No abstract

No abstract

This study's key purpose was to examine the impact of COVID-19 on SMEs' business norms and performance in China. The primary quantitative data have been collected through a survey questionnaire based on 330 participants. For analyzing the collected data, the use of the SEM technique has been made in this study. The researcher has adopted the data from the managers and employees belonging to the SMEs in China who are the research respondents. The data has been gathered from a sample size of 330. The number of distributed questionnaires was 340, whereas the responses gained were nearly 335, out of which 330 responses were selected. In the SEM technique, a CFA test was conducted to confirm the model's reliability and validity, whereas the results of path assessment were presented to examine the association between the variables. The findings of this study have confirmed the significant impact of COVID-19 on innovative operational procedures, profitability, remote work, and stakeholder satisfaction and safety.

The purpose of this paper is to analyse disclosure of environmental information (DEI) for a set of 100 companies listed at the Bucharest Stock Exchange (BSE) and identify possible correlations between this and the evolution of some relevant economic and financial measures of companies’ activities. For these purposes we have calculated an index of environmental information disclosure and we employed a system dynamic panel data estimation model and panel corrected standard errors for sampled companies for the 2013–2017 period. The results we have obtained show that sampled companies have a low degree of environmental information disclosure, as the highest registered score was of 15 out of a maximum of 29 points, with an average of merely 6.37 points. Regarding the possible correlations, the tests performed have shown that entity size, expressed by the number of employees, is the factor which positively influences environmental information’s disclosure. Results also evidence that performance determines the quantity of information the firm provides to external users, as opposed to maturity/age. Our study is the first approaching companies from Bucharest Stock Exchange with data for 5 years using a mixed approach (DEI–index and regressions) and we think the results obtained are useful for managers, general public and investors, considering that size and performance greatly influence companies’ environmental awareness.

The tourism industry carries great significance in the economic development of any country. It has been observed that the COVID-19 crisis has affected global travel and tourism more than any other sector globally as well as in China. The travel restrictions, home isolation, and quarantine orders have given massive damage to China's once thriving tourism industry. Despite this phenomenal impact, the existing literature has a dearth of empirical studies related to the impact of the COVID-19 pandemic on the tourism industry. This study attempts to reflect a thorough picture of the current scenario and the crisis effects under different intensities reflected through quantiles of Covid-19 related deaths. The study has utilized the QARDL model and the Wald test on the daily time series data of COVID-19 intensity, the real effective exchange rate, oil prices, and the tourism development index from January 1, 2020, to March 15, 2021. The outcomes indicate that COVID-19 related deaths have a negative, but significant impact on China's tourism in the long run and short run. The oil prices also show a negative influence on tourism in the long run, but there is no significant impact of the oil prices on tourism in the short run. At the same time, the increase in the real effective exchange rates tends to support tourism in the long run, but does not influence tourism development in the short run.