Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

Using Multivariate Statistics

世界経済・社会統計 = World development indicators

As the title of this book identifies clearly, the authors combine the concepts of competitiveness and sustainability, which some may feel are difficult to reconcile, to provide guidance to enhance the management of tourism destinations. The contents of this book are not novel for it does not contain new insights on the topics that are covered or fresh case studies. However, it is innovative in that it introduces, within the same document, competitiveness and sustainability, embellishes these concepts and uses them to develop a conceptual framework. The explication of this framework is both the objective and content of the book. The focus is upon tourism destinations. The emphasis is on places with multiple attractions and accommodation establishments but the framework has applicability to countries and larger regions; states counties and smaller places; and there is also much of utility to the individual operator. The authors are devotees of Porter whose seminal works underpin their thinking, albeit with modifications to fit tourism.

The Competitive Destination: a Sustainable Tourism Perspective

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

This study investigates the small-sample performance of meta-regression methods for detecting and estimating genuine empirical effects in research literatures tainted by publication selection. Publication selection exists when editors, reviewers or researchers have a preference for statistically significant results. Meta-regression methods are found to be robust against publication selection. Even if a literature is dominated by large and unknown misspecification biases, precision-effect testing and joint precision-effect/meta-significance testing can provide viable strategies for detecting genuine empirical effects. Publication biases are greatly reduced by combining two biased estimates, the estimated meta-regression coefficient on precision (1/Se) and the unadjusted average effect.

Meta-Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection

Having recognized the importance of tourism to economic growth, most international organizations have begun to argue that tourism growth can influence, as well, the economic and sociocultural development of society. However, recently, a new approach that criticizes the relationship between both dimensions has begun to be developed; suggesting that this is not an automatic relationship.In this context, the aim of this study is to determine whether the economic growth experienced in some countries as a result of the expansion of the tourism activity over the last two decades influences an increase in the level of economic development. To that end, a sample of 144 countries has been used, which verifies that this relationship occurs, especially in more developed countries, which calls into question the conception of tourism as a driving force of economic development for the least developed countries, and even in developing countries.

Does Tourism Growth Influence Economic Development

Sustainability has become an important strategic objective for tourism destinations worldwide. All analytical tourism competitiveness models make direct or indirect positive references to sustainability. It is accepted that sustainable tourism can reduce resource costs and help create market differentiation. Nevertheless, it has traditionally been considered that, short term, sustainability measures can reduce profitability and compromise competitiveness. Debates on the progress, implications, and practicality of sustainable tourism remain open. The relationship between economic sustainability, and environmental and sociocultural sustainability, is a central but largely unresearched area for tourism scholars, especially at the macro level. This study explores that difficult but essential area, using the World Economic Forum's empirical evidence from 128 countries, backed by the economic data search tool of the World Travel & Tourism Council. It demonstrates that progress in tourism sustainability does not...

Is sustainable tourism an obstacle to the economic performance of the tourism industry? Evidence from an international empirical study

As a result of globalization, the widespread use of ICTs, and advances in transport infrastructure, tourism destinations have to confront an increasingly competitive setting. When to this one adds the saturation of some of the original markets, the consolidation of traditional coastal destinations, and changes in client preferences and habits, it is not surprising that cultural tourism is being seen as having considerable growth potential over the next few years. In this context, policy-makers have been striving to better understand the cultural tourism market by attempting to segment their clients so as to adapt their offer to the client’s needs and leave the client satisfied with the experience. Unfortunately, most studies on cultural tourism segmentation have been purely psychographic. While this can help to explain attitudes, it fails to identify, access, and quantify segments, and is of little use for implementing specific strategies. The aim of the present work was to study the influence of socioeconomic and demographic variables (age, academic level, expenditure on tourism, inter alia) on the predisposition to choose cultural tourism (the “culturophile tourist”). To this end, we have developed a novel methodological approach and applied it to the results of a survey conducted by Andalusia’s Middle Towns Initiative. The approach uses the latent variables resulting from a latent class analysis to estimate log-linear models.

Attitudes of the cultural tourist: a latent segmentation approach

On the basis of the idea that an understanding of tourists’ perceptions and preferences will enable destination managers to design actions that are coherent with potential visitors’ expectations, this study aims to analyze the destination image perceived by visitors of Andalusia and its provinces over the past decade. A slightly modified Bray–Curtis dissimilarity index is calculated in order to synthesize in a single value the evolution of these destinations’ image during that period. The values obtained enable the identification of those provinces whose image has the strongest influence on the overall destination image of Andalusia. An examination is then made of which of the four major competitiveness components proposed by the Calgary Model explain the better or poorer quality of those destination images. Electre II methods are also applied to obtain a ranking of the provinces according to their level of attractiveness, as perceived by tourists.

Differentiating Competitiveness through Tourism Image Assessment An Application to Andalusia (Spain)

The purpose of this article is to analyze tourism destination competitiveness (TDC) from a demand point of view, evaluating the relevance of different TDC determinants and trying to provide an explanation about how these determinants affect tourists' choices. Specifically, this article proposes a structural equation model for TDC, based on theoretical TDC models. Secondly, the model is tested using a sample of tourists who visited the Spanish region of Andalucia in 2010. After fitting the model, an alternative model is proposed, offering a superior explanation about how destination attributes influence TDC in terms of tourists' duration of the stay, expenditure at the destination level, or the degree to which the destination matches their prior expectations. The main contribution of this article is that the determinants of TDC are evaluated from a demand point of view (tourists' perceptions of the attributes that define the tourism destination value proposition) instead of a supply point of view (destination managers' opinions or experts' judgments). Consequently, some light is shed about how the main factors determining TDC are modulated by tourist perceptions. The relevance of this approach rests on the fact that tourists have the last word when choosing their holiday destination; therefore, it exposes a destination's ability to attract tourists and to provide satisfactory experiences to assure its own competitiveness. Paradoxically, despite the relevance of tourism demand as a factor to explain TDC, very few studies have analyzed TDC from a tourist or demand perspective. Finally, existing theoretical models explaining TDC do not establish causal relationships between its determinants. This article, however, identifies connections between TDC determinants, as well as the influence of these relationships and determinants over TDC.

Marcelino Sánchez-Rivero

Papers

Does Tourism Growth Influence Economic Development

Is sustainable tourism an obstacle to the economic performance of the tourism industry? Evidence from an international empirical study

Attitudes of the cultural tourist: a latent segmentation approach

Differentiating Competitiveness through Tourism Image Assessment An Application to Andalusia (Spain)

Tourism destination competitiveness from a demand point of view: an empirical analysis for Andalusia.