Sunk costs and travel cancellation: Focusing on temporal cost

Tourism products differ from ordinary retail products in terms of the spatial and temporal separation between the purchase and experiencing the product. Despite its importance, temporal separation has not drawn much attention in tourism research. The main objective of this study is to understand the effects of temporal sunk costs on potential travelers' cancellation intentions, in addition to monetary sunk costs. The results of this study suggested the possibility that temporal costs can be converted into monetary costs, but the conversion relationship may not be linear. This study also indicated that travelers' intentions to cancel a travel product decreased as the temporal and monetary sunk costs increased. Further, prior experience moderated the relationship when temporal sunk costs were involved, suggesting that repeat visitors' intentions to cancel their reservations are more influenced by temporal sunk costs than first-time visitors. Further discussion and implications are provided in the main body of this paper.     

Does Medical Equipment Expansion Lead to More Diagnostic Services? Evidence from China’s Sichuan Province

A major goal of China’s healthcare reform is to control the increasing healthcare spending, much of which can be attributed to the overuse of diagnostic tests and has been relatively less studied in the literature. This article analyzes the correlation between medical equipment expansion and the increase in diagnostic test expenditure in China, using Sichuan Province as an example. County-level data aggregated from hospitals’ annual reports in Sichuan Province from 2008 to 2012 were used. The results show a positive correlation between the expansion of medical equipment and the increase in diagnostic test expenditure. Our study provides implications on reforming China’s healthcare delivery system and medical equipment regulation policies.     

马克思货币需求理论与西方货币需求理论的比较

货币理论是经济学中最富争论的理论之一。货币理论的基础也就是供求规律。对于其中的货币需求理论,从古至今有不少学者发表了不同的看法,形成了几种互不相同但彼此又有一定联系的学说。比较这些理论的异同,对于我们学习货币理论并制定和分析现实的货币政策具有重要的理论意义和实践价值。     

Light fuel demand and public policies in Brazil, 2003–2013

The main objective of this article is to evaluate determinants of demand for light fuels in Brazil between 2003 and 2013. Through a vector autoregression analysis, an effort was made to identify and quantify the impact of different economic variables and public policy measures adopted during this period on the surprising increase in energy consumption by Brazil’s light-vehicle fleet. The results suggest that demand for energy by the light-vehicle fleet was influenced by an increase in income, by a decrease in fuel prices associated with a policy designed to prevent increases in the price of gasoline from pushing the inflation rate up, by a higher availability of credit for buying vehicles, and by a drop in the real price of those goods, with emphasis on countercyclical measures to waive the tax on industrialized products levied on new vehicles during economic downturns in the automotive industry.     

中国主要木材产品的需求收入弹性测算与启示

木材产品是重要的林产品,是国家经济建设和人民生活主要的资料,在国民经济与社会发展中发挥积极作用。通过构建双对数模型,采用实证分析的方法,估算出2005²012年间原木、锯材和人造板这三种木材林产品的平均需求收入弹性分别为0.301、1.100和1.338,总结出中国木材产品消费和国民经济增长的作用规律,并得到加速森林资源培育、继续优化产业结构和建立可持续贸易机制几点启示。     

The use of open source internet to analysis and predict stock market trading volume

The objective of this paper is to evaluate the impact of information demand and supply on stock market trading volume. Few studies have demonstrated the role of Google search data in analyzing trading volume activity. In this study, we employ a proxy for information demand which is derived from weekly internet search volume. The latest is from Google Trends database, for 25 of the largest stocks traded on CAC40 index, between April 2007 and March 2014. We use news headlines as a proxy for information supply. We use Garch model to analyze and predict trading volume.The empirical results present new evidences. First, information supply has an impact on trading volume but information demand's impact is much more important. Secondly, by applying MCA to results found, it could be concluded that the impact of public information on transaction volume is conditioned by two elements: the firm and market news disclosure and the second element relates to the characteristics of the market participants, more precisely their news interpretations and their risk aversion. Thirdly, we used Chow structural break test to verify the stability of our model. We found that for securities with structural changes, information demand is the responsible variable of the change in our model. Finally, we found that information variables have a predictive power on transaction volume.This paper contributes to existing literature by incorporating open source internet-based data into the analysis and prediction of transaction volume. Using internet information about the stock market, which has appeared recently as an interesting research for financial empiricists, computer scientists and practitioners, will have a very important utility because quantifying demand and supply of information becomes possible.     

Customer engagement with tourism social media brands

In tourism, customer engagement has been found to boost loyalty, trust and brand evaluations. Customer engagement is facilitated by social media, but neither of these phenomena is well-researched in tourism. This research contributes in two ways. First, we validate the Customer Engagement with Tourism Brands (CETB) 25-item scale proposed by So, King & Sparks (2014) in a social media context, and offer an alternative three-factor 11-item version of the scale. Second, we replicate their proposed structural model, and test our alternative model, to predict the behavioural intention of loyalty from engagement, and to test customer involvement as an antecedent to engagement. Ultimately, we propose a customer engagement scale and a nomological framework for customer engagement, both of which can be applied in both tourism and non-tourism contexts. Managers of tourism brands on social to better assess the nature of customer engagement with the parsimonious 11-item scale.     

论贵州旅游产品的开发——从旅游心理角度

分析旅游产品及其心理学价值,从心理学的角度探讨了旅游的心理与行为意义,并尝试以旅游消费心理发展的新动向为出发点,以旅游产品为对象,对贵州旅游产品的开发的进行心理学的思考。     

The antecedents of memorable tourism experiences: The development of a scale to measure the destination attributes associated with memorable experiences

Providing visitors with memorable tourism experiences (MTEs) is important for achieving success in the highly competitive tourism marketplace. To support destination managers, this paper developed a scale instrument that conceptualizes the attributes of destinations associated with MTEs. Following a rigorous scale development procedure, this study identified a 10-dimensional construct that affects MTEs. The data support this dimensional structure of the attributes of destinations affecting MTEs and the internal consistency and the validity (i.e., content, construct, convergent, and discriminant) of the scale. The theoretical and managerial implications of the study's results are discussed.     

Vicious advice: Analyzing the impact of TripAdvisor on the quality of restaurants as part of the cultural heritage of Venice

Venice is one of the most popular tourist destinations in the world. In Venice, as in other middle-sized heritage European cities, strong tourism pressure is trapping the city in a vicious circle that is eroding the quality of its tourism attractions. This development is related to the growing numbers of excursionists who lack the time to make informed decisions about the quality of goods. Consequently, suppliers reduce the quality of their offerings and instead focus on market share. Consumer-generated media (CGM) may help resist this development by providing excursionists with aggregated, up-to-date information on the quality of tourism offerings as perceived by customers. In this paper, we investigate the efficiency of TripAdvisor in helping tourists to make informed decisions and in increasing the popularity of restaurants offering a higher expected quality. Our findings suggest that, although TripAdvisor's algorithm is designed to reward quality, it does not adequately meet these goals.