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The purpose of this paper is to examine the effect of hotel safety leadership on employee safety behavior during the COVID-19 pandemic, and the mediation role of belief restoration and the moderation role of perceived risk between safety leadership and behavior were also investigated.

The COVID-19 outbreak served as the background for a questionnaire survey of 23 hotels in China with 1,594 valid responses being received. The statistical analysis techniques used were exploratory and confirmatory factor analysis, correlation analysis, structural equation modeling and hierarchical regression.

The results showed that: hotel safety leadership positively affected employee safety behavior (compliance, participation and adaptation); belief restoration partially mediated the influence of safety leadership on safety behavior; and perceived risk negatively moderated the direct effect and the mediation effect of “safety leadership – belief restoration – safety behavior.”

The main limitation was that the questionnaires were collected with the same measurement system within a certain period of time (cross-sectional design). Then, future research should test and expand this conceptual model in different crises, business fields, theoretical orientation and cultural backgrounds.

Hotels should develop management strategies based on safety leadership and motivate and promote employee safety behavior from the four aspects of safety coaching, care, motivation and control.

This investigation expanded the research on the effectiveness of safety leadership and especially with respect to safety in the hospitality industry during a major global crisis. Also, the research conceptual model and variables contained therein are original contributions to the hospitality research literature.

This study aims to investigate whether and how earnings guidance affects corporate innovation.

Exploiting the setting of China, where the Shenzhen Stock Exchange has required all public firms listed on its ChiNext board to issue earnings guidance since 2012, this study uses a difference-in-differences (DID) methodology to examine the effect of earnings guidance on corporate innovation and further conducts cross-sectional analyzes from the information risk and monitoring demand perspectives. Moreover, the authors conduct path analysis to verify the possible channels through which corporate innovation is impeded by market pressure or improved through increased corporate transparency.

This study documents a positive relationship between earnings guidance and corporate innovation, as measured by the number of invention patents, indicating that the “corporate governance” hypothesis dominates in China. Cross-sectional analyzes show that this positive effect is more pronounced for firms subject to greater information risk and monitoring demand. Finally, the path analysis further confirms that earnings guidance improves innovation by increasing corporate transparency.

First, this study captures the bright side of mandatory earnings guidance and suggests that increasing the disclosure frequency can yield benefits for firms. Second, the findings imply that regulations, regardless of what they refer to, should be based on a country’s specific context.

First, this study provides evidence supporting the “corporate governance” argument based on the context of China and, thus contributes to the debate on earnings guidance. Second, this study enriches the literature on the economic consequences of earnings guidance. Third, the study extends research on the determinants of corporate innovation.

This study examines the relationship between internal control and corporate environmental responsibility.

Unlike US studies that concentrate solely on internal control over financial reporting, this study uses a comprehensive index that encompasses internal control over financial reporting, operations, and compliance. Corporate environmental responsibility is measured by environmental investments. Our research sample comprises Chinese listed firms from 2010 to 2018.

The results demonstrate a positive correlation between internal control and corporate environmental investments. Furthermore, we find that firms with high-quality internal control can improve their financial and environmental performance through environmental investments. After decomposing internal control into its five components, we show that the control environment, control activities, and information and communication components exhibit stronger effects on environmental investments than the risk assessment and monitoring components. Finally, the cross-sectional analyses reveal that the positive effect of internal control is more pronounced in private firms and in firms that are subject to weaker environmental regulation.

By focusing on the effect of a comprehensive internal mechanism on corporate environmental responsibility in China, this study contributes to the literature in developed-country settings that overwhelmingly focuses on the impact of external stakeholders and regulations.

The purpose of this paper is to clarify agricultural services into five categories, including agricultural materials supply service, financial service, technical service, machinery service and processing and sales service, and to examine the effect of agricultural services on cost saving of rice production in China.

