ENTROPY BASED EVALUATION OF THE IMPACT OF EDUCATION ON ECONOMIC DEVELOPMENT
Article Sidebar
Open full text
Issue Vol. 14 No. 3 (2024)
-
THEORETICAL APPROACH FOR DETERMINING AN EMISSIVITY OF SOLID MATERIALS AND ITS COMPARISON WITH EXPERIMENTAL STUDIES ON THE EXAMPLE OF 316L POWDER STEEL
Oleksandr Vasilevskyi, Michael Cullinan, Jared Allison5-8
-
INFORMATION SYSTEM FOR DETECTION OF PARAMETERS OF DANGEROUS INDUSTRIAL FACILITIES BASED ON GEOINFORMATION TECHNOLOGIES
Oleg Barabash, Olha Svynchuk, Olena Bandurka, Oleh Ilin9-14
-
PERIODIC ATEB-FUNCTIONS AND THE VAN DER POL METHOD FOR CONSTRUCTING SOLUTIONS OF TWO-DIMENSIONAL NONLINEAR OSCILLATIONS MODELS OF ELASTIC BODIES
Yaroslav Romanchuk, Mariia Sokil, Leonid Polishchuk15-20
-
UTILIZING GAUSSIAN PROCESS REGRESSION FOR NONLINEAR MAGNETIC SEPARATION PROCESS IDENTIFICATION
Oleksandr Volovetskyi21-28
-
TWO-DIMENSIONAL HYPERCHAOTIC MAP FOR CHAOTIC OSCILLATIONS
Oleh Krulikovskyi, Serhii Haliuk, Ihor Safronov, Valentyn Lesinskyi29-34
-
NEUROBIOLOGICAL PROPERTIES OF THE STRUCTURE OF THE PARALLEL-HIERARCHICAL NETWORK AND ITS USAGE FOR PATTERN RECOGNITION
Leonid Timchenko, Natalia Kokriatskaia, Volodymyr Tverdomed, Anatolii Horban, Oleksandr Sobovyi, Liudmyla Pogrebniak, Nelia Burlaka, Yurii Didenko, Maksym Kozyr, Ainur Kozbakova35-38
-
MODELS OF FALSE AND CORRECT DETECTION OF INFORMATION LEAKAGE SIGNALS FROM MONITOR SCREENS BY A SPECIALIZED TECHNICAL MEANS OF ENEMY INTELLIGENCE
Dmytro Yevgrafov, Yurii Yaremchuk39-42
-
STREAMLINING DIGITAL CORRELATION-INTERFEROMETRIC DIRECTION FINDING WITH SPATIAL ANALYTICAL SIGNAL
Nurzhigit Smailov, Vitaliy Tsyporenko, Akezhan Sabibolda, Valentyn Tsyporenko, Askar Abdykadyrov, Assem Kabdoldina, Zhandos Dosbayev, Zhomart Ualiyev, Rashida Kadyrova43-48
-
MATHEMATICAL MODEL AND STRUCTURE OF A NEURAL NETWORK FOR DETECTION OF CYBER ATTACKS ON INFORMATION AND COMMUNICATION SYSTEMS
Lubov Zahoruiko, Tetiana Martianova, Mohammad Al-Hiari, Lyudmyla Polovenko, Maiia Kovalchuk, Svitlana Merinova, Volodymyr Shakhov, Bakhyt Yeraliyeva49-55
-
A METHOD FOR FORMING A TRUNCATED POSITIONAL CODE SYSTEM FOR TRANSFORMED VIDEO IMAGES
Volodymyr Barannik, Roman Onyshchenko, Gennady Pris, Mykhailo Babenko, Valeriy Barannik, Vitalii Shmakov, Ivan Pantas56-60
-
Z-NUMBERS BASED MODELING OF GROUP DECISION MAKING FOR SUPPLIER SELECTION IN MANUFACTURING SYSTEMS
Kamala Aliyeva61-67
-
OPTIMIZATION OF AN INTELLIGENT CONTROLLED BRIDGELESS POSITIVE LUO CONVERTER FOR LOW-CAPACITY ELECTRIC VEHICLES
Rangaswamy Balamurugan, Ramasamy Nithya68-70
-
MODIFIED VGG16 FOR ACCURATE BRAIN TUMOR DETECTION IN MRI IMAGERY
Katuri Rama Krishna, Mohammad Arbaaz, Surya Naga Chandra Dhanekula, Yagna Mithra Vallabhaneni71-75
-
IOT BASED ECG: HYBRID CNN-BILSTM APPROACH FOR MYOCARDIAL INFARCTION CLASSIFICATION
Abdelmalek Makhir, My Hachem El Yousfi Alaoui, Larbi Bellarbi, Abdelilah Jilbab76-80
-
INTEGRATED HYBRID MODEL FOR LUNG DISEASE DETECTION THROUGH DEEP LEARNING
