Development trends and factors influencing international tourism in regions (based on Almaty and East Kazakhstan regions)

Dariga M. Khamitova, Aliya Yeleussinova, Dinara Kadyrbekova, B. A. Kaliyaskarova

2025

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.46914/1562-2959-2025-1-1-239-250
Data confidence 70 medium
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Abstract

The purpose of the article is to determine the development trends and factors of influence of international tourism in the regions, on the basis of correlation and regression analysis, the relationship of dependent variables with other variables is determined, the return on investment in fixed assets is calculated and conclusions are drawn based on the results of correlation and regression analysis. The study analyzed data from UN Tourism, the world leader in the field of tourism, as well as research works by world scientists interested in the rapid development of the tourism industry. The identification of development trends and factors of influence of international tourism in the regions through the multiplicative and synergetic effect of tourism, the achievement of economic development of the country, as well as the effective use of internal resources reveal the relevance of the article. In analyzing the article, the following research methods were used to achieve the results of correlation and regression analysis, to build a dynamic model, a correlation matrix was applied for indicators for the Almaty and East Kazakhstan regions, using correlation and regression analysis, factors with a close statistically significant relationship with dependent variables were identified. Summing up, the authors came to the following conclusion: in the Almaty and East Kazakhstan regions, we achieved a statistically significant and reliable relationship between the performance characteristic and factor characteristics at the same time, the obtained regression equation as a whole and regression coefficients at the appropriate levels of significance. Based on the return on investment and analysis of the obtained parameters of the equation of multilinear regression, the authors believe that an increase in the number of rooms in tourist accommodation at the growth of GRP per capita by 1 thousand tenge and an increase in the number of rooms in accommodation facilities by 1 unit will lead to an increase in the number of services provided related to tourist accommodation facilities.