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Uncertainties have grown around the world during the last few decades. Pandemic uncertainty has a substantial impact on economic activities, which may have a big influence on energy consumption. The goal of this investigation is to appraise the asymmetric influence of pandemic uncertainty on nonrenewable and renewable energy consumption in the top 10 energy consumer economies of the European Union (Germany, Poland, Spain, Netherlands, France, Italy, Belgium, Sweden, Czech Republic, and Finland). Previously, panel data approaches were utilized to obtain reliable outcomes on the pandemic‐energy consumption nexus, regardless of the fact that various nations did not autonomously exhibit similar relationship. This investigation, on the other hand, implements a special technique "Quantile‐on‐Quantile" that supports us to appraise time‐series interdependence in each economy by providing international yet nation‐specific perceptions of the connection among the variables. Estimates show that pandemic uncertainty reduces both nonrenewable and renewable energy consumption in most selected nations at stated quantiles of the data distribution. Nonrenewable energy consumption is much more influenced by pandemic uncertainty than renewable energy consumption. Furthermore, the rank of asymmetries across our variables differentiates by the economy, emphasizing the need for decisionmakers to pay much attention to pandemics‐related uncertainty and the energy sector. [ABSTRACT FROM AUTHOR]

Limiting CO2 emissions is crucial for sustainable development, environmental protection, and climate change mitigation, ensuring a more resilient and cleaner future. Prioritizing sustainable urbanization renewable energy, and energy efficiency is vital for achieving this prosperous and sustainable future. As a result, we adopt the Fourier testing approach for stationary, cointegration, estimator, and causality, to scrutinize the role of renewable energy, energy efficiency, and urbanization on CO2 emissions in Finland over the period between 1990 and 2020, controlling economic growth and trade openness. The empirical analysis of the Fourier ARDL estimator establishes that energy efficiency measures such as gas and oil efficiency exhibit an adverse effect on CO2 emissions, so energy efficiency mitigates CO2 emissions. Similarly, the study also found that urbanization and renewable energy reduce CO2 emissions. Conversely, economic growth and trade openness induce CO2 emissions. Additionally, the Fourier-Toda-Yamamoto method provides robust evidence regarding the long-term implications of the examined factors. Based on this result, the study emphasizes that implementing a regulatory framework to enhance energy efficiency, promote renewable energy adoption, and support sustainable urban development will be an essential strategy in the global effort to attain the net-zero emissions target, which offers valuable insights to other countries seeking to transition towards cleaner and more sustainable energy sources. [ABSTRACT FROM AUTHOR]

The study aims to analyze the economic determinants of national carbon emissions in a large cross-section of 119 countries. The study followed the 'theory of sustainable development' to assess the national sustainable developmental agenda. The study employed cross-sectional, robust least squares, and Markov switching regression for parameter estimates. The findings indicate that information disclosure, the cost of business start-up procedures, sustainable fuel imports, and renewable energy decrease emissions stock. In contrast, ease of doing business and logistics operations increase it. According to the ex-ante analysis, information disclosure, the cost of business start-up procedures, and environmentally friendly logistical operations would likely reduce emissions stock. Ease of doing business and lower renewable fuel expenditures will almost certainly increase emissions stock in the majority of subsequent years. Over time, information disclosure is expected to significantly impact carbon emissions, followed by renewable energy consumption, doing business, and logistical operations. Sustainable economic policies worldwide make it possible for green technology and environmentally friendly manufacturing to be put into place. [ABSTRACT FROM AUTHOR]

