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The study investigates the role of corporate sustainability disclosures in moderating the link between country-level uncertainties (economic policy uncertainty, political uncertainty and uncertainty due to climate change) and firms' risks (total risk, market risk, and default risk) in the worldwide tourism firms. We consider the volume of ESG (environmental, social and governance) activities disclosures by the firms as a proxy of corporate sustainability disclosures. The study also explores the link between sustainability disclosures and firms' risks to validate the risk-reduction hypothesis. The study further highlights the relevance of country-level uncertainties in increasing firms' risks. The findings indicate that corporate sustainability disclosures can assist in mitigating tourism firms' risks during periods of heightened country-level uncertainties. The study also documents the significance of sustainability disclosures in reducing the effect of uncertainties on tourism firms' risks during the COVID-19 period. The results validate the risk-reduction hypothesis indicating that firms' engagement in corporate sustainability practices facilitates risk mitigation efforts during periods of escalated external uncertainties. By demonstrating that firms that engage in sustainability practices and provide required disclosures are better equipped to manage risks during periods of increased uncertainty, the study provides valuable insights for industry stakeholders, including investors, policymakers, and firms themselves. [ FROM AUTHOR] Copyright of Journal of Sustainable Tourism is the property of Taylor & Francis Ltd 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 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 . (Copyright applies to all s.)
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BACKGROUND: Serological methods to conduct epidemiological survey are often directed only against the spike protein. To overcome this limitation, we have designed PRAK-03202, a virus-like particle (VLP), by inserting three antigens (Spike, envelope and membrane) of SARS-CoV-2 into a highly characterized S. cerevisiae-based D-Crypt™ platform. METHODS: Dot blot analysis was performed to confirm the presence of S, E, and M proteins in PRAK-03202. The number of particles in PRAK-03202 was measured using nanoparticle tracking analysis (NTA). The sensitivity of VLP-ELISA was evaluated in 100 COVID positive. PRAK-03202 was produced at a 5 L scale using fed-batch fermentation. RESULTS: Dot blot confirmed the presence of S, E, and M proteins in PRAK-03202. The number of particles in PRAK-03202 was 1.21 × 109 mL-1. In samples collected >14 days after symptom onset, the sensitivity, specificity, and accuracy of VLP-ELISA were 96%. We did not observe any significant differences in sensitivity, specificity, and accuracy when post-COVID-19 samples were used as negative controls compared to pre-COVID-samples. At a scale of 5 L, the total yield of PRAK-03202 was 100-120 mg/L. CONCLUSION: In conclusion, we have successfully developed an in-house VLP-ELISA to detect IgG antibodies against three antigens of SARS-CoV-2 as a simple and affordable alternative test.
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PurposeThis paper aims to examine the impact of investor attention due to the COVID-19 pandemic, Twitter-based sentiment towards uncertainty and public sentiment on the performance of cryptocurrencies.Design/methodology/approachThe authors employ the simple linear regression, quantile regression (QR), the exponential generalised autoregressive conditional heteroskedasticity (EGARCH) model, and sentiment analysis to examine this phenomenon. The authors utilise the daily closing price of the 20 leading cryptocurrencies, the Google search volume index of the "Coronavirus” keyword, the Twitter-based economic uncertainty index, and textual data collected from the Reddit social media platform.FindingsThe results show that investor attention and Twitter uncertainty have a negative (positive) effect on cryptocurrency returns (volatility). The QR results indicate a heterogeneous effect of investor attention and Twitter economic uncertainty on cryptocurrency returns with a higher effect in the lower quantiles. The findings indicate that cryptocurrencies fail to act as a safe haven during this pandemic.Originality/valueThe study is amongst the very few studies that capture the impact of investor attention/sentiment due to COVID-19 on the performance of cryptocurrencies.
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The study investigates and confirms the spillover effects from investor fear, mood, sentiment and uncertainty to the US tourism sector returns. The findings indicate that market fear, investor mood and sentiment are net transmitter of shocks and economic uncertainty and the tourism sector is net receiver of shocks. We also provide evidence that media-hype, infodemic, media-coverage related to COVID-19 and infectious disease equity market volatility impacts the total and directional spillover of information from fear, mood, sentiment and uncertainty to the tourism sector.
