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Abstract
Tourism plays an important role in the economic development of several regions over the world. Imbalances in the activity levels throughout the year will condition the positive effects generated by the sector given that work stability and economic flows are dependent upon it. The measurement of seasonality based on indicators that are built using individual variables offers only a partial picture of the situation, or even contradictory results subject to which data were taken as a reference. This paper proposes a new system to measure seasonality. It is based on a DP2 synthetic indicator that includes both, supply and demand variables and is able to determine comprehensively how intense seasonality is. This method, which is replicable in any region, has been applied to the regions of Spain. It has been determined that the areas with a better annual stability are Madrid and the Canary Islands. This indicator also allows us to analyze the amount of information provided by each variable when constructing the indicator, as well as identifying the most relevant variables when explaining regional disparities.
摘要：
旅游业在世界诸多地区经济发展中起着重要作用。由于季节性决定了旅游部门工作的稳定性和经济流量, 全年旅游活动的不均衡将影响该部门的积极影响。如果用个别变量构建指标来测量旅游季节性, 就很难获得季节性状况的全面了解。由于测量参考的数据不同, 甚至得到相互矛盾的结果。本文提出了一种测量季节性的新系统。它基于佩纳距离法（DP2）综合指标, 该指标结合了旅游活动的供需变量, 能够全面地确定旅游季节性有多强烈。这种方法在任何地区都可以复制, 并已应用于西班牙各地区。该方法已经确定, 西班牙每年旅游活动较稳定的地区是马德里和加那利群岛。该指标还允许我们在构建指标时分析每个变量提供的信息量, 以及在解释区域差异时确定最相关的变量。
