Does COVID-19 affect metro use in Taipei?

This paper provides the first evidence of the causal effect of COVID-19 on metro use using real-time data from the Taipei Metro System in Taiwan. In contrast to other cities or countries, Taiwan did not enforce strict social lockdowns or mandatory stay-at-home orders to combat COVID-19. The major prevention strategies to the pandemic in Taiwan include promoting social distancing, mandating the wearing of face masks in public areas, and requiring all international arrivals to quarantine for 14 days. Using administrative data on confirmed cases of COVID-19 and ridership from metro stations with the difference-in-differences model, we find that an additional new confirmed case of COVID-19 reduces metro use by 1.43% after controlling for local socio-demographic variables associated with ridership and the number of international arrivals to Taiwan. This result implies that the reduction in metro trips is attributable to decreases in residents' use of public transportation due to perceived health risks. Furthermore, the effect of COVID-19 on metro use disproportionally impacts stations with different characteristics. The effect is more pronounced for metro stations connected to night markets, shopping centers, or colleges. Although decreases in metro ridership lower the revenue of the Taipei Metro System, our results indicate a tradeoff between increased financial burdens of public transportation systems and reducing medical expenses associated with COVID-19.     

Oil price dynamics and airline earnings predictability

This study examines the effect of oil price dynamics on quarterly earnings and their predictability with a sample of 30 airlines for 1994–2017. First, we document a significantly positive impact of demand-driven oil shocks on airline earnings, suggesting that the revenue effect from shifting air travel demands dominates the cost effect of aviation fuels. Regarding earnings predictability, we find evidence of deterioration in oil-volatile quarters as indicated by both the earnings variability based on common benchmarks and the quality of analyst forecasts issued early in the quarter. We further show that supply-driven oil shocks have a more detrimental impact on earning predictability than demand-driven oil shocks. Finally, we do not find supporting evidence for the possible moderating effect of hedging.     

Evaluating financial performance of commercial service airports in the United States

Studies on airport performance have focused primarily on productivity and operational efficiency. There are very few studies on airports’ financial viability and strength, especially those in the United States. Most of the U.S. commercial service airports are government-owned entities and operated for the service of the community rather than for profit, but expected to be financially self-sufficient and raise capital funds mainly through the bond markets. However, past studies of the financial performance of U.S. airports have relied on traditional profitability measures and financial efficiency measures that are more appropriate for airports owned and operated by for-profit entities. Based on the literature for non-profit organizations and the practices of credit rating agencies and government oversight bodies, this paper adopts six pertinent financial performance metrics to measure and compare the operational financial performance, leverage, and liquidity of 60 large and medium commercial service airports in the United States during the 2010–2017 period. The paper further examines factors that may affect airport financial performance. The results reveal that large hub airports have better liquidity while medium airports have better leverage during the study period. These results suggest that the effect of airport size on financial performance is inconclusive. Regression analysis shows that airports with high productive efficiency and those without a dominant carrier tend to have more surplus revenues for meeting their operational financial needs and capital spending and have better liquidity. The paper highlights the importance of using appropriate metrics to evaluate the financial performance of public sector entities and provides relevant information to bond investors. The devastating impacts of the COVID-19 pandemic on airports accentuate the significance of leverage and liquidity. Therefore, the financial metrics discussed in this paper would help support public policy debates and allocate public funds to the airports.     

The impact of airline lease agreements on the financial performance of US hub airports

This paper employs benchmarking analysis to examine the financial implications of the different types of airline lease agreements used by US airports. Five key financial performance areas relating to cost effectiveness, revenue generation, commercial performance, financial profitability and capital investment are analysed using financial data from 2011/12 for 23 of the 29 large-hub airports. The results show that compensatory airports are the most financially efficient, particularly in terms of debt efficiency, revenue generation and profitability while the vertical airport airline relationship that is common at residual airports delivers higher levels of commercial performance and cost efficiency.     

How does demand uncertainty affect food and beverage capacity in the hotel industry?

