Search results

Coronavirus disease 2019 COVID-19 is a health and humanitarian disaster threatening the livelihood and nutritional security of the people globally. This study examined the impacts of COVID-19 pandemic-related non-pharmaceutical measures on households' livelihood and food security in Pakistan.

Data collected through an online survey from 712 households were analyzed through descriptive statistics, t-test, and binary logit model.

More than 71% of the total households asserted that COVID-19 had affected their livelihoods negatively. Results revealed that food insecurity among households had increased more than two folds during one year of the COVID-19 compared to the pre-pandemic period. Moreover, the number of households in food insecure and severely food insecure groups had also increased significantly during the pandemic. Increasing monthly income was negatively associated with the COVID-19 induced food security and livelihood shocks implying that households with lower monthly income were likely to suffer more from the COVID-19. Households having agriculture as their main source of livelihood were 35 percentage points less likely to suffer the negative effects of the pandemic compared to wage earners. Wage-earners were 29 percentage points more likely to suffer worsened food security than salaried persons during the COVID-19 period. A large proportion of the households were forced to change their nutritional patterns to negate the adverse consequence of the pandemic on their livelihood and food security.

The cross-sectional nature of the collected data does not allow developing a causal relationship between COVID-19 implications and the food security of the households.

The pandemic has affected every sphere of life in developing countries but there is no study to assist the policymakers that how to minimize the impacts of the COVID-19 on the food security of households. Therefore, the study will fill this gap in the literature and help policymakers in developing countries to develop strategies to lessen the impact of the pandemic on food security.

This study aims to explore the factors influencing the post-pandemic intentions of Chinese residents to participate in outbound travel. The mechanism by which residents' perception of the coronavirus disease (COVID-19) influenced their outbound travel intentions are studied.

This study developed an extended theory of planned behavior (TPB) model and used structural equations to analyze data received from 432 questionnaires. Responses were obtained through a combination of online surveys and a traditional paper-based distribution of questionnaires.

Results showed that attitude, subjective norms, perceived behavioral control and past outbound travel behavior have significant positive effects on post-pandemic outbound travel intentions. Although the perception of COVID-19 directly and negatively influences outbound travel intentions, it also has an indirect influence on outbound travel intentions through the mediating effect of non-pharmaceutical interventions. The authors also found that risk tolerance has a negative moderating effect on the direct impact of residents' perception of COVID-19 on their travel intentions.

The findings can serve as a reference for formulating appropriate tourism development policies by government agencies, tourism management departments and tourism enterprises in destination countries.

This study developed an extended TPB model by adding more constructs into the TPB model. Compared with the original TPB model, the extended TPB model has better explanatory power of post-pandemic travel intentions. The study also provides evidence for the applicability of the TPB model in studying travel intentions within the context of major public health emergencies and has expanded the application scope of the TPB model.

新冠肺炎疫情后中国居民出境旅游意愿的影响因素研究······································——基于疫情感知的扩展TPB模型

摘要

本研究致力于探索新冠肺炎疫情后（以下简称“疫情”）中国居民出境旅游意愿的影响因素, 以及疫情感知对出境旅游意愿的作用机制。

本文以TPB理论为基础, 通过构建扩展TPB模型, 并利用结构方程对432份问卷进行数据分析。问卷通过网络发放与传统纸质问卷调研相结合的方式获得。

态度、主观规范、感知行为控制及过去出境旅游行为对中国居民疫情后出境旅游意愿具有显著正向影响; 疫情感知在直接负向影响出境旅游意愿的同时, 还通过非药物干预行为的中介作用间接影响出境旅游意愿; 在疫情感知对出境旅游意愿的直接影响中, 风险容忍度起着负向调节作用。

研究结果对旅游目的地政府、旅游管理部门及旅游企业制定相应旅游发展政策具有一定前瞻性参考价值。

本文通过在原始TPB模型的基础上加入更多变量, 进而构建了扩展TPB模型。与原始模型相比, 扩展TPB模型对疫情蔓延背景下中国居民疫情后出境旅游意愿有着更好的解释力和预测力。本文证实了在突发重大公共卫生事件背景下TPB模型对于研究旅游意愿的适用性, 扩展了TPB模型的应用范围。

Investigación sobre los factores que influyen en la voluntad de viajar al extranjero de los residentes chinos después de la nueva epidemia de neumonía coronaria: un modelo extendido de TPB basado en la percepción de la epidemia

Resumen

Este estudio tiene como objetivo explorar los factores que influyen en las intenciones posteriores a la pandemia de los residentes chinos de participar en viajes al extranjero. Se estudia el mecanismo por el cual la percepción de los residentes sobre la enfermedad por coronavirus (COVID-19) influyó en sus intenciones de viajar al extranjero.

Este estudio tiene como objetivo explorar los factores que influyen en la intención de viaje de salida de los residentes chinos después de la pandemia, en particular el mecanismo por el cual la percepción de los residentes de COVID-19 influyó en sus intenciones de viaje de salida.

