Employees' behavioural action towards corporate environmental performance: The moderating effect of moral reflectiveness.

The evolution of the hotel industry's corporate environmental performance cannot be realized without employees acting in an environmentally friendly manner, such as low carbon behaviour. However, a thorough analysis of the factors influencing employees' low-carbon behaviour and hotels' corporate environmental performance has not yet been done. To overcome this literature gap and envision the social identity theory, this study evaluated how employees' green self-efficacy, environmental awareness, and perceived corporate environmental responsibility facilitate staff low carbon behaviour. Also, the study explored the moderation role of employees' moral reflectiveness. Through a purposive sampling technique, data was collected from 455 employees in the hotel industry in South Africa. The partial least squares structural equation model method examined the proposed hypothesis. The empirical findings revealed that: (1) employees' green self-efficacy, environmental awareness, and perceived corporate environmental responsibility positively influence their low carbon behaviour. (2) Employees' low carbon behaviour directly and positively affected hotels' corporate environmental performance. (3) The outcome supported the moderation effect of employees' moral reflectiveness on the linkage between green self-efficacy and low-carbon behaviour. The practical and theoretical implications are discussed. The limitations and areas of future research are further outlined.

Socioeconomic and demographic characteristics influencing the hesitancy and refusal of COVID-19 vaccine in Ghana.

Background: Ghana was the first country to receive the coronavirus vaccination in West Africa from AstraZeneca or Oxford. Ghana plans to vaccinate 20 million out of the 32 million population and provide the necessary doses utilizing multilateral and bilateral agreements. As Ghana begins vaccinating its citizens, there is some skepticism about administering the coronavirus vaccine (CVV). This research aimed to analyze the socioeconomic and demographic characteristics influencing vaccine hesitancy (VH) and refusal among Ghanaians. Methods: The multinomial logistics regression model was employed to investigate the relationship between respondents' socio-demographic characteristics and VH. The research data were gathered between March to June 2021 through an online survey. Findings: The findings of this study indicated that approximately 92.75% of the 400 respondents have heard about CVV. The study suggests that less than 5% of the participants have so far received the CVV. Most of the respondents (36.8%) indicated rejecting the CVV. Interestingly, male participants [adjusted odds ratio (AOR) = 1.048; 95% confidence interval (CI): 0.532-2.063] with higher educational backgrounds (AOR = 2.11; 95% CI: 0.870-5.121) had higher odds of being CVV hesitant or refusers. Low economic class, rural settlers, unmarried individuals, and unemployed people also had higher odds of being VH or refusers. The survey also shows that most Ghanaians refused to receive the CVV because they did not trust the system to track the vaccine's side or adverse effects. Conclusion: Government can use social media platforms and other media platforms to effectively provide relevant information regarding the full benefit and risks of taking the virus.

Relevance of COVID-19 vaccine on the tourism industry: Evidence from China.

BACKGROUND: Vaccination is indeed one of the interventional strategies available to combat coronavirus disease (COVID-19). This study emphasizes the relevance of citizens' acceptance of the COVID-19 vaccine in assisting global recovery from the pandemic and aiding the tourism industries to return to normalcy. This study further presented the impact of COVID-19 on the tourism industry in China. Also, the study confirmed the past performance of tourism in China to the current tourism-related COVID-19 effects from a global perspective by employing Australia's outbound tourism data from 2008 to 2020 on top 6 destinations, including China, Indonesia, New Zealand, Thailand, the United Kingdom, and the United States. METHODS: Jeffrey's Amazing Statistical Program (JASP) was used to analyze this study. The JASP statistical software was employed to accurately analyze the vaccines administered in China from December 15, 2020, to March 28, 2021. RESULTS: The study results demonstrate an overwhelming acceptance of vaccines in China which will positively and significantly impact the globe's travel and tourism industries. Also, the study findings indicated that industries in tourism are hopeful of regaining the past losses. Further, the study results showed an enormous decline in death and new cases. CONCLUSION: Vaccine acceptance is relevant for the eradication of the COVID-19 pandemic. Therefore, neighborhood and individual-level acceptance of the vaccine will help reduce the challenges facing the tourism industries and the world. The researchers recommend that authorities should strictly check the vaccination certificates of visitors. Furthermore, hoteliers should put adequate measures to monitor all visitors who visit the various tourist destinations.

Hierarchical Structure of Depression Knowledge Network and Co-word Analysis of Focus Areas.

Contemporarily, depression has become a common psychiatric disorder that influences people's life quality and mental state. This study presents a systematic review analysis of depression based on a hierarchical structure approach. This research provides a rich theoretical foundation for understanding the hot spots, evolutionary trends, and future related research directions and offers further guidance for practice. This investigation contributes to knowledge by combining robust methodological software for analysis, including Citespace, Ucinet, and Pajek. This paper employed the bibliometric methodology to analyze 5,000 research articles concerning depression. This current research also employed the BibExcel software to bibliometrically measure the keywords of the selected articles and further conducted a co-word matrix analysis. Additionally, Pajek software was used to conduct a co-word network analysis to obtain a co-word network diagram of depression. Further, Ucinet software was utilized to calculate K-core values, degree centrality, and mediated centrality to better present the research hotspots, sort out the current status and reveal the research characteristics in the field of depression with valuable information and support for subsequent research. This research indicates that major depressive disorder, anxiety, and mental health had a high occurrence among adolescents and the aged. This present study provides policy recommendations for the government, non-governmental organizations and other philanthropic agencies to help furnish resources for treating and controlling depression orders.

Dissipating environmental pollution in the BRICS economies: do urbanization, globalization, energy innovation, and financial development matter?

The question of how Brazil, Russia, India, China, and South Africa (BRICS countries) can substantially dissipate environmental pollution (EVP) remains unsolved. In this regard, this research explores the dynamic association between energy consumption (EGC), economic expansion (EXP), globalization (GLO), energy innovation (ENI), urbanization (URB), financial development (FID), and environmental pollution (EVP) using panel data from 1990 to 2020. This study integrated the augmented mean group (AMG), common correlated effect means group estimator (CC-MG), and fully modified ordinary least square (FMOLS) model approach to estimate the long-run interaction among the series. The findings of this study reveal a positive and significant association between economic expansion, energy consumption, urbanization, financial development, and environmental pollution. In contrast, globalization and energy innovation extensively abate EVP in the BRICS economies. Moreover, the outcome of the Granger causality test indicates that energy consumption and energy innovation have a bidirectional association with EVP. The Granger causality test further revealed a unidirectional causality between globalization, urbanization, financial development, and environmental pollution. Finally, this research has implications for policymakers in the BRICS countries.