Тенденции и проблемы развития въездного туризма в Cанкт-Петербурге
The article analyzes the factors of demand for inbound tourism. The information about tourist arrivals is taken as a measure of demand. The article is focused on the European countries and the CIS for 2013. The study is based mainly on the information of World Bank and UNESCO. For regression analysis the authors use the method of least squares. According to the results, the average cost of tourism products has a significant negative impact on the level of inbound tourism in the country in general. Alternatively, the level of GDP per capita, the number of objects of cultural and historical heritage and the availability of opportunities for different kinds of tourism have a significant positive influence on the inbound tourism industry. The authors have revealed that tourists have different preferences for countries with such capabilities and for the states developing mainly one type of tourism: the numberof tourist arrivals for the first group of countries is more price elastic in tourism products than for the second. The factor that characterizes the potential threat of terrorism has statistically significant impact on the number of tourist arrivals neither for the whole sample nor for groups of countries under consideration. Further development of research may consist in the analysis of the relevant data for countries in other regions, increasing the volume of sample and using the methods for more countries, as well as the applying panel data analysis techniques. This will allow to take into account dynamics of the indicators and can help to identify additional determinants of tourist demand. The results will be useful for planning the inbound tourism development in the countries.
The paper gives an overview of current situation in tourism industry in Russia. This research studies some economic effects of tourism in Russia in comparison with other countries and assesses the multiplicative effect of tourism on the country economy. The research is based on data of Rosstat and WTTC. The analysis can provide useful information to help maximize the economic impact of tourism on the economy of Russia and give a forecast of tourism development in the country.
In connection with reforming of social security in different economic levels, it’s interest to analysis data of tourism activity for current and perspective periods. This ways are connecting with the use of special information systems. The problem of engaging in the management of tourism activities for different levels have recently gained greater urgency. It's graduate the new level of development relations in budget sphere. Those analysis structure of budget cost for tourism is necessary for advance in connect with modern financial reforming.
The paper contributes to empirical evidence of tourism-led growth (TLG) hypothesis. The research is based on a balanced panel data for 116 countries from the World Bank, 1995–2017. International tourism receipts, its share in GDP, and annual number of international tourist arrivals per capita are used as indicators of countries’ specialization on tourism. Granger (non) causality test as long as autoregressive distributed lags models with heterogeneous parameters and control for cross-sectional dependence are in line with the TLG-hypothesis.