This study investigates the effect of demand uncertainty on hotels’ food and beverage (F&B) capacity using the operation data of international tourist hotels in Taiwan. The empirical results of this study show that demand uncertainty leads to an increase in F&B capacity. Moreover, the magnitude of this effect increasingly strengthens for hotels with larger F&B scales. Our results together with other studies on room capacity collectively indicate that hotels’ overcapacity problem resulting from demand uncertainty considerably varies with hotel scales and between different hotel sectors.     

Impact of sustainable management policies on tourism companies' performance: the case of the metropolitan region of Madrid

The adoption of sustainable management practices is booming among service companies, whether due to pressure exerted by external agents or the internal perception that not being aligned with sustainability distances companies from clients and puts companies' long-term prospects at risk. However, few studies have examined the combined effect of implementing environmental management practices and corporate social responsibility practices in the tourism sector. By analysing two surveys conducted with the managers of 370 hotels and 176 restaurants and using structural equations, this study concludes that sustainability practices have a direct and significant impact on the company's competitiveness and on the companies' financial results. However, a separate study of the two surveys shows significant differences between the two analysed groups. This article suggests that despite operating in the same sector, hotels and restaurants behave differently regarding sustainability practices, and they achieve significantly different results in their implementation. In addition, by focusing on the tourism industry, a highly competitive sector, this analysis sheds light on whether investing in sustainability is a good strategy for companies to differentiate themselves and survive in complex sectors.     

Application of an alternative expected marginal seat revenue method (EMSRc) in unrestricted fare environments

We reintroduce an expected revenue maximization formulation for airline seat allocation. We present a numerical method to find the exact solution to the integer programing problem. We further show that when this method is applied to a nested fare structure, it constitutes a heuristic method which has far better performance in an unrestricted fare environment, where fare buckets are completely undifferentiated, compared to EMSRa, EMSRb and EMSRb-MR. With use of simulation, we show that this method can recapture a significant portion of the potential revenue loss when restrictions are removed, while its performance in a fully differentiated environment is only marginally inferior compared to other methods. This method is also applicable to hotels and cruise lines where not only are there fewer “fences” around different offered rates, but also there is a greater tendency for consumers to buy down since most bookings are fully refundable.     

A Linear Programming approach for robust network revenue management in the airline industry

The classical revenue management problem consists of allocating a fixed network capacity to different customer classes, so as to maximize revenue. This area has been widely applied in service industries that are characterized by a fixed perishable capacity, such as airlines, cruises, hotels, etc.It is traditionally assumed that demand is uncertain, but can be characterized as a stochastic process (See Talluri and van Ryzin (2005) for a review of the revenue management models). In practice, however, airlines have limited demand information and are unable to fully characterize demand stochastic processes. Robust optimization methods have been proposed to overcome this modeling challenge. Under robust optimization framework, demand is only assumed to lie within a polyhedral uncertainty set (Lan et al. (2008); Perakis and Roels (2010)).In this paper, we consider the multi-fare, network revenue management problem for the case demand information is limited (i.e. the only information available is lower/upper bounds on demand). Under this interval uncertainty, we characterize the robust optimal booking limit policy by use of minimax regret criterion. We present an LP (Linear Programming) solvable mathematical program for the maximum regret so our model is able to solve large-scale problems for practical use. A genetic algorithm is proposed to find the booking limit control to minimize the maximum regret. We provide computational experiments and compare our methods to existing ones. The results demonstrate the effectiveness of our robust approach.     

财务监督责任和审计监督责任的界定

分析企业财务管理失控的原因,阐述财务监督和审计监督过程中重大问题未发现并造成国有资产损失等严重后果后如何正确界定财务、审计的责任,并提出了相应的管理对策。     

Impact of all-inclusive packages on hotel efficiency

In the last decade, all-inclusive packages have had an extraordinary boom in one of the most popular sun and beach tourism destinations in Europe, the Canary Islands. This fact reinvigorated the debate on potential benefits and negative effects on the local economy. However, there is no empirical evidence of the impact that all-inclusive packages may have on the efficiency in the hotel industry. This study assessed the effects of all-inclusive packages on cost and profit efficiency using the stochastic frontier approach and the model proposed by Battese and Coelli [(1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20(2), 325–332] in a sample composed of 102 hotels of the Canary Islands from 2008 to 2014. The empirical results revealed that the hotels that offered all-inclusive packages exhibited lower efficiency levels than those hotels that did not provide this service. These results have important implications for both public policies and hotel management.     

