The determinants of Italian domestic tourism: A panel data analysis

In this study, a GMM panel data estimation is used to investigate the main determinants of Italian domestic tourism demand as measured by regional bilateral tourism flows. The analysis is developed both at aggregate level and for the two traditional macro-areas of the country, namely Centre-North and South. For the whole nation, the importance of traditional economic variables in determining domestic tourism flows is confirmed. However tourist actual choices appear also to be influenced by past experiences and by regional differences in the quality of the wider environment. Additionally it appears that, for Italian tourists, domestic and international destinations behave as substitutable goods. The sub-sample analysis highlights some interesting differences between macro-areas. In particular, southern tourists appear more responsive to income variations, and less sensitive to prices differentials than their northern counterparts. Moreover, the degree of competition between domestic and outbound trips is higher in the South. Finally, southern tourists seem to be more influenced by environmental attributes while northern tourists are more sensitive to cultural activities.     

中国旅游地理研究：成果应用转化和研究技术革新

旅游的产业属性决定了旅游地理研究的实践性,在服务国家战略和产业实践需求的过程中,中国旅游地理学科呈现出研究领域、方法和应用的新特征。本文围绕旅游规划、旅游资源、旅游大数据和旅游实验方法等进行总结与展望,认为：（1）旅游规划是透视旅游地理研究发展的重要视角,旅游规划的知识域主要包括旅游开发战略与对策、旅游业与旅游企业、乡村旅游与乡村振兴等12个方面;（2）新时代文化和旅游资源普查面临文旅资源保护和整合利用的重大现实需求,为旅游地理研究带来了文旅资源的内涵与分类评价、普查信息集成与应用、普查技术与组织方式等新命题;（3）大数据背景下要求旅游地理探寻新科学问题,重点要关注大数据旅游统计测量模型和指标规则的规范,数据伦理与信息茧房,大数据旅游现象的地理效应和相关空间格局等研究;（4）实验研究方法在认识论层面从描述走向解释预测,在方法论层面从调查走向直接测量,为认识和理解旅游情境下人地关系的核心科学问题提供了“科学化”的研究路径。因此,面对新时代战略要求和旅游业发展趋势,旅游地理学应加强产业实践、研究方法和学科交叉研究,提升学科服务国家战略和社会经济发展的支撑能力。     

旅游经济增长及其溢出效应的空间面板计量经济分析

文章首次基于空间面板计量经济学模型,在检验我国省域旅游经济增长是否存在空间依赖性的基础上,估计了资本和劳动对旅游经济增长的贡献,检验了旅游经济增长过程中的空间溢出效应。研究结果显示:2001~2009年间,中国省域旅游经济增长的空间依赖性和集群趋势加强,邻近省域的经济增长及旅游资本投入的空间溢出效应明显;资本和劳动的旅游产出弹性系数均为正,前者对旅游经济增长的贡献大于后者,我国省域尺度的旅游经济增长主要依赖于资本要素投入驱动,呈现出资本密集型特征,劳动力要素的贡献尚未充分发挥出来。政府在制定旅游产业政策和发展规划时,必须致力于加强邻近地区旅游资本和劳动投入的合作与交流,促进旅游经济增长中的资本空间溢出效应,改革旅游业国民收入初次分配及再次分配体制,激活邻近省域旅游劳动力投入与旅游经济增长的空间互动性,以便提高邻近地区及本地区劳动力对旅游经济增长的协同贡献。     

Mapping Cilento: Using geotagged social media data to characterize tourist flows in southern Italy

New sources of geotagged information derived from social media like Twitter show great promise for geographic research in tourism. This paper describes an approach to analyze geotagged social media data from Twitter to characterize spatial, temporal and demographic features of tourist flows in Cilento - a regional tourist attraction in southern Italy. It demonstrates how the analysis of geotagged social media data yields more detailed spatial, temporal and demographic information of tourist movements, in comparison to the current understanding of tourist flows in the region. The insights obtained from our case study illustrate the potential of the proposed methodology yet attention should be paid to biases in the data as well as methodological limitations when drawing conclusions from analytical results.     

