Determinants of International Tourism Flows to the Republic of Croatia: An SUR Analysis of Panel Data from 1993-2015

Q3 Social Sciences
J. Deichman, Li Danyang
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引用次数: 1

Abstract

Abstract: This paper examines origin-effects of tourist flows into Croatia from 1993-2015, a time period that features several important events: the fragmentation of Yugoslavia, the European recession, and Croatia’s accession to the European Union. Applying the seemingly unrelated regression (SUR) approach to a large panel data set with the number of annual arrivals from each origin country as the dependent variable, we identify and analyze the determinants of tourism flows to Croatia. A series of augmented gravity model specifications reveals that inflows can be explained by geographic proximity, GDP per capita, origin country population, and openness. The role of the real exchange rate variable is inconclusive, and in fact problematic for years 1993-95 when hyperinflation plagued the region in the wake of Yugoslavia’s dissolution. The results confirm the validity of the models, both for the subset of origin countries and for the subset of non-origin countries for which otherwise complete data are available. Given the importance of tourism to Croatia’s national accounts position, implications for tourism policy are discussed, as are suggestions for future research. Keywords: Tourism Origin-Effects, Gravity Model, Croatia JEL Classification: C33, O52, Z3
克罗地亚共和国国际旅游流量的决定因素:1993-2015年面板数据的SUR分析
摘要:本文研究了1993-2015年克罗地亚旅游客流的起源效应,这一时期发生了几个重要事件:南斯拉夫分裂、欧洲经济衰退和克罗地亚加入欧盟。将看似不相关的回归(SUR)方法应用于以每个原籍国的年度入境人数为因变量的大型面板数据集,我们确定并分析了克罗地亚旅游流量的决定因素。一系列增强引力模型规范表明,资本流入可以用地理邻近性、人均GDP、原产国人口和开放度来解释。实际汇率变量的作用是不确定的,在1993- 1995年南斯拉夫解体后该区域出现恶性通货膨胀时,实际汇率的作用实际上是有问题的。结果证实了模型的有效性,既适用于原产国子集,也适用于非原产国子集,否则这些子集的数据是完整的。鉴于旅游业对克罗地亚国民核算地位的重要性,本文讨论了旅游业政策的影响,并对今后的研究提出了建议。关键词:旅游本源效应,重力模型,克罗地亚JEL分类:C33, O52, Z3
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nigerian Journal of Economic and Social Studies
Nigerian Journal of Economic and Social Studies Social Sciences-Social Sciences (miscellaneous)
CiteScore
0.50
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0.00%
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