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Renewable energy, resource efficiency, and globalization are recognized as pivotal factors in the pursuit of environmental sustainability. This study's novelty lies in examining the impact of resource efficiency, the influence of globalization, and the adoption of renewable energy sources on energy‐related CO2 emissions in the United States spanning the years from 1990 to 2020 is the focus of this study. Additionally, this investigation leveraged a diverse range of time‐frequency‐quantile techniques, encompassing quantile‐on‐quantile regressions, wavelet coherence, cross quantile coherence, wavelet‐based quantile correlation, and quantile regression, which is an additional novel aspect of this study. The findings of this research indicate that resource efficiency, the utilization of renewable energy sources, and the forces of globalization collectively contribute to enhancing ecological sustainability by reducing energy‐related CO2 in the United States across a range of quantiles, time periods, and temporal contexts. The study posits that these findings offer a comprehensive framework that can guide policymakers in the United States toward taking tangible measures to advance ecological sustainability while curbing energy‐related CO2 emissions. [ABSTRACT FROM AUTHOR]

This study investigated how international tourism is impacting on environmental quality and renewable energy use in Africa, and how governance institutions on the continent are moderating these relationships. We employed the system GMM technique with a panel of 31 African economies from 2011 to 2020. We find that while international tourism is not a significant driver of environmental quality in Africa, it is significantly hampering renewable energy use on the continent. We also find that even though the unconditional effects of governance institutions on environmental quality are predominantly muted, their moderation role in the tourism-environmental quality relationship indicates that they offer potent channels for enhancing the contribution of the tourism sector toward improved environmental quality in Africa. Our results further indicate that governance institutions in Africa are significantly hampering the use of renewable energy, while their moderation role on the tourism-renewable energy use relationship is mainly muted. These findings generally highlight the fact that Africa is yet to harness its tourism potentials, while simultaneously dealing with the challenge of weak governance institutions. Among others, we recommended that policymakers and leaders in Africa should work together to harness the tourism potentials of the region and improve the quality of governance institutions. [ABSTRACT FROM AUTHOR]

Copyright of Space & Society / Tér és Társadalom is the property of Centre for Economic & Regional Studies, Hungarian Academy of Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The primary motivation of this paper is the lack of consensus on the impact of renewable energy (RE) and research and development (R&D) expenditure on CO2 emissions in the literature. Current literature has mostly ignored the spillover effect of R&D on CO2 emissions by increasing the intensity effect of technology, leading to biased results. Further, little is known about the impact of previous epidemics on CO2 emissions. This study fills these gaps by evaluating the spillover effects of RE and R&D on CO2 emissions in a global panel of 54 countries from 2003 to 2017. Using a two-way time- and spatial-fixed-effects panel analysis, we find both income-induced and scale effects of economic growth are present in our panel, though the scale effect is the dominant one. Our findings indicate that economic growth increases CO2 emissions at a decreasing rate, validating the Environmental Kuznets Curve hypothesis, and that urbanization and foreign trade worsen the environment. We also find that epidemic episodes before COVID-19 had a nonsignificant impact on CO2 emissions internationally. More importantly, our results confirm the presence of both the intensity and scale effects of R&D, with the intensity effect being the dominant one. We find overwhelming evidence that global R&D investment led to an overall (direct plus spillover) reduction of CO2 emissions, driven by its spillover effect, through two channels: RE and economic growth. Finally, we find that RE installations assist with reducing CO2 emissions internationally, though RE composition and state of R&D can lead to different findings. Our findings have significant policy implications for sustainable development. Our RE and R&D-spillover results support the policy recommendation of shifting to high-tech clean energy sources. [ABSTRACT FROM AUTHOR]

The global imperative to transition from fossil fuels to renewable sources is addressed, with hydrogen identified as a pivotal energy carrier. Departing from qualitative approaches, quantitative methodologies are employed to understand the challenges comprehensively. Qualitative insights are quantitatively assessed through a novel index, enabling a nuanced analysis of strengths and weaknesses. The resulting model is a precise tool for informed decision-making in energy transition efforts. Notably, Chile, New Zealand, and Morocco are identified as high-potential economies for hydrogen development, aligning with expert opinions. Conflict demonstrates an overall negative correlation with technological progress, while regulatory quality emerges as a strong positive correlation with the state of hydrogen in policy. This quantitative model offers a robust framework for future research and application, including incorporating additional data and subnational-level analysis. The study provides a quantitative foundation for advancing hydrogen development and sustainable energy transition. • A numerical index can be beneficial to studying the ongoing energy transition. • We present a novel way of quantizing hydrogen development using various indicators. • Results show that there are several "hidden champions" with high growth potential. • Indicators based on varying dimensions of development offer a clear picture forward. [ABSTRACT FROM AUTHOR]

