旅游周期指标的构建:旅游市场动态的信号工具

IF 0.6 Q4 STATISTICS & PROBABILITY
Ann-Ni Soh, Chin-Hong Puah, M. Arip
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引用次数: 4

摘要

综合领先指标方法在一般商业和房地产预测中得到了广泛的推广,但在旅游业框架中却很少。通过利用国家经济研究局(NBER)的方法构建马尔代夫的旅游周期指标(TCI),可以确定国际游客抵达马尔代夫的重要信号属性。这项研究跨越了大约20年的数据(2000-2017)。利用Hodrick-Prescott(HP)滤波器对TCI和TA的两种对数形式进行季节性调整。使用Bry-Boschan(BB)定年算法检测转折点。本研究探讨了TCI获取政策规划、风险监测和社区发展所需信息的可能性。实证研究结果强调,TCI的预测能力对于减轻危机负担至关重要,马尔代夫决策者和旅游业参与者应予以考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of tourism cycle indicator: A signalling tool for tourism market dynamics
The composite leading indicators approach has been popularised in general business and property forecasting extensively, but only rarely in a tourism framework. By utilising the National Bureau of Economic Research (NBER) approach in the construction of a tourism cycle indicator (TCI) for Maldives, a significant signalling attribute regarding international tourists arrivals (TA) to Maldives can be determined. This study spanned approximately two decades of data (2000-2017). Both logarithm forms of TCI and TA with seasonal adjustment are detrended by Hodrick-Prescott (HP) filter. Turning points are detected using Bry-Boschan (BB) dating algorithm. This study explored the possibility of a TCI to capture the information needed for policy planning, risk monitoring and community development. Empirical findings highlighted that the forecasting ability of TCI is vital in reducing crisis burden and should be considered by Maldivians policymakers and tourism industry players.
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来源期刊
CiteScore
1.40
自引率
14.30%
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