Carbon emission is not only harmful for environment but is also expensive. The goal of financial institutions is increasingly important now that pollution emissions is rising. We used a novel econometric model in this work to assess the effect of green financing, renewable energy, trade openness, industrial upgradation, and financial development on carbon neutrality using data from Chinese cities from 2000 to 2020. According to the conclusions of the econometric research, CO2 emissions is decreased by investments in green finance, renewable energy, and financial development, but CO2 emission is raised by variables like economic growth, energy consumption, trade, and foreign direct investment. Additionally, the growth of sustainable growth helps China to achieve carbon neutrality goals. While the immediate effects of green financing on carbon neutrality through influencing renewable energy are hysterical, the direct impact of funding green on carbon neutrality is longer-lasting and more critical. These finding have significant practical implications for China's efforts to create sustainable financing and renewable energy to accomplish its carbon neutrality objectives against climate change and global warming. • Novel econometric model is used to access the relationship among the variables. • CO2 emission decreased by green finance investment. • CO2 emission increased by development of economic growth and energy consumption. [ABSTRACT FROM AUTHOR]

Carbon emissions are primarily the result of human activity in urban areas. Inadequate sanitary facilities, contaminated drinking water, nonrenewable energy, and high traffic congestion have all impacted the natural ecosystem. Using data from 1975 to 2019, the study assessed the impact of the aforementioned variables on Pakistan's carbon emissions in light of this crucial fact. The ARDL cointegration method was used to estimate the short- and long-run parameter estimates. Urban sanitation challenges and energy consumption increase carbon emissions, which affects the natural environment by raising a country's carbon intensity. Economic expansion confirmed the inverted U-shaped relationship between carbon emissions and economic growth to verify the Environmental Kuznets Curve (EKC) hypothesis in the long run. In contrast, the monotonically rising function of carbon emissions provides evidence of the nation's economic development in the short run. Access to clean drinking water improves population health and encourages the purchase of eco-friendly products. The government must improve sanitation services and use renewable energy sources to enhance air quality. [ABSTRACT FROM AUTHOR]

The United Nation sustainable development goals are largely emphasized on advancement in cleaner production technologies to take action against climate change and maintain the average global temperature less than 1.5°C. The role of carbon pricing, renewable energy, and sustainable food production would be helpful to achieve sustainable development goals in line with technological innovations. This study works in given factors and evaluated the global pace of economic growth towards sustainable development. The ex-ante and ex-post analysis is carried out on the world aggregated data for a period of 1980–2017. The results show that knowledge spillover, combustible renewables & waste, and carbon pricing substantially decreases carbon emissions, whereas trademark applications have a direct relationship with carbon emissions that exhibit the innovation embodied emissions at a global scale. The results support the inverted U-shaped relationship between carbon emissions and global income with a turning point of US$15,800 and US$11,100 by using FMOLS and DOLS estimators respectively. The ex-ante analysis shows that knowledge spillover, trademark applications, and carbon pricing will largely decrease carbon emissions while carbon pricing, food production index, FDI inflows, and broad money supply will decrease fossil fuel emissions for the next 10 years time period. [ABSTRACT FROM AUTHOR]

The linkage between renewable energy resources and environmental influences on economic growth among selected Asian economies play a vital role in sustainable economic development. This study encompasses the panel data sets for eight selected Asian countries, and the period starts from 1990 to 2018. This research relies on the panel vector error correction model (PVECM) for data estimation. The overall findings indicate that biomass, geothermal, and wind power sources of energy have a positive and significant impact on the economic advancement of Asian economies. Besides that, as opposed to the other two renewable energy sources, windpower has a greater impact on economic development. Furthermore, the empirical findings of current research have significant implications towards selected Asian countries' energy policy related to both private and public sector enterprises as it helps in identifying the industrial sectors which have greater contribution towards the economy and their energy requirements in long term. [ABSTRACT FROM AUTHOR]