China is known for its large industrial sector and diversified energy mix, which could contribute to environmental pollution, as fossil fuels remain China's main source of energy. With the recent drive by the Chinese government to achieve low carbon emissions and further reduce greenhouse gases, this study adds to the existing literature by combining the quantile-on-quantile (QQ) regression and non-parametric techniques to examine the role of economic complexity, nonrenewables energy and renewable energy consumption on the ecological footprint in China over the period 1985Q1–2019Q4. Overall, results show that renewable energy, non-renewable energy use, economic growth and economic complexity affects ecological footprint positively. In addition, the nonparametric causality outcomes revealed that renewable energy, non-renewable energy use, economic growth and economic complexity can significantly predict variations in ecological footprint at different quantiles. We are of the opinion that policymakers in this region should work on the pro-growth mentality of China, which is majorly fossil fuel-driven. This requires an immediate replacement with more eco-friendly sources and energy-saving technologies for economic activities. Otherwise, fulfilling the SDG 13 goals in China will be challenging. For a sustainable renewable energy investment, China should shift to ancillary and spot markets, where the low energy storage and low marginal cost of renewable energy could facilitate higher reduction in electricity cost and encourage higher trading of electricity. [ABSTRACT FROM AUTHOR]

This research investigates the dynamic impact of various factors including economic growth, the expansion of renewable energy sources, urbanization, industrialization, tourism, agriculture, and forestry on carbon dioxide (CO2) emissions in Pakistan, India, and Bangladesh from 1980-2022. The research centers on the three most populous nations of the three countries. To quantify the correlation between emissions and the myriad of distinct categories of drivers, national time series data annually are utilized. To ascertain the immediate and enduring consequences of emissions fluctuations, DOLS methods are used for data analysis. The results indicate that increasing levels of energy consumption, GDP per capita, tourism arrivals, agricultural activities, and industrialization are all significant long-term contributors to rising CO2 emissions in each of the three countries. However, there is some evidence that implementing sustainable agricultural practices, expanding forest cover, and increasing the output of renewable energy sources could potentially serve as mitigating factors. Based on the study's results, to reconcile the pursuit of development objectives with emission reduction, it is recommended that economic growth strategies prioritize low-carbon sectors, accelerate the adoption of renewable energy sources, promote sustainable agricultural and tourism practices, and foster regional collaboration. Integrated planning for inclusive, environmentally friendly, and sustainable growth trajectories can be enhanced by incorporating comprehensive understandings of the interplay among interconnected factors that impact emission patterns. Customized development trajectories ought to be established for Pakistan, India, and Bangladesh.

The environment has become a growing concern for many countries, as pollution and other environmental degradation can harm human health, economic growth, and overall well-being. This paper probes into the asymmetrical implications of economic complexity and freedom on ecological quality in four South Asian countries from 1995 to 2019. Using Nonlinear Autoregressive Distributed Lag methodology approach, our findings indicate that carbon dioxide (CO2) emissions are intensified by economic freedom both in the long and short term, while negative and positive shocks to economic complexity increase CO2 emissions in the long term. However, a negative economic complexity shock increases CO2 emissions, whereas a positive shock has the opposite effect in the short run. Moreover, our results confirm the validity of the environmental Kuznets curve (EKC) hypothesis in the long run. Furthermore, we find that renewable energy usage and the interaction of FDI and renewable energy usage can help reduce environmental damage in both the short and long run. The findings suggest that countries should focus on attracting foreign direct investment that promotes the use of renewable energy. Additionally, policies aimed at encouraging renewable energy use should be implemented. It is important to note that as economic freedom and complexity increase, there is a corresponding increase in CO2 emissions. Therefore, South Asian policy makers are advised to prioritize the reduction in fossil fuels, the promotion of energy-saving technologies and efficient production, and trade that encourages the transition of renewable energy sources to reduce CO2 emissions. [ABSTRACT FROM AUTHOR]