Based on a three-year panel data set covering 3,421 rice farmers in 12 Chinese provinces collected from the state rice industry experiment stations’ fixed watch points of China Agriculture Research System, a stochastic frontier model which takes the price vectors of input variables into cost function is developed by stochastic frontier analysis method in the study.

There is a deviation between the actual cost and the minimum cost on rice production in China due to the loss of cost efficiency, whose score is 0.7983 at the mean. Agricultural services can help improve cost efficiency, thus contributing to cost saving. Specifically, the effect of technical service on cost saving is the highest, followed by processing and sales service, machinery service, financial service and agricultural materials supply service.

The results of this paper are of great significance to the effectiveness and efficiency of the targeted agricultural services and indicate implications for policy improvement under the context of clear upward trend of agricultural production costs.

The paper aims to examine the corporate social responsibility (CSR) activity of audit firms.

Using hand-collected data on all Chinese audit firms’ CSR activities from 2007 to 2020, this study constructs two measures to proxy for audit firms’ CSR engagement: a dummy variable to indicate whether an auditor engages in CSR activities in year t and the frequency with which auditors conduct CSR activities in year t. The authors use ordinary least squares regression as a baseline methodology, along with the entropy balancing method and instrumental variable approach to alleviate potential endogeneity concerns.

The baseline results show that socially responsible audit firms provide higher quality audit services than their counterparts. In particular, the authors find that clients audited by socially responsible audit firms are less likely to receive an aggressively clean opinion. Moreover, the findings suggest that CSR activities related to community and employees are more relevant in improving audit quality compared with those related to other dimensions of CSR. Further analyses show that capital markets and audit clients react positively to audit-firm CSR activity. Audit firms engaging in CSR increase their audit inputs in response to risky clients, as compared with their counterparts. Finally, cross-sectional analyses show that the positive relationship is more pronounced for non-Big 4 and non-industry experts and is attenuated by within-firm geographic dispersion. In terms of client characteristics, the positive effect of audit-firm CSR is stronger when their clients face the higher financial risk or have lower CSR awareness than others. Taken together, these findings are consistent with the ethical view of audit-firm CSR engagement.

The study advances investors’ understanding of audit-firm CSR engagement and helps them evaluate the credibility of audited financial reports. Besides, the findings may also help guide the audit firms to conduct more CSR activities and help guide the audit clients to choose CSR audit firms.

To the best of the authors’ knowledge, this study provides the first large-sample evidence by empirically examining the association between audit-firm CSR activity and audit service performance. Besides, this paper also explores audit-firm CSR activity from two competing perspectives, thereby providing a comprehensive understanding of this issue. Finally, this work responds to the call for more CSR research in emerging markets.

This paper aims to investigate the fast attitude coordinated control problem for rigid satellite swarms with communication delays.

Based on behavior‐based control approach, the attitude control system is designed to guarantee that the attitude of the satellite swarm converge to a dynamic reference state in finite time. A fast sliding mode is developed to improve the convergence rate and robustness of the control system. All the effects of communication delays, parameter uncertainties and external disturbances are taken into account simultaneously, and the communication topology of the satellite swarm can be arbitrary types. Numerical simulations are provided to demonstrate the analytic results.

Despite the existence of communication delays, parameter uncertainties and external disturbances, the stability of the closed‐loop system can be successfully guaranteed and the proposed control strategies are effective to overcome these unexpected phenomena subject to arbitrary communication topology.

This paper introduces a fast terminal sliding mode control method which can guarantee the fast convergence of the attitude state of the satellite swarm in the presence of communication delays, switched communication topology, parameter uncertainties and external disturbances.

The farm size-productivity relationship has long been the subject of debate among development economists. Few studies address this issue for China, and those that do only with outdated data sets poorly representing the current situation after the past decade of rapid change, which includes the rapid development of land rental markets, village labor out-migration and use of farm machines. Meanwhile, many studies have researched this relationship for Indian, which is undergoing similar changes except for the development of active land rental markets. The purpose of this paper is to measure the farm size-productivity relationship under the situations of rapid transformation in China and India.

