This paper examines the time-frequency relationship between the number of confirmed COVID-19 cases, temperature, exchange rates and stock market return in the top-15 most affected countries by the COVID-19 pandemic. We employ Wavelet Coherence and Partial Wavelet Coherence on the daily data from 1st February, 2020 to 13th May, 2020. This study adds to the literature by implementing the Wavelet Coherence technique to explore the unexpected outbreak effects of the global pandemic on temperature, exchange rates and stock market returns. Our results reveal (i) there is evidence of cyclicality between temperature and COVID-19 cases, implying that average daily temperature has a significant impact on the spread of the COVID-19 disease in most of the countries; (ii) strong connectedness at low frequencies display that COVID-19 cases have a significant long-term impact on the exchange rate returns and stock markets returns of the most affected countries under study; (iii) after controlling for the effect of stock market returns and temperature, the co-movements between the confirmed COVID-19 cases and exchange rate returns becomes stronger; (iv) after controlling for the effect of exchange rate returns and temperature, the co-movements between the confirmed COVID-19 cases and stock market returns become stronger. Apart from theoretical contribution, this paper offers value to investors and policymakers as they attempt to combat the coronavirus risk and shape the economy and stock market behavior.
PurposeConventional economic contexts and value creation exert on the extensive use of intangible resources whose value is much greater than the tangible assets. In particular, intellectual capital (IC) is recognized as an important source of value creation for firms. However, the field of IC is majorly dominated by large firms, and little has been done in exploring IC in small and medium enterprises (SMEs). Within this context, the purpose of this article is to contribute to the body of literature on IC in the SMEs context by investigating the different dynamics of IC and understanding its impact on their organizational performance and processes.Design/methodology/approachThe study has contextualized an integrative review of literature collected from Web of Science (WoS) and further analyzed integrating the bibliometric and manual review in a systematic approach.FindingsThe paper summarizes the key findings highlighting how SMEs can grasp IC in their core competencies and operational processes to achieve sustainable business performance. The study provides theoretical propositions highlighting the conceptual underpinnings of the literature on IC in SMEs and proposed methods outlining the methodological issues arising out of the diverse empirical/quantitative approaches adopted in the previous literature. Furthermore, empirical findings from the literature show that IC management affects a broad range of financial performance metrics in SMEs, however, sometimes with unexpected and mixed results. Hence, more research to replicate prior studies and corroborate extant research in both similar and different contexts would be desirable.Research limitations/implicationsThe study adopts an integrative review to understand the context of IC in SMEs; however, it does not study the synergy between varied IC components individually and their role in SMEs performance. Furthermore, the review relates IC to SMEs and does not cover the role of IC in large corporations.Originality/valueThe originality of this paper lies in its contribution to the body of knowledge in the field of IC and SMEs by exploring IC's impact on SME performance, especially the market performance, knowledge management (KM), strategic business models, sustainability performance (corporate social responsibility [CSR]), innovation and their intercollaborations (varied stakeholders).
The Covid-19 epidemic is a public health emergency of international concern. It poses a massive risk for the human race across the planet, calling for the need to take measures at the local, regional, national, and global levels. South Asian countries stand more vulnerable to the pandemic due to their dense population, poor infrastructure, and low surveillance system. This paper aims to understand the challenges from the Covid-19 pandemic for South Asia; and investigates the strategic and operational responses to this pandemic by policymakers and healthcare professionals, respectively, in South Asia. The study uses interviews and opinions of policymakers and doctors, from the South Asian region, involved in tackling the Covid-19 crisis. The qualitative analysis is performed on these interviews and opinions by using NVivo 12 software. The findings indicate that policymakers and healthcare providers across South Asia have been showing efficient teamwork while dealing with this pandemic. The healthcare administrators being at the operational level, convey the challenges they face to the policymakers who then respond to them at a strategic level.
Graphical abstract This paper examines the nexus between the Covid-19 confirmed cases, deaths, meteorological factors, including an air pollutant among the world’s top 10 infected countries, from 1 February 2020 through 30 June 2020, using advanced econometric techniques to address heterogeneity across the nations. The findings of the study suggest that there exists a strong cross-sectional dependence between Covid-19 cases, deaths, and all the meteorological factors for the countries under study. The findings also reveal that a long-term relationship exists between all the meteorological factors. There exists a bi-directional causality running between the Covid-19 cases and all the meteorological factors. With Covid-19 death cases as the dependent variable, there exists bi-directional causality running between the Covid-19 death cases and Covid-19 confirmed cases, air pressure, humidity, and temperature. Temperature and air pressure exhibit a statistically significant and negative impact on the Covid-19 confirmed cases. Air pollutant PM2.5 also exhibits a significant but positive impact on the Covid-19 confirmed cases. Temperature indicates a statistically significant and negative impact on the Covid-19 death cases. At the same time, Covid-19 confirmed cases and air pollutant PM2.5 exhibit a statistically significant and positive impact on the Covid-19 death cases across the ten countries under study. Hence, it is possible to postulate that cool and dry weather conditions with lower temperatures may promote indoor activities and human gatherings (assembling), leading to virus transmission. This study contributes both practically and theoretically to the concerned field of pandemic management. Our results assist in taking appropriate measures in implementing intersectoral policies and actions as necessary in a timely and efficient manner. Causal relations of Meteorological factors and Covid-19 (2 models used in the study) Supplementary Information The online version contains supplementary material available at 10.1007/s11356-021-12668-5.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.