The evaluation of renewable energy alternatives in Turkey using intuitionistic-fuzzy EDAS methodology.

In recent years, high energy costs, increases in carbon emissions, and concerns about energy supply security have led countries to prioritize renewable energy sources in their sustainable energy policies. The selection and ranking of alternative renewable energy sources is a critical issue in establishing an effective energy policy and ensuring environmental improvement at the national and global levels. This study evaluates Turkey's best renewable energy options using the institutional fuzzy assessment based on distance to mean solution (IF-EDAS) method and aims to find Turkey's best renewable energy alternative. The decision model alternatively uses wind, solar, geothermal, biomass, wave, hydroelectric, and hydrogen energy options. According to the study's empirical findings, while the best alternative renewable energy source for Turkey is solar energy, the best criterion in terms of criteria evaluation is "Technology Maturity". The study also carried out sensitivity analysis, and the results were shared.

The impacts of renewable energy production, economic growth, and economic globalization on CO2 emissions: evidence from Fourier ADL co-integration and Fourier-Granger causality test for Turkey.

Along with the growth and globalization of the whole world economy since the First Industrial Revolution, the production and use of fossil fuels have led to increased CO2 emissions and, ultimately, significant environmental degradation. The impact of globalization, economic growth, and renewable energy sources on CO2 may show trends with different turning points in developing countries, and estimations may need to follow Fourier-type functions to capture the frequency domain. Therefore, the aim of this study is to examine the effects of renewable energy production, economic globalization, and economic growth on CO2 emissions for Turkey in the period 1971-2006 with Fourier autoregressive distribution lag (ADL) cointegration, DOLS, and Fourier-Granger causality tests. The originality of this study is the estimation of a model of CO2 emissions with a Fourier-type function for the first time. The findings indicate a negative relationship between renewable energy production and CO2 emissions and a positive relationship between economic globalization and economic growth and CO2 emissions. In addition, according to the empirical results, there exists a one-way causality relationship between economic globalization to CO2 and economic globalization to renewable energy production, and there is evidence of a bidirectional causality relationship between economic globalization and economic growth in this study.

Household fuel choices and consumption intensity in Pakistan: evidence from HIES data 2001-2019.

The adoption of clean energy (electricity and gas) for domestic purposes has increased over the decades, yet the share of clean energy in total energy consumption remains low. Therefore, this study analyses seven rounds of HIES surveys in Pakistan collected between 2001 to 2019 to understand the energy use patterns and why clean fuel consumption is low among households that have already adopted clean energy. To this end, the present study applied the Probit and Tobit models to examine the determinants of using different fuel types and their consumption intensity. The results show that female-headed households are more likely to adopt and consume more clean fuels such as electricity and gas. Moreover, education, wealth, and urban location have a positive association with clean fuel adoption and consumption. The study also finds that age and household size have a non-linear impact on clean fuel consumption intensity. The study recommends policies to achieve SDG 7 by improving accessibility and affordability by increasing income and the supply of clean fuel. Further, it emphasizes enhancing the knowledge about the benefit of using clean energy through education programs.

Dynamics and Co-movements Between the COVID-19 Outbreak and the Stock Market in Latin American Countries: An Evaluation Based on the Wavelet-Partial Wavelet Coherence Model.

The COVID-19 outbreak and the global uncertainty it causes produce an apparent panic in stock markets. Efforts to explain the economic spillover effects of COVID-19 can guide authorities to design a control policy against the financial impacts of pandemics. The paper examines the effects of the COVID-19 cases on the stock markets in the emerging Latin American countries of Argentina, Brazil, Chile, Colombia, Mexico, and Peru. The paper employs a continuous partial wavelet methodology to observe lead-lag relations between the daily variables of new COVID-19 cases and the stock market index for each Latin American country. Brazilian new COVID-19 cases led the Bovespa (BVSP) index to decline during the whole period, except February and June 2020, at one month-two month-frequency band. The wavelet and phase difference analyses indicate that, except for Brazil, COVID-19 cases did not affect the stock market indexes adversely during the whole sample period but did affect the stock exchange markets negatively during some sub-sample periods of the entire sample of each country. Dynamics of Latin American stock exchange markets in the short and long run can be explained by some other parameters of real and financial sectors and COVID-19 cases.

