Search

A new omni-channel retailing mode, prepositioned warehouses, which developed rapidly in China during the COVID-19 pandemic, was introduced, and a three-level logistics network optimisation model for agricultural products was presented. This study takes into account the characteristics of the omni-channel retail model, which combines the two delivery methods of vehicle delivery and consumer in-store purchase, adds the freshness penalty incurred by fresh agricultural products in the storage process of the prepositioned warehouse, and establishes a mathematical optimisation model of the three-stage logistics network of the prepositioned warehouse that meets the characteristics of omni-channel retailing on the basis of the classical EOQ inventory model. In this work, the shortest delivery time and the smallest total cost are set as the optimisation objectives, and the multi-objective problem is transformed into a single objective through normalisation and linear weighting methods to obtain a mixed-integer optimisation model. This paper solves the problems of site selection for prepositioned warehouses, merchandise replenishment strategies, and optimisation of delivery routes based on data from real cases. Additionally, through sensitivity analysis, the management inspiration of the enterprise is obtained. [ABSTRACT FROM AUTHOR]

Investigating the significant "roles" within financial complex networks and their stability is of great importance for preventing financial risks. On one hand, this paper initially constructs a complex network model of the stock market based on mutual information theory and threshold methods, combined with the closing price returns of stocks. It then analyzes the basic topological characteristics of this network and examines its stability under random and targeted attacks by varying the threshold values. On the other hand, using systemic risk entropy as a metric to quantify the stability of the stock market, this paper validates the impact of the COVID-19 pandemic as a widespread, unexpected event on network stability. The research results indicate that this complex network exhibits small-world characteristics but cannot be strictly classified as a scale-free network. In this network, key roles are played by the industrial sector, media and information services, pharmaceuticals and healthcare, transportation, and utilities. Upon reducing the threshold, the network's resilience to random attacks is correspondingly strengthened. Dynamically, from 2000 to 2022, systemic risk in significant industrial share markets significantly increased. From a static perspective, the period around 2019, affected by the COVID-19 pandemic, experienced the most drastic fluctuations. Compared to the year 2000, systemic risk entropy in 2022 increased nearly sixtyfold, further indicating an increasing instability within this complex network. [ABSTRACT FROM AUTHOR]

There have been limited studies comparing Chinese and American news media in their descriptions of vaccines, especially their use of metaphors in the context of COVID-19. Hence, this paper employs a corpus-assisted critical approach to examine the metaphors used in constructing crisis discourses relating to vaccines in Chinese and American newspapers. The study reveals four conceptual metaphors: WEAPON, MACHINE, TRAVELLER, and CONTEST. The usage of these metaphors is intertwined with wider discursive contexts, which are shaped by the two countries' distinct journalistic and geopolitical/sociocultural contexts. These have resulted in the adoption of different strategies for handling the COVID-19 crisis, reflecting the ideologies of collectivism in China and capitalism in America. The study highlights the significance of metaphors in shaping the ideologies of governments and/or the public towards vaccines through news media. Additionally, this paper provides a useful framework for comparing metaphor usage in two large corpora using Wmatrix. [ABSTRACT FROM AUTHOR]

As an emerging business modality and Internet format, live streaming e-commerce has developed rapidly since its emergence in 2016, especially since the outbreak of the COVID-19 epidemic in late 2019, when an increasing number of businesses from other industries attracted participation. However, with the development of the live streaming e-commerce industry, the industry's market environment is becoming increasingly chaotic. Therefore, during this period, government departments continuously formulate and implement relevant industry policies. In order to exploring the cooperation network structure, policy content distribution, and implementation effectiveness characteristics among publishers, this paper constructs a three-dimensional analysis framework of policy from the perspective of policy tools, policy effectiveness evaluation and policy publishers. The results show that in terms of policy tools, the overall structure of policy tools in the live streaming e-commerce industry is unreasonable, and different types of policy tools are significantly diverse. The proportion of environmental policy tools is greater than that of demand-based and supply-based policy tools, accounting for 62.97%, and among them, the tools related to industry regulation and management account for the largest proportion of the total, which greatly suppresses the enthusiasm of various entities in the industry for development. In terms of policy effectiveness evaluation, most of the policies do not formulate detailed long-, medium-, or short-term goals, nor are the policy priorities, incentive measures, or action modes perfect, indicating that the government's pushing and pulling forces for the live streaming e-commerce industry are insufficient. Finally, in the subject dimension of policy release, the synergy of relevant subjects is constantly improving, but there is also a phenomenon of over-concentration in the synergistic departments. [ABSTRACT FROM AUTHOR]

With the rapid development of artificial intelligence in recent years, intelligent evaluation of college students' growth by means of the monitoring data from training processes is becoming a promising technique in the field intelligent education. Current studies, however, tend to utilize course grades, which are objective, to predict students' grade-point averages (GPAs), but usually neglect subjective factors like psychological resilience. To solve this problem, this paper takes mechanical engineering as the research object, and proposes a new machine-learning-driven GPA prediction approach to evaluate the academic performance of engineering students by incorporating psychological evaluation data into basic course scores. Specifically, this paper adopts SCL-90 psychological assessment data collected in the freshman year, including key mental health indicators such as somatization, depression, hostility, and interpersonal sensitivity indicators, as well as professional basic course scores, including mechanical principles, mechanical design, advanced mathematics, and engineering drawing. Four representative machine learning algorithms, Support Vector Machine (SVM), CNN-CBAM, Extreme Gradient Boosting (XGBoost) and Classification and Regression Tree (CART) that include deep and shallow models, respectively, are then employed to build a classification model for GPA prediction. This paper designs a validation experiment by tracking 229 students from the 2020 class from the School of Mechanical and Electrical Engineering of Henan University of Science and Technology, China. The students' academic performance in senior grades is divided into five classes to use as the prediction labels. It is verified that psychological data and course data can be effectively integrated into GPA prediction for college students, with an accuracy rate of 83.64%. Meanwhile, this paper also reveals that anxiety indicators in the psychological assessment data have the greatest impact on college students' academic performance, followed by interpersonal sensitivity. The experimental results also show that, for predicting junior year GPAs, psychological factors play more important role than they do in predicting sophomore GPAs. Suggestions are therefore given: the current practice in existing undergraduate teaching, i.e., only conducting psychological assessments in the initial freshman year, should be updated by introducing follow-up psychological assessments in each academic year. [ABSTRACT FROM AUTHOR]

The financial market and regional innovation have been severely affected by the COVID-19 pandemic. This paper investigates the impact of financial support on regional innovation at different stages of the COVID-19 pandemic from 2019 to 2021 in China. Before the pandemic, bank support positively influenced regional innovation quantity and quality, while government support had a positive effect on quantity. Throughout COVID-19, both types of support promoted regional innovation quantity and quality. In the post-pandemic era, bank support had a modest positive impact on quantity, while government support influenced both quantity and quality. Evidences from other countries support these findings. The study guides decision-makers to mitigate the pandemic's impact on regional innovation with specific guidance for government and banking institutions. [ABSTRACT FROM AUTHOR]