Apart from business considerations stemming from the marketplace, businesses, individuals, and the economy at large, political decisions also play a role on environmental quality. Governments make a series of policies that impact private businesses, sectors, the environment, and the economy at large. In this paper, we test the asymmetric role of political risk on CO2 emissions, while controlling for renewable energy, non-renewable energy, and real income: policy toward environmental sustainability objectives in the context of Turkey. To realize the motive of this study, we capture the asymmetric effect of the regressors by adopting the nonlinear autoregressive distributed lag method (NARDL). This research adds to the environmental literature in terms of methodological and empirical. Methodologically, the study shows that a nonlinear relationship exists among the variables, and it has a significant impact on environmental sustainability targets. The outcome of the NARDL indicates that the increasing political risk, non-renewable energy, and economic growth follow a trajectory trend on carbon emissions, which is unsustainable in Turkey, but renewable energy is sustainable. Moreover, decreasing real income and non-renewable energy decreases carbon emissions. This research also deployed the frequency domain test to capture the causal association of the concerned variables and the outcome indicates political risk, renewable energy, non-renewable energy use, and real income are predictors of CO2 in Turkey. From this result, policies geared toward promoting a sustainable environment were formulated. [ABSTRACT FROM AUTHOR]

Improving building energy efficiency and widespread application of renewable energy are key measures for achieving zero-emission development in the building sector in response to climate change. However, previous studies on buildings and renewable energy use have predominantly treated buildings as independent entities, overlooking the influence of urban morphology on both aspects. Conducting research on the impact of urban form on building energy consumption and renewable energy application at the block scale can contribute to more accurate predictions of renewable energy potential and building energy efficiency, thereby enhancing their synergistic relationship. In this context, this study proposes a methodology for building energy simulation and analysis of renewable energy potential in building clusters using the Grasshopper platform. Six typical residential building clusters in Beijing, selected based on the local climate zone system, are used as representative samples of urban forms at the block scale. Based on these samples, 30 building cluster prototypes have been constructed. By simulating the renewable energy potential and building energy consumption of these prototypes, the study analyzes the influence of urban form on both aspects. The results indicate that the heat island effect and obstruction effect between buildings are the main manifestations of urban form influence; in this case, the urban heat island effect can reduce the building heating energy consumption by 15.8% on average and increase the cooling energy consumption by up to 30%; the shading effect between buildings increases heating energy consumption by an average of 11.88% and reduces cooling energy consumption by 5.87%. These two factors have opposite effects on building energy efficiency and are correlated with urban form parameters, such as the sky view factor, street canyon height to street canyon width ratio, and floor area ratio. This study provides valuable insights for the application of renewable energy in buildings and the balance of energy supply and demand. [ABSTRACT FROM AUTHOR]

This paper investigates the implications for international trade of a country’s dependence on renewable energy consumption in total energy use. We use data for 152 countries over the period 1990–2014. We estimate a gravity equation of bilateral trade to assess the role of renewable energy consumption on international trade. We find, inter alia, that a 1% increase in the use of renewable energy as a proportion of total energy leads to, on an average, a 1.026% decrease in exports, and a 0.39% increase in imports, suggesting that renewable energy use makes trade less competitive. This outcome is due in part to cost implications of using renewable energy sources. However, we also find some heterogeneity in this respect. Whereas Organization for Economic Co-operation and Development (OECD) countries export more with increased use of renewable energy, for non-OECD countries renewable energy use reduces exports.

In this study, energy losses, energy prices, and the relationship between green energy and environmental quality are investigated for 15 energy-importing emerging economies. In addition, the validity of the environmental Kuznets curve is tested in this study. Autoregressive Distributed Lag (ARDL) approach based on panel dataset, related intermediate estimators including PMG, MG, and DFE were used as a method. In addition, FMOLS and DOLS estimators were used for robustness testing in the study. According to empirical findings, the environmental Kuznets curve is valid in energy-importing emerging economies. In addition, green energy use and energy prices have a reducing effect on CO2 emissions. However, energy losses increase CO2 emissions. While the long-term results of the variables were similar, the short-term results were mixed. This situation is attributed to different economic growths in energy-importing developing economies, the share of energy resources in total energy resources, and energy-efficient technologies in the energy field. The fact that these variables have never been investigated for this economy group makes the study different. [ABSTRACT FROM AUTHOR]