Connectedness and spillover effects of US climate policy uncertainty on energy stock, alternative energy stock, and carbon future.

Global warming is pressuring policymakers to change climate policies in shifting the global economy onto a net-zero pathway. While financial assets are responsive to policy changes and development, climate change policies are becoming increasingly unpredictable, making policy decision less certain. This study investigates connectedness and spillover effects of US climate policy uncertainty on energy stocks, alternative energy stocks, and carbon emissions futures. We analyzed spillover and connectedness before and after the Paris Agreement. We employed monthly frequency data from August 2005 to March 2021 and applied DY (2012) method and MGARCH approach. We found that world energy stocks and carbon emissions futures are connected to US climate policy uncertainty. Uncertainty in climate policy and world energy stocks act as information transmitters in return spillover, while global alternative energy and carbon market are shock receivers. On volatility spillover, climate policy uncertainty, energy stocks, and carbon emissions future are shocks transmitters, while alternative energy stocks are receivers. We observe increase in connectedness following the Paris Agreement suggesting strengthened global efforts in tackling climate change. DCC and ADCC estimations revealed spillover effects of climate policy on futures returns and volatilities of world energy stocks and carbon emissions futures and the shocks could be transmitted through to the energy sector. During period of uncertainty in US climate policy, carbon allowances can potentially serve as a safe haven for energy stocks and provide downside protection for alternative energy stocks, hence hedging against climate transition risks.

The dynamic analysis of renewable energy's contribution to the dimensions of sustainable development and energy security.

In sustainable development, energy is critical in human activities and shapes a sustainable future. Thus, it is an unignorable element in human development. This paper analyzes the contributions of renewable energy sources (RES)'s to the economic, environmental, and social dimensions of sustainable development. Moreover, we add energy security as a possible fourth dimension into the analysis. For the sample size, we limit the countries members of the OECD and run generalized methods of moments for the period from 1995 to 2015. This method can produce efficient estimators under the problems of endogeneity, omitted-variable bias, measurement errors, and heteroscedastic residuals. According to the results, RES has a small reducing effect (-.007%) on output in the Cobb-Douglas production function for the economic dimension. We found that RES has a positive contribution to the environmental dimension and abates the level of carbon emission (-.093%). RES also confirms the inverted-U shape of environmental Kuznets curve. In the social dimension, RES improves human development and a 1% increase in RES consumption causes to .0045% increase in human development. In the last contribution, RES has a positive effect on sustainable energy supply security in the context of electricity generation (.032%). Although the effects of RES on the environment, social, and energy security are significant, they are limited. These limitations point to barriers that can be overcome over time. Our conclusions recommend that these effects might flourish with technical developments and political support in the long run. Furthermore, public awareness, rising income level, and economies of scale are also beneficial in this process. As a result, RES might be an excellent source for a sustainable future and development. Especially, RES might have remarkable contributions to the 7th, 11th, 12th, and 13th goals of sustainable development.

Export quality, economic growth, and renewable-nonrenewable energy use: non-linear evidence through regime shifts.

Since export has a key role in economic growth in terms of national production quantity, export quality can be considered another important factor regarding the revenue from the export product. Hence, both export and export quality can contribute to the economic growth process positively when the countries' terms of trade have moved in a favorable direction from this point of view, it is essential to examine the relationship between the energy-growth nexus and export quality. Although available seminal studies are monitoring the energy-growth nexus, there exists a limited number of works employing the export quality. Besides, one might claim that there exists no research on how the terms of trade (export quality) alter the economic growth and energy use through regime shifts. Markov regime-shifting models estimate (a) the impact of export and terms of trade on growth, and (b) the effect of growth on the use of fossil energy and renewable energy for the USA at regime 1 and regime 2 for the period 1980:Q4-2019:Q2. After conducting the non-linear analyses, this paper (i) reveals the estimated parameters varying from one regime to another regime through transition probabilities, (ii) finds evidence that (a) export and export quality growths affect positively GDP growth, (b) GDP growth increases fossil fuel consumption growth, (c) renewable energy growth increases at decreasing rate due to GDP growth, and (iii) yields relevant energy-environmental policy proposals by underlying the prominence of terms of trade within growth-energy nexus.

