Data science methods for comprehensive assessment of regional economic development
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DOIhttp://dx.doi.org/10.21511/dm.18(2).2020.05
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Article InfoVolume 18 2020, Issue #2, pp. 43-56
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The paper deals with the assessment of the socio-economic development of Ukrainian regions using Data Science methods and multidimensional analysis, including taxonomy, n-dimensional classification, and ensemble decision trees methods. The methodological bases of economic regions devel¬opment by the economic and mathematical modeling methods were investigated. The necessity of improving and further developing estimation models of the regional economic development using business analytics tools and multidimensional scaling methods was investigated.
The ensemble decision trees methods was applied for the classification model of economic development of the Ukrainian regions according to the conceptual base of the research on regional econom¬ic development. It will increase the quality level of administrative decisions making on regional de¬velopment asymmetry equalization. It is determined that in Ukraine, there is a significant imbalance of regions clusters with high and low economic level. Here was investigated the relationship between the two groups of economic development indicators – the indicators of the economic development regional performance and the group of economic potential. The results of the classification model allow identifying the set of indicators that have significant impact on the overall economic development. The developed ensemble model allows carrying out qualitative recognition and prediction of the state probability of economic development. It will improve the quality of decision making pro¬cesses on equalization of regional development asymmetry.
The further research gives the possibility to develop the system of levers directions of regional development imbalance equalization, to determine priority vectors of sustainable development of both the regions and the country.
- Keywords
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JEL Classification (Paper profile tab)C38, O18, R11
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References34
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Tables3
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Figures7
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- Figure 1. Концептуальна схема моделювання рівня ЕР регіонів
- Figure 2. Схема роботи алгоритмів бустингу та беггінгу
- Figure 3. Результати розрахунку рівня ЕР за регіонами
- Figure 4. Кореляційна матриця індикаторів
- Figure 5. Схема крос-валідації
- Figure 6. Графік впливу факторів
- Figure 7. Графік впливу факторів
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- Table 1. Результати крос-валідації класифікатора на навчальній виборці
- Table 2. Результати валідації моделі на тестовій вибірці
- Table 3. Результати основних метрик валідації моделі
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- Agishev, R., & Kapaeva, L. (2009). Problemy formirovaniya sistemy kompleksnykh pokazateley sotsialno-ekonomicheskogo razvitiya munitsipalnykh obrazovaniy [Problems of forming a system of complex indicators of socio-economic development of municipalities]. Regionology, 2. (In Russian).
- Arkhypenko, I. (2019). Foreign experience of formation and implementation of regional economic policy. Collection of scientific works «Public Administration and Local Government», 2(41), 32-42. (In Ukrainian).
- Boyko, A. (2014). Convergence and unevenness in regional development of Ukraine: risks, trends and prospects. Economics and region, 1, 72-78. (In Ukrainian).
- Communications Development Incorporated (2015). Human Development Report 2015. Work for human development (288 p.).
- Dutta, S., Lanvin, B., & Wunsch-Vincent, S. (Eds.) (2016). The Global Innovation Index 2016: Winning with Global Innovation.
- Glushhenko, K. (2010). Metody analiza mezhregionalnogo neravenstva po dokhodam [Methods for analyzing interregional income inequality]. Region: Economics and Sociology, 1, 54-87. (In Russian).
- Grebenkin, A. (2005). Asimmetriya razvitiya regionov: faktory vozniknoveniya i regulirovaniye [Asimmetrija razvitija regionov: faktory vozniknovenija i regulirovanie]. Nalogi, Investitsii, Kapital - Taxes, Investments, Capital, 1-3, 182-189. (In Russian).
- Havkalova, N. (Ed.) (2015). Zabezpechennia rehionalnoho rozvytku ekolohichnoho suspilstva zasobom stvorennia systemnoho bazysu syntezovanoho kapitalu [Ensuring the regional development of ecological society by means of creating a systemic basis of synthesized capital] (304 p.). Kharkiv: HNEU. (In Ukrainian).
- Helliwell, J., Layard, R., Sachs, J., & De Neve, J. (Eds.) (2020). World Happiness Report 2020.
- Hnativ, B., Tokarchuk, R., Kostrobij, P., & Tokarchuk, M. (2011). Mathematical modeling of economic processes by methods of nonequilibrium statistical mechanics. Journal of Lviv Polytechnic National University. Series of Physical and mathematical sciences, 696, 93- 100. (In Ukrainian).