As a result of the COVID-19 pandemic, production costs have grown, while human and economic resources have been reduced. COVID-19 epidemic costs can be reduced by implementing green financial policies, including carbon pricing, transferable green certificates, and green credit. In addition, China's tourist industry is a significant source of revenue for the government. Coronavirus has been found in 30 Chinese regions, and a study is being conducted to determine its influence on the tourism business and green financial efficiency. Econometric strategies that are capable of dealing with the most complex issues are employed in this study. According to the GMM system, the breakout of Covid-19 had a negative effect on the tourism business and the efficiency of green financing. Aside from that, the effects of gross capital creation, infrastructural expansion, and renewable energy consumption are all good. The influence of per capita income on the tourism industry is beneficial but detrimental to the efficiency of green finance. Due to the current pandemic condition, this report presents a number of critical recommendations for boosting tourism and green financial efficiency. [ABSTRACT FROM AUTHOR]

As the global concerns regarding climate change and the related environmental adversities continue to persist alongside rapid development of the world economies, the United Nations declared a set of compressive sustainable development goals (SDG) that are to be realized by the end of 2030. These goals are specifically conceptualized to collectively facilitate the attainment of sustainable socioeconomic development while concurrently improving the quality of the global environment. Hence, this study assesses the interlinkages between economic growth, environmental pollution, financial development, and renewable energy use in light of the objectives of SDG8, SDG13, SDG10, and SDG7 by considering the BRICS nations as a case study. Although the previous studies, in this regard, have predominantly focused on specifically scrutinizing the determinants of these four macroeconomic variables of concern, not much importance was shown to map the interrelationships among these variables. The econometric analysis conducted in this study utilizes quarterly frequency data covering the period from 1990‐Q1 to 2020‐Q4. Overall, the findings from causality and variance decomposition analyses reveal that in the long run these variables are influenced by each other which, in turn, also verifies the cross‐linkages between the four SDG of concern. Besides, the causality‐related findings appear to be robust when alternate causality estimators are employed. Therefore, based on these critically important causal relationships, a set of interactive SDG‐related policies is recommended. [ABSTRACT FROM AUTHOR]

Unconscious and excessive consumption of natural resources, industrialization, deforestation, and similar factors lead to the threat of environmental sustainability at the global level. As environmental degradation is felt worldwide, it is known that countries take measures to slow down or stop environmental degradation. The fact that fossil fuels cause serious environmental damage has increased the interest in renewable energy sources, which are also defined as clean energy sources. It is observed that the research on, it is seen that research on the determinants of renewable energy consumption has also increased. In this study, it is aimed to investigate the effect of financial development on renewable energy consumption in CIVETS countries. Within the framework of the aim of the study, annual data covering the period 1990 to 2019 is used from all the CIVETS countries such as Colombia, Indonesia, Vietnam, Egypt, Turkiye, and South Africa. Renewable energy consumption is used as the dependent variable, the Financial Development Index published by the IMF is used as the independent variable. In addition, independent variables such as foreign direct investment inflows and economic growth are also included in the study. The non-Additive Fixed Effect Panel Quantile method, developed by Powel (2016), is utilized in the study. As a result of the analysis, it was found that financial development negatively affects renewable energy consumption at all quantile levels in CIVETS countries. [ABSTRACT FROM AUTHOR]

Copyright of Hacettepe University Journal of Economics & Administrative Sciences / Hacettepe Üniversitesi Iktisadi ve Idari Bilimler Fakültesi Dergisi is the property of Hacettepe University, Faculty of Economic & Administrative Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