COVID-19 vaccine candidates and vaccine development platforms available worldwide.

The pandemic caused by the worldwide spread of the coronavirus, which first appeared in 2019, has been named coronavirus disease 19 (COVID-19). More than 4.5 million deaths have been recorded due to the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), according to the World Health Organization. COVID-19 Dashboard in September 2021. Apart from the wildtype, other variations have been successfully transmitted early in the outbreak although they were not discovered until March 2020. Modifications in the SARS-CoV-2 genetic material, such as mutation and recombination, have the ability to modify the viral life span, along with transitivity, cellular tropism, and symptom severity. Several processes are involved in introducing novel vaccines to the population, including vaccine manufacturing, preclinical studies, Food and Drug Administration permission or certification, processing, and marketing. COVID-19 vaccine candidates have been developed by a number of public and private groups employing a variety of strategies, such as RNA, DNA, protein, and viral vectored vaccines. This comprehensive review, which included the most subsequent evidence on unique features of SARS-CoV-2 and the associated morbidity and mortality, was carried out using a systematic search of recent online databases in order to generate useful knowledge about the COVID-19 updated versions and their consequences on the disease symptoms and vaccine development.

Is gold favourable than bitcoin during the COVID-19 outbreak? Comparative analysis through wavelet approach.

The novel coronavirus (COVID-19) has tremendously oscillated the global financial markets. Consequently, investors feel pressured to find safe-haven investments during the pandemic crisis. Numerous studies have evaluated bitcoin's safe-haven properties during the COVID-19; however, the present study considered gold as a potential safe-haven for investors of renowned stock markets of Asia, Europe, and the US. The present investigation computed the ratio of gold to bitcoin (Gold_Bitcoin) and compared the safe-haven properties of gold in contrast to bitcoin. The present study analysed the Morlet Wavelet approach and found that most of the time during the COVID-19, gold investments proved to be more beneficial than bitcoin. Remarkably, the findings highlighted that the Gold_Bitcoin ratio increased in higher and lower frequencies combined with CAC40. In the long run, the return on investments in gold increased in contrast to bitcoin returns pooled with DAX30. Also, the Gold_Bitcoin ratio of the US stock market increased during the one-week and one-month cycles of January and August. Likewise, the Hang Seng Index caused the Gold_Bitcoin ratio to rise at a much higher frequency (i.e., the second half of January, the first half of February and April, and the first half of June and August), whereas IBEX35 surged Gold_Bitcoin at a lower frequency (i.e., during January, February, and August). In higher frequency bands, LSE increased the Gold_Bitcoin ratio (i.e., in February and March); nevertheless, Gold_Bitcoin showed a positive connection with FTSEMIB in the one-to-two month's frequency band (i.e., throughout January, February, and August). Interestingly, the returns on the Gold_Bitcoin ratio increased in the SSEC stock market in the high-frequency band (i.e., during March, May, and July 2020).

Environmental pollution and energy research and development: an Environmental Kuznets Curve model through quantile simulation approach.

Energy research and development (R&D) and environmental sustainability is often referred to as two interrelated trends, especially in the current context of the 4th industrial revolution. As a primary input of energy innovations, R&D in the energy sector constitutes a vital tool in addressing global environmental and energy challenges. In this frame, we observe the effects of disaggregated energy R&D on environmental pollution within the Environmental Kuznets Curve (EKC) framework in thirteen developed countries over the period 2003-2018. By employing the panel quantile regression technique, we find an inverted U-shaped nexus between economic growth and carbon emissions only in higher carbon-emitting countries, thus, confirming the EKC hypothesis. However, the U-shaped nexus is more predominant in lower carbon-emitting countries. As such, we demonstrate that there is not any single dynamic in the relationship between economic growth and pollution as reported in previous studies. Contrary to expectations, we find that energy efficiency research and development is more effective in curbing carbon emissions compared to fossil fuels and renewable energy research and development. The empirical results indicate also that only energy efficiency R&D mitigates significantly the CO2 emissions from the 50th quantile up to 90th quantile, although the magnitude of the negative sign is more pronounced (in absolute term) at the highest quantile (90th). In this light, our findings would guide policymakers in the establishment of sustainable energy research and development schemes that will allow the preservation of equilibrium for the environment while also promoting energy innovations.

