Forecasting Models for the Economic Security of Regional Clusters of the National Economy

Introduction. The principal internal factors of the economic security of regions are defined by principal component analysis and their correlation with respective indicators is determined. Four principal factors (components) of the economic security of regions are identified. Forecasting models for...

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Main Author: N. S. Ivanova
Format: Article
Language:English
Published: State Statistics Service of Ukraine, the National Academy of Statistics, Accounting and Audit (NASAA), the National Academy for Public Administration (NAPA) under the President of Ukraine 2018-10-01
Series:Статистика України
Subjects:
Online Access:https://su-journal.com.ua/index.php/journal/article/view/187
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author N. S. Ivanova
author_facet N. S. Ivanova
author_sort N. S. Ivanova
collection DOAJ
description Introduction. The principal internal factors of the economic security of regions are defined by principal component analysis and their correlation with respective indicators is determined. Four principal factors (components) of the economic security of regions are identified. Forecasting models for the economic security of regions of the national economy are constructed by regional cluster using the results of the study. The study is performed by data on main socio-economic indicators of 24 Ukrainian regions over 2008–2015 and by economic security clusters (classified as “good”, “sufficient” and “satisfactory”) defined in previous studies. The purpose of the study is to construct sets of forecasting models for the economic security of the national economy by regional cluster. Methods. Methods of theoretical generalization are used to study and systematize the factors of the economic security of regions; multidimensional statistical methods such as principal component analysis are used to define their correlation with the respective indicators; the method of comparison allows for defining common and distinctive features of the results of computation of the economic security of regions using the constructed models. Results. Principal component analysis used for defining the internal factors of economic security of regions and their correlations with the respective indicators allows for identifying four principal factors (components) of the economic security of regions. Results of principle component analysis show that the significance of the first four latent factors for the overall sample is 86.86% of the dispersion of the analyzed variables (13.14% error); for “good” cluster it is 87.3% (12.7% error); for “sufficient” cluster it is 88.03% (11.97% error); for “satisfactory” cluster it is 86.0% (14.0% error). Four sets of forecasting models are constructed, each consisting of a mathematical description of four principal components for each sample. The implementation of the constructed models confirms the inclusion of the regions to the respective regional clusters. The dynamics of the indicators shows the economic situation and processes in the regions in the respective periods.  Conclusion. The applied character of the constructed models is substantiated by their practical implementation using actual socio-economic data for the regions represented in each of the regional clusters (Dnipropetrovsk, Vinnytsia, and Volyn regions), over the period of 2008–2015. Further studies should focus on making the scale of the economic security performance for the constructed forecasting models, to determine the performance and estimate the probability of insecurity occurrences in the economy using expected (planned) figures of economic development in a region.
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spelling doaj.art-98bfaa9ed9894366a0c8e565bdb745a72022-12-22T03:26:30ZengState Statistics Service of Ukraine, the National Academy of Statistics, Accounting and Audit (NASAA), the National Academy for Public Administration (NAPA) under the President of UkraineСтатистика України2519-18532519-18612018-10-01812728110.31767/su.2(81)2018.02.09187Forecasting Models for the Economic Security of Regional Clusters of the National EconomyN. S. IvanovaIntroduction. The principal internal factors of the economic security of regions are defined by principal component analysis and their correlation with respective indicators is determined. Four principal factors (components) of the economic security of regions are identified. Forecasting models for the economic security of regions of the national economy are constructed by regional cluster using the results of the study. The study is performed by data on main socio-economic indicators of 24 Ukrainian regions over 2008–2015 and by economic security clusters (classified as “good”, “sufficient” and “satisfactory”) defined in previous studies. The purpose of the study is to construct sets of forecasting models for the economic security of the national economy by regional cluster. Methods. Methods of theoretical generalization are used to study and systematize the factors of the economic security of regions; multidimensional statistical methods such as principal component analysis are used to define their correlation with the respective indicators; the method of comparison allows for defining common and distinctive features of the results of computation of the economic security of regions using the constructed models. Results. Principal component analysis used for defining the internal factors of economic security of regions and their correlations with the respective indicators allows for identifying four principal factors (components) of the economic security of regions. Results of principle component analysis show that the significance of the first four latent factors for the overall sample is 86.86% of the dispersion of the analyzed variables (13.14% error); for “good” cluster it is 87.3% (12.7% error); for “sufficient” cluster it is 88.03% (11.97% error); for “satisfactory” cluster it is 86.0% (14.0% error). Four sets of forecasting models are constructed, each consisting of a mathematical description of four principal components for each sample. The implementation of the constructed models confirms the inclusion of the regions to the respective regional clusters. The dynamics of the indicators shows the economic situation and processes in the regions in the respective periods.  Conclusion. The applied character of the constructed models is substantiated by their practical implementation using actual socio-economic data for the regions represented in each of the regional clusters (Dnipropetrovsk, Vinnytsia, and Volyn regions), over the period of 2008–2015. Further studies should focus on making the scale of the economic security performance for the constructed forecasting models, to determine the performance and estimate the probability of insecurity occurrences in the economy using expected (planned) figures of economic development in a region.https://su-journal.com.ua/index.php/journal/article/view/187region, economic security, forecasting, principal component analysis, factor analysis.
spellingShingle N. S. Ivanova
Forecasting Models for the Economic Security of Regional Clusters of the National Economy
Статистика України
region, economic security, forecasting, principal component analysis, factor analysis.
title Forecasting Models for the Economic Security of Regional Clusters of the National Economy
title_full Forecasting Models for the Economic Security of Regional Clusters of the National Economy
title_fullStr Forecasting Models for the Economic Security of Regional Clusters of the National Economy
title_full_unstemmed Forecasting Models for the Economic Security of Regional Clusters of the National Economy
title_short Forecasting Models for the Economic Security of Regional Clusters of the National Economy
title_sort forecasting models for the economic security of regional clusters of the national economy
topic region, economic security, forecasting, principal component analysis, factor analysis.
url https://su-journal.com.ua/index.php/journal/article/view/187
work_keys_str_mv AT nsivanova forecastingmodelsfortheeconomicsecurityofregionalclustersofthenationaleconomy