espEconomy: strategy and practiceEconomy: strategy and practice1997-99672663-550XИнститут экономики10.51176/1997-9967-2023-4-22-39esp-1177Research ArticleДЕМОГРАФИЯ, ЧЕЛОВЕЧЕСКИЕ РЕСУРСЫ И РЫНОК ТРУДАDEMOGRAPHY, HUMAN RESOURCES AND THE LABOR MARKETОценка экономической эффективности академической мобильности на трудоустройство выпускниковAssessment of the Economic Effectiveness of Academic Mobility on Graduate Employmenthttps://orcid.org/0000-0002-7438-919XЕсимоваШ. А.YessimovaSh. A.

д.э.н., член правления, проректор по стратегическому развитию и интернационализации

ул. Сулейменова 7, 080000, Тараз

Sholpan A. Yessimova – Doc. Sc. (Econ.), Member of the Board, Vice-Rector for Strategic Development and Internationalization

7 Suleimenov Str., 080000, Taraz

sh.yessimova@dulaty.kzhttps://orcid.org/0000-0001-9407-3718ХасеноваЛ. А.KhasenovaL. A.

PhD докторант

пр. Тауке-хана, 5, 160000, Шымкент

Laura A. Khasenova – PhD candidate

5 Tauke Khan Ave., 160000, Shymkent

laura_ok_uko@mail.ruhttps://orcid.org/0009-0001-6532-4992МирзаевШ. Ш.MirzaevSh. S.

к.ю.н., заместитель директора по духовно-просветительской работе и работе с молодёжью, филиал Московского государственного университета имени М.В. Ломоносова

ул. Амира Тимура, 22, 100060, Ташкент

Shuhrat S. Mirzaev – Cand. Sc. (Legal), Deputy Director for spiritual and educational work and work with youth

22 Amir Timur Str., 100060, Tashkent

doctor_shuhrat@mail.ruТаразский региональный университет им. М.Х. ДулатиКазахстанTaraz Regional University named after M.Kh. DulatyKazakhstanЮжно-Казахстанский университет им. М. АуэзоваКазахстанSouth Kazakhstan University named after M. AuezovKazakhstanМосковский государственный университет имени М. В. ЛомоносоваУзбекистанBranch of Moscow State University named after M.V. LomonosovUzbekistan2023180120241842239Copyright © Есимова Ш.А., Хасенова Л.А., Мирзаев Ш.Ш., 20242024Есимова Ш.А., Хасенова Л.А., Мирзаев Ш.Ш.Yessimova S.A., Khasenova L.A., Mirzaev S.S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://esp.ieconom.kz/jour/article/view/1177

Целью данного исследования является проведение комплексного анализа академической мобильности и ее экономического влияния на трудоустройство выпускников университетов. Материалы и методы: в работе были рассчитаны коэффициенты корреляции, применен статистический тест хи-квадрат, проверяющий наличие взаимосвязи между качественными переменными. Для выявления причинно-следственных связей была применена логистическая регрессия. Также были проведены полевые исследования, включающие экспертный опрос 47 студентов (72,3% бакалавров, 23,4% магистрантов и 4,3% - докторантов) ЮКУ, которые проходили академическую мобильность в зарубежных странах мира (Латвия, Литва, Польша, Испания, Румыния, Турция, Германия, Чехия, Франция. Италия, Словения, Словакия, Великобритания, Австрия, Венгрия и др.). Результаты исследования: В работе применяются количественные и качественные методы анализа, в том проведенный опрос среди студентов позволил выявить многие преимущества академической мобильности. Другой вспомогательный метод, такой как SWOT-анализ академической мобильности в казахстанских университетах, был использован для выявления слабых и сильных сторон с учетом основных предпочтений студентов для повышения их компетенций и навыков, что в будущем позволит им найти место трудоустройства и повлиять на их конкурентоспособность. Обсуждение и заключение: Расчет используемых коэффициентов корреляции и теста хи-квадрат выявил наличие взаимосвязи между зависимой переменной и другими вопросами анкеты, которые были приведены в работе, что позволило обнаружить парные взаимосвязи и выстроить многомерную логистическую модель. Полученная модель позволяет сделать вывод, что она может применяться при прогнозировании академической мобильности во взаимосвязи с трудоустройством.

The study was aimed at conducting a comprehensive analysis of academic mobility and its economic impact on the employment of university graduates. Materials and methods: correlation coefficients were calculated in the work, and the chi-square statistical test was used to check the presence of a relationship between qualitative variables. Logistic regression has been exploited to identify the cause-and-effect relationships. Field research was also taken into account by including an expert survey of 47 students (72.3% bachelors, 23.4% masters and 4.3% doctoral students) of SCU, who underwent academic mobility in foreign countries (Latvia, Lithuania, Poland, Spain, Romania, Turkey, Germany, Czech Republic, France, Italy, Slovenia, Slovakia, Great Britain, Austria, Hungary, etc.). Results of the study: The research applied quanti-tative and qualitative methods of analysis, and a survey among students made it possible to identify many advantages of academic mobility. SWOT analysis of academic mobility in Kazakhstani universities was used to identify weaknesses, strengths with the primary preferences of students to improve their competencies and skills, which in the future will allow them to find a placement and influence their competitiveness. Discussion and conclusion: The calculation of the correlation coefficients used and the chi-square test revealed that the presence of a relationship between the dependent variable and other questions of the questionnaire that were given in the work assisted to detect pairwise relationships and build a multivariate logistic model. The resulting model allows us to summarise that it can be used in predicting academic mobility in respect with employment opportunities.

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The authors declare that there are no conflicts of interest present.