罗马尼亚文化旅游流量估算:基于市级现有数据的实证方法

IF 0.7 Q3 ECONOMICS Studies in Business and Economics Pub Date : 2023-08-01 DOI:10.2478/sbe-2023-0029
Cristi Frenţ, Alina Niculescu
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引用次数: 0

摘要

摘要本文的目的是提出两种基于现有城市数据估计/近似罗马尼亚文化旅游规模的经验方法。这些方法被称为“潜在供应方法”(基于以人造旅游资源为主导资源的市政当局)和“需求方法”(基于在博物馆登记游客的市政当局)。住宿场所的游客(抵达人数)被视为基准统计指标。游客数量和博物馆访客数量之间的Pearson相关性分析也包括在内,并且这种相关性为正且具有统计意义的城市被分为八个集群。结果显示,旅游业高度集中在既是文化目的地又是旅游目的地的大城市,以及67个城市(284个城市中)的旅游和文化数据之间的相关性。然而,由于缺乏关于旅游目的和/或旅游期间进行的活动的具体需求方面调查,文化旅游的确切规模难以量化,在这些目的/活动范围内,文化旅游需要单独确定。但是,在这种情况下,本文中提出的两种方法只能概述该国文化旅游的最大规模。
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Estimating Cultural Tourism Flows in Romania: Empirical Approaches Based on Existing Data at Municipality Level
Abstract The purpose of this paper is to present two empirical approaches of estimating/approximating the size of cultural tourism in Romania based on existing data at municipality level. These approaches have been labelled ‘the potential supply approach’ (based on municipalities with man-made tourism resources as dominant resource) and ‘the demand approach’ (based on municipalities that register visitors in museums). Number of tourists (arrivals) in accommodation establishments was considered the benchmark statistical indicator. The analysis of Pearson correlation between number of tourists and number of visitors in museums was also included, and municipalities where this correlation is positive and statistically significant were grouped in eight clusters. The results revealed a strong concentration of tourism in big cities that are both cultural and tourism destinations as well as a correlation between tourism and culture data for 67 municipalities (out of 284). However, the precise size of cultural tourism is difficult to be quantified in the lack of any specific demand-side survey regarding travel purposes and/or activities undertaken during tourism trips and within such purposes/activities, cultural tourism to be separately identified. But, in these circumstances, the two approaches presented in this paper can outline only a maximum size of cultural tourism in the country.
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来源期刊
CiteScore
1.30
自引率
16.70%
发文量
20
审稿时长
30 weeks
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