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This study was planned to identifying the Corona concerns zone during COVID-19 transmission in India. The death rate was very high due COVID-19 pandemic outbreaks which are one of the main reasons for impairment the countries, and it will takes several years for the re-establishment of the fundamental need to ensure the demand of public supply. Currently, like many countries around the world, India is also facing a drastic health crisis due to Corona virus disease. Analytical Hierarchy Process (AHP) and Geographical Information System (GIS) play important role in making the multi-criteria decisions and identifying the corona concern zone of a larger populated areas across the country in a single platform which can be further helpful for better control, planning, and management during several pandemic outbreaks. The present work is based on the AHP and GIS-assisted identification, analysis, and representation of the state-wise corona concern zone of India. Consequently, the current examination is essential to investigate the Corona concern zone in order to support the management and planning authority of India to improve their strategies in respect to reduce or check the health risk during the emergency of pandemic due to COVID-19. The present study indicated that the state-wise priority of corona concern zone recorded higher in state Maharashtra, Uttar Pradesh, and Kerala as compared to the other part of the India. Hence, GIS and AHP are the potential to identify, observe and analyze the COVID-19 Concern Zone.
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The study analyses the contribution of the tourism, banking, property fund and real estate, and finance and securities industries to the systemic risk of Thailand. Using quantile regression, the study estimates the measures of systemic risk (conditional Value-at-Risk (CoVaR) and delta conditional Value-at-Risk (∆CoVaR)) and examines the relevance of various industries in increasing the systemic risk of Thailand using Kolmogorov – Smirnov test. The findings support the relevance of the tourism industry in significantly contributing to the systemic risk in Thailand. The study also highlights the systemic relevance of the tourism industry during the COVID-19 period in Thailand, when the industry was severely impacted, which adversely affected its systemic risk. [ FROM AUTHOR]
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In this study, we examine the impact of COVID-19 pandemic on the return, volatility and liquidity of the cryptocurrencies using panel data analysis. We consider the four variables related to the COVID-19 pandemic: (i) percentage change in total confirmed cases, (ii) percentage change in total recovered cases, (iii) percentage change in total death cases, and (iv) the investor’s attention towards the COVID-19 pandemic. The findings indicate that percentage change in recovered cases and investor attention towards COVID-19 have a significant positive impact on returns of cryptocurrencies. The volatility in cryptocurrencies is negatively influenced by the percentage change in recovered cases. Moreover, the percentage change in recovered cases has a significant negative impact and investor attention towards COVID-19 has a significant positive impact on the liquidity of cryptocurrencies.
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Purpose This paper aims to examine the impact of investor attention due to the COVID-19 pandemic, Twitter-based sentiment towards uncertainty and public sentiment on the performance of cryptocurrencies. Design/methodology/approach The authors employ the simple linear regression, quantile regression (QR), the exponential generalised autoregressive conditional heteroskedasticity (EGARCH) model, and sentiment analysis to examine this phenomenon. The authors utilise the daily closing price of the 20 leading cryptocurrencies, the Google search volume index of the "Coronavirus" keyword, the Twitter-based economic uncertainty index, and textual data collected from the Reddit social media platform. Findings The results show that investor attention and Twitter uncertainty have a negative (positive) effect on cryptocurrency returns (volatility). The QR results indicate a heterogeneous effect of investor attention and Twitter economic uncertainty on cryptocurrency returns with a higher effect in the lower quantiles. The findings indicate that cryptocurrencies fail to act as a safe haven during this pandemic. Originality/value The study is amongst the very few studies that capture the impact of investor attention/sentiment due to COVID-19 on the performance of cryptocurrencies.