Budati Jaya Lakshmi Narayana, Gopireddy Krishna Teja Reddy, Sujana Sri Kosaraju, Sirigiri Rajeev Choudhary81-85
-
POLARIZATION-CORRELATION MAPPING OF MICROSCOPIC IMAGES OF BIOLOGICAL TISSUES OF DIFFERENT MORPHOLOGICAL STRUCTURE
Nataliia Kozan, Oleksandr Saleha, Olexander Dubolazov, Yuriy Ushenko, Iryna Soltys, Oleksandr Ushenko, Oleksandr Olar, Victor Paliy, Saule Smailova86-90
-
REAL-TIME DETECTION AND CLASSIFICATION OF FISH IN UNDERWATER ENVIRONMENT USING YOLOV5: A COMPARATIVE STUDY OF DEEP LEARNING ARCHITECTURES
Rizki Multajam, Ahmad Faisal Mohamad Ayob, W.S. Mada Sanjaya, Aceng Sambas, Volodymyr Rusyn, Andrii Samila91-95
-
WEED DETECTION ON CARROTS USING CONVOLUTIONAL NEURAL NETWORK AND INTERNET OF THING BASED SMARTPHONE
Lintang Patria, Aceng Sambas, Ibrahim Mohammed Sulaiman, Mohamed Afendee Mohamed, Volodymyr Rusyn, Andrii Samila96-100
-
ANALYSIS AND STUDY OF ROLLING PARAMETERS OF COILS ON AN INCLINED PLANE
Larysa Gumeniuk, Lesya Fedik, Volodymyr Didukh, Pavlo Humeniuk101-104
-
ANALYSIS OF CONTENT RECOMMENDATION METHODS IN INFORMATION SERVICES
Oleksandr Necheporuk, Svitlana Vashchenko, Nataliia Fedotova, Iryna Baranova, Yaroslava Dehtiarenko105-108
-
DETERMINING STUDENT'S ONLINE ACADEMIC PERFORMANCE USING MACHINE LEARNING TECHNIQUES
Atika Islam, Faisal Bukhari, Muhammad Awais Sattar, Ayesha Kashif109-117
-
ENTROPY BASED EVALUATION OF THE IMPACT OF EDUCATION ON ECONOMIC DEVELOPMENT
Yelyzaveta Mykhailova, Nataliia Savina, Volodymyr Lytvynenko, Stanislav Mykhailov118-122
-
INFORMATION SYSTEM FOR ASSESSING THE LEVEL OF HUMAN CAPITAL MANAGEMENT
Anzhelika Azarova, Larysa Azarova, Iurii Krak, Olga Ruzakova, Veronika Azarova123-128
-
DECENTRALIZED PLATFORM FOR FINANCING CHARITY PROJECTS
Iryna Segeda, Vladyslav Kotsiuba, Oleksii Shushura, Viktoriia Bokovets, Natalia Koval, Aliya Kalizhanova129-134
Archives
-
Vol. 15 No. 3
2025-09-30 24
-
Vol. 15 No. 2
2025-06-27 24
-
Vol. 15 No. 1
2025-03-31 26
-
Vol. 14 No. 4
2024-12-21 25
-
Vol. 14 No. 3
2024-09-30 24
-
Vol. 14 No. 2
2024-06-30 24
-
Vol. 14 No. 1
2024-03-31 23
-
Vol. 13 No. 4
2023-12-20 24
-
Vol. 13 No. 3
2023-09-30 25
-
Vol. 13 No. 2
2023-06-30 14
-
Vol. 13 No. 1
2023-03-31 12
-
Vol. 12 No. 4
2022-12-30 16
-
Vol. 12 No. 3
2022-09-30 15
-
Vol. 12 No. 2
2022-06-30 16
-
Vol. 12 No. 1
2022-03-31 9
-
Vol. 10 No. 4
2020-12-20 16
-
Vol. 10 No. 3
2020-09-30 22
-
Vol. 10 No. 2
2020-06-30 16
-
Vol. 10 No. 1
2020-03-30 19
Main Article Content
DOI
Authors
Abstract