Background: Residents' adoption of preventive behaviours proved beneficial in preventing the large-scale transmission of the virus during the early stages of the COVID-19 outbreak. It is critical to investigate how social media triggers residents' preventive behaviour decisions during the COVID-19 outbreak. Methods: This paper selected online shopping as a specific preventive behaviour for empirical investigation. An online cross-sectional survey was conducted through the Sojump website from 1 to 15 March 2020, and a total of 1,289 valid questionnaires were collected from China. This paper uses multiple regression analysis to investigate the heterogeneous impacts of different information sources on residents' online shopping willingness and online shopping behaviour and the heterogeneous impacts of different information content in social media on the transformation of residents' online shopping willingness and online shopping behaviour. Results: The findings indicate that both official-media and self-media positively promote residents' online shopping willingness and behaviour, with official-media having a stronger promotional effect than self-media. Furthermore, official-media and self-media can collaboratively promote residents' online shopping willingness and online shopping behaviour. The ease-of-use and usefulness of information significantly promoted the transformation of residents' online shopping willingness. Conclusions: This study analyses the heterogeneous impacts of social media on residents' preventive behaviours from the perspectives of information source differentiation and information content differentiation, which enriches related studies and provides feasible paths for promoting residents' preventive behaviours. [ABSTRACT FROM AUTHOR]

The spread of the COVID-19 had profoundly affected the development of the air transportation. In order to determine the changes in air transportation volume associated with the development of the epidemic, this paper takes Southwest China as the study area. Monthly data and methods, such as the coefficient of variation, rank-size analysis and spatial matching index, were applied. The results found that: (1) during 2020–2022, there was a positive relationship between passenger volume and epidemic development, while freight volume increased for most airports in the first quarter of 2020–2022, particularly in the eastern region; (2) From the perspective of changes in air transportation volume under the development of the COVID-19, among various types of airports, the changes in transportation volume of main trunk airports were more significant than those of regional feeder airports in remote areas; (3) however, under the influence of the epidemic, main trunk airports still exhibited stronger attraction in passenger volume. That is to say, the passengers who chose to travel by air still tended to choose the main trunk airports and formed the agglomeration distribution pattern which around high-level airports in the provincial capital. Whereas the freight volume had a tendency of equalization among airports in Southwest China; (4) Over the course of time, the consistency of the spatial distribution of the number of cases and the passenger or freight volume in southwest China gradually increased. Among them, the spatial matching rate of the passenger volume and the number of COVID-19 cases was always higher than that of the cases and freight volume, which might indicate that there was a stronger correlation relationship. Therefore, it is proposed that the construction of multi-center airport system should be strengthened, the resilience of the route network for passenger transportation should be moderately enhanced, and the risk-resistant capacity of mainline airports and airports in tourist cities should be upgraded, so as to provide references for the orderly recovery of civil aviation and regional development. [ABSTRACT FROM AUTHOR]

According to an article in Pulse International, China is expected to become the world leader in research and clinical trials by 2025. Currently, the United States and China publish the most research papers, but China's progress in various fields, including clinical trials, is rapidly increasing. Other countries such as Japan, South Korea, Brazil, and India are also making significant advancements in clinical trials. The article emphasizes the importance of collaboration between academia and the pharmaceutical industry for successful clinical trials and the need for biotechnology plants in Pakistan. The author also discusses the different phases of clinical trials and the challenges faced in conducting research. The article concludes by highlighting the importance of integrity, ethics, and transparency in research, as well as the potential economic benefits of clinical research organizations. [Extracted from the article]

According to Prof. Javed Akram, President of the Pakistan Society of Internal Medicine, China is expected to become the world leader in research and clinical trials by 2025. Currently, the United States and China publish the most research papers, but China's progress in these fields is significant. Other countries, such as Japan, South Korea, Brazil, and India, are also prioritizing clinical trials. Prof. Akram emphasized the importance of collaboration between academia and the pharmaceutical industry for successful clinical trials and research publications. He also discussed various clinical trials conducted in Pakistan, including those related to COVID-19 and the need for biotechnology plants. Prof. Akram highlighted the phases of clinical trials, the challenges faced, and the importance of integrity, ethics, and transparency in research. [Extracted from the article]

Introduction: The fragility of agriculture makes the food supply chain vulnerable to external risks such as epidemic, conflict, disaster, climate change, economic and energy crisis. The COVID-19 pandemic has spread and continued globally in recent years, resulting in food supply chain disruption and insecurity, which triggers profound reflection on the impacts of public health events (PHEs). Studying the impacts of PHEs on the resilience of food supply chain has great significance to effectively reduce the risks of disruption and insecurity in the future. Methods: Based on the composition of PHEs and the division of food supply chain, this paper adopted the nonlinear Granger causality test to verify the nonlinear causal relationship between PHEs and proxy variables in the food supply chain; then the TVP-VAR-SV model was constructed and its three-dimensional pulse response results were matched with the sensitivity, recovery, and adaptation of the food supply chain resilience to deeply explore the dynamic impacts of PHEs. Results: PHEs has significant nonlinear conduction effects on the resilience of food supply chain, the impacts of PHEs on the partial sector resilience have significant dynamic characteristics in the whole sample period, and the impacts of PHEs on the recovery and adaptation aspects of food supply chain resilience have structural break characteristics. Discussion: The differences, dynamic characteristics and structural breaks of the impacts of PHEs on the resilience of food supply chain are caused by the infectivity and mortality of PHEs, attributes of food products, regulation of supply and demand in the market, behavioral decisions of all participants, changes in the policy environment, and coordination and upgrading of all sectors in the supply chain. [ABSTRACT FROM AUTHOR]

Purpose: During the coronavirus disease 2019 (COVID-19) pandemic, ubiquitous social media has become a primary channel for information dissemination, social interactions and recreational activities. However, it remains unclear how social media usage influences nonpharmaceutical preventive behavior of individuals in response to the pandemic. This paper aims to explore the impacts of social media on COVID-19 preventive behaviors based on the theoretical lens of empowerment. Design/methodology/approach: In this paper, survey data has been collected from 739 social media users in China to conduct structural equation modeling (SEM) analysis. Findings: The results indicate that social media empowers individuals in terms of knowledge seeking, knowledge sharing, socializing and entertainment to promote preventive behaviors at the individual level by increasing each person's perception of collective efficacy and social cohesion. Meanwhile, social cohesion negatively impacts the relationship between collective efficacy and individual preventive behavior. Originality/value: This study provides insights regarding the role of social media in crisis response and examines the role of collective beliefs in the influencing mechanism of social media. The results presented herein can be used to guide government agencies seeking to control the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Using the policy package pilot implemented in Hubei Province, China, in April 2020 as a natural experiment, we use the synthetic control (SC) and synthetic difference in differences (SDID) methods to estimate the impact of the Chinese government's support policy on the economic resilience and to analyze the mechanisms by which it impacts. This study finds that the policy package has contributed to the growth of economic resilience in the pilot provinces, with the policy package increasing the average economic resilience of the pilot provinces by 0.062 compared to their potential resilience. The validity and robustness of the above conclusions are objectively confirmed by multidimensional quantitative outcomes such as placebo tests, ranking tests, and replacements in calculating resilience. The mechanism analysis shows that the investment in real estate development, the stimulus for consumption, and the core industry development are virtual channels for the policy package to promote economic resilience growth in the pilot provinces. Moreover, traditional investment in transportation fixed assets plays a minor role. This paper quantitatively corroborates the academic idea that government governance capacity affects regional economic resilience (RER), and research can provide empirical support for regional economic recovery and policy support under a major crisis. [ABSTRACT FROM AUTHOR]