Long-run causality between customer satisfaction and financial performance: the case of Marriott

Prior research that examines the relationship between customer satisfaction and financial performance (FP) in the hotel sector assumes that changes in customer satisfaction lead to changes in the FP of hotels. This research note aims to bridge the gap by looking into the possibility that FP of hotels may lead to increase in customer satisfaction with the annual data of Marriott from 1995 to 2016. To study the existence of long-run interactions between customer satisfaction and FP with firm size that is proxied by number of employees as the control variable under small sample size condition, the presence of cointegration among these variables with different appropriate dependent variable is investigated with the bounds testing approach. The obtained results suggest that there is a positive long-run causality from FP to customer satisfaction, and customer satisfaction has no effect on FP in the long-run. This study also finds that firm size has no impact on customer satisfaction. Explanation on each of these findings is provided in the conclusion. The selected sample and availability of data limit the generalisability of the findings of this study. Different hotel brands, measurements and analysis techniques will further the understanding in this field.     

建立企业集团可持续发展财务监管体系的探讨

分析企业集团的财务特征，阐述企业集团建立财务监管体系的必要性，并从内控制度建设、投资监管、财务监管、预算监管、标准控制、内部审计及监事会监督等方面论述监管体系内涵。     

关于我国公安监督工作的几点思考

文章以“二十公”会议精神对公安机关监督工作提出的要求为出发点，回顾了建国以来我国公安机关监督工作的发展历史，分析了当前公安机关监督工作存在的问题及难点，提出了对新时期公安机关监督工作的几点构想。     

An analysis of demand uncertainty in the hotel market

This study proposes a two-step approach to investigate the impact of certain environmental variables on demand uncertainty within the hotel sector. Adopting a simultaneous-equation model and using the operation data of international tourist hotels in Taiwan, this study shows that chained hotels face less demand uncertainty than independent hotels. Additionally, hotels that are more distant from the airport or located in metropolitan areas face a significantly higher degree of demand uncertainty.     

Post-2010 FIFA Soccer World Cup: oversupply and location of luxury hotel rooms in Cape Town

An excess of hotel rooms in cities preparing to host a mega-event such as the FIFA Soccer World Cup is not a new occurrence. Between 2007 and 2010 the number of five-star hotel rooms in Cape Town increased by 50% and four-star hotel rooms by 20%. A spatial database of three-, four- and five-star hotels was compiled for the hotel sector of Cape Town. This paper reveals the global–local nexus of luxury hotel development in Cape Town (South Africa) and three different contexts in which the oversupply of hotel rooms must be understood. First is South Africa as a developing country engaged in hosting a hallmark event and engrossed in concomitant inflated tourism-related expectations. Second is the vulnerability of Cape Town's hotel sector with its overdependence on long-haul holiday tourists from a narrow northern-hemisphere market experiencing the worst economic recession since the 1930s. Third is the favourable economic trends in South Africa from 1999 to 2007 that have trapped hotel developers in a ‘fallacy of composition’.     

Luxury shopping in tourism

This study explores the concept of luxury shopping behaviour in tourism and identifies the perceived importance of different types and characteristics of the luxury products and services that tourists buy on vacation, as well as the importance of various shopping venues and destinations for luxury shopping. The study examines the significant differences in luxury purchasing patterns among various types of tourists identified on the basis of the frequency of shopping and the degree of importance attached to shopping. The results show that three groups, infrequent shoppers, sometimes shoppers and frequent shoppers, as well as non‐shoppers, neutral shoppers and great shoppers, significantly differ in their luxury shopping behaviour. The implications of study results and recommendations for future studies are discussed. Copyright © 2009 John Wiley & Sons, Ltd.     

Is there a case for replacing parking charges by road user charges?

