An Approach to Design a Composite Index of Economic Development and Identifying the Bounds of its Levels

Hryhoruk, Pavlo; Хрущ, Ніла; Grygoruk, Svitlana

doi:10.1109/acitt.2019.8779918

Cited by 10 publications

(10 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If there are statistics for several time periods, the boundaries for intervals can be specified using, in particular, the iterative procedure presented in [23]. Note that the first interval, which corresponds to a sufficient level, has very wide boundaries.…”

Section: Resultsmentioning

confidence: 99%

Assessing Bank Financial Security Level Using the Comprehensive Index Technology

Хрущ¹,

Hryhoruk²,

Prystupa³

et al. 2019

Proceedings of the 6th International Conference on Strategies, Models and Technologies of Economic Systems Management (SMTESM 2

Self Cite

View full text Add to dashboard Cite

The paper is devoted to issues of assessment of the bank financial security level. The analysis of existing approaches to the solution of this problem has been carried out. The scientific-methodological approach based on the use of comprehensive index technology is proposed. The calculating algorithm is presented in the form of a four-step procedure, which contains the definition of the initial set of data, their normalization, the calculation of the comprehensive index of financial security and results interpretation. The identification of financial security levels and the boundaries of the corresponding comprehensive index is carried out on the basis of analysis of the objects' configuration in the two-scale space of partial composite indexes. It constructed by the division of the set of initial indicators using the its content characteristics. The grouping results are matched with similar results are obtained by cluster analysis and the method of the principal components. The article presents the practical implementation of the proposed calculation procedure. For this purpose, a training sample of banks and a set of initial indicators was formed. The obtained results allowed to determine the number of levels of financial security and their boundaries. The financial security levels established for the analyzed banks as a result of the calculations are conditional and determined by the sample.

show abstract

Section: Resultsmentioning

confidence: 99%

Assessing Bank Financial Security Level Using the Comprehensive Index Technology

Хрущ¹,

Hryhoruk²,

Prystupa³

et al. 2019

Proceedings of the 6th International Conference on Strategies, Models and Technologies of Economic Systems Management (SMTESM 2

Self Cite

View full text Add to dashboard Cite

show abstract

“…The standardised coefficients s ik μ could be applied in the processes of implementation of the regional policy measures as the weight factor, which could balance the effect of the regional policy utilization in different regions within or outside the clusters. These coefficients also can be combined with composite index assessment technology, which is applied as the approach to determining the levels of economic development of the regions in Ukraine [11].…”

Section: Using Fuzzy Clustering Results For Shaping Regional Develmentioning

confidence: 99%

“…The problems of estimating and classifying of regional development disparities, and some approaches to assessing the economic development levels, are discussed in [6]- [11]. Also, different clustering techniques, including fuzzy approaches, based on fuzzy sets theory of L. Zadeh [12], are presented in [13]- [18].…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Fuzzy Clustering to Shaping Regional Development Strategies in Ukraine

Gorbatiuk¹,

Mantalyuk²,

Proskurovych³

et al. 2019

Proceedings of the 6th International Conference on Strategies, Models and Technologies of Economic Systems Management (SMTESM 2

View full text Add to dashboard Cite

Formation of regional development strategies is impossible without taking into account the disparities in the development levels of regions which affect the entire national economy. Strengths and weaknesses of the functioning of each regional economic system, favourable and negative trends in the development of regions, disparities in the development levels, should be analysed and detected. This paper is devoted to applying of fuzzy clustering methods for the purpose of differentiation of development levels of the regions of Ukraine, in order to make recommendations on using of fuzzy clustering results in shaping regional development strategies. The fuzzy clustering methods were applied to the regional economic development indicators of the regions of Ukraine in 2017. There were considered different fuzzy clustering results and clustering validity techniques. The study presents the fuzzy classifications accompanied with the cluster validity process and substantial analysis of the economic indicators. The results of fuzzy clustering allow to consider in more detail the similarities in the regional economic development levels, assigned to the same clusters, and reveal the dissimilarities between the regions assigned to the different clusters. The membership coefficients can be used as values for regulation of influence on important economic components of the regional development strategies.

show abstract

“…Another way to take into account the multidimensionality for the description of regional development processes is to use the technology of comprehensive index assessment [28][29][30][31][32][33]. The vast majority of scientists' approaches in the presented studies are focused on designing a composite indicator of economic development by linear convolution of a set of quantitatively measured indicators.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Among the shortcomings, it is worth noting the lack of consideration of the weight of the initial indicators or proper justification of the proposed weights, which in most cases it is proposed to determine the expert method. Besides, either a linear relationship between the values of the composite indicator and these levels, or a desirability scale without proper conversion of the original data is usually used to interpret the results and establish levels of economic development [31].…”

Section: Literature Reviewmentioning

confidence: 99%

Using a comprehensive index technology to analyze structural changes in the regions’ economic development in a COVID-19 pandemic: the case of Ukraine

2021

Self Cite

View full text Add to dashboard Cite

The paper investigates the issues of evaluating structural changes in the regions’ economic development based on the comprehensive index assessment technology. The impact of the COVID-19 pandemic on regional development and changes in the regional structure is considered. The authors propose the use of block convolution to design a comprehensive index based on a set of metric initial indicators that characterize the regions’ economic development. Grouping the set of initial indicators is carried out based on the method of an extreme grouping of parameters and the method of principal components. A weighted linear additive convolution was used to develop partial composite indices and an economic development comprehensive index. The practical approbation was carried out for the regions of Ukraine according to the data of 9 months of 2019 and the same period of 2020. To establish the regions’ structure, we used the division of the comprehensive index values into intervals and further distributing regions into classes according to the level of economic development. There is a general decrease in the value of the integrated indicator in 2020, caused by the impact of the COVID-19 pandemic. However, no significant changes in the structure of the regions were detected, which indicates an equally negative impact of the pandemic for all regions of Ukraine.

show abstract

An Approach to Design a Composite Index of Economic Development and Identifying the Bounds of its Levels

Cited by 10 publications

References 6 publications

Assessing Bank Financial Security Level Using the Comprehensive Index Technology

Assessing Bank Financial Security Level Using the Comprehensive Index Technology

Application of Fuzzy Clustering to Shaping Regional Development Strategies in Ukraine

Using a comprehensive index technology to analyze structural changes in the regions’ economic development in a COVID-19 pandemic: the case of Ukraine

Contact Info

Product

Resources

About