The roles of economic growth and health expenditure on CO2 emissions in selected Asian countries: a quantile regression model approach.

Continuous economic growth and the rise in energy consumption are linked with environmental pollution. Demand for health care expenditure increased after the COVID-19 pandemic. This study is interesting in modeling the nexus between public and private health expenditure, carbon dioxide emissions, and economic growth. To this end, the present study analyzed the nexus between public and private health care expenditure, economic growth, and environmental pollution for 36 Asian countries for the period 1991-2017. FMOLS, GMM, and quantile regression analysis confirm the EKC hypothesis in Asia. Besides, FMOLS and quantile regressions reached the reducing effects of government and private health expenditures on CO2 emissions. While quantile regression results show that public and private health expenditures can mitigate CO2 emissions; however, these results differ for various levels of CO2. Findings of quantile regression show a significant impact of both public and private health expenditures in reducing CO2 at the 50th and 75th quantiles but results are insignificant for the 25th quantile. Overall, the paper concludes that both government and private health sectors' expenditures caused CO2 emissions to decrease in Asia and that the negative impact of the private health sector on CO2 emissions is greater than that of the government health sector. The concluding remark is that the higher the health spending, the higher the environmental quality will be in Asia. Hence, the health administrators need to increase public and private health expenditures with an effective cost-service and energy-efficient management approach to reach sustainable health services and a sustainable environment in Asia.

COVID-19 outbreak, lockdown, and air quality: fresh insights from New York City.

The outbreak of the COVID-19 pandemic has adversely affected all aspects of life and poses a severe threat to human health and economic development. New York City administration enacted a strict isolation decision at the end of March 2020 to tackle the COVID-19, creating a unique opportunity to assess air quality. Therefore, we investigated the impact of the lockdown on air quality in New York City. We evaluated the air pollutants concentration, i.e., PM2.5, CO, NO2, SO2, and O3, during the lockdown and compared them with pre-COVID-19. We explored the first phase of lockdown through a spatial approach, then formulated the air quality index (AQI) of each pollutant before and during the lockdown. Our findings revealed that (1) there was a significant decline in the concentration level of PM2.5 from 10.3 to 4.0 µg/m3 during phase one of lockdown. (2) NO2 concentrations have been decreased by up to 52% in 1st phase of lockdown. (3) O3 concentration has been increased by 44.4%. (4) Brooklyn, Manhattan, Queens, and Staten Island County encountered 18.75%, 55.62%, 47.14%, and 47% diminution in AQI due to lockdown as compared to 2018, respectively. Our key findings can provide critical environmental implications for policymakers, researchers, academics, and the US government.

COVID-19 and Spillover Effect of Global Economic Crisis on the United States' Financial Stability.

Due to the novel coronavirus pandemic (COVID-19), the lockdown engendered has had a vicious impact on the global economy. This analysis' prime intention is to evaluate the impact of the United States' economic and health crisis as a result of COVID-19 on its financial stability. Additionally, the investigation analyzed the spillover impact of the worldwide economic slowdown experienced by COVID-19 on the United States' financial volatility. The study applied an autoregressive distributed lag (ARDL) model and discovered that the economic and health crises that occurred in the United States portentously upset the future expectations of its investors. Conspicuously, the health crisis in Spain and Italy were ominous spillovers of the United States' financial instability in the short-run. Likewise, an economic crisis ensued in the United Kingdom because of COVID-19 causing spillover for the United States markets' financial instability. The examination evaluated that Asian and African nations' economic crises perilously affects the United States' financial stability. The study determined that financial instability occurred in the United States due to its own economic and health crises persisted for a longer period than financial disequilibrium that occurred in other nations. The analysis suggested some strategies of smart lockdown that the government of the United States and other nations should follow to restart the economic cycle through tighter controls to minimize losses by following the steps of (a) preparing a lockdown checklist, (b) monitoring completion of lockdown tasks, and (c) complete a close-down stock take or count.