This paper merges three textual models to construct a series of indicators, which can yield more refined proxies for financial media coverage, to measure the impacts of COVID-19 on Chinese financial markets. Results show that the basic indicator Granger causes the volatilities of bond and stock markets and contributes more to the stock market after the outbreak of COVID-19. Next, four specific market-related indicators have significant effects on the corresponding financial market after the outbreak. Finally, the policy-related indicator has a significant effect on four financial markets after the outbreak, and it causes greater volatility in the stock market. This paper can help the government to stabilize the financial market by managing financial media attention. [ABSTRACT FROM AUTHOR]

In the process of hikers' choosing a destination, searching for information is one of the important elements, playing a decisive role in decision-making. Based on the Baidu Index for "hiking," this paper analyzes the spatial and temporal characteristics of and factors that influenced network attention to hiking in China from 2016 to 2021. The study found that (1) Network attention to hiking in China was generally relatively stable across the period studied, with highly uneven distribution between different months. The search volume was higher on weekends, and mobile searches increased year by year, far exceeding computer searches. (2) Different regions in China experienced different levels of network attention, with the highest levels in the east, followed by the center, and the lowest in the west. Except for East China, network attention to hiking was highly unevenly distributed within each region. (3) The COVID-19 pandemic increased the geographical concentration index and coefficient of variation but reduced the primacy index. A region's level of economic development, degree of network development, population size, and population age structure are proposed as factors that affect network attention to hiking. [ABSTRACT FROM AUTHOR]

In early 2020, the spread of COVID-19 resulted in the wide use of online classes in China. Drawing on Foucault’s disciplinary power and De Certeau’s strategy-tactic dialectic, this paper explores the online learning practice of students in a rural junior middle school at Yu Town in Central China during the pandemic, through interviewing the students, teachers, and parents. The findings show that the teachers and the students engaged in a power game in online education and employed a series of strategies and tactics to realize the control and resistance through the creative use of media technologies. The study reveals the paradox that the rural students’ agency and resistance, enabled by the media technologies, may result in negative consequences for their learning and further broaden the gap between rural and urban students, thus reproducing the system that they are dissatisfied with. [ABSTRACT FROM AUTHOR]

Purpose: This paper examines the impact of the COVID-19 pandemic on low-carbon consumption of dairy products through informational interventions. The empirical findings seek to enlighten developing countries' efforts in coping with climate change and potential dietary transitions. Design/methodology/approach: A randomized controlled trial was designed to examine the effects of purpose-differentiated information interventions on individual dairy consumption. The experiment recruited and randomly assigned 1,002 college students into four groups to receive (or not) environmental or/and health information interventions. Findings: The empirical analysis finds that health and combined information interventions have a positive impact on dairy consumption, while environmental information interventions' effect on dairy consumption is insignificant. In the context of the pandemic, health information interventions positively affected participants' perceptions and preferences for dairy products by delivering knowledge about their role in boosting immunity. However, environmental information interventions failed to do the same things as their insignificant effects on both perception and preference. Originality/value: Macro-external shocks, such as public health events, may offset the impact of universal information interventions promoting pro-environmental behaviors. For a smooth dietary transition to achieve long-term environmental sustainability, diverse stakeholders must be included in more individualized interventions to guide daily consumption, especially in developing countries with large populations. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has posed a severe challenge to the global economic recovery and China's economic growth. Although China has achieved stage victory against the epidemic, the impact and influence of the epidemic on China's economy will linger. On the positive side, the epidemic has led to a dramatic reduction in air pollution levels and a sharp slowdown in greenhouse gas emissions such as CO2. Forecasting China's CO2 emissions under the impact of the COVID-19 epidemic is crucial for formulating policies that contribute to smooth economic development and rational energy consumption. To this end, this paper improves on the traditional grey model, GM(1, N), by developing a novel fractional multivariate nonlinear grey model, FMNGM(q, N). These improvements include two key points. First, different power exponents are assigned to each relevant factor variable to explain their nonlinear, uncertain, and complicated relationships with the system characteristic variables. Second, the integer accumulation is changed to fractional accumulation to preprocess the data, and the Caputo-type fractional derivative is used to characterize the endogenous relationships among the system characteristic data. In addition, the quantum particle swarm optimization (QPSO) algorithm is used to optimize the above parameters with the goal of minimizing MAPE. The collected data on China's CO2 emission from 2001 to 2018 were divided into two parts according to different stages of economic development: 2001–2009 and 2010–2018. Both sets of data were modelled and analysed separately and compared with other models. Results showed that the proposed model had better prediction accuracy than other models. Finally, the model built using the 2010–2018 data was used to forecast China's CO2 emissions. Results show that China's CO2 emissions in 2020 under the impact of COVID-19 will decrease by approximately 3.15% from 2019 to 9893 million tons. The results bear important policy implications for planners in investment in clean energy and infrastructure to achieving the goal of a low-carbon transition. [ABSTRACT FROM AUTHOR]

Susan Sontag's cancer experience made her realize the harm that the inappropriate use of illness metaphors might do to patients. After recovering from breast cancer, she wrote in Illness as Metaphor that illness has been romanticized and stigmatized. She also elaborated on some illness metaphors, such as the military metaphors for illness, which are still the subject of debate. Her novel In America could be regarded as an elaboration on the consequences of such metaphors. The phenomena she depicts in her novel are now visible twenty years later in the real world. Through analysing the personal experiences of the protagonists Maryna and Ryszard of In America, three levels of trauma caused by the illness metaphors used in negative ways are elucidated in this paper: the personal level, the social level, and the national level. Patients and their relations, health care workers, and even countries, such as China, have been hurt by these metaphors. Therefore, to avoid causing harm to more people, it is necessary to alleviate the negative effects of the inappropriate use of illness metaphors, especially in the postpandemic era of COVID-19. The illness narrative is a good way to mitigate the traumas caused by the inappropriate use of illness metaphors. This article attempts to explore the metaphorization of illness, the traumas caused by the inappropriate use of illness metaphors, and the occurrence of similar phenomena during and after COVID-19. The plot of In America is also explored as an illness narrative, and the illness narrative genre is examined as a way to mitigate the negative effects of the inappropriate use of illness metaphors. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has created significant challenges to the global economy, especially within the tourism industry. Economic downturns and psychological barriers make it even more challenging to attract tourists back. This paper explores the stimulating effect of digital travel vouchers on tourist mobility, as well as the heterogeneous effects of different vouchers modes. Using monthly data on tourist inflows in 306 cities from September 2020 to December 2021, collected by a web-crawling tool, and manually gathered information of digital travel vouchers issued during this period, our analyses show that digital travel vouchers can boost tourist inflows. Their effectiveness, however, depends on the method of issuance and the total number distributed. Furthermore, significant spillover effects among neighboring cities are found through a spatial econometric model. [ABSTRACT FROM AUTHOR]

Focusing on the challenges brought about by the devastating COVID-19 pandemic in China and the Chinese government's increasingly stringent regulatory policies, this paper poses the following research questions: During the pandemic and in interactions with the government, why did some non-governmental organizations (NGOs) survive while others were shut down, although most of those that survived were small and medium-sized NGOs? In addressing this question, this paper delves into the strategies adopted by small and medium-sized NGOs to cope with COVID-19. Using data drawn from three years of field observations and research in six major cities in China, this paper finds that four types of small and medium-sized NGOs resorted to different strategies that followed degree of competitiveness and scope of main business. The scarcity of resources resulting to the pandemic plunged NGOs into a competitive survival posture; thus, the strategies for the four types of small and medium-sized NGOs achieved three levels of effectiveness, namely good, medium, and poor. The findings of this paper shed significant light on the diversity and complexity of the survival and development of NGOs under the authoritarian regime of China. [ABSTRACT FROM AUTHOR]