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The paper investigates the impact of national-level economic and political uncertainties on the quantity of environmental, social, and governance (ESG) sustainability disclosures by the tourism sector firms. The findings indicate that with the increase in economic and political uncertainties, tourism firms make more of the sustainability disclosures mainly to build good relationships with various stakeholders and to spread good word of mouth about the firm?s contribution to social welfare and environmental conservatism. The findings show the role of sustainability disclosures in moderating the impact of economic uncertainty on firm value during the COVID-19 period and global financial crisis period.
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The study was relatively undertaken at the time of Covid-19 pandemic in Bilaspur District of Chhattisgarh state, India, to know the overall economic structure of gross expenditure, profitability structure, production cost concept, net returnes, benefitcost ratio (BCR) of rice crop under three categories of farm holders. Purposive as well as multistate random sampling methods were adopted for the research study. A total of 30 farmers were selected from the categorized three group's viz. small, medium, and large farmers. With the help of a prepared pre-tested interview schedule, a survey method was applied for primary data collection. The actual gross and net return of rice grower was needed to know at the situation of the covid-19 pandemic. So that could reach on real cost and net returns structure and explain it under three different farms size holders, therefore worked on this vital subject of the overall economic profile. This research revealed that Cost C2, C3, production cost (Rs. /quintal) at C3, net profit at C3, and (BCR) benefit-cost ratio at C3 in one acre of small rice grower was Rs. 27662, Rs. 30,428.2, Rs. 1521.41, Rs. 19571 and 1:1.64 respectively. Thus, cost C2, C3, cost of production (Rs. /quintal) at C3, net profit at C3, and the benefit-cost ratio at C3 in one acre of medium rice grower was Rs. 31576.08, Rs. 34,733.68, Rs. 1447.23, Rs. 25266.32 and 1:1.72 respectively. Similarly, cost C2, C3, cost of production (Rs. /quintal) at C3, net profit at C3, and the benefitcost ratio at C3 in one acre of large rice grower was Rs. 32908.08, Rs. 36,198.8, Rs. 1447.95, Rs. 26301.12 and 1:1.72 respectively. After jointly calculating the categories of data based on farms size, it revealed that the average total expenditure, Cost 2, C3, production cost (Rs./q) at C3, net profit at C3, and BCR at C3 were Rs. 30715.38, Rs. 30715.39, Rs. 33786.92, Rs. 1472.19, Rs. 23712.81, and 1:1.69 respectively. According to findings medium and large farmers do higher production of rice crop in one acre comparison of the small farmer. Labor cost is more in the rice farming in the study area, need to them the economical planning that could help ineffective use of input and get maximum profit through better farming.
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The present study examines the relationship between Indian economic policy uncertainty (IEPU) and the different sector volatilities (SVs) of the Indian economy over the period 2006?2021. The relationship is studied using a multi-scale correlation framework, combining wavelet coherence analysis with the Granger causality test. The findings indicate a stronger relationship between the IEPU and SV for all sectors during COVID-19, primarily in the medium term. While IEPU led to SV during the global financial crisis (GFC), the SVs led to the IEPU during the COVID-19. However, the Granger causality test provides evidence that, in the long term, the SVs cause the IEPU while the IEPU leads to SV in the short term. The IT sector is crucial as its volatility leads to IEPU across all scales. These results have substantial implications for policymakers and portfolio managers.JEL Codes: G10, G17, G32
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This study was planned to identifying the Corona concerns zone during COVID-19 transmission in India. The death rate was very high due COVID-19 pandemic outbreaks which are one of the main reasons for impairment the countries, and it will takes several years for the re-establishment of the fundamental need to ensure the demand of public supply. Currently, like many countries around the world, India is also facing a drastic health crisis due to Corona virus disease. Analytical Hierarchy Process (AHP) and Geographical Information System (GIS) play important role in making the multi-criteria decisions and identifying the corona concern zone of a larger populated areas across the country in a single platform which can be further helpful for better control, planning, and management during several pandemic outbreaks. The present work is based on the AHP and GIS-assisted identification, analysis, and representation of the state-wise corona concern zone of India. Consequently, the current examination is essential to investigate the Corona concern zone in order to support the management and planning authority of India to improve their strategies in respect to reduce or check the health risk during the emergency of pandemic due to COVID-19. The present study indicated that the state-wise priority of corona concern zone recorded higher in state Maharashtra, Uttar Pradesh, and Kerala as compared to the other part of the India. Hence, GIS and AHP are the potential to identify, observe and analyze the COVID-19 Concern Zone.
