The crypto‐trade volume, GDP, energy use, and environmental degradation sustainability: An analysis of the top 20 crypto‐trader countries

Mohsin, Muhammad; Naseem, Sobia; Zia‐ur‐Rehman, Muhammad; Baig, Sajjad Ahmad; Salamat, Shazia

doi:10.1002/ijfe.2442

Cited by 52 publications

(32 citation statements)

References 89 publications

(90 reference statements)

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“…Based on the Vector Autoregression lag order selection criteria, lag three is chosen for Bitcoin prices by three information criteria, i.e., the Akaike information criterion (AIC), SIC, and Hannan-Quinn information criterion (HQC). In contrast, in fatal accidents, AIC and HQC have chosen lag three (Mohsin et al, 2020b). After selecting the appropriate lag length, the next step is to check the long-run relationships among the variables used in this research.…”

Section: Resultsmentioning

confidence: 99%

Examining the Psychological State Analysis Relationship Between Bitcoin Prices and COVID-19

2021

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The rapid worldwide spread of COVID-19 forced many countries to enforce complete lockdown and strict quarantine policies. The strict lockdown and quarantine affect the psychological state of people toward cryptocurrency. The current research aims to examine the effect of COVID-19 on Bitcoin prices concerning cumulative deaths and confirmed cases. The research comprises daily data from January 20, 2020, to April 30, 2020, during the initial worldwide breakout of COVID-19. This research employed the augmented Dickey-Fuller test to check the stationarity of data, the co-integration test for the interdependency of variables, and the vector error correction model for identifying the direction and long or short-run relationship between Bitcoin prices and COVID-19. The research results show that Bitcoin prices are negatively significant and related to COVID-19 in the short-run. A unidirectional relationship between Bitcoin prices and cumulative deaths is also observed. Investors and the public’s psychological state were positively significant to Bitcoin prices in the long-term because of cashless transactions, unbanked, and less risky virus traveling. The second reason behind the positive psychological relation is un-centralization and easy-to-make payments by Bitcoin. This study’s finding provides timely evidence to decision-makers on Bitcoin price volatility and its impacts on the public’s psychological states regarding COVID-19.

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Section: Resultsmentioning

confidence: 99%

Examining the Psychological State Analysis Relationship Between Bitcoin Prices and COVID-19

2021

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“…AI-assisted virtual assistants, chatbots, and information centers help the health sector diagnose and test for COVID-19 and play a vital role in facilitating the maintenance of social distancing to stop the spread. The cryptocurrency trade significantly influenced environmental sustainability, which is econometrically confirmed by the vector error correction model (Mohsin et al, 2020a). The banking sector is symmetrically and asymmetrically affected by the volatility of market risk.…”

Section: Introductionmentioning

confidence: 64%

The Effect of COVID-19 Pandemic on Service Sector Sustainability and Growth

Xiang¹,

Rasool

Hang

et al. 2021

Front. Psychol.

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Coronavirus disease (COVID-19) is having an unprecedented and unpredictable impact on the world's economy. The pandemic has driven the world toward adapting to the current circumstances regardless of the business, sector, or industry. The coronavirus epidemic (COVID19) has affected the global economy and service sector. The purpose of the current study is to assess the effect of COVID-19 on service sector growth and sustainability. Global sectors and industries are trying to anchor themselves amidst the pandemic. The study focuses on the sectors that are badly hit by the outbreak and discussed the strategies and responses different countries are taking to sustain their economies. This study concludes that the vital role of Information Technology and digitization supports the economies in their fight against the pandemic and helps them sustain themselves amid crises. This study also contributes to the body of literature by suggesting IT-based solutions for various industries to elevate effective responsiveness and avoid significant losses.

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“…In Table 2 , augmented Dickey–Fuller (ADF) results for integrating work and fatal accidents with four main causes are presented. The null hypothesis of a unit root in series has failed to reject at a level even at a 10% level of significance [ 45 ]. Both dependent variables series, i.e., work and fatal accident, also obtained stationarity at the first difference at 1%.…”

Section: Resultsmentioning

confidence: 99%

The Causes of Occupational Accidents and Injuries in Romanian Firms: An Application of the Johansen Cointegration and Granger Causality Test

Ivaşcu

Sarfraz

Mohsin

et al. 2021

IJERPH

Self Cite

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Organizational risks are present in any activity, so it is important to manage them properly. The jobs are dynamic and involve a series of processes and activities. The entire human resource is exposed to several risks. If these risks are approached correctly, the organizational capacity to achieve its objectives and vision will increase considerably. This paper aims to investigate the relationships between work accidents (fatal and non-fatal) and the causes that contribute to their occurrence (causes dependent on the executor, causes dependent on the means of production, workload-dependent causes, and work-dependent causes—the work environment). The augmented Dickey–Fuller (ADF) test is employed to check the data stationarity series, while the Johansen test determines the cointegration relation of variables. The data have been collected from Romanian organizations. The vector error correction model (VECM) and Granger causality test are applied for speed of adjustment, nature, and direction of variables’ relationship. This research demonstrated that both data series are free from the unit-root problem at first difference. The lag length criterions select the third lag for model fitness, and Johansen cointegration declares that variables are cointegrated for the long term. The vector error correction model shows the speed of adjustment from the short to the long run is 83.35% and 42.60% for work and fatal accidents. The study results show that fatal accidents have a series relationship with selected cases for the short run and have a long-run relationship with the means of production. Fatal accidents are directly related to means of production. Fatal accidents are not designed by executors, workload-dependent causes, or work environments in the short run. Fatal accidents are directly related to the means of production and sudden incidents happening in the long run. Fatal accidents are considered by executors, workload-dependent causes, or work environments in the short run. In the long run, fatal accidents are directly related to the means of production and sudden incidents happening.

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The crypto‐trade volume, GDP, energy use, and environmental degradation sustainability: An analysis of the top 20 crypto‐trader countries

Cited by 52 publications

References 89 publications

Examining the Psychological State Analysis Relationship Between Bitcoin Prices and COVID-19

Examining the Psychological State Analysis Relationship Between Bitcoin Prices and COVID-19

The Effect of COVID-19 Pandemic on Service Sector Sustainability and Growth

The Causes of Occupational Accidents and Injuries in Romanian Firms: An Application of the Johansen Cointegration and Granger Causality Test

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