COVID-19 has seriously impacted China's real economy and directly threatened the survival and healthy development of enterprises. Based on the data of Chinese A-share listed enterprises in Shanghai and Shenzhen from 2017 to 2021, this paper empirically examines the impact and mechanism of COVID-19 on enterprises financial distress. The findings are as follows: (1) The impact of COVID-19 significantly increases the risk of enterprises financial distress. (2) There are differences in the effect of COVID-19 on the financial situation of enterprises with different characteristics, with significant negative impacts on enterprises in industries such as mining and manufacturing, as well as smaller enterprises and those located in the central and western regions. (3) Digital transformation and government subsidies can alleviate the negative effects of COVID-19 on enterprises financial distress. The paper provides a basis for enterprises to recover from financial difficulties as soon as possible, enhance competitiveness, and realize sustainable development. [ABSTRACT FROM AUTHOR]

How do events, especially rare external events such as financial crises, wars, natural disasters, and the COVID-19 pandemic, affect the efficacy of entrepreneurial passion to drive organizational innovation? This study investigates the moderating role of events and entrepreneurs' competence to exploit the events (opportunity competence) in the relationship between entrepreneurial passion and organizational innovation. Drawing insights from event system theory, we identified two critical event characteristics (i.e., event novelty and event criticality). Integrating the affect infusion model and the self-verification process in the identity literature, we argue that the two event characteristics and opportunity competence are crucial for entrepreneurs to exploit the benefits of entrepreneurial passion in promoting organizational innovation. After analyzing a survey sample of 435 entrepreneurs in Qinhuai Silicon Alley in China and an online survey of 202 entrepreneurs worldwide, we found that entrepreneurial passion exerts a stronger effect on organizational innovation when events are more novel and more critical to entrepreneurs, and when entrepreneurs have greater opportunity competence. We discuss these findings' theoretical and practical implications later in this paper. [ABSTRACT FROM AUTHOR]

Human-to-human contact plays a leading role in the transmission of infectious diseases, and the contact pattern between individuals has an important influence on the intensity and trend of disease transmission. In this paper, we define regular contacts and random contacts. Then, taking the COVID-19 outbreak in Yangzhou City, China as an example, we consider age heterogeneity, household structure and two contact patterns to establish discrete dynamic models with switching between daytime and nighttime to depict the transmission mechanism of COVID-19 in population. We studied the changes in the reproduction number with different age groups and household sizes at different stages. The effects of the proportion of two contacts patterns on reproduction number were also studied. Furthermore, taking the final size, the peak value of infected individuals in community and the peak value of quarantine infected individuals and nucleic acid test positive individuals as indicators, we evaluate the impact of the number of random contacts, the duration of the free transmission stage and summer vacation on the spread of the disease. The results show that a series of prevention and control measures taken by the Chinese government in response to the epidemic situation are reasonable and effective, and the young and middle-aged adults (aged 18-59) with household size of 6 have the strongest transmission ability. In addition, the results also indicate that increasing the proportion of random contact is beneficial to the control of the infectious disease in the phase with interventions. This work enriches the content of infectious disease modeling and provides theoretical guidance for the prevention and control of follow-up major infectious diseases. [ABSTRACT FROM AUTHOR]

Government censorship—internet shutdowns, blockages, firewalls—impose significant barriers to the transnational flow of information despite the connective power of digital technologies. In this paper, we examine whether and how information flows across borders despite government censorship. We develop a semi-automated system that combines deep learning and human annotation to find co-occurring content across different social media platforms and languages. We use this system to detect co-occurring content between Twitter and Sina Weibo as Covid-19 spread globally, and we conduct in-depth investigations of co-occurring content to identify those that constitute an inflow of information from the global information ecosystem into China. We find that approximately one-fourth of content with relevance for China that gains widespread public attention on Twitter makes its way to Weibo. Unsurprisingly, Chinese state-controlled media and commercialized domestic media play a dominant role in facilitating these inflows of information. However, we find that Weibo users without traditional media or government affiliations are also an important mechanism for transmitting information into China. These results imply that while censorship combined with media control provide substantial leeway for the government to set the agenda, social media provides opportunities for non-institutional actors to influence the information environment. Methodologically, the system we develop offers a new approach for the quantitative analysis of cross-platform and cross-lingual communication. [ABSTRACT FROM AUTHOR]

The global economy has been adversely affected by the COVID‐19 pandemic, leading to setbacks in development progress. Against this backdrop, donor countries have increased their expenditure on medical aid as part of their foreign assistance. As an emerging donor from the developing world, China has also been actively involved in providing medical assistance to other countries since 2020. This paper intends to investigate and elucidate China's motivation to offer medical aid to other countries amid the COVID‐19 pandemic. To this end, it utilizes a combination of quantitative and qualitative research methods. Specifically, the Tobit model is employed to conduct regression analyses on China's medical assistance during the pandemic. Additionally, two case studies, namely Chinese aid to Pakistan and the Democratic Republic of Congo, are examined to gain insights into the specific motivations driving China's medical aid. The results of this paper indicate that China's motivation for providing medical assistance during COVID‐19 is multifaceted, including self‐interested economic and political‐diplomatic factors rather than purely altruistic motives. Furthermore, the allocation of China's medical aid is significantly influenced by whether the recipient country is involved in the Belt and Road Initiative. [ABSTRACT FROM AUTHOR]

Urban parks are important for improving the quality of living environments. Although the impact of parks on housing prices has been well documented, the effects of the COVID-19 pandemic remain vague. This paper analyzes the housing prices of neighborhoods around Meixi Lake park in Changsha, at the initial stage of the COVID-19 pandemic in June 2020 and the stable stage of the recovery period in June 2023, which demonstrates the impacts of urban parks on property pricing and housing choice based on residential transaction data. The results indicate that urban parks are given a high priority in determining people's choices. In June 2020, the risk of epidemic transmission and noise interference lowered the price of property that is close to public parks and recreational facilities. However, good management and social services in residential areas increase housing prices. However, when the pandemic ended, the strong demand for outdoor activities led to a price rise in the properties near Meixi Lake park. People are most likely to choose houses in a neighborhood characterized by good educational facilities and a high-quality living environment. More specially, the houses with a short distance to parks and where residents can enjoy the view of a lake or mountains are preferable to any others. A residential area adjacent to a super large park paired with a small park is the most valuable consideration for property developers and housing consumers. [ABSTRACT FROM AUTHOR]

In this paper, we explore what the travel restrictions during the COVID-19 pandemic reveal about the changing geographies of mobilities and the making of homo sacer, the latter constituted through differentiated control of mobilities. Implemented to protect U.S. public health, travel restrictions imposed on travelers from Mainland China during the early days of the pandemic exemplify how sovereign power that declares a state of emergency and creates bare life can be readily applied to groups of people who previously had privileged access to global mobility. In this sense, bare life does not refer to fixed and disadvantaged social categories but is rather contingently and contextually constituted, through the works of hybrid sovereign regimes. At the same time, however, these travelers are not reduced to a state of zero-agency but reside within a liminal space between soft and hard cosmopolitanisms, as they can still deploy agency and cosmopolitan capital to achieve certain degrees of mobility. By examining how Chinese travelers navigated various travel restrictions and the constantly changing policies to travel to the U.S., this paper explores new spaces of exception and forms of bare life, and argues that homo sacer is dynamically, relationally and recursively constructed, both through apparatus of control and the agency of travelers. [ABSTRACT FROM AUTHOR]

