Evaluating the roles of energy innovation, fossil fuel costs and environmental compliance towards energy transition in advanced industrial economies.

Given the dire state of climate change, investigating key elements that impact the energy transition process and help monitor progress in greenhouse gas emissions to achieve environmental sustainability is of critical importance. The current study explores the association between energy transition, compliance with environmental agreements, fossil fuels costs, environmental technologies, economic growth, and environmental degradation in G20 economies from 1995 to 2019. Our findings from extensive econometric analysis reveal that economic growth, environmental innovation, renewable energy, and environmental compliance facilitate while fossil fuels and environmental degradation hinder the energy transition process. Our findings conclude that developed countries must focus on alternate energy resources to overcome environmental challenges and subsidize renewable energy and environmental technologies to replace fossil fuels with green energy resources methodologically. Further, policy measures have been discussed in detail in the study.

Do renewable energy, environmental regulations and green innovation matter for China's zero carbon transition: Evidence from green total factor productivity.

Rapid developments in environmental infrastructure have contributed to significant improvements in green total factor productivity, but further investigation is required to provide a detailed assessment to understand the policy mechanisms involved. This paper analyzes environmental progress in China through MMQR, CCEMG, and AMG as empirical strategies for 30 provinces in China. Our empirical results reveal that energy optimization through renewable energy is the most effective channel to improve green total factor productivity, though it is not the only available option. Since environmental regulations, infrastructure development, and green technology innovation also directly impact energy efficiency, adopting these within policy channels will positively impact environmental sustainability. Our empirical approach helps suggest novel environmental policy suggestions. In particular, policymakers must introduce structural changes within energy developments to foster renewable energy. Furthermore, China must increase environmental spending to upgrade its energy infrastructure further and solve ecological issues. These insights offer valuable policy guidance for decision-makers in China and globally, aiming to foster economic and environmental sustainability and achieve zero-carbon transition goals.

Environmental taxes, energy transition and sustainable environmental technologies: A comparative OECD region climate change analysis.

The integrated economic reforms in recent years have transformed human life, however, the subsequent rise in environmental challenges necessitates sustainable development goals to ensure net-zero transformation. Within the context of modern energy, economic, and environmental transformation, we deliberate how environmental taxes, energy transition, and sustainable environmental innovation impact climate change in 38 OECD economies. Our robust empirical investigation allows us to report that environmental taxation, sustainable environmental technology, and energy transition lower but GDP and trade openness exacerbate ecological challenges. We also divide the dataset in G7 and the rest of the OECD groups to document the varying impact of environmental policies within OECD economies. Our econometric analysis helps us report novel policy frameworks to solve climate challenges under the UN SDG agenda.

Correlation between environmental pollution indicators and COVID-19 pandemic: A brief study in Californian context.

In December 2019, the novel coronavirus COVID-19 outbreak was first detected in Wuhan Hubei province, China. The April 24, 2020, the Centers for Disease Control and Preventions (CDC) has confirmed more than 39,000 cases, including >1800 deaths. California's Governor Gavin Newsom ordered mandatory stay at home after World Health Organization (WHO) declared COVID-19 as a global pandemic in early March. We have evaluated the correlation between environmental pollution determinants and the COVID-19 outbreak in California by using the secondary published data from the Centers for Disease Control and the Environmental Pollution Agency (EPA). We employed Spearman and Kendall correlation tests to analyze the association of PM 2.5, PM 10, SO2, NO2, Pb, VOC, and CO with COVID-19 cases in California. Our findings indicate that environmental pollutants such as PM10, PM2.5, SO2, NO2, and CO have a significant correlation with the COVID-19 epidemic in California. Overall, our study is a useful supplement to encourage regulatory bodies to promote changes in environmental policies as pollution source control can reduce the harmful effects of environmental pollutants.

How does external debt and governance quality impact renewable energy consumption: novel policy insights from BRICS countries.