The world faces a high alert of coronavirus disease 2019 (COVID-19), leading to a million deaths and could become infected to reach a billion numbers. A sizeable amount of scholarly work has been available on different aspects of social-economic and environmental factors. At the same time, many of these studies found the linear (direct) causation between the stated factors. In many cases, the direct relationship is not apparent. The world is unsure about the possible determining factors of the COVID-19 pandemic, which need to be known through conducting nonlinearity (indirect) relationships, which caused the pandemic crisis. The study examined the nonlinear relationship between COVID-19 cases and carbon damages, managing financial development, renewable energy consumption, and innovative capability in a cross section of 65 countries. The results show that inbound foreign direct investment first increases and later decreases because of the increasing coronavirus cases. Further, the rise and fall in the research and development expenditures and population density exhibits increasing coronavirus cases across countries. The continued economic growth initial decreases later increase by adopting standardized operating procedures to contain coronavirus disease. The inter-temporal relationship shows that green energy source and carbon damages would likely influence the coronavirus cases with a variance of 17.127% and 5.440%, respectively, over a time horizon. The policymakers should be carefully designing sustainable healthcare policies, as the cost of carbon emissions leads to severe healthcare issues, which are likely to get exposed to contagious diseases, including COVID-19. The sustainable policy instruments, including renewable fuels in industrial production, advancement in cleaner production technologies, the imposition of carbon taxes on dirty production, and environmental certifications, are a few possible remedies that achieve healthcare sustainability agenda globally. [ABSTRACT FROM AUTHOR]

The United Nation sustainable development goals are largely emphasized on advancement in cleaner production technologies to take action against climate change and maintain the average global temperature less than 1.5°C. The role of carbon pricing, renewable energy, and sustainable food production would be helpful to achieve sustainable development goals in line with technological innovations. This study works in given factors and evaluated the global pace of economic growth towards sustainable development. The ex-ante and ex-post analysis is carried out on the world aggregated data for a period of 1980–2017. The results show that knowledge spillover, combustible renewables & waste, and carbon pricing substantially decreases carbon emissions, whereas trademark applications have a direct relationship with carbon emissions that exhibit the innovation embodied emissions at a global scale. The results support the inverted U-shaped relationship between carbon emissions and global income with a turning point of US$15,800 and US$11,100 by using FMOLS and DOLS estimators respectively. The ex-ante analysis shows that knowledge spillover, trademark applications, and carbon pricing will largely decrease carbon emissions while carbon pricing, food production index, FDI inflows, and broad money supply will decrease fossil fuel emissions for the next 10 years time period. [ABSTRACT FROM AUTHOR]

This study analyzes the impact of green finance and renewable energy on energy efficiency in E−7 economies. We analyzed the nonlinear and asymmetric effects of green finance and renewable energy on energy efficiency. We collected data from 1985 to 2017 and applied the NARDL and 2SLS methods. The results reveal that the differences in green finance development in the E−7 region are as follows: China (0.61), Brazil (0.55), India (0.53), Indonesia (0.49), Mexico (0.37), and Russia (0.39). In 2019, the Gini coefficient was the largest in Russia (0.57), followed by Turkey. Based on empirical findings, the largest barrier to green energy efficiency is insufficient private and governmental investment in the energy sector to improve access to power, to increase energy security and promote economic growth in an environmentally sustainable manner. The findings point to a promising but vulnerable future for renewable energy and energy efficiency deployment in E−7 countries. This paper emphasizes that green financing and renewable energy policy limitations must be addressed to realize the funding potential of energy efficiency in E−7 countries. • We have analyzed the barrieres for renewable energy and energy efficiency. • Non-linear and asymmetric effects is observed on energy efficiency. • We have applied NARDL model to examine the relationship among variables. [ABSTRACT FROM AUTHOR]

In the modern era, surging economic activities heighten energy demand, depleting traditional reserves and harming the environment. Renewable energy emerges as a vital alternative but faces technical, economic, and policy challenges. This study explores the impact of factors like energy grid, government incentives, CO2 emissions, economic growth, and electricity prices on renewable energy adoption in Pakistan from 1990Q1 to 2022Q4. Results reveal a U-shaped relationship between the energy grid and renewable energy penetration in the short and long terms. National support initially boosts green energy but diminishes over time. Economic incentives initially hinder adoption (i.e., 7.445, p < 0.000) but increase in the long run (i.e., −2.881, p < 0.000). Energy prices suppress adoption in the short term (i.e., −0.084, p < 0.050). Income correlates positively in the short term (i.e., 0.006, p < 0.000) but negatively in the long term (i.e., 0.019, p < 0.000). Policy-induced incentives and energy prices drive adoption, with impacts on income observed. Causal relationships and variance decomposition analysis highlight key factors influencing renewable energy integration in Pakistan, thereby informing policy and strategic decisions to foster sustainable energy practices. [Display omitted] [ABSTRACT FROM AUTHOR]