The co-movements between geothermal energy usage and CO2 emissions through high and low frequency cycles.

Geothermal energy is considered environmentally friendly than fossil fuel sources, and geothermal power plants are expected to have a low carbon footprint. It is renewable that can last million years. There exist, however, several gases stored under the earth's surface which are released into the atmosphere during digging (TWI 2020). This research paper aims at monitoring the potential positive and negative effects of geothermal on environmental quality (CO2 emissions) in the USA for the period January 1980 to August 2019. The paper employed wavelet and partial wavelet coherence computations to explore the impacts of geothermal energy usage on the environment. The concluding remarks from the estimations can be classified into short-term (1-3-year cycle) results and long-term (3-8-year cycle) results. It is found in the short term that (i) geothermal usage increased CO2 emissions during 1980-1983 and 1993-1997 and (ii) CO2 emissions caused geothermal usage to increase for the period 2000-2009 and after 2015. The paper reveals also that in the long term, (a) geothermal energy consumption increased CO2 emissions during the periods 1985-1990, 1993-1996, and 2013-2016 and (b) geothermal energy consumption decreased CO2 emissions for the period 1996-2008 in the USA. This research work eventually yields some relevant geothermal energy policy suggestions for US policymakers to make geothermal more environmentally friendly.

COVID-19 vaccine candidates and vaccine development platforms available worldwide / 药物分析学报

The pandemic caused by the worldwide spread of the coronavirus,which first appeared in 2019,has been named coronavirus disease 19 (COVID-19).More than 4.5 million deaths have been recorded due to the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2),according to the World Health Organization.COVID-19 Dashboard in September 2021.Apart from the wildtype,other variations have been successfully transmitted early in the outbreak although they were not discovered until March 2020.Modifications in the SARS-CoV-2 genetic material,such as mutation and recombi-nation,have the ability to modify the viral life span,along with transitivity,cellular tropism,and symptom severity.Several processes are involved in introducing novel vaccines to the population,including vaccine manufacturing,preclinical studies,Food and Drug Administration permission or cer-tification,processing,and marketing.COVID-19 vaccine candidates have been developed by a number of public and private groups employing a variety of strategies,such as RNA,DNA,protein,and viral vectored vaccines.This comprehensive review,which included the most subsequent evidence on unique features of SARS-CoV-2 and the associated morbidity and mortality,was carried out using a systematic search of recent online databases in order to generate useful knowledge about the COVID-19 updated versions and their consequences on the disease symptoms and vaccine development.

The shale gas production and economic growth in local economies across the US.

Recently, several seminal works have been drawing attention to the revolution of shale gas production technology of the USA, the impact of shale gas on energy sectors, as well as the influences of shale gas on macroeconomic variables of employment, economic growth, etc. Nevertheless, one may claim that two gaps appear in literature. The first gap is the absence of an econometric study estimating the effect of shale oil/gas on national economies. The more considerable second gap is the absence of econometric analyses revealing the impulses of shale gas on local economies. Therefore, this paper observes the possible causalities between the shale gas and local gross domestic product (GDP) employing quarterly data covering the period 2007-2016 for 12 states in the US. After performing the tests of cross-sectional dependence, heterogeneity, stationarity, and cointegration, the paper conducts the panel Granger causality analyses. The empirical findings depict that (i) there is available unidirectional relationship from local shale gas production to local GDP in Colorado, Ohio, and West Virginia; (ii) there occurs an impulse from GDP to local shale gas production for Louisiana, North Dakota, and Oklahoma; (iii) a bidirectional causality coexists between local shale gas production and GDP in Arkansas, California, and Texas; and (iv) there exists no association between local GDP and local shale gas extraction in Montana, New Mexico, and Wyoming.