Amidst global environmental reforms, the role of energy systems is under scrutiny to promote ecological welfare through low-carbon alternatives. Amongst the solutions, the role of renewable energy as a clean source has become popular to mitigate climate change. However, the impact of debt on renewable energy consumption remains limited in the economic literature. The debt initiatives provide funding for environmental initiatives primarily, while it is also credited as a barrier to limiting the growth of clean energy programs. Within such discussion, the current study extended the dialogue by examining how external debt impacts energy transition in Brazil, Russia, India, China, and South Africa (BRICS) economies in the presence of institutional quality, education expenditures, and banking development. Using the novel CS-ARDL, AMG, and CCEMG tests, the study results showed that external debt decreases renewable energy consumption, while institutional quality, educational expenditures, banking developments, and economic growth are essential elements of green energy developments. Based on these conclusions, this study provides novel policy guidelines to align BRICS energy and economic agendas.

Geopolitical risk, financial development, and renewable energy consumption: empirical evidence from selected industrial economies.

The rapid rise in climate and ecological challenges have allowed policymakers to introduce stringent environmental policies. In addition, financial limitations may pose challenges for countries looking to green energy investments as energy transition is associated with geopolitical risks that could create uncertainty and dissuade green energy investments. The current study uses PTR and PSTR as econometric strategy to investigate how geopolitical risks and financial development indicators influence energy transition in selected industrial economies. Our findings indicate a non-linear DCPB-RE relationship with a threshold equal to 39.361 in PTR model and 35.605 and 122.35 in PSTR model. Additionally, when the threshold was estimated above, financial development indicators and geopolitical risk positively impacts renewable energy. This confirms that these economies operate within a geopolitical context, with the objective of investing more in clean energy. We report novel policy suggestion to encourage policymakers promoting energy transition and advance the sustainable financing development and ecological sustainability.

Economic complexity, greenfield investments, and energy innovation: policy implications for sustainable development goals in newly industrialised economies.

The crucial role of environmental assessment quality has been recognised by environmental and sustainable development goals in addressing climate change challenges. By focusing on the key identifier of environmental assessment, progress can be made towards overcoming climate change issues effectively. The current study considers environmental commitments under COP28 to study the role of economic complexity, greenfield investments, and energy innovation in environmental degradation in newly industrialised economies from 1995 to 2021. We employ novel panel estimations from CS-ARDL, CS-DL, AMG, and CCEMG to confirm that economic growth and greenfield investments degrade environmental quality. On the other hand, energy innovation and urbanisation improve environmental sustainability. Lastly, we confirm the EKC hypothesis for economic complexity as well. Given the reported empirical findings, the study suggests policymakers must focus on economic complexity to transform industrial sectors' economic potential. Furthermore, foreign investment projects must be linked with environmental goals to increase renewable energy capacity.

Exploring the role of economic and institutional indicators for carbon and GHG emissions: policy-based analysis for OECD countries.

Most of the developed countries across the globe have targeted to attain sustainable economic growth. With this focus, the current study evaluated 29 OECD countries over the time period of 1990 to 2018 to analyze the influence of economic and environmental indicators, i.e., export diversification, institutional quality, macrocosmic variables on carbon dioxide, and greenhouse gas emissions. The current study used the quantile regression and generalized method of moments approach on the selected panel. Our comprehensive econometric approach allows us to reveal that export diversification negatively affects carbon emissions but promotes greenhouse gas emissions. Similarly, institutional quality, economic growth, financial development, and economic growth helps to reduce carbon emissions but increase greenhouse emissions. In comparison, trade openness exhibits a positive influence on carbon emissions but a negative on greenhouse gas emissions. Besides, urbanization is found one of the major reasons for environmental degradation. In light of empirical fact findings, this study commends some innovative policy insights for scholars, governors, and policymakers.

Does geothermal energy and natural resources affect environmental sustainability? Evidence in the lens of sustainable development.