Los resultados mostraron que la actitud, las normas subjetivas, el control conductual percibido y el comportamiento de viajes de ida y vuelta en el pasado tienen efectos positivos significativos sobre la intención de viajar de ida después de la pandemia. Si bien la percepción de COVID-19 influye directamente de forma negativa en la intención de viaje de ida, también influye indirectamente en la intención de viaje de ida a través del efecto mediador de las intervenciones no farmacéuticas. También encontramos que la tolerancia al riesgo tiene un efecto moderador negativo sobre el impacto directo de la percepción de los residentes sobre el COVID-19 en la intención de viaje.

Nuestros hallazgos se pueden utilizar como referencia para las agencias gubernamentales, los departamentos de gestión del turismo y las empresas turísticas en los países de destino en la formulación de políticas de desarrollo turístico adecuadas.

Este estudio desarrolló un modelo TPB extendido agregando más constructos en el modelo TPB. En comparación con el modelo TPB original, el modelo TPB extendido tiene un mejor poder explicativo de las intenciones de viaje posteriores a una pandemia en el contexto de una pandemia. Este estudio también proporcionó evidencia de la aplicabilidad del modelo TPB para estudiar las intenciones de viaje en el contexto de las principales emergencias de salud pública y amplió el ámbito de aplicación del modelo TPB.

This study aims to examine how the theory of planned behaviour and technology acceptance theory can be used to understand the adoption of non-pharmaceutical interventions (NPIs). The relationships between attitudes, behavioural intentions towards using NPIs, actual use of NPIs and word-of-mouth (WOM) were examined and compared between early and late adopters.

A survey was conducted to test the hypotheses with partial least squares structural equation modelling (n = 278).

The results indicate that relationships between attitudes, intentions and behavioural intentions were positive and significant in the whole data set – and that there were differences between the early and late adopters. WOM had no substantial relationship with actual usage and early adopters’ behavioural intentions.

This research gives a better sense of how WOM impacts attitudes, behavioural intentions and actual usage among early and late adopters of NPIs and highlights the effectiveness of WOM, especially among late adopters of NPIs. Furthermore, using the TAM allows us to make specific recommendations regarding encouraging the use of NPIs. A new three-stage communications model is introduced that uses early adopters as influencers to reduce the NPI adoption time by late adopters.

The purpose of this paper is to investigate the impact of the COVID-19 pandemic on company innovation, specifically centering on the quantity and quality of innovation. The paper aims to provide a comprehensive understanding of whether the epidemic inhibits innovation and the role of digital transformation in mitigating this negative impact.

The paper uses a quasi-experimental study of the COVID-19 pandemic and constructs a differential model to analyze the relationship between the epidemic and firm innovation in three dimensions: total, quantity and quality. The paper also uses a difference-in-difference-in-differences model to test whether digital transformation of firms mitigates the negative impact of the epidemic and its mechanism of action.

The results show that COVID-19 significantly reduced the overall level of firm innovation, primarily in terms of quantity rather than quality. Furthermore, this study finds that digital transformation plays a pivotal role in mitigating the pandemic’s adverse impact on innovation. By addressing financing constraints and countering demand insufficiency, digital transformation acts as a catalyst for preserving and fostering innovation during and after the pandemic.

This study extends the current research on the pandemic’s impact on firm innovation at the micro level. It offers valuable insights into strategies for fostering digital transformation among Chinese enterprises in the post-pandemic era.

This study aims to explore the efficacy of government policy directions in mitigating the effects of the COVID-19 pandemic by employing a panel of 22 countries throughout the 2020-second quarter of 2022.

The panel autoregressive distributed lag (ARDL) model is employed to examine this phenomenon and to investigate the long-run effects of government policy decisions on infection and mortality rates from the pandemic.

The study reveals the following key findings: (1) Income support and debt relief facilities and stringent standards of governments are associated with reduced infection and death rates. (2) The response of governments has resulted in decreased mortality rates while simultaneously leading to an unexpected increase in infection rates. (3) Containment and healthcare practices have led to a decrease in infection rates but an increase in mortality rates, presenting another counterintuitive outcome. Despite the expectation that robust government responses would decrease infection rates and that healthcare containment practices would reduce mortality, these results highlight a lack of health equity and the challenge of achieving high vaccination rates across countries.

To effectively combat the spread of COVID-19, it is crucial to implement containment health practices in conjunction with tracing and individual-level quarantine. Simply implementing containment health measures without these interconnected strategies would be ineffective. Therefore, policy implications derived from containment health measures should be accompanied by targeted, aggressive, and rapid containment strategies aimed at significantly reducing the number of individuals infected with COVID-19.

This study concludes by suggesting the importance of implementing economic support in terms of income, and debt relief has played a crucial role in mitigating the spread of COVID-19 infections and reducing fatality rates.

To effectively combat the spread of COVID-19, it is crucial to implement containment health practices in conjunction with tracing and individual-level quarantine. Simply implementing containment health measures without these interconnected strategies would be ineffective. Therefore, policy implications derived from containment health measures should be accompanied by targeted, aggressive, and rapid containment strategies aimed at significantly reducing the number of individuals infected with COVID-19.