Maritime transport plays a key role in the global and local economy, accounting for 80% of global trade by volume. This makes smooth operation of the maritime transport essential. However, the sector faces the constant risk of various crises and their potential consequences that may significantly impact and disrupt the movement of goods on local, regional, and global levels. In recent years, two notable crises, namely the COVID-19 pandemic and the war in Ukraine, have been observed. This paper aims to analyse how international crises, such as armed conflicts and pandemics, influence maritime traffic and assess their impact on both global and local economies. A comparison is drawn between the periods before and during the COVID-19 pandemic and before and during the war in Ukraine to exemplify the effects of crises. The findings are then extrapolated to apply to potential future crises. Vessel movements are studied using data collected from Automatic Identification Systems (AIS). In our quantitative approach, we analyse big data using dedicated tools and visualisation techniques to gain insights into specific phenomena. The paper identifies economically significant regions for maritime traffic and examines the impact of crises on their performance. Its unique value lies in its flow-based analysis of changes in maritime traffic. The main conclusion is that China's importance for worldwide maritime traffic is increasing. This makes the global economy heavily reliant on China to a substantially greater extent than it is, for example, on Russia. Consequently, any crisis in the China region could exert a dramatic impact on the global economy. The paper also discusses observations of changes in maritime traffic following the outbreak of the war in Ukraine. [ABSTRACT FROM AUTHOR]

International education has become increasingly challenging to manage in an unpredictable world beset by pandemics, regional disputes, and evolving market practices. The last few decades have seen a huge demand for international education in China, and numerous acclaimed international brand names set up operations in China's K12 schooling sector. However, the COVID-19 pandemic exerted a noticeably negative impact on international high schools and their staff in China, and exacerbated a difficult period of management for these institutions. Interestingly, but perhaps unsurprisingly, the actual operation of these educational workplaces remains under investigated in academic studies. This paper therefore attempts to examine international high schools in China by focusing on their teachers and their associated employment motivation, job satisfaction, and dissatisfaction which has been perceptibly influenced by the impact of the COVID-19 pandemic. Through a qualitative, case-study approach which adopted semi-structured interviews, an acclaimed British high school, now closed, was investigated. The study found that international high school teachers were driven by diverse work motives such as the school's reputation, values, salary, environment, and chances for career development. Their job satisfaction was also multi-faceted, and their dissatisfaction in certain areas concerning. That is, they derived an early satisfaction from a range of facets, such as the students, class sizes, initial workloads, autonomy and collegiality. However, these early feelings were replaced by a sense of dissatisfaction and noticeable unhappiness resulting from leadership changes and subsequent management practices, increased workload, unmet employment package expectations and obligations, as well as limited professional development opportunities. This study highlights the importance of recruiting well, generating the right starting and longer-term conditions, retaining key staff and managing astutely. The work will be of interest to policy makers, investors, leaders, managers and staff alike. It will also extend educational research in the areas of teacher motivation, satisfaction and dissatisfaction, and in particular in China in international K12 settings. [ABSTRACT FROM AUTHOR]

This paper aims to tackle the problem of low accuracy in predicting financial distress in Chinese industrial enterprises, attributable to data imbalance and insufficient information. It utilizes annual data on systemic risk indicators and financial metrics of Chinese industrial enterprises listed on the China's A-share market between 2008 and 2022 to construct the adaptive weighted XGBoost-Bagging model for corporate financial distress prediction. Empirical findings demonstrate that systemic risk indicators possess predictive potential independent of traditional financial information, rendering them valuable non-financial early warning indicators for China's industrial sector; moreover, they help to enhance the predictive accuracy of various comparative models. The adaptive weighted XGBoost-Bagging model incorporating systemic risk indicators effectively addresses challenges arising from data imbalance and information scarcity, significantly improving the accuracy of financial distress prediction in Chinese industrial enterprises under the 2015 Chinese stock market crash, the Sino-US trade friction, and the COVID-19 epidemic; as such, it can be used as an efficient risk early warning tool for China's industrial sector. [ABSTRACT FROM AUTHOR]

With the advancement of science and technology and the popularization of the internet, information resources have become more and more abundant, but the attention of investors has become relatively scarce. In the face of surplus information resources, how investors allocate their attention will affect investors' decision making. This study examines the dynamic relationship between investors' attention and China's stock market liquidity, utilizing weekly data based on the component stocks of the Shenzhen Stock Exchange 100 Index in China from January 1, 2018, to December 31, 2020. The analysis reveals that investors' attention, measured by the Google Trends search volume index, negatively affects future stock liquidity. Moreover, a long-term cointegration relationship exists between investor attention and stock liquidity. The negative relationship between investor attention and stock liquidity is robust for an alternative liquidity measure using a stock fixed-effects model. The inverse correlation between investor attention and stock liquidity was more potent before the coronavirus disease 2019 pandemic and weakened amid the pandemic. The findings in this paper can enrich the standard of investors' investment decisions and help investors make objective, rational, and scientific investment decisions. [ABSTRACT FROM AUTHOR]

Covid-19 dramatically changed the way businesses operates. The focus of this paper is virtual trade fairs organized by trade fair organizers in China whose service delivery model was transformed to meet the new needs of customers. Using one well-grounded case and several rounds of interview data in three stages, the paper aims to explore the impact Covid-19 has generated on the event services sector and how SERVQUAL could be applied in an emerging virtual setting. [ABSTRACT FROM AUTHOR]

This paper examines housework reallocation during China's stringent pandemic lockdowns in 2020, where individuals were homebound and job-free while employment status remained unchanged. Utilizing a mixed-method approach, it analyzes 1669 surveys and 100 interviews to understand changes in domestic labor patterns and the underlying reasons. The findings indicate that men increased their participation in grocery shopping but decreased in cooking, cleaning, and laundry during the lockdown. This gender-task pattern was mirrored in multi-generational households, where younger family members often took on these tasks. The reasons articulated for these shifts predominantly converged around the 'doing gender' theory. Women, particularly those working full-time, had more time to engage in household chores. Men, while also having more available time, predominantly focused on grocery shopping, a task that gained masculine connotations during the lockdown. Factors such as perceived differences in household labor quality, difficulty delegating housework, and reduced workload led to women's increased involvement and specialization in domestic tasks. The study challenges the notion that economic factors are the primary drivers of gender-based division of housework. Instead, it suggests that ingrained gender norms continue to dictate domestic roles, as evidenced during the lockdown period devoid of usual economic and time pressures. [ABSTRACT FROM AUTHOR]

