Does Accrual Management Impair the Performance of Earnings‐Based Valuation Models?

This study examines how accrual manipulations affect firm valuation in the years surrounding the passage of the Sarbanes‐Oxley Act (SOX). We compare the absolute percentage pricing errors of RIM and DCF valuation models for a group of US firms suspected to have engaged in accrual manipulations to avoid a small loss or a small earnings decline vs. ‘Normal’ firms matched on industry, year and size. We find that RIM can better estimate intrinsic value than DCF for the matched Normal firms in the pre‐SOX period, but not so for accrual manipulators, and that SOX mitigates the harmful effect of accrual manipulations, completely eliminating the difference in RIM's accuracy advantage over DCF between Normal firms and accrual manipulators. As a further analysis, we redefine Suspect firms as real‐activity manipulators and find a significant across‐group difference in accuracy wedge in both sample periods, implying that SOX has prompted firms to favor real‐activity manipulations over accrual manipulations.     

国内民族旅游研究综述

20世纪80年代以来我国民族旅游研究的发展历程可分为孕育起步、初步发展、拓展提升三个阶段,每阶段的研究对象、研究内容及侧重点、研究特点各有不同。未来的研究可以在以下几方面加强:在研究内容上扩展范围加强深度;在研究方法上加强定量分析;在理论上要构建民族旅游研究体系;在研究平台的利用上要充分发挥其作用。     

Carbon dioxide emissions generated by energy consumption of hotels and homestay facilities in Taiwan

In the field of the tourism, hotels and homestay facilities account for considerable amounts of energy consumption and CO₂ emissions. This study presents an investigation conducted on the CO₂ emissions from four types of hotel in Taiwan. According to the results, the average CO₂ emissions of international tourist hotels, standard tourist hotels, general hotels, and homestay facilities are 28.9, 19.2, 12.5, and 6.3 kg-CO₂/person-night, respectively. Hotels with higher service levels produce higher average CO₂ emissions per person-night. Analytical results indicate that increasing stays at hotels with low CO₂ emissions (such as homestay facilities and general hotels), accommodating more guests together per room, and enhancing energy usage efficiency, can effectively reduce hotel CO₂ emissions without reducing the total number of guests. The results of this study may be applied to CO₂ reduction programmes for tourists, hotel enterprises, and contribute toward the formulation of government policy in Taiwan.     

Tourism agglomeration and urbanization: empirical evidence from China

Tourism-driven urbanization presents a new way of exploring the construction of a new-type of urbanization. Consequently, the relationship between urbanization and the frequent agglomeration of tourism activities has attracted much research attention in recent years. This paper empirically investigates the influence of tourism agglomeration on urbanization using China’s provincial panel data for years 1999–2012. A panel data model with a fixed effect model and a two-step system generalized method of moments estimation is constructed to explore that influence. Results show that tourism agglomeration positively influences urbanization, and there exists a U-shaped relationship between these two variables. After capturing the dynamic nature of urbanization, we estimate the long-term tourism agglomeration elasticity in China as 0.4566. This paper provides theoretical and practical implications on urbanization of China in view of tourism agglomeration.     

The repercussions and challenges of COVID-19 in the hotel industry: Potential strategies from a case study of Indonesia

The COVID-19 pandemic has hit the tourism and hospitality sector hard. Hotel managers face uncertainty in this environment in order to survive. This study explores the impact of COVID-19 on the hospitality industry, particularly hotels in Indonesia, one of the largest developing countries. It examines the challenges faced by hotel managers and the strategies used to survive. Through the lens of complexity theory, we discuss whether the strategies being deployed are beneficial, redundant, or detrimental for hospitality businesses. Based on semi-structured interviews with 13 hotel managers in Jakarta, Bandung, and Bali, the findings shed light on the various challenges to hotels. We also highlight which challenges could turn into opportunities. The findings show that the strategies that managers are deploying could be detrimental in the future. Potential future research directions are also discussed.     

Travel deterrents to regional destinations

Travel motivation is prevalent in the tourism literature. Very few studies however have examined travel deterrents to visiting popular destinations. This study approaches from travel motivation understand why tourists do not visit regional destinations and from tourists’ background to identify who do not visit these destinations with a focus on well-known regional destinations in Australia. The results show that convenience to the destinations, timing, motivation and tourist attractions are the major deterrents, and the level of these deterrents is dependent upon some of the demographic background of tourists. The findings and implications conclude this paper.     

Using deep learning and visual analytics to explore hotel reviews and responses

This study aims to use computational linguistics, visual analytics, and deep learning techniques to analyze hotel reviews and responses collected on TripAdvisor and to identify response strategies. To this end, we collected and analyzed 113,685 hotel reviews and responses and their semantic and syntactic relations. We are among the first to use visual analytics and deep learning-based natural language processing to empirically identify managerial responses. The empirical results indicate that our proposed multi-feature fusion, convolutional neural network model can make different types of data complement each other, thereby outperforming the comparisons. The visualization results can also be used to improve the performance of the proposed model and provide insights into response strategies, which further shows the theoretical and technical contributions of this study.     

Development of a conflict management model as a tool for improved project outcomes in community based tourism

Community based tourism (CBT) offers many opportunities, however, conflict frequently occurs while developing CBT in communities around the world. Despite conflict limiting the potential of CBT, conflict management in CBT has not previously been systematically studied. To investigate conflict and conflict management during CBT, a linear model of conflict management was developed and subsequently tested through a three phase qualitative process: analysis of CBT literature, online international survey of 29 CBT stakeholders, and in-depth interviews of 23 CBT stakeholders. Results endorse the proposed linear model of ‘conflict themes’: an ‘instance’ of conflict, followed by a ‘response’, which results in an ‘impact’. The rich data highlights the complexity involved, which was incorporated into the expanded model with three additional scenarios: ‘new conflict develops’, ‘interrelated conflict themes’, and ‘simultaneous conflict themes’. The complete Conflict Management Model provides stakeholders with a tool to address conflict, thereby improving the outcomes of CBT.     

Effects of non-aeronautical activities at airports on the public transport access system: A case study of Zurich Airport

Many planning authorities and airports study measures to increase public transport use for airport ground access and egress. At the same time, an increase in real estate development at and around airports is occurring, both due to airports seeking new revenue possibilities and other developers attempting to profit from high value locations. This paper considers non-aeronautical activities at large airports, largely commercial centres and transit hubs, as land uses that have the potential to improve the situation for operating public transport services. In order to assess potential benefits and disadvantages, four research questions are considered: (1) Can the additional travel volume reach levels at which it has a significant impact? (2) To what extent do non-aeronautical activities influence the public transport access system? (3) Is the resulting demand distribution better or worse regarding peaking behaviour? (4) Is there a potential for the resulting overall demand to bring about capacity shortages?A case study is conducted at the airport of Zurich, Switzerland, which finds that non-aeronautical activities in the direct airport vicinity have led to a situation where the operation of public transport services is much more viable due to overall higher passenger numbers and a more even distribution throughout the day. It is concluded that locating non-aeronautical activities at airports can, in addition to providing commercial benefits to developers, lead to a situation where improved public transport services become feasible.