By likening biocapacity and ecological footprint, the load capacity factor follows a specified ecological threshold, permitting for an in-depth analysis of ecological damage. It can be seen that as the load capacity factor is reduced, the ecological damage intensifies. Until now, scholars have used carbon dioxide, ecological footprint, nitrogen oxide, sulfur dioxide, and other indices to objectively examine ecological problems. The utilization of these metrics can cause the supply side of ecological concerns to be overlooked. To make up for this weakness, this paper evaluates the impact of structural change and trade globalization on the load capacity factor. The research also considers other drivers of load capacity factors such as economic growth and energy. We utilized the nonparametric such as nonparametric causality and quantile-on-quantile (QQ) regression approaches to scrutinize these interconnections for South Korea between 1970 and 2018. The findings from the QQ approach disclosed that in the majority of the quantiles, the influence of economic growth, structural change, energies (renewable and nonrenewable), and trade globalization mitigate the load capacity factor. Moreover, the nonparametric causality test divulged that in variance and mean, all the independent variables can predict the load capacity factor. Policy proposals for South Korea's sustainable development are offered based on the findings. [ABSTRACT FROM AUTHOR]

Several Asian nations, including China, are experiencing issues with achieving the Sustainable Development Goals (SDGs) targets. Consequently, this research discusses the design of an SDG agenda for China that can be utilized as a model for other Asian nations. Accordingly, we scrutinize the effect of technological innovation and renewable energy on CO 2 in China. The study also incorporates other CO 2 drivers such as economic growth and structural change into the framework. The current research employed a dataset covering the period from 1985 to 2019. Furthermore, we utilized autoregressive distributed lag (ARDL) to capture the associations between CO 2 emissions and the exogenous variables. In addition, we employed the gradual shift causality test to identify the causal interconnection. This technique can capture smooth or gradual changes and does not require prior knowledge of the dates, number, or form of a break (s). The outcomes from the ARDL disclosed that 1% increases in structural change and economic growth cause CO 2 to increase by 1.600% and 0.819%, respectively, while 1% increases in renewable and technological innovation lessen CO 2 by 0.688% and 0.090%, respectively. Moreover, the EKC hypothesis is supported. Moreover, the combined effect of renewable energy and innovation demonstrates that innovation enhances environmental quality by regulating the interrelationship between renewable energy and CO 2. Lastly, the gradual shift causality test disclosed that CO 2 emissions could be predicted by the exogenous variables. Based on these results, policy recommendations are proposed. • We investigate the impact of renewable energy on CO 2 Emissions. • The moderating role of technological innovation is also analyzed. • Autoregressive distributed lag (ARDL) is employed. • Technological innovation and renewable energy reduce CO2 emissions. • EKC hypothesis is supported. [ABSTRACT FROM AUTHOR]

Over the last few decades, environmental deterioration has accelerated significantly. Environmental degradation has been a subject of research across the world because of its impact on billions of people. However, there has been no international agreement on lowering the utilization of energy and CO2 emissions (CO2), while demand for fossil fuels grows in emerging economies. On the other hand, the recent COP26 summit brought all parties together to accelerate action toward reaching the goals of the Paris Agreement and the UN Framework Convention on Climate Change. Although previous research shows that international trade promotes positive socioeconomic outcomes, other experts argue that it contributes to natural resource shortages and ecological deterioration. Thus, the current research considers the effect of international trade, renewable energy use and technological innovation on consumption-based carbon emissions (CCO2), coupled with the role of financial development and economic growth in the BRICS economies between 1990 and 2018. Moreover, this research utilizes the common correlated effects mean group (CCEMG), augmented mean group (AMG) and Dumitrescu and Hurlin (2012) causality methods to assess these interrelationships. The study findings reveal that renewable energy use, exports and technological innovation mitigate CCO2, whereas economic growth and imports trigger CCO2 in the BRICS economies. The panel causality outcomes also reveal that all the variables except financial development can predict CCO2 emissions. Based on the study findings, we recommend the adoption of policies, regulations and the development of legislative frameworks that promote technological innovation and the shift toward sustainable energy. [ABSTRACT FROM AUTHOR]