Myanmar is a key neighbor for China and an important link in advancing the "Belt and Road" initiative, contributing to both domestic and international economic flows. Despite the border closures and restrictions imposed during the COVID-19 pandemic, the New China-Myanmar Indian Ocean Corridor has seen substantial progress. However, this development has not garnered the attention it deserves, as both national and Yunnan provincial governments continue to prioritize the China-Myanmar Economic Corridor (CMEC). This oversight results from an incomplete understanding of the changes in Myanmar's geopolitical landscape since 2000. Using a framework for national geopolitical landscape analysis, this study examines Myanmar's basic national conditions, principal relationships, and inherent contradictions, revealing how Myanmar's geopolitical landscape has evolved due to the interplay of internal and external factors, cross-field interactions, and strategic games played by multiple geopolitical actors. Specifically, the study discusses the period from 2000 to 2010, characterized by external pressure and internal stability, and the years from 2011 to 2021, marked by external conflict and internal turmoil. The evolving geopolitical landscape in Myanmar has created favorable conditions for building the New China-Myanmar Indian Ocean Corridor. From a geopolitical perspective, this paper explores the reasons behind the necessity of this new corridor and suggests a re-evaluation of China's spatial planning for major infrastructure projects in Myanmar given the country's shifting geopolitical context. The corridor's feasibility--whether measured by distance, time, costs, spatial distribution of domestic ethnic armed conflicts, or Myanmar's post-pandemic economic trends--suggests it is highly workable. In the short term, the new corridor can complement the China-Myanmar Economic Corridor, progressing concurrently; in the long term, it could gradually replace it as the main route for China-Myanmar trade. This study not only enhances understanding of the New China-Myanmar Indian Ocean Corridor but also provides a scientific rationale for its vigorous promotion. [ABSTRACT FROM AUTHOR]

Background: Chinese American immigrants have been underrepresented in health research partly due to challenges in recruitment. Objectives: This study aims to describe recruitment and retention strategies and report adherence in a 7-day observational physical activity study of Chinese American immigrants with prior gestational diabetes during the COVID-19 pandemic. Methods: Foreign-born Chinese women aged 18--45 years, with a gestational diabetes index pregnancy of 0.5--5 years, who were not pregnant and had no current diabetes diagnosis were recruited. They wore an accelerometer for 7 consecutive days and completed an online survey. Multiple recruitment strategies were used: (a) culturally and linguistically tailored flyers, (b) social media platforms (e.g., WeChat [a popular Chinese platform] and Facebook), (c) near-peer recruitment and snowball sampling, and (d) a study website. Retention strategies included flexible scheduling and accommodation, rapid communications, and incentives. Adherence strategies included a paper diary and/or automated daily text reminders with a daily log for device wearing, daily email reminders for the online survey, close monitoring, and timely problem-solving. Results: Participants were recruited from 17 states; 108 were enrolled from August 2020 to August 2021. There were 2,479 visits to the study webpage, 194 screening entries, and 149 inquiries about the study. Their mean age was 34.3 years, and the mean length of U.S. stay was 9.2 years. Despite community outreach, participants weremainly recruited fromsocialmedia (e.g., WeChat). The majority were recruited via near-peer recruitment and snowball sampling. The retention rate was 96.3%; about 99% had valid actigraphy data, and 81.7% wore the device for 7 days. The majority of devices were successfully returned, and the majority completed the online survey on time. Discussion: We demonstrated the feasibility of recruiting and retaining a geographically diverse sample of Chinese American immigrants with prior gestational diabetes during the COVID-19 pandemic. Recruiting Chinese immigrants via social media (e.g., WeChat) is a viable approach. Nonetheless, more inclusive recruitment strategies are needed to ensure broad representation from diverse socioeconomic groups of immigrants. [ABSTRACT FROM AUTHOR]

Using administrative universal business registration data as well as primary offline and online surveys of small businesses (including unregistered self-employments) in China, we examine (i) whether digitization helps small and medium enterprises (SMEs) better cope with the COVID-19 pandemic and (ii) whether the pandemic has spurred digital technology adoption. We document significant economic benefits of digitization in increasing SMEs' resilience against such a large shock, as seen through mitigated demand decline, sustainable cash flow, ability to quickly reopen, and positive outlook for growth. After the January 2020 lockdown, firm entries exhibited a V-shaped pattern, with entries of e-commerce firms experiencing a less pronounced immediate drop and a quicker rebound. Moreover, the pandemic has accelerated the digital transformation of existing firms and the industry in multiple dimensions (e.g., altering operation scope to include e-commerce, allowing remote work, and adopting electronic information systems). The effect persists more than one year after reopening, and it is more pronounced for certain sectors, firms in industrial clusters, and areas with more digital inclusion but less financial efficiency, constituting initial evidence for the long-term impact of the pandemic and the supposedly transitory mitigation policies. This paper was accepted by David Simchi-Levi, finance. Funding: This research was funded in part by the China Natural Science Foundation [Grants 71874008, 71441008, 71873121, and 72192844], Peking University, the Kauffman Foundation [Junior Fellowship], and the FinTech Chair at Paris–Dauphine University–Université Paris Sciences et Lettres. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.02424. [ABSTRACT FROM AUTHOR]

EdTech, which includes computer-assisted learning (CAL), online education, and remote instruction, was expanding rapidly even before the COVID-19 pandemic. Studies of CAL interventions often find positive effects; however, these "CAL programs" often include non-technology-based inputs such as more time spent on learning and additional instructional support by facilitators. In this paper, we discuss the possible channels by which CAL programs affect academic outcomes among schoolchildren. We isolate the technology-based effects of CAL from the total program effects by designing and performing a novel multitreatment field experiment in rural China. For the full sample, we find null effects for both the total CAL program and the technology-based effects of CAL on math test scores. For boys, however, we find a positive and statistically significant effect of the CAL program but do not find evidence of a positive effect for the technology-based effect of CAL. When focusing on grades, we find evidence of positive CAL program effects but find null effects when we isolate the technology-based effects of CAL. Our empirical results suggest that the "Tech" in EdTech may have relatively small additional effects on academic outcomes, yet tech programs can substitute at least to a certain extent for traditional learning. [ABSTRACT FROM AUTHOR]

Crises constitute ideal opportunities for authoritarian leaders to promote certain narratives, shaping reality in their favor and crafting their own preferred storylines about current events. In other words: they serve authoritarian leaders on a silver platter the opportunity to instrumentalize these unforeseen circumstances to gain domestic political legitimacy by promoting strategic narratives. The COVID-19 pandemic was no exception in this regard. Ever since its onset in early 2020, the Chinese Communist Party (CCP) was among the most active actors worldwide seeking to capitalize on the global crisis for legitimation purposes. Whether applying narratives of governance supremacy, portraying the People's Republic of China as a "global savior," or promoting emotionally appealing nationalistic narratives, the regime used the pandemic as a window of opportunity to rebrand its international role and enhance its domestic legitimacy. When observing the CCP's communication style over the course of 24 pandemic months (2020–2022), however, major shifts become apparent regarding the main narratives crafted in communication with national audiences. Based on this, the paper focuses on the role of such narratives for legitimation claims. Using exemplary media articles collected between the outbreak of the pandemic in China in late 2019 until the harsh Shanghai lockdown in spring 2022, it thus traces the narratives employed by Chinese state elites and explores how they are intertwined with nationalism and broader power claims. [ABSTRACT FROM AUTHOR]

The spread of the COVID-19 pandemic in 2020 had a huge impact on the life course of all of us. This rapid spread has also caused an increase in the research production in topics related to different aspects of COVID-19. Italy has been one of the first countries to be massively involved in the outbreak of the disease. In this paper, we present an extensive scientometric analysis of the research production both at global (entire literature produced in the first 2 years after the beginning of the pandemic) and local level (COVID-19 literature produced by authors with an Italian affiliation). Our results showed that US and China are the most active countries in terms of number of publications and that the number of collaborations between institutions varies depending on geographical distance. Moreover, we identified the medical-biological as the field with the greatest growth in terms of literature production. As regards the analysis focused on Italy, we have shown that most of the collaborations follow a geographical pattern, both externally (with a preference for European countries) and internally (two clusters of institutions, north versus center-south). Furthermore, we explored the relationship between the number of citations and variables obtained from the data set (e.g. number of authors). Using multiple correspondence analysis and quantile regression we shed light on the role of journal topics and impact factor, the type of article, the field of study and how these elements affect citations. [ABSTRACT FROM AUTHOR]

