衡量旅游的货币性和非货币性季节因素的模式、幅度和时间差异——以阿鲁巴为例

Jorge Ridderstaat, P. Nijkamp
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引用次数: 1

摘要

季节性在旅游业中是一个频繁而重要的现象,它同时影响着旅游业的客流量和资金流。这些货币和非货币旅游指标的季节性特征可以呈现出不同的路径。这两类旅游发展指标的季节性模式之间缺乏同步性可能会产生次优情况,在制定和执行反季节性政策时选择不足。本研究的目的是衡量阿鲁巴旅游发展的货币和非货币指标的季节性因素之间的格局、幅度和时间差异。该研究填补了文献中关于这两种季节性因素共同运动动态的空白,同时纳入了这种关系的三个测量维度。此外,该研究还在三个测量维度中的两个维度引入了新的计算技术。该方法包括使用Census X12-ARIMA对货币和非货币变量的时间序列进行分解,随后计算Pearson相关系数、中位数相对差异和中位数时间差异。结果显示,在应用的时间框架、周期性、变量和所涉及的市场方面,季节性因素的模式、幅度和时机存在重要的季度差异。研究结果表明,需要同步策略和差异化的反季节政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Pattern, Amplitude and Timing Differences between Monetary and Non-Monetary Seasonal Factors of Tourism - The Case of Aruba
Seasonality is a frequent and important occurrence in the tourism industry, with simultaneous effects on both the volume and financial flows of tourism. The seasonal characteristics of these monetary and non-monetary tourism indicators can show diverging paths. Lack of synchronization between the seasonal patterns of these two types of indicators of tourism development can produce suboptimal situations, with less than best choices when formulating and implementing anti-seasonal policies. The purpose of this study is to measure pattern, amplitude and timing differences between the seasonal factors of monetary and non-monetary indicators of tourism development in Aruba. The study contributes to the gap in the literature on the dynamics in the co-movement of these two types of seasonal factors, while concurrently incorporating three measurement dimensions of this relation. Moreover, the study introduces novel calculation techniques in two of the three measurement dim ensions. The methodology involves decomposing time series on both monetary and non-monetary variables using Census X12-ARIMA, with subsequent calculation of Pearson's correlation coefficients, median relative differences, and median timing differentials. The results show important quarterly differences in pattern, amplitude and timing of the seasonal factors, in terms of the applied timeframe, periodicity, variables and markets involved. The findings implicate the need for synchronizing strategies and a differentiated anti-seasonal policy.
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