Видання зареєстровані авторами шляхом самоархівування

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    The impact of migration on the competitiveness of the region and industry development
    (E3S Web of Conferences, 2021) Котенко, Станіслав Ігорович; Котенко, Станислав Игоревич; Kotenko, Stanislav Ihorovych; Швіндіна, Ганна Олександрівна; Швиндина, Анна Александровна; Shvindina, Hanna Oleksandrivna; Heiets, I.
    The impact of migration on Ukraine is multifaceted. It increases the threat of depopulation, leads to losing a part of the labour and intellectual potential, and thus, may become a factor inhibiting economic development. Today, there is a shortage of workers in almost all activities, especially in industry and construction. At the same time, according to scientists, in the absence of migration, unemployment in Ukraine would be 36.7% higher. Due to foreign earnings, the quality of life in migrant households is improving. Increasing consumer demand can contribute to the economic development of both individual regions and the country as a whole. This article aims to analyse the impact of migration processes on the regional competitiveness. Social, economic, and demographic factors should be taken into account when forming a comprehensive indicator of regional competitiveness. There is a need to evaluate the weight of individual factors and the mechanism of their impact on a comprehensive indicator of the regional competitiveness. Considering the findings of previous studies, the important role of industrial enterprises in assessing the level of regions' competitiveness is emphasized; it is necessary to study in more detail the relationship of migration processes and industrial potential of the region/country.
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    Cross-Country Analysis of Competitiveness Towards Innovation Potential Assessment for Industrials
    (The Institute of Eastern Europe and Central Asia, 2022) Швіндіна, Ганна Олександрівна; Швиндина, Анна Александровна; Shvindina, Hanna Oleksandrivna; Таранюк, Леонід Миколайович; Таранюк, Леонид Николаевич; Taraniuk, Leonid Mykolaiovych; Котенко, Станіслав Ігорович; Котенко, Станислав Игоревич; Kotenko, Stanislav Ihorovych; Awujola, A.; Таранюк, Каріна Вікторівна; Таранюк, Карина Викторовна; Taraniuk, Karina Viktorivna; Hongzhou, Q.
    The global competitiveness report reveals cross-regional and cross-country disparities, and the innovation development of industrials shows how difficult it is to build and support competitiveness at a high level and increase innovation potential. The bibliometric analysis proves the diversity of the studies in the field and the increasing trend in paper production. The lack of understanding of the link between different levels of competitiveness and the need to monitor and forecast innovative development necessitated the cross-country benchmarking of industrials' innovation potential. The offered methodology is a seven-stage algorithm of innovation potential assessment, based on an existing GCI methodology modified to reveal innovation development differences, and tendencies for particular industries. The ranking was performed for major industrial countries to reveal the gaps in innovative activities and develop catch-up strategies.
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    Healthcare financing and budgeting: the regional policy priorities in response to COVID-19
    (Banking University, 2021) Кузьменко, Ольга Віталіївна; Кузьменко, Ольга Витальевна; Kuzmenko, Olha Vitaliivna; Каща, Марія Олексіївна; Каща, Мария Алексеевна; Kashcha, Mariia Oleksiivna; Швіндіна, Ганна Олександрівна; Швиндина, Анна Александровна; Shvindina, Hanna Oleksandrivna; Hakimova, Y.; Tagiyeva, N.; Shyian, O.
    This paper summarizes the arguments and counter-arguments in the scholarly debates on transformations in healthcare budgeting that should consider the differentiated regional vulnerability in responding to the pandemic. The primary purpose of the study is to identify priorities for local health development programs. The urgency of solving this problem is that the pandemic has revealed the unprecedented unpreparedness of the health care system to respond effectively to challenges; also, hidden problems accumulated during the last decades, which increase the emerging risks. The study is carried out in the following logical sequence: 1) collection, processing, and analysis of statistical data; 2) conducting a cluster analysis for group regions by vulnerability to different classes of diseases; 3) conducting correlation and regression analysis to compare the effects of the COVID-19 pandemic (cases and deaths) and the state of the region; 4) selection of the most significant features of the vulnerability of the region; 5) designing the matrix of the choice of priorities for financing targeted programs in the field of health care. Methodological tools of the study were methods of correlation and regression analysis, cluster analysis, testing for autocorrelation by Darbin — Watson method, sigma limited parameterization to identify the most significant coefficients. The method is tested for 25 regions of Ukraine (including Kyiv), as they can serve as pilots for other regions with similar demographic and economic characteristics. The article presents the results of an empirical analysis of the readiness of regions for critical conditions, such as COVID-19. Identifying such readiness and appropriate distribution of regions by disease classes allows to make decisions in financing and budgeting and improve the quality of health care.
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    Scientific output of the European Journal of Tourism Research: A bibliometric overview and visualization
    (Varna University of Management, 2021) Soliman, M.; Люльов, Олексій Валентинович; Люлев, Алексей Валентинович; Liulov, Oleksii Valentynovych; Швіндіна, Ганна Олександрівна; Швиндина, Анна Александровна; Shvindina, Hanna Oleksandrivna; Figueiredo, R.; Пімоненко, Тетяна Володимирівна; Пимоненко, Татьяна Владимировна; Pimonenko, Tetiana Volodymyrivna
    This paper aims to analyse and visualise the scientific output of the European Journal of Tourism Research (EJTR) by employing a set of bibliometric metrics; including productive and impact measures, co-authorship analysis, cocitation analysis, and co-occurrence analysis. The collected and analysed data involved 304 peer-reviewed articles published in the EJTR during the period from 2008 to 2020 within Scopus database. The results indicated that there is a substantial growing trend and evolution in publications and ranking of the EJTR during the given period. Additionally, a number of leading institutions and countries significantly contributed to the EJTR. Moreover, some top-tier academic journals and authors cited the articles published by the EJTR. Furthermore, the co-occurrence analysis identified seven clusters of research areas among the EJTR published papers over the selected period. Theoretical and practical contributions are presented as well as limitations and further research avenues are outlined.