The People's Republic of China's (PRC) approach to data governance, centred on data sovereignty, is much debated in academic literature. However, it remains unclear how the PRC's different state actors justify this approach. Based on an analysis of the discourse and behaviour of the PRC's state actors through strategic framing theory, their role as a privacy guardian can arguably be described as strategically constructed. The Chinese government and legislative bodies have tailored their communications to present themselves as champions of individual privacy, aiming to secure support for state policies. This strategic framing encompasses four mechanisms: the reframing of privacy threats through political narratives; legal ambiguities; selective framing; and the implementation of censorship to influence public discourse. An examination of how the Chinese government responded differently to data breaches in the cases of Didi and the Shanghai National Police Database leak highlights the Chinese government's efforts in maintaining framing consistency to construct itself as a guardian, rather than a violator, of individual privacy. [ABSTRACT FROM AUTHOR]

Aim: To analyze the level of knowledge, attitudes, practices, and risk perception regarding COVID-19 among Chinese residents 1.5 years after the pandemic. Subject and methods: A cross-sectional study was carried out with both online and paper questionnaires. We included a variety of covariates that were characteristic-related factors such as age, gender, education level, and retirement status, as well as those closely associated with risk perception regarding COVID-19. Results: Participants (n = 3588), 53.49 ± 18.88 years old, from two provinces of China, of which 44.7% were male and 52.03% had a high school or greater level of education, answered the questions. More than 90% of participants had adequate background knowledge about COVID-19 and agreed or even strongly agreed with many attitude items related to the government's role in diagnosis, treatment, and dealing with COVID-19 infections. About three fifths of the participants reported fear of contracting COVID-19, but only a minority (18.63%) felt they were more susceptible than others. Respondents aged 45 years or younger were more likely to fear contracting the virus than those older than 45 years (adjusted OR = 1.464, 95% CI 1.196 to 1.794, P = 0.0002). High education level (adjusted OR = 1.503, 95% CI 1.187 to 1.904, P = 0.0007) and non-retired status (adjusted OR = 1.679, 95% CI 1.354 to 2.083, P < 0.0001) were associated with a higher perception of susceptibility to infection than others. Moreover, respondents who were not retired had a significantly reduced practice score (adjusted OR = 1.554, 95% CI 1.261 to 1.916, P < 0.0001). Age, retirement status, and education level were also associated with knowledge, attitude, and practice level. Conclusion: Our findings suggest that the public generally has trust in the COVID-19 vaccine and the government with regard to COVID-19 in China. We recommend that high-risk groups of communities, such as elders and patients with chronic diseases, be given greater consideration in the outbreaks. Health education campaigns combined with workplace preventive intervention should be aimed at improving COVID-19 knowledge and beliefs in order to encourage more optimistic attitudes and to maintain safe practices. [ABSTRACT FROM AUTHOR]

It is common to observe the epidemic risk perception (ERP) and a decline in subjective well-being (SWB) in the context of public health events, such as Corona Virus Disease 2019 (COVID-19). However, there have been few studies exploring the impact of individuals' ERP within living space on their SWB, especially from a geographical and daily activity perspective after the resumption of work and other activities following a wave of the pandemic. In this paper, we conducted a study with 789 participants in urban China, measuring their ERP within living space and examining its influence on their SWB using path analysis. The results indicated that individuals' ERP within their living space had a significant negative effect on their SWB. The density of certain types of facilities within their living space, such as bus stops, subway stations, restaurants, fast food shops, convenience shops, hospitals, and public toilets, had a significantly negative impact on their SWB, mediated by their ERP within living space. Additionally, participation in out-of-home work and other activities not only increased individuals' ERP within living space, but also strengthened its negative effect on their SWB. [ABSTRACT FROM AUTHOR]

Background Study: As flipped learning is a flexible pedagogical methodology to tailor students' needs and maximize the learning effects, this study integrated peer learning with MosoTeach‐supported flipped mode in an undergraduate blended EFL course. MosoTeach is a popular online learning platform in China with a variety of learning resources. Objectives: The study aimed to test the impact of MosoTeach flipped learning (MTFL) mode on undergraduate EFL students' perceived motivation, participation, feedback, and test performance. Methods: A quasi‐experimental design was carried out in Z university during the spring semester of 2020, with the experimental group (n = 34) adopting the MTFL model and a control group (n = 33) the non‐flipped mode. Results and Conclusions: The independent t‐test results showed that the experimental MTFL group outperformed the control group in post‐test scores, and a positive correlation was found in the relationship between the experimental MTFL group's post‐test scores and MosoTeach learning experience points (LEPs). Moreover, the course perception questionnaire survey indicated a higher level of students' perceived motivation, participation, and feedback in the experimental MTFL group, which corresponded to the results of the content analysis of students' responses to open‐ended questions and reflective reports. But students in both groups experienced challenges such as isolation, procrastination and technological anxiety. Lay Description: What is currently known about this topicFlipped language learning is mostly reported to be effective in improving EFL learning.Peer learning is mostly reported to be effective in improving EFL learning.MosoTeach was investigated in English learning contexts before, but without experimental design. What this paper addsMosoTeach proved as a valid online learning platform in flipped language learning, and the learning experience points (LEPs) on MosoTeach could predict students' exam performance.Students in the experimental group (MosoTeach‐supported flipped) had better exam performance and a higher level of motivation, participation and feedback.Students in both groups experienced isolation, procrastination and technological anxiety. Implications for practice:Peer discussion boards in MosoTeach provide learning support effectively for students in pre‐class learning.Group projects and peer assessment in MosoTeach integrate pre‐class peer discussion into in‐class interaction successfully.MosoTeach provides equal opportunity for every student in the large‐size Chinese English classes, thus contributing to the equity of in‐class peer interactions. [ABSTRACT FROM AUTHOR]

Background: In a context where synchronous online teaching has become a new trend of instruction for online education due to the COVID‐19 pandemic, it is valuable and insightful to examine what factors contribute to teachers' satisfaction with synchronous online teaching. Objective: Informed by the technology acceptance model (TAM), this study investigated English‐as‐a‐foreign‐language (EFL) university teachers' synchronous online teaching satisfaction in China from social (i.e., subjective norms), institutional (i.e., facilitating conditions), and individual (i.e., self‐efficacy, attitudes toward use, perceived usefulness, and perceived ease of use) levels during the COVID‐19 pandemic. Methods: A total of 250 in‐service EFL university teachers participated in this study. An online questionnaire was adaptively developed to measure teachers' perceptions of and satisfaction with synchronous online teaching. The structural equation modelling (i.e., path analyses) was performed to find out a model that can best represent EFL university teachers' synchronous online teaching satisfaction. Results and Conclusion: The results showed that facilitating conditions, self‐efficacy, attitudes toward use, and perceived usefulness are direct contributors to EFL university teachers' satisfaction with synchronous online teaching. Whereas, perceived ease of use, self‐efficacy, and subjective norms are indirect contributors through the mediation of attitudes toward use. Moreover, different from previous TAM research, facilitating conditions have been found to be the most significant direct factor positively contributing to satisfaction. The findings of this study are expected to shed light on how to enhance teachers' synchronous online teaching satisfaction. Lay Description: What is already known about this topic: The technology acceptance model (TAM) has been frequently adopted to examine teachers' acceptance of technology in various contexts over the last two decades.The TAM model identifies three key factors that contribute to people's intention of technology use: perceived usefulness, perceived ease of, and attitudes toward technology use.Although the TAM model has been extensively examined in various technology‐supported teaching contexts, there has been a lack of focus on livestream technology‐supported synchronous online teaching. What the paper adds: EFL university teachers' synchronous online teaching satisfaction during the COVID‐19 in China.Teachers' satisfaction with synchronous online teaching is a joint interplay of individual (i.e., self‐efficacy, attitudes toward use, perceived usefulness, and perceived ease of use), institutional (i.e., facilitating conditions), and social (i.e., subjective norms) factors.Facilitating conditions, self‐efficacy, attitudes toward use, and perceived usefulness are direct contributors, while perceived ease of use, self‐efficacy, and subjective norms are indirect contributors to teachers' synchronous online teaching satisfaction through the mediation of attitudes toward use.Different from previous TAM research, facilitating conditions have been found to be the most significant direct factor positively contributing to satisfaction. Implications for practice and/or policy: This study offers a diagnostic measure for schools and universities to understand the status quo of their teachers' perceptions of and satisfaction with synchronous online teaching.Universities are advised to provide teachers with readily accessible support and training to enhance their self‐efficacy for synchronous online teaching so that their satisfaction with synchronous online teaching can be strengthened. [ABSTRACT FROM AUTHOR]

