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Over the last decade, investments in green energy companies have witnessed noticeable growth rates. However, the glacial pace of the world economic restoration due to COVID-19 pandemic placed a high degree of uncertainty over this market. Therefore, this study investigates the short- and long-term relationships between COVID-19 new cases and WilderHill New Energy Global Innovation Index (NEX) using daily data over the period from January 23, 2020 to February 1, 2023.

The authors utilize an autoregressive distributed lag bounds testing estimation technique.

The results show a significant positive impact of COVID-19 new cases on the returns of NEX index in the short run, whereas it has a significant negative impact in the long run. It is also found that the S&P Global Clean Energy Index has a significant positive impact on the returns of NEX index. Although oil has an influential effect on stock returns, the results show insignificant impact.

Governments have the chance to flip this trend by including investment in green energy in their economic growth stimulation policies. Governments should highlight the fundamental advantages of investing in this type of energy such as creating job vacancies while reducing emissions and promoting innovation.

First, as far as the authors are aware, the authors are the first to examine the effect of oil prices on clean energy stocks during COVID-19. Second, the authors contribute to studies on the relationship between oil prices and renewable energy. Third, the authors add to the emerging strand of literature on the impact of COVID-19 on various sectors of the economy. Fourth, the findings of the paper can add to the growing literature on sustainable development goals, in specific the papers related to energy sustainability.

This paper aims to explore whether drivers would adapt their behavior when they drive among automated vehicles (AVs) compared to driving among manually driven vehicles (MVs).Understanding behavioral adaptation of drivers when they encounter AVs is crucial for assessing impacts of AVs in mixed-traffic situations. Here, mixed-traffic situations refer to situations where AVs share the roads with existing nonautomated vehicles such as conventional MVs.

A driving simulator study is designed to explore whether such behavioral adaptations exist. Two different driving scenarios were explored on a three-lane highway: driving on the main highway and merging from an on-ramp. For this study, 18 research participants were recruited.

Behavioral adaptation can be observed in terms of car-following speed, car-following time gap, number of lane change and overall driving speed. The adaptations are dependent on the driving scenario and whether the surrounding traffic was AVs or MVs. Although significant differences in behavior were found in more than 90% of the research participants, they adapted their behavior differently, and thus, magnitude of the behavioral adaptation remains unclear.

The observed behavioral adaptations in this paper were dependent on the driving scenario rather than the time gap between surrounding vehicles. This finding differs from previous studies, which have shown that drivers tend to adapt their behaviors with respect to the surrounding vehicles. Furthermore, the surrounding vehicles in this study are more “free flow'” compared to previous studies with a fixed formation such as platoons. Nevertheless, long-term observations are required to further support this claim.

This study aims to analyze the impact of event experience on event satisfaction and intentions to return and recommend the destination.

Relationships among constructs were tested on data gathered from 542 tourists during the America's Cup World Series held in South Italy in April 2013 by using a structural equation modeling approach. Moreover, a multigroup analysis was developed to test the possible moderator factors.

The results revealed that event experience and event satisfaction had positive impacts on the intentions to recommend and return to the host destination. Moreover, nationality, gender and trip motivation emerged as important moderating factors in the relationships among the latent constructs.

The findings of this paper enrich the existing literature and help tourism destination marketers and managers consider the triggering factors of a satisfying mega-sports event for the host destination and the marketing power of the on-site experience.

Practitioners should draw on the insights provided by this study to design destination strategies, particularly by paying attention to how an event experience causes an attendee to return to and recommend the host destination.

This study enriches the existing event literature in several ways. First, it emphasizes the importance of the event experience to the satisfaction level and willingness to return and recommend the host destination for a vacation, supporting the link between an event and its destination. Second, it provides a moderating analysis that offers new insights for marketing the event experience. It offers a multilevel model of mega-event tourism legacy, which opens up new avenues of research. Third, complementing the consumer-based analysis, this research includes the trend of visits (after 2013 to the present) to examine how a mega-sport event has brought about more postevent visits.

Efficient traffic incident management is needed to alleviate the negative impact of traffic incidents. Accurate and reliable estimation of traffic incident duration is of great importance for traffic incident management. Previous studies have proposed models for traffic incident duration prediction; however, most of these studies focus on the total duration and could not update prediction results in real-time. From a traveler’s perspective, the relevant factor is the residual duration of the impact of the traffic incident. Besides, few (if any) studies have used dynamic traffic flow parameters in the prediction models. This paper aims to propose a framework to fill these gaps.

This paper proposes a framework based on the multi-layer perception (MLP) and long short-term memory (LSTM) model. The proposed methodology integrates traffic incident-related factors and real-time traffic flow parameters to predict the residual traffic incident duration. To validate the effectiveness of the framework, traffic incident data and traffic flow data from Shanghai Zhonghuan Expressway are used for modeling training and testing.

