The impacts of governance and institutions on inbound tourism demand: evidence from a dynamic panel data study

This study explores the impact of governance and institutions on inbound tourism demand in Malaysia using a dynamic panel data approach for 45 tourism source countries over the period 2005–2015. The results show that institutions play a very important role in explaining the behaviour of inbound tourism demand. To obtain a better picture, we investigate the response of international tourists to disaggregated institutional quality. We find that international tourists are more concerned about political stability, governmental effectiveness, regulations, laws, and corruption than voice and accountability. Therefore, policymakers should focus on ways to improve institutional quality to significantly increase international tourist arrivals.     

Estimating the long-run effects of socioeconomic and meteorological factors on the domestic tourism demand for Galicia (Spain)

Tourism is one of the more important sectors for the economy of Galicia (northwest of Spain). The aim of our study is to quantify determinants of Galician domestic tourism demand and their impacts. Additionally, confidence intervals for these impacts are calculated by bootstrapping data. The results show that income, Eastern vacations and the celebration of the Holy Year of the Apostle Saint James have had a relevant positive impact on tourism. There is also a significant positive connection between a meteorological phenomenon, the North Atlantic Oscillation (NAO), and tourism demand. On the other hand, the differential rates of inflation between Galicia and the rest of Spain and the 2008 economic crisis have had a negative effect.     

Off-season tourists and the cultural offer of a mass-tourism destination: The case of Rimini

This paper assesses the potential implications on off-season tourism of enhancing the cultural offer of Rimini, a popular Italian seaside holiday destination hosting about 12 million overnight stays per year. Since more than 9 million of these stays are concentrated in the summer season, in the last 20 years. Rimini has been undergoing a policy of seasonality smoothing, which mainly pivots around business and cultural tourism. This assessment has been carried out through discrete choice experiments submitted to a sample of about 800 tourists who visited Rimini outside the summer months. Since tourism can be viewed as a composite good, which overall utility depends on how the component characteristics are arranged, the choice experiments allow to disentangle the importance and the willingness to pay of tourists for different attributes of the holiday. The choice model incorporates a number of possible changes to actual tourism features (which are also the subject of public debate), including them in hypothetical alternative “holiday packages”. The conditional logit analysis of the choice experiments can highlight any synergy or trade-off between cultural and business tourism. Results suggest that business and leisure tourists share many features related to the use of the territory, while there are important trade-offs between these two groups and cultural tourists. Since business tourists have a higher willingness to extend their stay, a softer budget, and their demand is also complementary to the demand of summer tourists (Brau, Scorcu, & Vici, 2009), from the destination point of view investing in this market segment would be the best option. Although a “second best”, however, cultural tourists share with the local population of Rimini many aspects of the demand of territory (Figini, Castellani, & Vici, 2009). Hence, cultural tourism can play a fundamental role in the intermediate season as a tool for smoothing seasonality, to diversify investments and to give value to the city’s cultural heritage.     

The causality examination between demand uncertainty and hotel failure: A case study of international tourist hotels in Taiwan

The hotel business is highly sensitive to economic cycles, as the industry faces high frequency and high fluctuation of uncertainty over the demand for lodging services. Without a thorough consideration on the issue, hotels may undergo a business crisis. This research therefore investigates the influence of demand uncertainty on hotel failure by using the operation data of international tourist hotels in Taiwan during 1995–2008. The analysis applies two stages of estimation. The first stage employs a first-order autoregressive model, AR(1), to model lodging demand uncertainty. The second stage estimates the likelihood of hotels’ failure by using a logit model. The results are supportive to determine that the demand uncertainty causes hotel failures.     

