欧洲经济联盟国家旅游市场表现排名:PROMETHEE - GAIA方法的结果

Danijela Durkaliċ, Srđan Furtula, K. Borisavljević
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引用次数: 11

摘要

本文利用欧洲货币联盟(EMU) 19个国家的数据,根据给定的参数,研究了2012-2017年期间旅游业绩效的性质和国家排名。由于旅游不能作为一门孤立的学科来分析,因此有必要采用多维度和多标准的方法来研究和研究这一领域。因此,本文采用多标准PROMETHEE - GAIA决策模型实现了一种简单的方法来衡量欧洲经济联盟国家的旅游绩效。本文将通过对旅游业发展和评价的8个重要参数(外国游客数量、国内游客数量、酒店住宿数量、生活成本、空气污染、人口密度、铁路长度和机场数量)的分析,对上述国家进行排名,并对单个参数进行更深入的分析。在整个观察和审查旅游业绩效的过程中,论文的结果将概述绩效评估以及政策建议和结论,以供进一步考虑和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ranking tourism market performance in EMU countries: Results of PROMETHEE - GAIA approach
Using data from 19 countries of the European Monetary Union (EMU), this paper examines the nature of tourism performance and the ranking of countries according to given parameters in tourism in the period 2012-2017. As tourism cannot be analyzed as an isolated scientific discipline, it is necessary to use a multidimensional and multicriteria approach when studying and researching this field. For this reason, this paper implements a simple methodology for measuring tourism performance in EMU countries using the multicriteria PROMETHEE – GAIA decision model. The paper will, through the analysis of 8 parameters important for the development and evaluation of the tourism industries (number of foreign tourists, number of domestic tourists, quantity of hotel accommodation, cost of living, air pollution, population density, length of railway and number of airports), rank the mentioned countries and provide a deeper analysis of individual parameters. For the entire period of observing and reviewing the performance of the tourism industry, the results of the paper will outline the performance evaluation as well as policy recommendations and conclusions for further consideration and analysis.
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