The study assesses the effect of the high-tech industry and renewable energy on consumption-based carbon emissions (CCO 2) in the MINT countries (Mexico, Indonesia, Nigeria and Turkey). The study also incorporates other drivers of CCO 2 emissions, such as economic growth and foreign direct investment. It utilises a panel dataset spanning between 1990 and 2018 and a series of second-generation techniques such as CIPS and CADF unit root, Westerlund cointegration, the fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS), fixed effect ordinary least square (FE-OLS) and the novel method of moment quantile regression (MMQR). The study outcomes validate the long-run association between CCO 2 and the independent variables. The outcomes of the MMQR disclose that in each quantile (0.1–0.90), economic growth, high-tech industry, and foreign direct investment increase CCO 2 emissions while renewable energy consumption mitigates CCO 2 emissions across all quantiles (0.1–0.90). This study also validates the presence of Enviornmental Kuznets Curve and the Pollution-Haven hypotheses. Similar results are endorsed by DOLS, FMOLS, and FE-OLS estimators. Furthermore, the panel causality discloses that high-tech industry, economic growth, renewable energy, and foreign direct investment can predict CCO 2 in the MINT economies. • Asymmetric association exist between model variables. • Novel Method of Moments Quantile regression is employed. • EKC hypothesis is validated across all quartiles. • Renewable energy consumption mitigates consumption-based emissions across all quantiles. • High-Tech exports and FDI leads to higher emissions. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Marmara University Social Sciences Institute / Öneri is the property of Marmara University, Institute of Social Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Recent decades have witnessed an unprecedented transformation in the global energy landscape, driven by environmental concerns and the quest for sustainable economic growth. As the world grapples with the urgent need for decarbonization, the utilization of renewable energy technologies with the instrumental role of rare earth elements (REEs) has come to the forefront. However, empirical investigations into their synergistic pathways for product and economic complexities concerning achieving a low-carbon future remain scarce. Therefore, we forecast synergistic pathways between the REE supply, renewable energy, economic and product complexities, and GDP growth using a panel dataset of 11 REE-producing countries from 1990 to 2023. We used Common Correlated Effects and Temporal Causal Models as primary methods to estimate panel long-run elasticities and subsequently forecast mutual causal synergies between the variables. The results indicated that REE supply led to renewable energy and economic growth that further elevated the countries' product and economic complexities rankings. GDP growth increased REE production, economic complexity, and renewable energy directly, and consequently, product complexity and REE production through them. This underscores the positive role of REE production coupled with renewable energy technologies in achieving a low-carbon future based on economic diversification, enhanced industrial capabilities, and technological sophistication. [Display omitted] • We forecast causal synergistic pathways to achieve green economic growth. • Rare earth elements supply promotes renewable energy use and economic complexity. • Renewable energy use contributes to elevating the product complexity index. • Economic growth contributes to raising the supply of rare earth elements. • Economic complexity extends rare earth elements supply and economic growth. [ABSTRACT FROM AUTHOR]

As the world struggles with pressing issues like climate change and sustainable development, affecting health outcomes and environmental quality, the Nordic regionsare at the forefront of major global challenges. This paper investigates the role of human capital, renewable energy use, tourism, natural resources, and economic growth in shaping life in the Nordic region i.e., Denmark, Norway, Sweden, Finland, and Iceland).Utilizing panel data spanning from 1990 to 2020, the Driscoll and Kraay standard error (DSK) technique is employed to analyze this intricate interplay. The study reveals that in the Nordic context, sustainable economic growth, bolstered by investments in human capital and the widespread acceptance of renewable energy sources, has been positively associated with increased life expectancies. Furthermore, prudent management of natural resources has helped mitigate adverse health effects related to depletion, maintaining environmental and public health standards. The thriving tourism industry has also been shown to influence lifespan in this region positively. On the contrary, the empirical finding contended that an adverse correlation exists between carbon emissions and LEX. This research underscores the importance of a comprehensive and balanced approach that considers economic development, sustainable development, and public health in pursuing longer and healthier lives, providing valuable insights for policymakers and regions seeking to replicate these positive outcomes.The findings of this study are both conceptually reliable and empirically robust, providing important insights for the formulation of environmental and health policy. • Sustainable economic growth, bolstered by investments in human capital positively increases life expectancies. • Environmental problems account for 23 percent of global mortality. • The study examined the long-run connection between ECG, CEM, NRR, TOU, HUC, REU, and LEX among the Nordic Regions. • Grossman's healthcare model influences health economics, explaining people's choices for a better demand of healthcare services • Cross-sectional Dependency Test, slope homogeneity test (SHT), adopting the Driscoll-Kraay Standardized (DSK) panel estimation approach. [ABSTRACT FROM AUTHOR]

