autoregressive) approach and the Granger non-causality model covering data period 2002Q3-2020Q4. The primary results support a significant long-run relationship between variables, while the results of the MVAR model indicate the per capita cost of war, per capita GDP, and age dependency ratio have significantly positive impacts on per capita health expenditures, whereas child mortality rate and crude death rate have negative impacts. The results of the Granger non-causality approach demonstrate that there is a statistically significant bidirectional causality nexus between per capita health expenditure, per capita cost of war, per capita GDP, child mortality rate, crude death rate, and age dependency ratio, while it also supports the existence of strong and significant interconnectivity and multidimensionality between per capita cost of war and per capita health expenditure, with a significantly strong feedback response from the control variables. Important policy implications sourced from the key findings are also discussed., (© 2022. The Author(s).)

Background: The outbreak of COVID-19 has alerted governments around the world, including Australia, to think seriously about the health issues. Life expectancy is one of such issues. Therefore, this study tries to reveal the effects of globalization, energy consumption, information and communication technology, financial development, education rate, and economic growth on life expectancy at birth in Australia., Methods: Using the data period of 1990-2018, a series of econometric techniques: the Dickey-Fuller generalized least square test, Autoregressive Distributive Lag bounds test, fully modified ordinary least square method and the pairwise Granger causality test, are applied., Results: The findings disclose that globalization, renewable energy use, information and communication technology, per capita gross domestic product, education rate, and financial development increased during this period but non-renewable energy use reduced life expectancy at birth. Unidirectional causal associations of the studied variables with life expectancy at birth are also revealed., Conclusions: All the outcomes are relevant and useful for articulating an innovative policy in the health sector. The prime policy implication of this work is: the effective, efficient, and inclusive policies considering globalization, renewable and non-renewable energy consumption, information and communication technology, financial development, education rate, and economic growth should be formulated and executed for guaranteeing health status., (© 2022. The Author(s).)

Background: Despite the declining trends worldwide, infant and child mortality rates are still high in many African countries. These high rates are problematic; therefore, this study attempts to explore the contributing factors that cause high infant and child mortality rates in 14 African countries using panel data for the period of 2000-2018. In particular, the role globalisation is explored., Methods: The panel corrected standard error (PCSE), the Feasible generalized least square (FGLS) models, and the pair-wise Granger causality test have been applied as methodological approaches., Results: The public health expenditure, numbers of physicians, globalization, economic development, education, good governance, and HIV prevalence rate have been revealed as the determinants of infant and child mortality in these countries. All these variables except the HIV prevalence rate negatively affect the infant and child mortality rates, while the HIV prevalence rate is found to be positive. Bidirectional and unidirectional causal relationships between the variables are also attained., Conclusions: Effective socio-economic policy priority with due consideration of globalization should be emphasized to reduce infant and child mortality rates in these countries., (© 2022. The Author(s).)

Tourism growth is an important component for welfare improvement in the host destination, but it can be associated with environmental degradation. The aim of the current study is to assess the environmental impacts of tourism growth in Tanzania, using time series data for the period 1995-2017. It utilizes ecological footprints as a proxy for environmental damage, tourism receipt as an economic indicator, and primary energy consumption, urban population, and trade openness as control variables. The study employs Autoregressive Distributed Lag Bounds Testing, Vector Error Correction Model (VECM), and Granger causality test for analysis and the Wild Bootstrap approach to check the accuracy of the computed statistics. The VECM Granger causality test shows that in the case of Tanzania, international tourism revenue and trade openness compact environmental degradation, while urbanization and primary energy consumption accelerate it. Besides, while long run cointegration exists among the variables, the environmental Kuznets curve hypothesis was not ascertained in Tanzania. Therefore, Tanzania must adopt more proactive urban planning strategies to achieve sustainable urbanization thereby improving the quality of the environment. Additionally, it is important for Tanzania to make strategic use of trade and tourism receipts, such as investment on renewable energy, to lessen dependence on fossil fuels, and improve environmental sustainability. So, the study opens new policy perspectives with wide international relevancy as outlined in the policy implication section., Competing Interests: The authors declare no conflict of interest., (© 2022 The Author(s).)

