Lesik I., PhD in Economics, Associate Professor, Associate Professor of Economic Theory and Social Sciences Department, Mykolayiv National Agrarian University, Mykolayiv, Ukraine

ORCID ID: 0000-0003-1225-7594
e-mail: lesik@mnau.edu.ua

Lesik M., Student of Management Faculty, Mykolayiv National Agrarian University, Mykolayiv, Ukraine

ORCID ID: 0000-0003-4450-0034
e-mail: maks.lesik.2002@gmail.com

Infrastructure Support of the Ecotourism Sphere

Introduction. The paper considers the prerequisites for the formation and development of ecotourism, its infrastructure in Ukraine. The object of this study is to study the trends in the formation and development of infrastructure for ecotourism. The authors consider the current trends in the development of the ecotourism sector and its infrastructure, as one of the fundamental dimensions of sustainable development.

Purpose. In the review of literature sources the definition of “ecotourism” and “infrastructure” is analyzed, the discussion questions raised by domestic and foreign scientists on the research topic, the experience of solving problematic issues are studied. A critical assessment of the intensification of ecotourism development is given in view of the existing contradictions in the definition of positive and negative factors. Among the research methods the authors used abstract-logical to study the genesis of basic concepts, knowledge of their essence and features; bibliographic for the study and development of scientific sources on the infrastructure of ecotourism, analysis and synthesis to identify cause-and-effect relationships and patterns, correlation for the study of infrastructure of ecotourism and determine the effectiveness.

Results. The results of the study, calculated by regression analysis, show that the coefficient of determination R-square indicates a 92% relationship between the studied indicators. The coefficient of variable X1 (0.944) indicates the impact of the costs of tourism entities on the services of third parties used in the production of tourism products within the obtained model on the income from the provision of tourism services with a weight of 0.944. With the help of graphical analysis the final formula of linear regression, R-square, trend equation and efficiency of the studied regions of the country are considered. The growing dynamics of 2017-2019 in the number of tourism entities was noted.

Conclusions. The practical significance of this study is that the results of this work can be used as a reference material for students of this topic, including businesses, scientists, educators and other stakeholders.

Keywords: ecotourism; infrastructure; regression analysis; efficiency; conceptual approach.

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