Copyright of Global Journal of Economics & Business Studies is the property of Gumushane University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Management & Economics Research is the property of Journal of Management & Economics Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Governments actively encourage renewable energy use to deal with climate change and achieve carbon emission reduction targets. It is crucial to find out the driving factors that affect the utilization of renewable energy. Therefore, based on China's 2010–2016 input–output table, this paper uses the input–output model and structural decomposition analysis (SDA) to analyze the driving factors of renewable energy changes in the production end, household end, and the aggregate economy. The results show that the changes in the consumption structure (F) is the most crucial factor for renewable energy use, followed by technology progress (T) and final demand per capita (V). Sector SEHW (supply of electric power, heat power, and water) and MCRP (manufacture of coke and refined petroleum products) are the two vital sectors to achieve China's energy transition of the production level. However, as for households, the proportion of renewable energy has been declining. Hence, the government should promote renewable energy use and achieve the green transition in production and household levels. [ABSTRACT FROM AUTHOR]

Recent economic and environmental literature suggests that the current state of energy use in South Africa amidst rapid growing population is unsustainable. Researchers in this area mostly focus on the effect of fossil energy use on carbon (CO2) emission, which represents only an aspect of environmental quality. In contrast, the current study evaluates the influence of renewable energy use, human capital, and trade on ecological footprint––a more comprehensive measure of environmental quality. To this end, the study employs multiple structural breaks cointegration tests (Maki cointegration tests), dynamic unrestricted error correction model through Autoregressive Distributed Lag (ARDL) model, and VECM Granger causality tests. The results of the Maki cointegration tests reveal the existence of a cointegration between the variables in all the models with evidence of multiple structural breaks. Further, the ARDL results divulge that an increase in renewable energy use, human capital, and trade improves environmental quality through a decrease in ecological footprint, while an increase in income stimulates ecological footprint. Moreover, causal relationship is found, running from all the variables to renewable energy and trade flow in the long run, while in the short run, economic growth causes ecological footprint. Trade is found to Granger-cause human capital, while human capital causes renewable energy. Additionally, human capital, renewable energy, and economic growth are predictors of trade. The study therefore recommends South African policymakers to consider the importance of renewable energy, human capital development, and trade as a policy option to reduce ecological footprint and improve environmental quality. [ABSTRACT FROM AUTHOR]

The tourism sector has emerged as an essential driver for economic growth strategies during the last decades. An asymmetric long-run effect of air transport on economic growth is validated assuming a process of social globalization in Spain between 1970 and 2015. To achieve the study's objective, the recent asymmetric autoregressive distributed lag methodology framework advanced by Shin, Yu, and Greenwood-Nimmo (2014) is applied. For determining the causality direction, this methodology is applied in conjunction with the non-parametric causality test proposed by Diks and Panchenko (2006). The current study also accounts for the effects of renewable energy use and urbanization process over economic growth. Empirical results showed that air transport, urbanization process and social globalization exert positive and significant implications over economic growth, while renewable energy use reduces economic growth, as consequence of an energy mix sustained by fossil sources. Based on these outcomes several policy recommendations were offered in the concluding section. [ABSTRACT FROM AUTHOR]

This study investigates the short-term and long-term impacts of economic growth, trade openness and technological progress on renewable energy use in Organization for Economic Co-operation and Development (OECD) countries. Based on a panel data set of 25 OECD countries for 43 years, we used the autoregressive distributed lag (ARDL) approach and the related intermediate estimators, including pooled mean group (PMG), mean group (MG) and dynamic fixed effect (DFE) to achieve the objective. The estimated ARDL model has also been checked for robustness using the two substitute single equation estimators, these being the dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS). Empirical results reveal that economic growth, trade openness and technological progress significantly influence renewable energy use over the long-term in OECD countries. While the long-term nature of dynamics of the variables is found to be similar across 25 OECD countries, their short-term dynamics are found to be mixed in nature. This is attributed to varying levels of trade openness and technological progress in OECD countries. Since this is a pioneer study that investigates the issue, the findings are completely new and they make a significant contribution to renewable energy literature as well as relevant policy development. • Economic growth, trade openness and technological growth drive renewable energy use. • Long-term dynamics of the variables are found homogenous across the OECD countries. • Short-term dynamics vary as to variation in technological growth and trade openness. • An understanding of variable dynamics is vital for increasing renewable energy use. [ABSTRACT FROM AUTHOR]