Results show that the model with 30-min time window and taking both traffic volume and speed as inputs performed best. The area under the curve values exceed 0.85 and the prediction accuracies exceed 0.75. These indicators demonstrated that the model is appropriate for this study context. The model provides new insights into traffic incident duration prediction.

The incident samples applied by this study might not be enough and the variables are not abundant. The number of injuries and casualties, more detailed description of the incident location and other variables are expected to be used to characterize the traffic incident comprehensively. The framework needs to be further validated through a sufficiently large number of variables and locations.

The framework can help reduce the impacts of incidents on the safety of efficiency of road traffic once implemented in intelligent transport system and traffic management systems in future practical applications.

This study uses two artificial neural network methods, MLP and LSTM, to establish a framework aiming at providing accurate and time-efficient information on traffic incident duration in the future for transportation operators and travelers. This study will contribute to the deployment of emergency management and urban traffic navigation planning.

The paper aims to investigate the prevailing institutional logics that underpin the organisational behaviours of Chinese contractors and the institutional complexity they face across several strategic areas when they undertake projects abroad.

The paper draws mainly on industry literature, reports and government websites to develop a typology of two ideal types of institutional logics that prevail among Chinese international contractors. The configurations of institutional complexity in different strategic areas are analysed through pattern-matching.

Two main logics are identified, namely, construction and investment logics. These logics in turn lead to patterns of volatile complexity in the strategic areas of business, technology, human resources and marketing; patterns of aligned complexity in operational and information technology strategic areas; and patterns of segregated complexity in financial strategic area.

The paper presents an ongoing doctoral research. It provides a preliminary understanding of the institutional logics affecting Chinese international contractors and sets out the first step to understand the relationship between complex institutional environments and organisational responses.

Chinese international contractors commonly face resistance, and at times resentment, from the local industries in the countries they operate. The findings of this paper are a first step towards a better understanding of why this is the case and what can be done to rectify the situation and improve long and short-term project performance.

This paper provides practical implications for Chinese contractors to understand their internal context of institutional complexity and provides the basis for further understanding of Chinese contractors’ strategic responses.

This study aims to investigate the service performances of a new full-section asphalt concrete waterproof sealing structure (FSACWSS) for the high-speed railway subgrade through on-site tracking, monitoring and post-construction investigation.

Based on the working state of the waterproof sealing structure, the main functional characteristics were analyzed, and a kind of roller-compacted high elastic modulus asphalt concrete (HEMAC) was designed and evaluated by several groups of laboratory tests. It is applied to an engineering test section, and the long-term performance monitoring and subgrade dynamic performance testing system were installed to track and monitor working performances of the test section and the adjacent contrast section with fiber-reinforced concrete.

Results show that both the dynamic performance of the track structure and the subgrade in the test section meet the requirements of the specification limits. The water content in the subgrade of the test section is maintained at 8–18%, which is less affected by the weather. However, the water content in the subgrade bed of the contrast section is 10–35%, which fluctuates significantly with the weather. The heat absorption effect of asphalt concrete in the test section makes the temperature of the subgrade at the shoulder larger than that in the contrastive section. The monitoring value of the subgrade vertical deformation in the test section is slightly larger than that in the contrastive section, but all of them meet the limit requirements. The asphalt concrete in the test section is in good contact with the base, and there are no diseases such as looseness or spalling. Only a number of cracks are found at the joints of the base plates. However, there are more longitudinal and lateral cracks in the contrastive section, which seriously affects the waterproof and sealing effects. Besides, the asphalt concrete is easier to repair, featuring good maintainability.

This research can provide a basis for popularization and application of the asphalt concrete waterproof sealing structure in high-speed railways.

Independent directors are important corporate decision participants and makers. Based on the Chinese cultural background, this paper interprets the listing order of independent directors as independent directors’ status, exploring their influence on the corporate research and development (R&D) behavior.

This paper studies A-share listed firms in China from 2008 to 2018 as the sample. The main method is ordinary least square (OLS) regression. We also use other methods to deal with endogenous problems, such as the firm fixed effect method, change model method, two-stage instrumental variable method, and Heckman two-stage method.

(1) Higher independent directors’ status attribute to more effective exertion of supervision and consultation function, and positively enhance the corporate R&D investment. The increase of the independent director’ status by one standard deviation will increase the R&D investment by 4.6%. (2) The above effect is more influential in firms with stronger traditional culture atmosphere, higher information opacity and higher performance volatility. (3) High-status independent directors promote R&D investment by improving the scientificity of R&D evaluation and reducing information asymmetry. (4) The enhancing effect of independent director’ status on R&D investment is positively associated with the firm’s patent output and market value.

This paper contributes to understanding the relationship between the independent directors’ status and their duty execution from an embedded cultural background perspective. The findings of the study enlighten the improvement of corporate governance efficiency and the healthy development of the capital market.

This study aims to provide a framework for assessing the technical condition of a house to determine its market value, including the identification of other price-setting factors and their statistical significance. Time on market (TOM) in relation to the technical condition of a house is also addressed.

