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

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.