In contemporary economic landscapes, effective managerial decision-making requires serious justifications often facilitated by information technologies. The article proposes the application of the foundational principles from information theory and entropy to determine the correlation between education and economic development. This research employs entropy methodology to explore the correlations and implications of these multifaceted domains, drawing insights from a range of global indices. By analyzing data from indices such as the Human Development Index, we investigate the relationship between average years of education and entropy values, shedding light on the diversity and standardization of human capital systems across nations. Moreover, economic indexes, encapsulating factors such as economic freedom and innovation, provide critical insights into the vibrancy and resilience of national economies. Through the lens of the Global Innovation Index, we explore how countries with higher levels of economic freedom and innovation efficiency exhibit less diversity in economic approaches and innovation strategies, leading to a reduction in entropy values. By examining entropy values in conjunction with innovation indicators, such as research and development expenditure and patent applications, we uncover patterns and trends indicative of the diversity or standardization of innovation strategies across countries. Additionally, cybersecurity emerges as a critical dimension of national security and resilience, with implications for economic well-being and societal trust. Through the National Cybersecurity Index, we assess the level of diversity and uncertainty in cybersecurity landscapes, highlighting the importance of robust cybersecurity measures in safeguarding against emerging threats and reducing entropy values. Ultimately, this research contributes to the discourse on sustainable development and resilience in an interconnected world. By identifying specific challenges and opportunities within education, economy, innovation, and cybersecurity domains, it facilitates informed decision-making and strategic interventions to promote inclusive growth and societal well-being on a global scale.
Keywords:
References
[1] Badley G.: The Crisis in Educational Research: a pragmatic approach. European Educational Research Journal 2(2), 2003 [https://journals.sagepub.com/doi/pdf/10.2304/eerj.2003.2.2.7] (available: 10.04.2024). DOI: https://doi.org/10.2304/eerj.2003.2.2.7
[2] Global Innovation Index. URL: https://www.globalinnovationindex.org/Home (available: 10.04.2024).
[3] Hausser J., Strimmer K.: Entropy inference and the James-Stein estimator, with application to nonlinear gene association networks. Journal of Machine Learning Research 10, 2009, 1469–1484 [https://jmlr.csail.mit.edu/papers/v10/hausser09a.html] (available: 10.04.2024).
[4] Hrishnova O. A.: Formation of human capital in the system of education and training. Doctoral Thesis. Taras Shevchenko National University of Kyiv, Kyiv 2002.
[5] Human Development Index [https://hdr.undp.org/data-center/human-development-index#/indicies/HDI] (available: 10.04.2024).
[6] Huzar U. Ye.: Transformation of labor activity in the transition to the knowledge economy. Ph.D. Thesis. National Academy of Sciences of Ukraine, Lviv 2011.
