Patterns of political instability and inbound tourism to South Korea

I. Choi
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Abstract

Abstract South Korea’s political instability continues to be provoked by North Korea’s military threats. In the decade from 2004 to 2013, 14 incidents of military tension between South (ROK) and North Korea (DPRK) were recorded. The risks were due to nuclear and missile tests, the death of Kim Jong-il, and two brushfire wars. This research investigated the relationship between the political risks and the trends in inbound tourists to South Korea. In particular, incremental historical volatility demand trends are considered in the context of political events using a stochastic method. The results indicate a significant causal relationship between the types of political risk and the different patterns of volatility seen. Since 2003, the brushfire wars included the artillery attack on Yeonpyeong Island and the sinking of the South Korean Navy’s Corvette Warship. These events had the biggest political impact on the volatility of the inbound tourist market, and all risks had a direct effect on the volatile patterns, whereas the iteration of the risk has an indirect effect as a covariant. The interaction between different types of risk and the iteration was not significant in the fixed model, however if the model was weighted the iteration variable according to the Weighted LSR model improved the explained variance by up to 39.2%.
政治不稳定模式与韩国入境旅游
朝鲜的军事威胁继续加剧了韩国的政治不稳定。在2004年至2013年的十年间,韩国与朝鲜之间发生了14起军事紧张事件。这些风险是由于核试验和导弹试验、金正日之死以及两场山火战争。本研究探讨政治风险与韩国入境游客趋势之间的关系。特别是,在政治事件的背景下,使用随机方法考虑增量历史波动需求趋势。结果表明,政治风险的类型和波动性的不同模式之间存在显著的因果关系。自2003年以来,两国之间的山火战争包括炮击延坪岛和击沉韩国海军轻巡洋舰。这些事件对入境旅游市场波动的政治影响最大,所有风险对波动模式有直接影响,而风险的迭代作为协变具有间接影响。在固定模型中,不同类型风险与迭代之间的交互作用不显著,但如果将模型按加权LSR模型对迭代变量进行加权,则可将解释方差提高39.2%。
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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