BACKGROUND: During an outbreak such as COVID-19, hospital staff needs to be in close contact with all types of patients visiting the hospital and the risk of cross-infection is extremely high. Payment and medication pickup is a mandatory part of a patient's hospital visit, with direct contact between healthcare workers and patients, and long waiting times in the hospital area, which can easily lead to the spread of disease infection. OBJECTIVE: This paper designed the prototype of a contactless smart medicine cabinet based on RFID technology and optimized the patient consultation and medication pickup process to address these problems. METHODS: We conducted a 50-day field observation of patients for consultation and medication pickup at the First Hospital in H city, Jiangsu Province, China, and randomly timed 1600 sets of data from Surgery (ophthalmology) and Internal patients, then we designed the prototype of a contactless smart medicine cabinet based on RFID technology, optimized the patient consultation and medication pickup process, comparing the traditional and intelligent models using AnyLogic. RESULTS: The results show that this contactless medicine cabinet was able to reduce the time taken by patients in consultation and medicine pickup by 18.74 minutes, increasing the overall efficiency of the consultation by 32.20%. The simulation revealed that this contactless intelligent medication pickup model was able to reduce the time taken by patients in consultation and medicine pickup, increasing the overall efficiency of the consultation, effectively reducing the frequency of contact between healthcare workers and patients, and reducing the risk of disease infection. CONCLUSION: The proposed technical model provides a new idea to solve the problems of long queues, low efficiency and high risk of infection for patients to consult and get medicine during epidemics. Especially within hospitals it has important theoretical and practical implications for epidemic prevention and control as well as future hospital management. [ABSTRACT FROM AUTHOR]

In the past decade, the Chinese government's financial subsidies for performing arts troupes accounted for an average of 50.57% of their total income. By the end of 2021, China has 18,370 performing arts troupes and 3,093 performing arts venues. The research conclusions of this paper include the following four points: (1) Digital live-streaming theater(DLT) is an "innovation" for traditional Stage Theater(ST) performance, and its changes in creation mechanism, audience-actors relationship, technical esthetics and business model are worthy of further study. (2) Data from 2011 to 2021 show that Baumol's cost disease also exists in Chinese performing arts. (3) The Chinese government has been reducing its direct management and control of arts troupes, trying to move toward "arm's length" governance. (4) During the COVID-19 epidemic, performance case data from China show that DLT can indeed reduce the marginal cost, attract more young audiences, and increase performance revenue. However, considering the high technical cost input, whether digital technology can alleviate the cost disease of performing arts still needs more annual industry data analysis. [ABSTRACT FROM AUTHOR]

Chinese imports replace locally manufactured products in developing countries. The import of consumer goods from China to West Africa is closely linked to commercial travel, and China's border restrictions during the Covid outbreak put a near-halt to such travelling. Furthermore, the pandemic caused a global logistics crisis that disrupted supply chains with production in China. This paper asks whether Ghanaian manufacturers and artisanal producers could take advantage of these disruptions to enhance their competitive position. Did China's border closure provide space for local Ghanaian producers to thrive? We address this question by drawing on data collected among Ghanaian plastic manufacturers and furniture makers, who have faced tough competition from Chinese imports. Our analysis shows that supply chain disruptions from China led to the substitution of certain products previously imported from China, and these effects were partially sustained after the Covid-induced barriers to imports from China were removed. However, the disruptions were also costly for many Ghanaian producers, as they depended on Chinese intermediary products, tools, and other inputs. This illustrates how economic lives in Ghana and China have become so profoundly intertwined that indiscriminate decoupling is neither possible nor desirable. [ABSTRACT FROM AUTHOR]

The current study aimed to explore the protective factors and underlying mechanisms associated with loneliness and psychological distress among older Chinese adults within the framework of a longitudinal design. This investigation specifically focused on the mediating role of attitudes toward own aging (ATOA) in the relationship between social support and the experience of loneliness and psychological distress (comprising depression, anxiety, and stress) amidst the backdrop of the COVID-19 pandemic. A cohort of 345 elderly individuals (mean age = 83.84 years, standard deviation = 8.49 years; 55.1% females) participated in this research endeavor. The participants were required to complete self-report instruments measuring their perceived levels of social support at Time 1 (T1), attitudes towards own aging, ATOA at Time 2 (T2), and their experiences of loneliness, and psychological distress (including depression, anxiety, and stress) at T1 and Time 3 (T3). The data collection timeline encompassed baseline data collection at T1 in September 2020, a subsequent six-month follow-up at T2 in March 2021, and a one-year follow up at T3 in September 2021. The findings of this investigation unveiled a negative predictive relationship between social support at T1 and psychological distress (encompassing depression, anxiety, and stress) at T3. Furthermore, it was discerned that ATOA at T2 acted as a mediating mechanism, elucidating the longitudinal association between social support at T1 and the manifestation of loneliness and psychological distress (including depression, anxiety, and stress) at T3. The discussion section of this paper delves into an exploration of the limitations and implications inherent in these conclusions, particularly concerning their relevance to potential intervention strategies. [ABSTRACT FROM AUTHOR]

Correctly identifying causal relations among the industries provide accurate orientation to the dynamical industry connection, which is crucial to drive the industrial structure modification and optimization for a country. Since the non-separability, causality in industrial system has different formalization, in this paper, we exploit both dynamical and statistical measures driven by industry indexes to identify direct causation from indirect ones, which the variables are non-separable, weakly or moderately interacting. Partial cross mapping is employed to eliminate indirect causal influence among the 28 industries in China, further to explore real causal links for nonlinear industrial network system. The individual, local and overall linkage effects are measured out. Data experience shows that service-oriented industries are more active than before the epidemic of COVID-19, which brings benefits to the industries of communication, bank, textile and garment. Manufacturing industry is the central node of industrial chain network, which exhibits higher and stronger motivation under the background of COVID-19, and banking sector shows a persistent and strong influence on other industries at the post-epidemic era. The hot-industrial fields were figured out, and we would expect to provide quantitative references for the flow direction of industries and decision makings. [ABSTRACT FROM AUTHOR]