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This study aims to assess the effects of risk perception and management subject satisfaction on consumers' online meal food safety self-protection behavior during the COVID-19 pandemic.

This study uses 742 questionnaires collected via a two-stage online survey conducted during the COVID-19 pandemic, between December 2021 and January 2022. The entropy method, descriptive statistics, ordered logit model, stepwise regression models, interaction terms and decentralization method were used in the quantitative analysis. Respondents’ written responses to self-protection behavior were categorized into five groups.

Less than half of consumers were aware that online food products carry the risk of SARS-COV-2 (44.48%). Between 30 and 40% of consumers took insufficient or no self-protection measures. Risk perception significantly and positively affected self-protection behavior during the COVID-19 pandemic. Consumers' management subject satisfaction has a positive moderating effect on risk perception, with the moderating effect of the satisfaction of online retailers being significant at the 5% level. Risk perception significantly and positively influences consumer self-protection behavior in provinces not affected by the pandemic.

The findings stress the benefits of synergistic interventions by consumers and management subject to food safety measures and the inclusion of tailored interventions during events threatening public health to effectively address food safety. The study offers valuable insights contributing to the improvement of public health outcomes, customer trust and service quality within the online food delivery industry.

This paper explores the effect of pro-environmental measures and green behaviour of star-graded accommodation establishments on the consumer perceived value that domestic tourists associate with them. From our study’s perspective, value creation via green hospitality may promote more responsible and environmentally friendly consumptive behaviour amongst domestic tourists.

Designed as a cross-sectional deductive study, data were generated from an online panel sample of 440 South African domestic tourists. The hypotheses were tested using SmartPLS 4 via partial least squares–structural equation modelling. Further, multi-group analysis assessed and exposed gender-based differences.

The findings imply that green hospitality positively influences the value perceptions of tourists. More in-depth analyses indicate gender-based heterogeneity in the effect of green hospitality aspects on consumer perceived values. Our findings establish pro-environmentalism within the accommodation sector as an approach to initiating pro-environmental behaviour change through value creation.

Our study extends the theory around pro-environmental behaviour and provides empirical evidence from domestic tourists as an under-researched population within the debate around tourism sustainability and green hospitality. The study sheds new light on the importance of supply-side green interventions in tourist behaviour and highlights the potential influence of gender differences. It explores this in the context of an emerging tourism destination in the Global South.

The purpose of this paper is to study the correlation structure of the credit spreads.

The minimal spanning tree is used to find the risk center node and the basic correlation structure of the credit spreads. The dynamic copula and pair copula models are applied to capture the dynamic and non-linear correlation structure.

The authors take the enterprise bond with trading data from January 2013 to December 2013 as the research sample. The empirical study of minimum spanning tree shows that the credit risk of corporate bonds forms a network structure with a center node. Meanwhile, the correlation between credit spreads shows dynamic characteristics. Under the framework of dynamic copula, the lower tail dependence is less than the upper tail dependence, thus, in economic boom period, the dynamic correlation is more significant than in recession period. The authors also find that the centrality of credit risk network is not significant according to the pair copula and Granger causality test. The empirical study shows that the goodness-of-fit of D vine is superior to Canonical vine, and the Granger causality test additionally proves that the center node has influence on few other nodes in the risk network, thus the center node captured by the minimum spanning tree is a weak center node, and this characteristic of credit risk network indicates that the risk network of credit spreads is generated mostly by the external shocks rather than the internal risk contagion.

This paper provides new ideas for investors and researchers to analyze the credit risk correlation or contagion.