COMPARATIVE ECONOMETRIC ANALYSIS ON THE EVOLUTION OF TOURISM TRAFFIC IN PRAHOVA AND BRASOV COUNTIES
The paper analyzes the comparative development of tourist traffic in the counties of Prahova and Brasov, the main indicators for assessing values, numbers of tourist arrivals and overnights number, being studied as econometric time series. The economic crisis triggered worldwide began before 2009 also in travel industry, has important effects at national level in Romania territorial. Studied in this context is the tendency of tourist movement in Prahova and Brasov counties, and recording developments oscillatory growing up in 2008 and a significant decrease in the year 2009. Conclusions of the analyzed phenomena show that the results are the effects of the emergence of financial bottlenecks that led to a significant drop in income population and therefore in important reduction of the tourist arrivals and of the overnight stays in these counties. However, it is expected a revival of tourist traffic in Prahova and Brasov counties, after economic recovery of Romania.
The tourism’s measurement in the view of lasting development
The process of globalization and of lasting tourism’s development aims at the touristic activities placed under the influence of ecology and of reasonable use of resources.To measure the lasting tourism’s development represents a necessity in the conditions of a deep interaction among the natural resources protection, the economic development and the compliance with the needs of the clients-customers. The need to coordinate the efforts, both on a regional and at a national scale, for the achievement of great projects, is related with the measurement process concerning the activities involved in tourism. The tourism’s measurement, implicitly of the one belonging to the social-economic process, in consideration of the lasting development, supposes the approach and application of principles and methods which constitute the formation and using base of an almost complete set of indicators. The system of indicators that must converge in an almost complete set has been analyzed by the OCDE forum which considers that their efficiency is higher if the information source is wider and diversified.
Quantitative methods for decision makers
1. Introduction 2. Tools of the trade 3. Management information and diagrams 4. Management statistics 5. Probability and probability distributions 6. Decision making under uncertainty 7. Market research and statistical inference 8. Quality control and quality management 9. Forecasting 1: Moving averages and time series 10. Forecasting 2: Regression 11. Linear programming 12. Stock control 13. Project management 14. Simulation 15. Financial decision-making Conclusion Appendices: A. Binomial distribution B. Areas in the tail of the Normal distribution C. Areas in the tail of the t distribution D. Areas in the tail of the x2 distribution E. Areas in the tail of the F distribution F. Solutions to chapter activities