- Hrechana, S., Kharytonova, O., & Klius, I. (2012). Research disproportions in development economy region. Efektyvna ekonomika - Efficient economy, 11. (In Ukrainian).
- ILO (2013). Resolution concerning statistics of work, employment and labour underutilization.
- Klebanova, T., & Kizima, N. (Eds.) (2011). Modeli otsenki neravnomernosti i tsiklicheskoy dinamiki razvitiya territoriy [Models for assessing the unevenness and cyclical dynamics of the development of territories] (352 p.). Kharkov: INZHEK. (In Russian).
- Kozyrieva, O., & Heiman, O. (2015). An Analysis of Inequality in the Socio-Economic Development of the Regions of Ukraine. Business Inform, 12, 93-104. (In Ukrainian).
- Makarova, O. (2015). Sotsialna polityka v Ukraini [Social policy in Ukraine] (244 p.). Kyiv: Ptoukha Institute for Demography and Social Studies of the National Academy of Sciences of Ukraine. (In Ukrainian).
- Mokij, A., & Daczko O. (2018). Implementatsiia instytutsionalnoho bazysu rehionalnoi polityky YeS v Ukraini [Implementation of the institutional basis of EU regional policy in Ukraine] (22 p.).
- Muzychuk, V. (2011). Indeks rozvytku liudskoho potentsialu yak indykator efektyvnosti sotsialnoi oriientatsii ekonomiky [Human resources development index as indicator of the economies social orientation efficiency].
- NISS (2009). Instytutsiini zasady derzhavnoho rehuliuvannia rozvytku depresyvnykh terytorii [Institutional framework of state regulation of depressed areas].
- Pilko, A., & Harda, T. (2018). The models of assessment and analysis of the regional development asymmetry. Economics of Development, 2(86), 24-35. (In Ukrainian).
- Ponomarenko, V., & Malyarets, L. (2009). Multivariate analysis of the socio-economic systems: study guide (384 p.). Kharkiv: KHNEU. (In Ukrainian).
- QuantDare (2016). What is the difference between Bagging and Boosting?
- Romanyuk, S. (2013). Rozvytok rehioniv u vidkrytii ekonomitsi: teoriia, polityka, praktyka [Development of regions in an open economy: theory, policy, practice] (375 p.). Kyiv: NADU. (In Ukrainian).
- Rudenko, L. (2005). Kontseptsiia zbalansovanosti rozvytku i yakist zhyttia naselennia [The concept of balanced development and quality of life]. Ukrainian Geographic Journal, 2, 44-50. (In Ukrainian).
- Samarina, V. (2008). Osobennosti otsenki neravnomernosti sotsial’no-ekonomicheskogo razvitiya regionov [Features of assessing the uneven socio-economic development of regions]. Problems of modern economics, 1(25), 300-303. (In Russian).
- Savchuk, T., & Luzhenetskyi, R. (2011). Vykorystannia klasternoho analizu dlia vyrishennia zadach tsilovoho marketynhu [Using cluster analysis to solve targeted marketing problems]. Measuring and computing devices in technological processes, 2, 144-148. (In Ukrainian).
- Scikit learn (n.d.). A random forest classifier.
- Scikit Learn (n.d.). Density-Based Spatial Clustering of Applications with Noise.
- Shitikov, V., & Mastickij, S. (2017). Klassifikatsiya, regressiya i drugiye algoritmy Data Mining s ispolzovaniyem R [Classification, Regression, and Other Data Mining Algorithms Using R]. (In Russian).
- Social Progress Index (n.d.). Official web-site.
- State Statistics Service of Ukraine (n.d.). Official web-site.
- Tomareva-Patlakhova, V. (2013). Model of regional development in the context of economic reforms. State and regions. Series: Economics and Business, 1(70), 76-80. (In Ukrainian).
- Vershygora, Yu., & Vershygora, V. (2017). Unevenness of development of the regions of Ukraine and ways of its overcoming. International Humanitarian University Herald. Economics and Management, 2(23), 25-28. (In Ukrainian).
- World Intellectual Property Organization (n.d.). Official web-site.
- XGBoost (n.d.). XGBoost Documentation.