The primary database contains 631 houses, and the initial asking price and selling price are examined. All the houses are located in the Brno–venkov district in the Czech Republic. Regression analysis was used to test the influence of price-setting factors. The standard ordinary least squares estimator and the maximum likelihood estimator were used in the frame of generalized linear models.

Using envelope components of houses separately, such as the façade condition, windows, roof, condition of interior and year of construction, brings better results than using a single factor for the technical condition. TOM was found to be 67 days lower for houses intended for demolition – as compared to new houses – and 18 days lower for houses to refurbishment.

To the best of the authors’ knowledge, this paper is original in the substitution of specific price-setting factors for factors relating to the technical condition of houses as well as in proposing the framework for professionals in the Czech Republic.

Neither visitors of visiting friends and relatives (VFR) travel nor hosts are homogeneous segments (Griffin & Guttenberg, 2020). For this reason, this study aims to address students as hosts of VFR travel and analyzes differences in the visitor and the host segment. As a result, marketing implications for destination marketing organizations that seek to realize the potential of the student VFR segment arise.

This research project adopts a multi-method approach to derive a deeper empirical understanding of visitors’ behaviors and the role of students hosting friends and relatives (SHFR). The quantitative study aims to reveal the relevance and differences between visits to friends (VF) and visits to relatives (VR), whereas the qualitative study elaborates on the findings of the quantitative study and seeks to understand the role and experiences of students as hosts.

The findings reveal that VR and VF travelers vary in terms of their expenditure. Hosts’ spending depends on visitors’ budgets; in general, both their direct and indirect (when relatives pay) spending increases when they have visitors. Furthermore, the data identify two distinct hosting styles: functional hosting is concerned with providing outstanding hospitality based on a more traditional, guest-oriented understanding of the role, whereas integrative hosting blurs the lines between hospitality and lifestyle based on a more modern, host-oriented understanding of the role.

Regarding limitations, this study did not differentiate between students who were simultaneously locals and students who resided in the city only for study purposes. In a similar vein, the cultural background of the students was not considered in the research. Finally, the differences between VF and VR could further be explored in a quantitative follow-up study and in testing for significant differences in SHFR spending behaviors. Further research could examine whether domestic travelers, travelers with cultural proximity and/or short-distance VFR travelers are more likely to visit after COVID-19 as suggested by Backer and Ritchie (2017) in the case of crises and disaster.

Students as hosts differ from other hosts in VFR travel in their reluctance to embrace conventional tourism products. This study found that place attachment makes hosts of VFR travelers passionate ambassadors and advertisers for the destinations; destination marketing organizations (DMOs) could support this already positive image by providing and supporting students with more detailed information about their cities and the opportunities they offer. Results are of particular relevance because the COVID-19 pandemic is forcing DMOs to develop destination strategies that incorporate social-distancing and avoid crowded places.

When students take their friends out to events and nightclubs, they contribute significantly to experiences that go beyond typical tourism activities such as sightseeing and shopping. By offering special discounts to visitors who come with their hosts, DMOs could help visitors delve more deeply into city life and thereby reduce the likeliness of crowded city centers. Considering the findings relating to the social and emotional qualities of VFR travel, DMO marketing to VFR travelers could benefit from promoting socio-cultural spaces and offerings that value groups’ social ties (e.g. family prices for families with adult children) or alumni status.

According to the authors’ knowledge, this study is the first which analyzes both, visitors and hosts of VFR travel using a two methods approach. Very recently, Griffin and Guttenberg (2020) miss VFR research focusing on the heterogeneity of the segment, and Backer et al. (2020) claim for more VFR research on the role of hosts carried out outside of Australia, New Zealand, Canada, the UK and the USA. To the authors’ best knowledge, this study is the first which delivers empirical insights on SHFR in Central Europe.

The banking sector in West Asia has always experienced positive growth except for Palestine. Apart from some negligible outlying outcomes in some countries that have faced political crises and war, most West Asian countries have gained bank profitability and efficiency. However, the stability in the banking sector has been rarely examined in the literature. Hence, this study sheds light on examining bank stability by considering 12 countries in West Asia.

A fixed effect panel data regression analysis is employed on strongly balanced panel data using data from 2004 to 2018.

Results reveal that the net interest margin has a positive relationship with bank stability. The bank’s stability rises as the net interest margin improves. Furthermore, the non-interest income reveals a positive significant impact on the stability of banks, depicting that the increase in non-interest income increases the stability of banks. Additionally, the non-interest expense also reveals positive significant results with the stability of banks. Nevertheless, leverage ratio and long-term debt portray a negative significant impact on banks’ stability. The finding reveals that higher long-term debt and leverage ratios may decrease the stability of the banks in West Asia.

Overall, the authors’ findings add to the literature on the stability of the banks by providing some new but significant information. Some of the recommendations may be beneficial to the long-term success of 12 Western Asian countries’ banks.

The study examines the stability of banks by incorporating both profitability and operating efficiency along with net-interest income, which extends to the current literature’s insight.