Impact of financial/economic crisis on demand for hotel rooms in Hong Kong

The main objectives of this study are (1) to identify the factors that influence the demand for hotel rooms in Hong Kong and (2) to generate quarterly forecasts of that demand to assess the impact of the ongoing financial/economic crisis. The demand for four types of hotel room from the residents of nine major origin countries is considered, and forecasts are generated from the first quarter of 2009 to the fourth quarter of 2015. Econometric approaches are employed to calculate the demand elasticities and their corresponding confidence intervals, which are then used to generate interval demand predictions. The empirical results reveal that the most important factors in determining the demand for hotel rooms in Hong Kong are the economic conditions (measured by income level) in the origin markets, the price of the hotel rooms and the ‘word of mouth’ effect. Demand for High Tariff A and Medium Tariff hotel rooms is estimated to have experienced negative annual growth in 2009 due to the influence of the financial/economic crisis, whereas that for High Tariff B hotel rooms is thought to have grown in 2009 after having decreased in 2008. The demand for tourist guesthouse rooms is expected to be the least affected by the crisis. Overall demand is predicted to recover gradually from 2010 onwards.     

The impacts of international tourism demand on economic growth of small economies dependent on tourism

This paper studies the impacts on economic growth of a small tourism-driven economy caused by an increase in the growth rate of international tourism demand. We present a formal model and empirical evidence. The ingredients of the dynamic model are a large population of intertemporally optimizing agents and an AK technology representing tourism production. The model shows that an increase in the growth of tourism demand leads to transitional dynamics with gradually increasing economic growth and increasing terms of trade. In our empirical application, an econometric methodology is applied to annual data of Antigua and Barbuda from 1970 to 2008. We perform a cointegration analysis to look for the existence of a long-run relationship among variables of economic growth, international tourism earnings and the real exchange rate. The exercise confirms the theoretical findings.     

Market structure and demand-side substitutability of chained urban hotel segments

This study analyzes how the demand in hotel markets is divided amongst chained hotel segments. Hypotheses regarding consumers’ switching behavior due to changes in income levels and relative prices are tested using data from 25 major urban markets in the United States, encompassing segments ranging from luxury to economy over 43 quarters. The effects of differentiation and market concentration are also investigated in this context. The results suggest that leisure and individual consumers of the low-scale segments may be trading “up” to higher scales when their income increase, but that upscale segments’ corporate consumers are not necessarily trading “down” when Corporate Income fall. In addition, only low-scale segments appear to be substitutes to upscale segments, but the inverse seems not to be true. Also, properties in mid-range segments are found to be the only ones benefiting from a high market concentration, while low-scale properties turn out to be the ones gaining from differentiation through price.     

新冠肺炎疫情的经济影响分析：长期视角与短期应对*

本文从需求和供给两侧分析了此次新冠疫情对我国经济的短期和长期影响。在需求侧，基于理论分析和非典疫情对经济的影响特征，经济总需求会随着此次疫情的结束而在短期内快速得到恢复。但此次疫情也会加大总需求和居民收入增速的下行压力。在供给侧，疫情不仅会降低劳动力资源配置效率，加剧劳动力供需结构矛盾，同时也大幅降低了我国的资本投资，在缺乏有效干预措施下，很可能加剧我国资本投资和经济总体增速的短期下滑趋势。而基于理论分析，相应供给冲击也将对我国长期产出带来增长压力。基于疫情对我国经济需求侧和供给侧的影响分析，2020年要实现全面建成小康社会的经济目标需要实施改革力度更大、更为有效的财政和货币等支持政策。     

中国财产保险需求的实证研究:基于险种结构

决定财产保险需求的因素分为宏观性间接因素和结构性直接因素两大部分。选择具有代表性的三个宏观性变量和三个结构性变量,利用2005-2009年我国的省级面板数据,使用逐步回归方法,研究整体财产保险需求和企财险、工程险、车险、信用险等四个要主子险种需求的决定因素。实证结果较好地解释了我国财产保险需求的内因。应逐步建立商业保险补偿为主,社会救济为辅的新型社会风险管理体系。     

旅游需求函数的研究

由于旅游区价格具有一定的刚性和稳定性，采用直接观察法不易得出旅游需求函数。文章通过对旅行成本法的研究，首次提出试用旅游复合成本的变化来替代旅游区价格的变化，综合考虑收入、时间的机会成本等因素，使用出游率和旅游复合成本2个指标，建立旅游需求函数，揭示旅游需求规律，探索出一种简易可行计算旅游需求函数的方法。