Roles of intangible cultural heritage in tourism in natural protected areas

The ‘new paradigm’ for protected areas emphasizes communities and their cultural assets, including intangible cultural heritage, as critical and inseparable parts of these areas. As tourism can be a significant factor in the economic framework of natural protected areas (NPAs), the prominent role of the community can have important implications. This paper reports on one of the first empirical studies on the interaction between intangible cultural heritage and tourism in an NPA with a special focus on the role of intangible cultural heritage. It is based on six months of qualitative ethnographic fieldwork in Qeshm Geopark, in the South of Iran. Local intangible cultural heritage is found to manifest and be used in tourism in three distinct ways: First, as a source of attraction and addition to any tourism offerings; second, as conservation tool, especially where the natural environment has strong cultural meanings for the local community; and third, as a driver for facilitating culturally and naturally sensitive behaviour by visitors. Concluding statements address any conceptual and practical implications.     

中国旅游全要素生产率差异与收敛实证研究

本文利用非参数DEA—Malmquist指数方法测算了2001～2009年中国省际旅游全要素生产率,并进行生产率指数分解,对中国旅游全要素生产率时序变化和区域差异进行了分析,之后又利用经济增长收敛理论对中国旅游全要素生产率进行了盯和口收敛性检验。实证研究结果表明,中国旅游全要素生产率年均增长12．7％,其中,技术进步创新率为6．7％,技术效率增长5．6％,技术进步是中国旅游全要素生产率增长的主要源泉;中国旅游全要素生产率存在显著的时空差异性;中国旅游全要素生产率并不存在显著矿收敛和条件18收敛,但存在显著绝对卢收敛,说明中国各地区旅游全要素生产率差距正在逐步缩小,最终收敛于相同的稳态均衡水平,然而由于中国旅游业发展尚未达到成熟阶段,所以现阶段中国旅游全要素生产率增长尚未找到自身合适的条件收敛路径。     

Rural tourism development in Lithuania (2003–2010) — A quantitative analysis

The objectives of the Rural Development Programme for Lithuania for the period 2007 to 2013 are to: (a) preserve natural and cultural heritage objects, (b) support complementary activity in the rural areas, and (c) generate rural tourism as an economic sector. The aim of this study is to identify current trends specific to the Lithuanian rural tourism sector and propose potential means of development. This study focuses on an inter-county assessment of rural tourism flows within Lithuania by the means of an index decomposition analysis. Consequently, an analysis was undertaken covering factors including the number of the rural tourism farmsteads, spatial distribution of those farmsteads, and capacity, an amended Defert Index, and duration of stay effects. The analysis suggests that the Lithuanian rural tourism sector was negatively affected by the 2008 recession. Indeed, the impacts exhibited relatively high elasticity of demand for rural tourism. Hence, there is a need for the further development of appropriate marketing and information dissemination strategies aimed at both middle and lower income consumers.     

基于分形理论的区域旅游中心地规模与空间结构研究——以湖南省为例

旅游中心地对区域旅游的发展起着十分重要的作用,其规模和空间结构是否合理,将在很大程度上影响区域旅游发展的效益和质量.文章首次尝试运用分形理论分析区域旅游中心地的规模和空间结构,并以湖南省为例进行了实证研究.研究结果表明:采用分形理论来研究区域旅游中心地规模和空间结构是可行的;分形理论和方法是优化区域旅游中心地规模和空间结构,促进区域旅游发展的有效工具.     

Cultural capital and online purchase of tourism services

Based on an original conceptual framework that links cultural capital and pro-active behaviors, this paper investigates whether individuals' cultural capital increases the probability of purchasing tourism services through the Internet.The identification of possible direct channels through which tourism firms can address and attract consumers is particularly relevant for an industry in which re-intermediation processes by big online travel agencies have partly dampened the benefits of disintermediation along the supply chain.Through a Heckman-corrected probit run on year 2016 microdata referred to the Italian population, evidence is found that the cultural participation is associated to individuals' higher probability to purchase tourism services online. This adds some new dimensions to the understanding of factors that have a bearing on online purchasing.     