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In the pandemic of COVID-19, it is crucial to consider the hygiene of the edible and nonedible things as it could be dangerous for our health to consume infected things. Furthermore, everything cannot be boiled before eating as it can destroy fruits and essential minerals and proteins. So, there is a dire need for a smart device that could sanitize edible items. The Germicidal Ultraviolet C (UVC) has proved the capabilities of destroying viruses and pathogens found on the surface of any objects. Although, a few minutes exposure to the UVC can destroy or inactivate the viruses and the pathogens, few doses of UVC light may damage the proteins of edible items and can affect the fruits and vegetables. To this end, we have proposed a novel design of a device that is employed with Artificial Intelligence along with UVC to auto detect the edible items and act accordingly. This causes limited UVC doses to be applied on different items as detected by proposed model according to their permissible limit. Additionally, the device is employed with a smart architecture which leads to consistent distribution of UVC light on the complete surface of the edible items. This results in saving the health as well as nutrition of edible items.
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COVID-19 , Desinfección , Inteligencia Artificial , Humanos , SARS-CoV-2 , Rayos Ultravioleta/efectos adversosRESUMEN
[This corrects the article DOI: 10.1016/j.heliyon.2021.e08124.].
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The study investigates and confirms the spillover effects from investor fear, mood, sentiment and uncertainty to the US tourism sector returns. The findings indicate that market fear, investor mood and sentiment are net transmitter of shocks and economic uncertainty and the tourism sector is net receiver of shocks. We also provide evidence that media-hype, infodemic, media-coverage related to COVID-19 and infectious disease equity market volatility impacts the total and directional spillover of information from fear, mood, sentiment and uncertainty to the tourism sector.
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The ongoing pandemic of novel coronavirus 2019 is rapidly evolving, and newer organ- and system-specific manifestations are being observed. Thrombotic complications and coagulopathy are frequent manifestations of the disease, especially in sick patients, which appear to be unique and distinct from sepsis-induced coagulopathy, disseminated intravascular coagulation and other viral infection-induced coagulation abnormalities. Elevated D-dimers and fibrinogen in the early stage of the disease with minimally deranged prothrombin time and platelet counts are prominent and distinguishing features. Venous and arterial thromboses, as opposed to bleeding events, are the major clinical correlates. There is much to be known about the pathogenesis of COVID-associated coagulopathy; however, the mechanisms overlap with thrombotic microangiopathy, haemophagocytic syndrome and antiphospholipid syndrome compounded by the diffuse endothelial damage. The recommendations regarding the treatment are still evolving, but antithrombotic therapy has a definite role in positive outcomes of sick patients.
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Trastornos de la Coagulación Sanguínea , COVID-19 , Tromboembolia Venosa , Anticoagulantes , Trastornos de la Coagulación Sanguínea/tratamiento farmacológico , Trastornos de la Coagulación Sanguínea/epidemiología , Humanos , SARS-CoV-2RESUMEN
The rapid development of safe and effective vaccines against severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) is a necessary response to coronavirus outbreak. Here, we developed PRAK-03202, the world's first triple antigen virus-like particle vaccine candidate, by cloning and transforming SARS-CoV-2 gene segments into a highly characterized S. cerevisiae-based D-Crypt™ platform, which induced SARS CoV-2 specific neutralizing antibodies in BALB/c mice. Immunization using three different doses of PRAK-03202 induced an antigen-specific (spike, envelope, and membrane proteins) humoral response and neutralizing potential. Peripheral blood mononuclear cells from convalescent patients showed lymphocyte proliferation and elevated interferon levels suggestive of epitope conservation and induction of T helper 1-biased cellular immune response when exposed to PRAK-03202. These data support further clinical development and testing of PRAK-03202 for use in humans.