B028008 - ECONOMIC STATISTICS FOR TOURISM

English

The aim of the course is to provide the basic elements to analyse tourism time series analysis and forecasting, for the main tourism micro and macro economic indicators (referring mainly to the SNA). Furthermore, sustainability and competitiveness indicators for tourism and analysis of big data in tourism will be introduced.

The course deals with: tourism time series analysis; the System of National Accounts (SNA); demand and supply in tourism sector; sustainability and competitiveness indicators for tourism; usefulness and analysis of Big Data in Tourism

A basic knowledge of Statistics and Economics is requested.

The course is delivered through on-line frontal lessons, accompanied with examples, exercises and case studies.

Oral exam: 3 questions. Each question is 1/3 of the final score.

Only for attending students a project work with oral presentation and one question.

Please take note that the September exam wiill be done online using Google Meet. Students who will take the exam will have all information and instructions by the teacher via email.

1) Introduction to economic statistics, definition and sources with particular reference to statistical sources for the analysis of tourism.
2) Basic elements of the System of National Accounts (SNA)
• The main economic indicators of tourism activity in the SNA framework: Gross Value Added, Gross Domestic Product, Total Product, Intermediate Consumption, Final Consumption, Saving, Investment, Import, Export. The Income and expenditure economic account.
• Analysis and discussion of the Tourism Satellite Account (TSA)
• The Balance of Payments and Touristic Balance
3) Tourism time series analysis. Composition model. Identification of trend, cycle, seasonality and irregularity. Analytical determination of the trend-cycle without seasonality (linear, quadratic and exponential models) and with seasonality. Choice of the best statistical model.
4) The demand approach: the demand of tourism services both in the national accounting framework and by analyzing the tourism expenditure of household inside and outside a Country using the Linear Expenditure System (LES).
5) Supply approach: the production of tourism services by tourism enterprises, namely hotels and restaurants, both in accounting framework and as modelled through a Cobb-Douglas production function, and estimation of related parameters, namely returns to scale and direct and substitution elasticities.
6) Sustainability and Competitiveness Indicators for tourism: ETIS indicators (European Tourism Indicators System for sustainable destination management) and competitiveness indicators (Indicators for Measuring Competitiveness in Tourism)
7) Analisys of Big Data for toursim

Kendrick J.W. (2012). The New System of National Accounts. Kluwer Academic Publisher.

Lequiller F. and Blades D. (2014). Understanding National Accounts Second Edition. OECD Publishing (https://www.oecd.org/std/UNA-2014.pdf)

Yaffee R.A. and McGee M. (2000). Introduction to Time Series Analysis and Forecasting. Elsevier. (chapters 1-2) (https://faculty.psau.edu.sa/filedownload/doc-12-pdf-0a64dcdcbcd89c8d0f1540e08ec12091-original.pdf)

European Commission. (2016). The European Tourism Indicator System. Luxembourg: Publications Office of the European Union ( http://uni-sz.bg/truni11/wp-content/uploads/biblioteka/file/TUNI10015968.pdf).

Eurostat. (2017). Tourism statistics: Early adopters of big data? Luxembourg: Publications Office of the European Union (https://ec.europa.eu/eurostat/documents/3888793/8234206/KS-TC-17-004-EN-N.pdf)

Additional teaching materials will be provided by the professor

A continuous attendance to lessons is strongly recommended.