[7] Kahkonen S.: Why Ukraine’s Education System is Not Sustainable. The World bank [https://www.worldbank.org/en/news/opinion/2018/09/12/why-ukraines-education-system-is-not-sustainable] (available: 10.04.2024).
[8] Keller K. R. I.: How Can Education Policy Improve Income Distribution? An Empirical Analysis of Education Stages and Measures on Income Inequality. The Journal of Developing Areas 43(2), 2010 [https://doi.org/10.1353/jda.0.0052]. DOI: https://doi.org/10.1353/jda.0.0052
[9] Miller G.: Note on the bias on information estimates Information Theory in Psychology. Quastler H. (ed.): Information Theory in Psychology; Problems and Methods II-B. Free Press, Glencoe 1955, 95–100.
[10] National Cybersecurity Index [https://ncsi.ega.ee/ncsi-index/] (available: 10.04.2024).
[11] Paninski L.: Estimation of Entropy and Mutual Information. Neural Computation 15(6), 2003, 1191–1253. DOI: https://doi.org/10.1162/089976603321780272
[12] Purpel D. E., McLaurin W. M., Purpel R.: Reflections on The Moral & Spiritual Crisis in Education. Peter Lang, 2004.
[13] Savina N. B. et al.: Using of Entropy at Estimation Business Risks. Intl Journal of Electronics and Telecommunications 67(2), 2021, 169–174 [https://journals.pan.pl/dlibra/publication/135960/edition/118881/content] (available: 10.04.2024).
[14] Voronenko M. et al.: A Bayesian Network Approach to Measure the Impact of Factors Characterizing the State of Educational Institutions on the Gross Domestic Product. 13th International Conference on Advanced Computer Information Technologies – ACIT), Wrocław, Poland, 2023, 316–320 [https://doi.org/10.1109/ACIT58437.2023.10275641]. DOI: https://doi.org/10.1109/ACIT58437.2023.10275641
Article Details
Abstract views: 251
Yelyzaveta Mykhailova, The National University of Water and Environmental Engineering
Student for the degree of Doctor of Economic Sciences at the National University of Water and Environmental Engineering. She went to the Kyiv National Taras Shevchenko University, where studied modern Turkish and English languages and literatures. After finishing her education, she worked in the Taras Shevchenko National University of Kyiv at The Department of Turkish Studies. In 2013 she defended her PhD thesis "Functional and Grammatical Features of the modern Turkish Adjective". From 2022, she started her education for Doctoral Degree
Science Interests: Crisis Management for educational sector, Education and Economic Systems, and Human Capital
Nataliia Savina, The National University of Water and Environmental Engineering
Vice-rector for Research and International Affairss conduct scientific, technical and innovative activities of the university, including the implementation of research results at the National University of Water and Environmental Engineering. Promotes the development of scientific relations with other universities, scientific institutions, centers and other enterprises, institutions and organizations. Organizes scientific relations with International centers, funds, programs, other foreign institutions. She has awards from the university, city and regional authorities, the Ministry of Education and Science of Ukraine, departmental awards.
Science Interests: Opinion and Forecasting of Investment Efficiency in Logistics Projects, Logistic and Economic Systems, and Human Capital
Volodymyr Lytvynenko, Kherson National Technical University
Head of the Department of Informatics and Computer Sciences at the Kherson National Technical University.
Science Interests: Modeling of complex systems in economics, biology, medicine, machine learning methods, neural networks, Bayesian networks, evolutionary algorithms
Stanislav Mykhailov, The National University of Water and Environmental Engineering
Student for PhD degree in Economics. Scienceswas born in Rivne, Ukraine and went to the Kyiv National Taras Shevchenko University, where he studied Korean language for bachelor degree and public administration for master degree. From 2021 he started his education for PhD degree, analysing the impact of gambling regulation on a national economy
Science Interests: Crisis Management, Gambling sector, Gambling and Economic Systems