Climate change and global warming have been driven by a rise in carbon dioxide (CO2) concentrations in recent decades, posing a danger to environmental sustainability. Thus, this research scrutinizes the effects of two types of energy (coal and geothermal) and natural resources on CO2 emissions in 10 newly industrialized countries (NICs). The study also considers the role of financial globalization using a data between 1990 and 2019. This research applied a fresh nonparametric econometric technique termed "method of moments quantile regression (MMQR)." This approach is resistant to outliers and produces an asymmetric connection between variables. Furthermore, the long-run estimators (AMG and CCEMG) are employed as a robustness check. The findings reveal that natural resources, coal, and economic growth contribute to the degradation of the environment in the NICs in all quantiles (0.1-0.90). However, geothermal energy aids in enhancing environmental sustainability at all quantile distributions (0.1-0.90). Our findings are robust with alternative methods (AMG and CCEMG). The research's outcomes have the potential to help NICs nations design policies. Finally, based on the research results, a policy framework is proposed to solve the objectives of SDGs 7 and 13.

Review of measurement of sustainable development goals: a comprehensive bibliometric and visualized analysis.

The global focus on evaluating environmental performance means that sustainable development goals must be prioritized to preserve environmental sustainability. In order to accomplish the SDGs, it is crucial that activities be preferred and that methods be developed to assess their effectiveness. As a result, the techniques used for the measurement and assessment of the SDGs have increased in significance for all countries. Researchers and academics create these technologies through research and invention. By undertaking a bibliometric analysis, this study aims to identify the scholarship in the area of SDG assessment and measurement. The analysis was produced by collecting the related studies from the Web of Science database. The information was retrieved, and a thorough and organized analysis was done to give crucial insights on the chosen issue. The analysis revealed the most often cited articles, important institutions that contributed, leading research-involved nations, and institutions. To evaluate the varied collection of techniques accessible for the goal of evaluating SDGs, a thorough review of the most cited works is conducted and provides a bird's eye view of research on mechanisms for measuring the outcomes of SDGs.

Role of renewable and non-renewable energy consumption in environmental quality and their subsequent effects on average temperature: an assessment of sustainable development goals in South Korea.

Environmental quality is a global concern, and an accurate assessment of environmental progress has emerged as a key element in achieving sustainable development goals. The study offers a two-pronged contribution by analyzing the interplay between renewable energy consumption, traditional energy consumption, and urbanization on environmental quality while simultaneously testing the impact of environmental quality on average temperature. Distinguishing itself from prior research, the study employs both carbon emissions and ecological footprint to ensure an intricate and reliable analysis. Current study analyzes data from 1970 to 2022 from South Korea to indicate that energy-environment association is influenced by energy consumption, urbanization, and economic growth, while renewable energy consumption is key in long-term environmental sustainability. Our extensive econometric analysis allows us to suggest that South Korea need to prioritize renewable energy, and green growth is prioritized so that economic growth and green agenda are synchronized to overcome environmental challenges. Addictingly, there is need to devise long-term environmental policies to strengthen the role of environmental innovation in energy productivity and boost renewable energy consumption.

Oil price shocks, stock market returns, and volatility spillovers: a bibliometric analysis and its implications.

The current research paper identifies the current dynamics in the oil price-stock market nexus to provide a research overview and suggest further research directions. We used bibliometrix R package to examine 684 studies to identify research trends in oil price shocks, stock market returns, and volatility spillover effects. We recognize the most influential authors, publications, and research institutions and their significance within the current scientific literature. We further analyzed research themes to observe impediments in the existing literature and suggest new research directions to summarize that disaggregated sectoral analysis and meta-analysis approach by including moderator analysis will broaden the research contribution in the future. Lastly, we conclude our investigation by identifying new research avenues.

Discovering the evolution of Pollution Haven Hypothesis: A literature review and future research agenda.

In order to reduce environmental degradation, there has been an increased focus on identifying the main conftributors to environmental degradation and reducing carbon footprints to promote sustainable development. Although the recent focus on institutional and policy reforms has led to a higher focus on environmental discussion, little is known about the status of research on the Pollution Haven Hypothesis (PHH). Hence, the current study evaluates the research dynamics of this field by recognizing most central researchers and key publication outlets from the perspectives of most citations and productivity, research directions, common keywords, countries with the highest academic contribution, and changes in research matrices. Our selection of 494 journal articles from the WOS indicates that King Saud University and the University of Wah were the most productive research institutions, and China was the most productive geographical region. Environmental Science & Pollution Research was identified as the most common outlet for research publications. We also identified strong academic cooperation, notably between China and Pakistan. Moreover, the co-occurrence network identified the Pollution Haven Hypothesis and economic growth nexus, trade, pollution haven and developing economies and FDI, carbon emissions, and pollution haven nexus as the three main prevailing research themes. Lastly, we provide useful policy implications to maximize the impact of environmental reforms and avoid environmental degradation.