Renewable energy sources are viewed as a promising solution for lowering global carbon emissions. A couple of long-term policy instruments are critical for providing synergy to green energy sources to achieve long-term sustained growth. The study aims to analyze the role of alternative and nuclear energy in reducing carbon damage in a panel of five selected island economies for 2001–2020. The results of panel quantile regression estimates show that access to clean fuel technologies decreases carbon damage with a range of −0.404% (at the 10th quantile) to −0.211 (at the 90th quantile). Further, alternative and nuclear energy decrease carbon damage more at the 40th quantile, i.e., −0.349%, and the lowest at the 70th quantile, i.e., −0.286%. Carbon pricing decreases carbon damage at the 30th and 40th quantiles with an elasticity estimate of −0.042% and −0.035%, respectively. In contrast, renewable energy sources increase carbon damage at a 70th quantile to 90th quantile distribution. Clean fuel technologies work with renewable energy sources to reduce carbon damage. The causality estimates show that carbon damage causes clean fuel technologies, carbon pricing, and renewable energy consumption. On the other hand, carbon pricing encourages clean fuel technologies and renewable energy. Clean fuel technologies Granger cause renewable energy across countries. The forecasting estimates suggest that nuclear power will likely reduce carbon damage with a variance shock of 5.539% over the next ten years. The study concludes that using alternative and nuclear energy is very important for reducing the cost of carbon emissions and making the islands' economies green and clean. [ABSTRACT FROM AUTHOR]

Taking into account factors such as unfavorable climate changes, shrinking fossil fuel resources, low energy efficiency, and the pace of population growth, the transformation towards green and renewable energy is one of the most important goals and challenges facing the world. The energy sector is the source of about 75% of global greenhouse gas emissions and energy-related emissions are reaching new record levels. For the energy transition to succeed, innovation at the level of technology, business processes and policies (local, national, and international) are necessary. Therefore, the aim of this article is to analyze the size, structure, and dynamics of research on innovations in the field of green and renewable energy in the last decade in order to identify the main topics and research trends in this field. The authors conducted a bibliometric review based on the PRISMA guidance together with visualization analysis based on the VOSviewer software. For this purpose, the Web of Science Core Collection (WoS CC) database was used, and based on defined inclusion criteria, the authors selected 1144 records for bibliographic analysis. The database was subjected to a performance analysis from the perspective of the number of publications per year, dominant countries, and journals. Further, science mapping was employed to analyze such features of the publications as co-citations, co-occurrences, and bibliometric coupling. Based on the results, gaps in green and renewable energy innovations were identified and issues for future research were defined and recommended. [ABSTRACT FROM AUTHOR]

Renewable energy has become more popular since it is cost-effective and more efficient than conventional energy sources. Biomass-based renewable energy is primarily used in emerging economies to ensure environmental sustainability. This study examines the asymmetric correlation between biomass energy consumption and CO 2 emissions in the top-10 biomass energy consumer countries (Brazil, Canada, Thailand, China, Italy, India, Germany, USA, UK, and Japan). A new approach "Quantile-on-Quantile (QQ)" is employed by utilizing the data from 1991 to 2018. Biomass energy consumption, with the exception of Thailand, significantly mitigates CO 2 emissions at various quantiles in selected countries. As a robustness check, we used the quantile regression test, whose findings are consistent with the outcomes from the quantile-on-quantile method. However, the degree of asymmetry in the biomass energy-CO 2 nexus varies by country, necessitating extra attention and government vigilance when developing biomass energy and environmental policies. [ABSTRACT FROM AUTHOR]