The price of parking is often considered an important tool with which to influence transport choice but, since many local authorities have limited control over off-street charges and since parking charges have no direct impact on through traffic, its influence on overall travel demand may be limited. Road user charges, on the other hand, do appear to offer an effective means of influencing overall demand. The problem is that public acceptance of such charges is low unless some obvious “carrot” can be identified. This paper explores the possibility that the removal of parking charges might be that “carrot”. Our analysis suggests that, although the removal of parking charges would reduce revenues and dilute the reduction in demand caused by the introduction of road charges, the combined effect might, in certain circumstances, be more beneficial to the local economy and might still yield a net increase in revenue. Given the incidence of impacts, it also appears that a combined scheme would be more equitable and might stand a greater chance of achieving public acceptance than a more conventional road charging scheme. The paper identifies the circumstances in which a combined scheme might work well and outlines the detailed analysis that would be necessary to confirm this.     

Using values of travel time savings for toll roads: avoiding some common errors

There are many empirical studies on the estimation of values of travel time savings (VTTS), with varying degrees of rigour and relevance, mostly based on the observation that travellers are prepared to spend money to save time. These values are applied to both forecasting the effects of speed changes on behaviour and also for estimation of the social benefit of such savings, in order to calculate value for money of spending public funds on transport investments. The sources of empirical information on such values are not always compatible with the models and software within which the results are used. In recent years, an increasingly important application has been to calculate the potential revenue from tolled roads, and networks with user charges, which offer high speeds at a higher price: here the important issue is not hypothetical willingness to pay, but the actual money that will be handed over. This changes the focus from hypothetical to bankable VTTS. It is shown that some common practices risk substantial error in calculation, affecting the sharing of risk between public and private sectors. A particularly important case is where an average value is taken as representative of a skewed distribution of values—in these circumstances there will be a tendency to overestimate the revenue, and underestimate the traffic impact, of a charge, because for a given mean VTTS, there will be a smaller number of individuals who are prepared to pay the toll. To correct this bias, the main tasks are: establishing a relevant set of trip-purpose specific VTTS distributions and selecting a way of handling the distributions in patronage forecasting, growing VTTS through time, treating the VTTS of car passengers, and establishing an appropriate set of rules for converting disaggregated (or heterogeneous) components of travel time values into a single trip value appropriate to the project being evaluated. Other related problems of the use of values of time relate to the assumption that these values grow in proportion to income, and the extent to which they are confounded with other effects.One troublesome feature is that most, and perhaps all, of the problems discussed tend to produce biases in the same direction, namely to risk overestimating revenue, in the short and long run. This produces a tendency to appraisal bias, which can distort the contractual confidence between partners. Overall, it is likely that current assumptions are underestimating the degree of toll-avoiding behaviour, and overestimating the financial viability of projects.     

The impact of fuel taxes on public transport — an empirical assessment for Germany

An increase in fuel taxes is often connected with the hypothesis of a triple dividend: Apart from the modal-shift-effect, which relieves the environment as well as the infrastructure, and the fiscal effect, which should increase the public revenue, the movement of passengers to public transport systems should decrease its deficit. However, this calculation fails because higher fuel prices increase peak-hour transit use but not leisure or off-peak transit. But the typical attribute of peak traffic is above-average marginal costs and below average revenues. Therefore, higher fuel taxes will increase public transport's deficit rather than decrease it. The fiscal lucrativeness of higher fuel taxes will be significantly lower than is often expected.     

Distinct features of lasting and non-lasting airline alliances

This paper seeks to uncover key differences between lasting and discontinued airline alliances by applying factor analysis. Several meaningful patterns emerge. First, alliances aiming at customer loyalty and operations integration are more likely to be long lasting. Second, bilateral code-sharing with serious financial tie-up through pooling agreement on revenue/costs is another distinct feature of lasting alliances. Third, the leading cause for alliance termination is expansion into non-core and non-customer-oriented activities. Finally, alliances engaging solely in code-sharing, joint operations, or joint marketing without other substantial commitment are likely to fail or only be short term. The paper concludes with a validation of key findings using logistic regression.