Long-term statistical assessment of meteorological indicators and COVID-19 outbreak in hot and arid climate, Bahrain.

The COVID-19 pandemic has significantly impacted the global lifestyle, and the spreading of the virus is unprecedented. This study is aimed at assessing the association between the meteorological indicators such as air temperature (°C), relative humidity (%), wind speed (w/s), solar radiation, and PM2.5 with the COVID-19 infected cases in the hot, arid climate of Bahrain. Kendall and Spearman rank correlation coefficients and quantile on quantile regression were used as main econometric analysis to determine the degree of the relationship between related variables. The dataset analysis was performed from 05 April 2020, to 10 January 2021. The empirical findings indicate that the air temperature, humidity, solar radiation, wind speed indicators, and PM2.5 have a significant association with the COVID-19 newly infected cases. The current study findings allow us to suggest that Bahrain's relatively successful response to neighboring GULF economies can be attributed to the successful environmental reforms and significant upgrades to the health care facilities. We further report that a long-term empirical analysis between meteorological factors and respiratory illness threats will provide useful policy measures against future outbreaks.

An outlook on the development of renewable energy, policy measures to reshape the current energy mix, and how to achieve sustainable economic growth in the post COVID-19 era.

Currently, COVID-19 due to emergence of various variants shows no signs of slowing down and has affected every aspect of life with significant negative impact on economic and energy structures around the world. As a result, the governments around the world have introduced policy responses to help businesses and industrial units to overcome the consequences of compliance with COVID-19 strategies. Our analysis indicates that global energy sector is one of the most severely affected industries as energy price mechanisms, energy demand, and energy supply have shown great uncertainty under these unprecedented economic and social changes. In this regard, we provide brief overview of demand, supply, and pricing structure of energy products as well as policy mechanisms to provide better outlook about how industrial sector can cope with energy consumption in the post pandemic era. We further propose changes in the existing policy mechanisms so that transition towards renewable energy sources under different environmental agreements can be achieved. Moreover, as a reference, we outline major challenges and policy recommendations to ease energy transition from fossil fuels to environmental friendly energy mix.

Spatial distribution of carbon dynamics and nutrient enrichment capacity in different layers and tree tissues of Castanopsis eyeri natural forest ecosystem.

Forest ecosystem carbon (C) storage primarily includes vegetation layers C storage, litter C storage, and soil C storage. The precise assessment of forest ecosystem C storage is a major concern that has drawn widespread attention in global climate change worldwide. This study explored the C storage of different layers of the forest ecosystem and the nutrient enrichment capacity of the vegetation layer to the soil in the Castanopsis eyeri natural forest ecosystem (CEF) present in the northeastern Hunan province, central China. The direct field measurements were used for the estimations. Results illustrate that trunk biomass distribution was 48.42% and 62.32% in younger and over-mature trees, respectively. The combined biomass of the understory shrub, herb, and litter layers was 10.46 t·hm-2, accounting for only 2.72% of the total forest biomass. On average, C content increased with the tree age increment. The C content of tree, shrub, and herb layers was 45.68%, 43.08%, and 35.76%, respectively. Litter C content was higher in the undecomposed litter (44.07 %). Soil C content continually decreased as the soil depth increased, and almost half of soil C was stored in the upper soil layer. Total C stored in CEF was 329.70 t·hm-2 and it follows the order: tree layer > soil layer > litter layer > shrub layer > herb layer, with C storage distribution of 51.07%, 47.80%, 0.78%, 0.25%, and 0.10%, respectively. Macronutrient enrichment capacity from vegetation layers to soil was highest in the herb layer and lowest in the tree layer, whereas no consistent patterns were observed for trace elements. This study will help understand the production mechanism and ecological process of the C. eyeri natural forest ecosystem and provide the basics for future research on climate mitigation, nutrient cycling, and energy exchange in developing and utilizing sub-tropical vegetation.