This research makes a unique contribution to the existing literature by investigating the impact of government responses on reducing COVID-19 infections and fatalities, specifically focusing on the period before COVID-19 vaccinations became available.

Health authorities have introduced non-pharmaceutical interventions (NPIs) with the aim of reducing the spread of viruses. Against the backdrop of social marketing, normative and utility theories, the purpose of the paper is to examine the relationships between user centric measures such as perceived effectiveness, user satisfaction, and value for effort on intentions to continue to use NPIs. Furthermore, the moderating role of value for effort on user satisfaction and, subsequently, intentions to continue to use NPIs was also considered.

A cross-sectional online survey was completed in British Columbia, Canada (N = 287). Analysis was done with partial least squares structural equation modeling.

The results show that the relationships between user centric measures are positive and significant on intentions to continue to use NPIs. Furthermore, value for effort moderated the relationship between user satisfaction and intentions to continue to use NPIs – but the relationship was negative. Thus, the higher values of the value for effort construct cause the relationship between user satisfaction and reuse intention to somewhat diminish.

The results confirm the positive and significant relationships between user centric measures in the context of the use of NPIs and introduce a new understanding of the effect of value for effort on the relationship between user satisfaction and intentions to use NPIs. This enables health officials to better understand how to encourage the use of NPIs.

Between 2020 and spring 2022, health safety was the new pressing concern among the risks at major events. It seemed that it – respectively hygiene as part of infection control – was as important as event safety if an event in Germany was to be approved. Problems aroused in terms of an equal implementation in practice. This article therefore addresses how safety and hygiene aspects interacted during event planning and implementation phases.

The authors draw on qualitative data from a German research project. They use results from eleven semi-structured expert interviews and four field observations at major events. One guiding assumption in the content analysis is that there are major interrelations between event and health safety concepts, which become visible during planning and the implementation of event-related technical, organisational and personal measures.

The empirical data shows that hygiene is not perceived as an integral part of event safety, but rather as a disconnected pillar beside the “classical” event safety. This is reflected in an imbalanced attention as well as in separate, disintegrated concepts. This disconnectedness leaves room for unwanted interplays between event and health safety as well as potential legitimacy facades.

Most studies to date focus on the effectiveness of hygiene concepts and impacts of COVID-19 on the event sector in general without taking a closer look at interactions between event safety and health safety.

During the coronavirus (COVID-19) pandemic lockdowns, stay at home or work from home, many have argued that the westernised non-pharmaceutical interventions (NPI) do not provide remedial in low-income countries like Nigeria, where informal job seekers, street traders, informal labourers and artisans depend mainly on the informal economy. By applying social solidarity (SS) and community-based approach (CBA), the authors evaluate individual acts (trust, altruism and reciprocity) during the lockdown and how these practices evolve from individual approaches to collective actions.

This study reflects on pragmatism research paradigm that enables researchers to maintain both subjectivity in their reflections and objectivity in data collection and analysis. The authors adopt a qualitative method through purposeful and convenience sampling procedure. Data were analysed thematically to identify elements of SS, individual acts, collective or community actions and perceptions.

The findings reveal that COVID-19 had a disproportionate impact (lack of food and a fall in daily income) on workers, informal job seekers, informal businesses operators and the poor households. As such, the study developed a reflective model of solidarity exhibited by individual acts and collective acts (practices of resource pooling, information sharing, women empowerment, distribution of palliatives and donations) within trusted circles that helped people cope with the lockdown experiences.

Solidarity represents beliefs, practices of values and norms. The SS exhibited by people through NPI would have implications on planning and monitoring the effectiveness of public health programmes during a pandemic in the future.

The findings of citizens and community actions have implications related to the process of building communities – coming together – and solidarity that enhances social development with implications on community health policy agenda during disasters, emergencies and health pandemic.

This is one of the first studies to analyse the relationship between trust, altruism, reciprocity, SS and CBA during the COVID-19 pandemic. Also, it seems reasonable to clarify the concept of SS given the lack of clarity about the definitions from previous studies.

Purpose: This work provides an empirical analysis of investor behaviour's simultaneous influence due to the surprise effect caused by COVID-19 cases and government responses to market risk. This analysis compares tourism assets risk with other sectors and different types of investors' assets and categories in Europe.

Design: The paper applies an ARIMA with a GARCH model to predict conditional volatility of models for market uncertainty. Nonlinear models, factor analysis and time series linear regression for stationary variables in first differences are applied to predict market uncertainty.

Findings: We demonstrate that market risk does not arise from COVID-19 cases but instead from the surprise effect, as the market accurately predicts future cases. Only the volatility of the sectors Travel, Airline, and Utility are influenced by both surprise effect and government response, but only the travel sector reveals an interaction effect with both government response effort and surprise effect.

Originality: The article mutually studies the simultaneous interactions among investor behaviour due to the surprised effect caused by COVID-19 and government responses to the pandemic and the influence on professional investors' volatility in two asset types and between different sectors.

Practical implications: With this model and results, investors and financial service providers may verify whether or not government intervention during pandemic periods is effective in reducing uncertainty and risk levels on sectors, types of investors and different sorts of assets.