This paper explores the impacts of informal economic activities and institutional capacity, particularly, corruption control on the environmental quality degradation of emerging economies under the prevailing socio-economic conditions and energy use patterns of the countries. The study utilizes key environmental degradation indicators: Carbon dioxide (CO 2 ) emissions, ecological footprints (EFs), and Nitrous Oxide (NO) emissions, and a panel dataset of 15 emerging countries for the period 2002-2019 to undertake an empirical investigation. The pooled mean group (PMG)-ARDL estimator, Fully Modified OLS (FMOLS), Dynamic OLS (DOLS) and Augmented Mean Group (AMG) methods have been applied as empirical investigation techniques. The empirical findings reveal that in the long-run informal economic activities positively affect the environmental quality with fewer recorded emissions of CO 2 and EFs while these activities affect negatively to NO emissions. This study has also found that corruption control improves environmental quality by reducing EFs and NO emissions but works to the opposite by increasing recorded CO 2 emissions. An increase in economic growth and renewable energy consumption improves environmental quality in emerging countries, while consumption of non-renewable energy degrades the environmental quality. The robust empirical findings advocate policy initiatives for intense monitoring of informal activities and implementation of indirect tax policy to regulate informal activities and the pollution they cause. Careful measures of corruption control and initiatives to bring the informal economic activities into a formal framework are suggested to reduce CO 2 and NO emissions. An increase in economic growth with more focus on renewables and phasing out non-renewables can ensure green growth in emerging countries., Competing Interests: The authors declare no conflict of interest., (© 2022 The Author(s).)

This study has investigated the Environmental Kuznets Curve (EKC) hypothesis and focuses on the resource stock of the country in relation to the selection of environmental degradation indicators. Acknowledging the critical role of the EKC for policy formulation and development strategies, this study has examined the validity of the EKC hypothesis by exploring the relationship between economic growth, urbanization, energy consumption, trade openness, human capital and ecological footprints for the period 1972-2018 in Bangladesh. The autoregressive distributive lag bounds testing approach is applied for this purpose, taking into account the structural break in the time series. A fully modified OLS estimation has also been applied as the robustness check of the results. Results from the empirical analysis confirm the existence of the EKC in Bangladesh in both the long run and short run. The causal nexus among the variables is examined by applying the Vector Error Correction Granger causality test. The causality test result shows that economic growth and urbanization cause ecological footprints in both the short run and the long run. Based on this result, it can be inferred that economic growth activities in Bangladesh can be continued and extended with minimal ecological cost through structural economic change and proper environmental management., (© The Author(s), under exclusive licence to Springer Nature B.V. 2021.)

This study explores the main factors of economic growth in a panel of the world's 20 biggest economies considering the data period of 39 years (1980-2018). In particular, the roles of international trade, energy use, human capital, and foreign direct investment (FDI) are examined in addition to the roles of capital and labour. To estimate the results the panel autoregressive distributed lag (ARDL) method of Pool Mean Group (PMG) estimator and heterogeneous panel causality test are used with due consideration of cross sectional dependence test, cointegration test and other necessary diagnostic tests. The obtained results ratify the cointegration among the variables used. Energy use, trade, capital, labour, human capital development and foreign direct investment have positive and significant impacts on the economic growth of these countries in the long run. In the short run energy use, trade and capital also have positive and significant effects, but human capital has negative effect on economic growth. A bidirectional causal relationship between economic growth and trade, capital, labour and human capital, and a unidirectional causal link from economic growth to energy use and foreign direct investment are also found. The obtained results are theoretically consistent, and therefore have important policy implications., Competing Interests: The authors declare no conflict of interest., (© 2021 The Authors.)

After the economic liberalization in mid-2000, Tanzania has assumed that tourism growth spars economic growth due to the consistent significant contribution of tourism sector to the country's annual income. However, there are limited empirical studies that investigated tourism-economic growth relationship in Tanzania. This study aims to investigate an empirical insight into the actual nature of tourism-economic growth in Tanzania by applying the Granger causality and Wald test methods where annual time series data on international tourism receipt, real Gross Domestic Product, and real effective exchange rate over the period 1989-2018 are used. Further, the Impulse Response Function approach is utilized to provide insight into the qualitative nature of the relationships and the length of time necessary for the causal effect to take place. The findings confirm a unidirectional causality from tourism development to economic growth. The study concludes that Tanzania ought to focus on economic strategies that encourage sustainable tourism development as a feasible source of economic growth., Competing Interests: The authors declare no conflict of interest., (© 2021 The Authors.)

This study investigates the impact of various economic, social and environmental indicators on economic growth in South Asian countries. Using the data throughout 1990-2017, a panel data estimation method is adopted with sophisticated econometric approaches. The obtained results indicate a long-term positive effect of biological capacity, financial development, human development index, income inequality on economic growth while the effect of energy use is the opposite. The findings of the study suggest that governments and associated bodies must promote financial development, human development, and biocapacity to not only attain economic growth in the long-run and but dissuade ecological footprint, and income inequality at the same time while matching the energy consumption with the bio-capacity of each economy., Competing Interests: The authors declare no conflict of interest., (© 2021 Published by Elsevier Ltd.)