Analysis and Trend Determination of the Evolution of Tourist Accommodation Establishments (Adjusted Data Based Seasonally) in the European Union (28) with Analytical Methods

Author:Rodica Pripoaie
Pages:553-558
SUMMARY

This work presents the comparative analysis and trend determination of the evolution tourist accommodation establishments in the European Union (28), adjusted data based seasonally, in the period May 2014 - December 2014 used the Analytical Methods. The principal causes of the evolution tourist accommodation establishments were: the general economic evolution of industries and GDP per capita, the ... (see full summary)

 
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Performance and Risks in the European Economy
553
Analysis and Trend Determination of the Evolution of Tourist
Accommodation Establishments (Adjusted Data Based Seasonally) in the
European Union (28) with Analytical Methods
Rodica Pripoaie1
Abstract: This work presents the comparative analysis and trend determination of the evolution tourist
accommodation establishments in the European Union (28), adjusted data based seasonally, in the period
May 20 14 - December 2014 used the Analytical Methods. The principal causes of t he evolution tourist
accommodation establishments were: the general economic evolution of industries and GDP per capita, the
relatively low revenue or low development of the infrastructure. Trend determination of the evolution
tourist accommodation establishments in the European Union (28) with analytical methods requires least
squares method. On the base the results of the absolute deviations between empirical and theoretical values
for the lin ear, curvilinear and modified exponential regression, will choose the b est trend equation for the
smallest variation. The best trend model for evolution tourist accommodation establishments in EU (28) is
modelled using linear regression equation.
Keywords: accommodation establishments; least squares method; trend
1. Introduction
A Tourism Satellite Account (TSA) is an economic measure of the importance of tourism. This TSA
integrates in a single format data about the supply and use of tourism-related goods and services, and it
permits a comparison of tourism with other industries since the concepts and methods used are based
on the System of National Accounts.
The tourist accommodation establishments - monthly data adjusted series is a collection of monthly,
quarterly and annual series.
On the base of the evolution of tourist accommodation establishments in the European Union (28)
between May 2014 and December 2014, we will adjust the series by least squares method.
We will calculate the linear, curvilinear and exponential modified regression, with the method of least
squares for determining the trend of evolution tourist accommodation establishments in the European
Union (28).
1 Associate Professor, PhD, ―Danubius‖ University of Galati, Romania, Address: 3 Galati Boulevard, 800654 Galati,
Romania, Tel.: +40.372.361.102, fax: +40.372.361.290, Corresponding author: rodicapripoaie@yahoo.com.

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