Let your algorithm shine: The impact of algorithmic cues on consumer perceptions of price discrimination

How can hospitality and tourism firms reduce consumers’ perceptions of unfairness regarding their price discrimination practices? We propose that pricing algorithms, as advanced revenue management tools, can play a role. We demonstrated the effects of an algorithmic cue through a tweet analysis and four experiments. We found that informing consumers that the offered price is determined by algorithms mitigated their negative responses in the disadvantaged price discrimination context. Also, such algorithmic cue effects only occur when the algorithm is less anthropomorphic (vs. highly anthropomorphic or human). The positive impact of an algorithmic cue was identified not only when customers directly experienced disadvantaged price discrimination but also when they obtained the information from different channels. The results suggest hospitality and tourism firms that have implemented pricing algorithms in their revenue management can benefit from disclosing an algorithmic cue to customers.     

旅游发展、空间溢出与经济增长——来自中国的经验证据

针对传统经验研究文献忽视空间相关性而导致的研究结论偏颇问题,文章采用经济学较为前沿的空间面板计量方法,利用中国30个省份1999~2009年面板数据,实证检验了旅游发展与经济增长之间的影响关系。研究结果表明:旅游发展呈现出明显的空间自相关性,具有显著空间集聚特征,大部分省份处于高-高和低-低类型区;旅游发展对经济增长具有显著正向促进作用,传统面板回归模型没有考虑空间相关性,高估了这一作用;旅游发展对经济增长存在显著空间溢出效应,并具有较强的稳健性。     

转型期城市旅游经济时空变异及其异质性模拟——以泛长三角地区为例

运用GIS技术结合探索性空间数据分析方法,选取2001年、2005年和2010年3个时间断面数据,探讨了转型时期泛长三角城市旅游经济空间集聚及异质性空间格局演化特征,并基于半变异函数进行了空间异质性格局的模拟。结果表明：泛长三角城市旅游经济空间集聚态势明显,人均入境旅游收入、人均旅游总收入及其增长空间格局集聚态势差异显著,以上海和南京为中心的集聚区表现异常凸显。同时,空间滞后模型检验发现,最小二乘法估计的F统计量均大于100,拟合优度在0．8以上,最小二乘法估计的残差通过1％检验．经济发展水平、交通发展程度对城市旅游经济发展起到了较大的促进作用,旅游经济中心的极核作用越来越显著。结构化梯度引起的关联效应呈现上升态势,控制旅游经济发展的全过程,结构性因素和随机性因素的综合作用,共同促进了旅游经济的整体提升,随着区域旅游合作机制的不断深入,异质性格局将呈现弱化态势。     

Spatial spillovers of agglomeration economies and productivity in the tourism industry: The case of the UK

This research investigates the direct and (indirect) spatial spillover effects of agglomeration economies on the productivity of the tourism industry. With increasing concerns about the persistence of low (labour) productivity in tourism across many developed economies, there is an urgent need to address this productivity challenge. Using major under-exploited UK microeconomic panel data, spatial econometric modelling is employed to estimate the effects of agglomeration economies on productivity. Findings reveal the significant effects of agglomeration economies on productivity within a specific region, but also significant spatial spillover effects across neighbouring regions, suggesting the possibility of productivity convergences. Competitive and complementary effects of agglomeration economies on productivity are identified.     

FDI spillovers in the Chinese hotel industry: The role of geographic regions,star-rating classifications,ownership types,and foreign capital origins

Although productivity spillovers have long been recognized to be a major benefit of foreign direct investment (FDI), such spillovers have not yet been systematically studied in the context of the hotel industry. This paper investigates hotel-related FDI spillover effects as well as moderating factors (geographic region, star rating classification, ownership type and foreign capital origin) in China. Evidence from province-level panel data reveals the existence and significance of intra-industry spillovers from foreign to domestic hotels in China, although the nature and magnitude vary based on different moderating factors. Domestic hotels in eastern and western China and those with alliance and limited liability ownership structures benefit significantly from productivity spillovers. Foreign-invested three-star hotels transfer a significant amount of positive productivity, whereas domestic three- and five-star hotels benefit the most from productivity spillovers. Moreover, foreign-invested hotels from Hong Kong, Macau, and Taiwan (HMT) and non-HMT countries generate positive spillovers of similar magnitudes.     