The air pollution-induced health effects of energy consumption remain a grey area in the extant literature. As of yet, there are very limited studies on the subject matter for countries in the Organisation for Economic Co-operation and Development (OECD). To this end, we employ panel data from 1990 to 2019 for 37 OECD countries and panel estimation techniques that control for distributional asymmetry. We also utilize a composite variable of mortality and morbidity to capture the full spectrum of air pollution-induced health burdens. Our findings reveal that renewable energy ameliorates the health burden of air pollution in indoor spaces, evidence for the ameliorating effects of renewable energy in outdoor and occupational spaces was however weak. We also show that income has an ameliorating effect on air pollution-induced health burdens across all spaces and that the effect of non-renewable energy is asymmetric and disparate across all spaces. Furthermore, while technological innovation ameliorates the health burden of air pollution in indoor spaces, it exacerbates the health burden of air pollution in both occupational and outdoor spaces. These findings thus show that the positive health implications of renewable energy policy interventions have more traction in indoor spaces. Capacity needs to be built in the renewable energy sector to reduce the pollution-inducing health burdens emanating from ambient and occupational spaces. [Display omitted] • Heterogeneous effects across indoor, outdoor and occupational spaces uncovered. • Innovation has positive and negative effects for indoor and outdoor spaces respectively. • Strong evidence exists for the positive effect of renewable energy only in indoor spaces. • Effect of non-renewable energy is asymmetric and disparate across all spaces. • Quantile regression uncovers results not detected by mean based estimators. [ABSTRACT FROM AUTHOR]

Fossil fuels used in energy mix continues to dictate world heat usage. Demand for heat is considered as substantial contributor to carbon emissions and energy-related emissions equivalent to 12.5 Gt of carbon emissions. Data on heat is limited and therefore, a study on the causal correlation between energy use and emissions would provide policy guidance on how to decarbonize the heat sector to achieve Paris's Greenhouse Effect Treaty. Most empirical works aggregated energy consumption and ignore spatial dependence and heterogeneity in a panel dataset. Our study, however, disaggregated energy into renewable and non-renewable to find their distinct influence on emissions, which were tested for spatial dependence and heterogeneity and applied potential emissions as environmental impact. Using FGLS and PCSE estimators for the period 1971–2013, our findings revealed that the increase in renewable energy use and industrialization improves the ecological structure of emerging economies while the increase in population, economic expansion, and non-renewable energy use increases the carbon stock. We accordingly, investigated causation direction with pooled mean group estimator. Rising economic power states therefore encourage to ensure energy efficiency and replace fuel use with renewable source for heating to reduce carbon stock. [ABSTRACT FROM AUTHOR]

Motivated by the environmental challenges and the increase in energy demand, this review assesses the suitability of nuclear power production as an alternative option to using fossil fuels. First, we assess the competitiveness of nuclear power compared to other power sources considering its economic efficiency, environmental impact and implications for health, and conclude that this is a viable option to serve in addition to and as a backup to renewable sources. Second, we review previous findings in various fields on advantages and disadvantages of nuclear power technology and conclude that there is a gap between reality and perception. Third, we discuss challenges related to nuclear weapons proliferation and misperceived public opinion on nuclear power. We conclude that the gap between perception and reality stems from a lack of consolidated interdisciplinary view, media communications focusing mainly on unilateral assessments.

The grand challenges of our time—climate change, biodiversity losses, and global non-communicable disease rates—underscore that humanity and the planet are in crisis. Planetary health provides a unifying concept wherein efforts toward remediation and survival can be concentrated. Evidence derived from the animal kingdom and from human demography suggest that there is cause for optimism in planetary health. With proper navigation, a transition toward a new epoch—one of symbiotic flourishing—is possible. Responses to the current challenges can usher in a new reality, one in which the core value is the well-being of all. This paper presents the philosophies and perspectives of renown biophilosopher, Jonas Salk, who—after developing the first effective vaccine to prevent polio, one of the great achievements in public health—expanded his vision beyond the prevention of individual diseases to that of addressing the basic problems of humankind. This vision is very much in line with our current understanding of and approach to planetary health. In response to changing conditions, planetary limits, and evolutionary pressure, new values, new communities, and new modes of interacting will likely emerge and be integrated with developments in science, technology, economics, the arts, and international relations, resulting in our survival and enhanced health and well-being.

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