Regional population expenditure for foodstuffs in the Russian Federation: componential and cluster analyses

M B Guzairov,E A Makarova,I V Degtyareva

doi:10.15826/recon.2016.2.1.009

M B Guzairov, E A Makarova + Show 1 more

Open Access

https://doi.org/10.15826/recon.2016.2.1.009

Copy DOI

Journal: R-Econom	Publication Date: Jan 1, 2016
License type: cc-by

Affiliation: Ufa State Aviation Technical University

Abstract

The article describes the solving of the problem of conducting the componential and cluster analyses of population expenditure for foodstuffs as one of the most important components of the standard of living. The purpose of the analysis is to develop the regional clusters of the Russian Federation, which vary in the structure of household expenditure for foodstuffs. The foodstuffs are presented in absolute units taking into integral account the standard of living index. The methods of intellectual analysis such as component and cluster analyses are applied as the research methods. The procedure for the data intellectual analysis based on the interconnected performance of component and cluster analyses is proposed. The procedure of the data intellectual analysis considers the interrelation between the results received by different methods, and also the possibility to return to the previous method for the purpose of repeating the analysis to specify consistently the clusters composition. Few clusters of the wealthy regions characterized by the high and average level of expenditure for foodstuffs are revealed as well as the quite many clusters of not enough wealthy and not wealthy regions characterized by the low level of expenditure for foodstuffs. It is shown that the growth of standard of living characterized by the size of a gross regional product per capita is followed by the growth of the Gini coefficient, which indicates both the inequality of income distribution and reduction in expenditure for low-value foodstuffs. The results of the analysis can be applied for the development of the decision making support system intended for the analysis of the scenarios of macroeconomic regulation in the field of income policy for the purpose of increasing the standard of living of the population. The analysis of the population expenditure for foodstuffs has allowed to reveal the cluster structure of the regions of the Russian Federation, to show it according to the generalized indications, to formulate the specific characteristics of the clusters of the regions and important management decisions.

Highlights

Modern conditions in the development of the Russian economy are characterized by significant problems connected with the growth and quality of living standards, which in the first place is due to an increase in the gross domestic product (GDP)
The scenario of a consumer-oriented increase, which is necessary during a recession period, must be transformed into a scenario of investment-oriented increase if there is to be any positive tendency in GDP dynamics. [1,2,3,4]
The proposed data mining procedure carried out to find out the food expenses structure is based on the interrelated and cyclic application of component and cluster analysis methods that study the population’s expenditure on food

Summary

Introduction

Modern conditions in the development of the Russian economy are characterized by significant problems connected with the growth and quality of living standards, which in the first place is due to an increase in the gross domestic product (GDP).According to the forecast of social and economic development of the Russian Federation for 2013– 2015 published by the Ministry of Economic Development, the promotion of the private domestic demand is one of the main ways to motivate the GDP growth 2.The scenario of a consumer-oriented increase, which is necessary during a recession period, must be transformed into a scenario of investment-oriented increase if there is to be any positive tendency in GDP dynamics. [1,2,3,4].According to the forecasted scenario suggested by the Ministry of Economic Development, an increase in consumer demand should be provided initially by achieving strong growth in household consumption (about 5,7 % per year), which in turn is planned to be achieved by speeding up the growth of real income.it is relevant to research the dynamics of the handling of expenditure and income for households in a multisector macroeconomic system. According to the forecast of social and economic development of the Russian Federation for 2013– 2015 published by the Ministry of Economic Development, the promotion of the private domestic demand is one of the main ways to motivate the GDP growth 2. According to the forecasted scenario suggested by the Ministry of Economic Development, an increase in consumer demand should be provided initially by achieving strong growth in household consumption (about 5,7 % per year), which in turn is planned to be achieved by speeding up the growth of real income. It is relevant to research the dynamics of the handling of expenditure and income for households in a multisector macroeconomic system. Software is being developed for an intelligent decision-making support system and simulation modeling for the formation of household income and expenditure in a multisector macroeconomic system. [5, 6]

Methods

Results

Conclusion