1994～2008年西部入境旅游典型省份客流集散时空动态研究——以陕西、四川、云南为例

文章构建了入境游客转移数量模型、入境旅游流空间集中指数模型、入境旅游流转移态矩阵,基于1994～2008年入境旅游统计数据和入境游客抽样调查数据,定量测评陕西、四川、云南三省入境旅游流集聚指数与扩散指数、入境旅游流集聚态指数与扩散态指数;通过时间序列对比,揭示西部三省入境旅游流的空间集散特征与动态变化过程;通过西部三省之间的对比,分析其入境旅游流空间集散的地域差异性。研究表明：四川省入境旅游客流集散能力最强,云南省居中,陕西省最弱;中国入境旅游客流系统是一个＂东部引领西部,西部反作用于东部＂的时空地域格局复杂的动态平衡系统。文章结合历时性分析方法和共时性分析方法,选取西部三省开展入境旅游客流集散时空动态研究,旨在为探索中国西部入境旅游客流集散的时空演变特征与潜在机理提供典型案例。     

Influence of the High-Speed Rail on the Spatial Pattern of Regional Tourism – Taken Beijing–Shanghai High-Speed Rail of China as Example

This paper compares volumes, flows, and spatial patterns of traffic before and after the opening of the high-speed rail (HSR) link between Beijing and Shanghai. Evidence emerges of a significant change in the shape of isochrones within the region. Under the influence, the temporal and spatial distance between the source region and tourist destination is greatly reduced. Equally, multiple contact modes are more apparent and the overall structure of tourism flow network is closer after the opening of the HSR service. As can be seen from the above, the HSR has a significant impact on regional tourism traffic accessibility and then has a significant on the temporal and spatial distribution of regional tourism resource. The tourism flow will respond positively to the “space compression” effect.     

How can tourism use land more efficiently? A model-based approach to land-use efficiency for tourist destinations

In densely populated areas of Central Europe, many successful tourist destinations face the problem of approaching the limit of their growth potential. Solutions to this problem commonly refer to the idea of “smart growth” based on increasing efficiency in the use of nature for economic production (eco-efficiency). In this paper, we show how eco-efficiency can be used to evaluate tourism strategies on local scale based on an augmented regional input–output model that delivers information on economic performance, land use (as indicator for environmental pressure), and employment. We illustrate this approach via a case study of the tourist destination of Davos in the Swiss Alps. The model predicts that the key drivers of land-use efficiency are: (i) the economic impact of tourists, (ii) occupancy intensity, and (iii) the density of beds per area covered by residential buildings and hotels. The economic impact of increasing bed capacity is highly dependent on the tourist category triggering the development; this can also be used to attract new tourist categories at the expense of tourist categories that make inefficient use of available land. As the impact of an increased density of beds per ground floor area is as high as an improved occupancy rate over during the year, spatial planning, building design, and facility management also play a major role in improving land efficiency in the tourism sector.     

Archaeological tourism: A creative approach

This theoretical paper conceptualises the role of tourism providers in facilitating creative tourism experiences by focusing on their ingenious enterprise, which we argue can help capture the tourism potential of intangible archaeological heritage. Intangible archaeological heritage can be understood as knowledge emanating from actors’ own interpretation of archaeological sites that have either become physically inaccessible or been destroyed since initial exploration. Archaeological heritage is often equated with tangibility, which results in an omission of experiences that intangible archaeological heritage can offer. By proposing a rethinking of the archaeological tourism framework, we argue that the touristic value of both tangible and intangible archaeological heritage is better realised and can be further utilised to study the easily overlooked aspect of providers’ ingenuity.     

Chinese National Scenic Areas’ Tourism Efficiency: Multi-scale Fluctuation,Prediction and Optimization

The tourism efficiency in scenic areas is influenced by multi-factor joined effects, presenting multi-scale fluctuation characteristics in temporal terms and regional differences in spatial terms. This paper, by adopting the data envelopment analysis (DEA) method and Bootstrap-DEA model, calculates their tourism and decomposition efficiency. Then, based on methods of empirical mode decomposition, wavelet decomposition and Morlet wavelet multi-scale decomposition, the paper reveals the fluctuation characteristics, process and its spatial differentiation of tourism efficiency change in scenic areas from the perspective of the time–frequency domain, quantitatively investigating the important factors influencing its dynamic change, so as to summarize and refine the dynamic evolution models of tourism efficiency. Lastly, the mean generating function method is applied to conduct statistical prediction for scenic areas’ tourism efficiency in different regions, combined with the principal component method for regional integration, which provides an effective way for studying temporal–spatial differentiation characteristics of tourism efficiency change in scenic areas.