Investigating the Co-movement Nexus Between Air Quality, Temperature, and COVID-19 in California: Implications for Public Health.

This research aims to look at the link between environmental pollutants and the coronavirus disease (COVID-19) outbreak in California. To illustrate the COVID-19 outbreak, weather, and environmental pollution, we used daily confirmed cases of COVID-19 patients, average daily temperature, and air quality Index, respectively. To evaluate the data from March 1 to May 24, 2020, we used continuous wavelet transform and then applied partial wavelet coherence (PWC), wavelet transform coherence (WTC), and multiple wavelet coherence (MWC). Empirical estimates disclose a significant association between these series at different time-frequency spaces. The COVID-19 outbreak in California and average daily temperature show a negative (out phase) coherence. Similarly, the air quality index and COVID-19 also show a negative association circle during the second week of the observed period. Our findings will serve as policy implications for state and health officials and regulators to combat the COVID-19 outbreak.

Scientific data-driven evaluation of academic publications on environmental Kuznets curve.

This study aims to provide a detailed overview of environmental Kuznets curve hypothesis using bibliometric analysis for the Web of Science (WOS) database. Our analysis provides an overview of research trends, journals and most influential authors. China has contributed the most scientific publications; followed by the USA, Turkey, and Pakistan. Muhammad Shahbaz, Beijing Institute of Technology, and Environmental Science and Pollution Research are the most productive author, research institute, and research journal in EKC publications. Trend analysis of researchers, academic and country-level, reveal that publications in the environmental Kuznets curve have upward trend; also, cocitation analysis indicates that EKC publications are closely related. "Economic growth and income inequality" (1955) by Simon Kuznets is considered to be the basic literature, and "environmental Kuznets curve hypothesis: A Survey" by Dinda (2004) is the most cited research article in the literature. Keywords and abstracts analysis further reveals that carbon emissions, renewable energy, energy consumption, economic growth, and sustainable development are the hot topics in current literature. We propose that joint research projects between industrial and emerging economies will promote research activities.

A bibliometric analysis and systematic literature review of tourism-environmental degradation nexus.

This study aims to provide a comprehensive knowledge map of tourism and environmental degradation literature review based on scientific articles published between 1999 and 2020. The study provides an overview of research, influential authors, and journals. The PR China has maintained the lead in academic research with the most contribution in academic research in recent years. Sustainability, the Chinese Academy of Sciences, and Katircioglu are the most productive journal, academic institution, and author in the field of tourism and environmental degradation, respectively. The degree of research contribution among researchers, institutional and national level, has an upward trend in recent years, but the research contribution among author level is higher than the institutional and national level. Furthermore, co-citation analysis suggests that research articles in the field are closely related. "Investigating the influence of tourism on economic growth and carbon emissions: Evidence from panel analysis of the European Union" authored by Lee is the most cited article. Our analysis of abstracts and keywords shows that climate change, ecotourism, carbon emissions, economic growth, and energy consumption are the hot spots of academic literature. We suggest that research collaboration between developed and developing nations should be promoted in creating sustainable tourism reforms.

Evaluation of One Belt One Road publications: a bibliometric and literature review analysis.

AbstractThe aim of the "One Belt and One Road" (OBOR) project proposed by China is to encourage extension of global value chains, facilitate regional integration and increase efficient resource allocation. In recent times, scientific literature has examined the investment decisions of the OBOR investment and how it will affect the governmental policies, environmental initiatives, and bilateral flow of economic resources. Current study, based on Web of Science database, uses bibliometric methodology to map the research trends in OBOR publications. We contribute in the economic literature in the associated fields of OBOR publications in the following ways: (1) identify the most influential researchers, articles, and academic institutions, (2) mapping the interdisciplinary character of OBOR investments and its bibliometric similarity to adjacent fields, (3) visualize nature and trends of the research field, and (4) synthesizing future research areas. Although OBOR initiative has received considerable traction, but to this date, there is no bibliometric study on this topic. The findings of current study will help policymakers and academics to navigate the OBOR literature, provide a systematic basis for developing the field, and suggest promising future research avenues.