Based on the data of 325 Jiangxi and 400 Allahabad rice farmers in 2011, the survey covered multiple plots of each household in one/multiple growing season(s). The authors use the production function approach and the yield approach, and control for farmland quality, imperfect factor markets, and farm size measurement error, to identify the farm size-productivity relationship.

The regressions show that land yields increase with plot size both by season and over the year in China. This may be one of the reasons that farm sizes are growing in some areas. In India, however, the inverse farm size-productivity relationship is observed by the study, despite recent changes. Moreover, land yields increase with farm machine use in both China and India. This result contributes to the debate over whether mechanization improves yields or just expands the land frontier.

The paper empirically estimates the farm size-productivity relationship under rapid agrarian transformation in both China and India based on a unique data set collected by the authors in a detailed primary survey. The paper considers measurement error in the analysis, which adds values to this type of analysis.

Ready-to-drink (RTD) tea beverages are widely consumed worldwide and play a prominent role in people’s daily lives, yet few studies have investigated the motivation of RTD tea beverage consumers as well as their underlying attitudes and desires. The purpose of this paper is to explore why these attributes are motivational factors by focussing on the attributes of RTD tea beverage products that motivate consumers to purchase RTD tea.

The attribute-consequence-value model of the means-end chain approach was employed to investigate consumer motivations for purchasing RTD tea beverages. Data were collected through a qualitative face-to-face survey of 153 RTD tea beverage consumers in Taiwan.

The results indicate that consumers purchase RTD tea beverages because the taste, flavor, packaging, and ingredients (attributes) satisfy their desire to drink RTD tea and fulfill the benefits of being delicious to drink, possessing thirst-quenching properties, and possessing health-promoting properties (perceived consequences), thereby fulfilling their ideal goal of experiencing enjoyment (perceived product value).

The findings may serve as a reference for producers of RTD tea beverages regarding product development and marketing.

This study adopts the perspective of dynamic capabilities to investigate influencing factors and proposes improvement strategies of supply chain resilience of prefabricated construction.

The structural equation model (SEM) is used to identify and verify the relationship between factors influencing supply chain resilience of prefabricated construction from the perspective of dynamic capabilities. The system dynamics (SD) model is constructed to dynamically simulate the specific effects of different influencing factors.

Results indicate that: (1) An evaluation index system for supply chain resilience of prefabricated construction containing five first-level indicators and 36 second-level indicators is constructed; (2) Ability to anticipate, ability to respond, ability to adapt, ability to recover and ability to learn are positively correlated with the supply chain resilience of prefabricated construction and (3) ANT3 (information system), RES1 (quick response), ADA3 (buffer stock) and LEA4 (trust) are the most leading factors influencing supply chain resilience of prefabricated construction over time.

This study fulfills the need for an in-depth exploration of the various influencing factors on supply chain resilience of prefabricated construction from the perspective of dynamic capabilities. Furthermore, this study provides improvement strategies to enhance supply chain resilience of prefabricated construction in China.

The purpose of this paper is to provide reference for researchers by reviewing the research advances and trend of agricultural product price forecasting methods in recent years.

This paper reviews the main research methods and their application of forecasting of agricultural product prices, summarizes the application examples of common forecasting methods, and prospects the future research directions.

1) It is the trend to use hybrid models to predict agricultural products prices in the future research; 2) the application of the prediction model based on price influencing factors should be further expanded in the future research; 3) the performance of the model should be evaluated based on DS rather than just error-based metrics in the future research; 4) seasonal adjustment models can be applied to the difficult seasonal forecasting tasks in the agriculture product prices in the future research; 5) hybrid optimization algorithm can be used to improve the prediction performance of the model in the future research.

The methods from this paper can provide reference for researchers, and the research trends proposed at the end of this paper can provide solutions or new research directions for relevant researchers.