The Age Structure, Stringency Policy, Income, and Spread of Coronavirus Disease 2019: Evidence From 209 Countries.

This article aims at answering the following questions: (1) What is the influence of age structure on the spread of coronavirus disease 2019 (COVID-19)? (2) What can be the impact of stringency policy (policy responses to the coronavirus pandemic) on the spread of COVID-19? (3) What might be the quantitative effect of development levelincome and number of hospital beds on the number of deaths due to the COVID-19 epidemic? By employing the methodologies of generalized linear model, generalized moments method, and quantile regression models, this article reveals that the shares of median age, age 65, and age 70 and older population have significant positive impacts on the spread of COVID-19 and that the share of age 70 and older people in the population has a relatively greater influence on the spread of the pandemic. The second output of this research is the significant impact of stringency policy on diminishing COVID-19 total cases. The third finding of this paper reveals that the number of hospital beds appears to be vital in reducing the total number of COVID-19 deaths, while GDP per capita does not affect much the level of deaths of the COVID-19 pandemic. Finally, this article suggests some governmental health policies to control and decrease the spread of COVID-19.

Does waste energy usage mitigate the CO2 emissions? A time-frequency domain analysis.

There exist many seminal studies in the literature searching the influences of total renewable usage (or usage of its some components) on CO2 emissions. However, to the best of our knowledge, there does not exist a research work in the literature considering the co-movements between waste energy consumption and CO2 emissions. This paper aims at observing the possible negative or positive impacts of waste energy consumption on environmental quality (in terms of CO2) by monitoring the whole sample period and all subsample periods in the USA for the monthly period 1980:1-2018:12. This paper searches also the positive or negative lead-lag relations between waste and CO2 emissions, if exist, by considering high frequency (1-3-year cycle) and low frequency (3-8-year cycle) of the same sample period and subsample periods. The findings obtained by this research in general might underline (a) the outcome indicating that waste energy usage has been effective in diminishing the carbon emissions after the second half of the 2010s in the USA and (b) the energy policy act(s) in the USA implemented which eventually resulted in lower CO2 emissions in the USA especially after the second half of the 2000s. The paper suggests as well some policy proposals which might result in positive contribution of waste energy on environmental quality.

Does globalization matter for environmental sustainability? Empirical investigation for Turkey by Markov regime switching models.

Many efforts have been made to theoretically explain and/or empirically investigate how globalization plays a role on environmental quality. However, as in theoretical explanations, empirical literature as well has not reached a consensus yet to enlighten possible effects in developing countries especially. On the one hand, Globalization is expected to contribute to decrease environmental degradation through the technique effect that underlines the role of obtaining clean technologies. On the other hand, this expectation may become reversed since globalization triggers economic activities through the scale effect and movements of dirty industries to developing countries. This paper focuses on how environmental sustainability reacts to globalization in Turkey. To this end, ecological footprint as a proxy for environmental sustainability and KOF globalization measurements are analyzed by using Markov regime switching models. Estimations indicate that growth in financial globalization, politic globalization, trade globalization, human capital, and capital stock reduce the ecological footprint growth of Turkey. Results reveal as well that interpersonal globalization growth diminishes ecological footprint growth. All three regime-switching models yield that growths of economic globalization and social globalization result in an increase in ecological footprint growth in Turkey.

Is there deterministic, stochastic, and/or club convergence in ecological footprint indicator among G20 countries?

Ecological footprint has been widely accepted as an indicator of environmental performance in recent years since it considers carbon dioxide emissions, the collapse of fisheries, the change in land use, and deforestation. This paper investigates, if exists, the convergence in per capita ecological footprint among G20 countries by employing the annual data for the period 1961 to 2014. A bootstrap-based panel KPSS test with structural breaks and club convergence test are carried out. Eventually, this paper is expected to contribute to the literature of natural resources and ecology/environment by (1) monitoring the panel variable of ecological footprint, (2) launching stochastic and deterministic convergence analyses, and (3) estimating the club convergence parameters. In conclusion, the confirmative results in favor of environmental convergence are obtained by exhibiting the stochastic and deterministic convergences and deriving the output of merging clubs.