Studying the factors of regional insurance market development using the correlation and regression analysis

2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Natalia Sidelnyk

This paper summarizes the arguments and counterarguments within the scientific discussion on the key indicators of the insurance market. The research’s primary purpose is to conduct a comprehensive analysis of the main indicators of the insurance market of Western Europe with the visualization of the results. Insurance markets are adapting to a single trade regime in insurance services. It is formed under the influence of national and regional economic development strategies. The experience of integration in the insurance markets of the European Union shows that not all countries benefit equally from integration processes. The relevance of the decision of this scientific problem is caused by сomparative analysis of the share of European countries in the world market by volume insurance premiums. It showed a broad scope, reflecting the high-level asymmetries in the development of the insurance market, as the most developed to less developed countries of Europe. Investigation of the topic of theoretical principles of insurance in the paper is carried out in the following logical sequence: selection of input indicators; analysis of the dynamics and structure of indicators of the insurance market of Western Europe; research of insurance market indicators using correlation and regression analysis; visualization of the results. The research methods’ methodological tools were basic descriptive statistics, correlation, and regression analysis. The period of research is 2009-2019. Given the results obtained, we can say that the dynamics of change in the studied indicators are abrupt. Some indicators have a clear trend to change, in particular, the share of life insurance. Given the structural analysis, the following results were obtained. The largest share of the country’s insurance market share among OECD countries is observed in the following countries: Germany and France. The Czech Republic and Latvia occupy the smallest share in this indicator. Correlation-regression analysis shows an increase in the total number of insurance premiums (fees for the insurance company’s services) shows an increase in the general interest of the population in insurance services, which will contribute to the growth of all areas of insurance.


2020 ◽  
Vol 13 (2) ◽  
pp. 216-242
Author(s):  
V.A. Yakimova ◽  
A.A. Orekhova

Subject. The article addresses the tax liabilities of taxpayers registered in the subjects of the Far Eastern Federal District, which should be paid to the consolidated budget of the Russian Federation, as well as the factors of the said debt growth. Objectives. Our aim is to assess the level of tax debt of regions of the Russian Far East and identify the correlation between the factors and the amount of tax debt. Methods. The study rests on methods of analysis, generalization, grouping, systematization, and the correlation and regression analysis. Results. We analyzed the level of tax debt for the entire Far Eastern Federal District and by region, identified factors affecting the growth of tax debt therein. The paper assesses the structure of tax debt by type of taxes and activity of debtors. The unveiled factors may help control changes in the size of tax debt in the Russian Far East and develop effective measures to improve the debt collection. Conclusions. The study shows that there is an increase in the tax debt in the regions of the Russian Far East, in the VAT in particular. The factor analysis revealed that the volume of sales of wholesale enterprises, investment in fixed capital, the consumer price index have the largest impact on the amount of tax debt.


Author(s):  
G.Z. Nizamova ◽  
◽  
M.M. Gaifullina ◽  

Purpose of the study: to identify the factors affecting the volume of production of motor gasoline. Research methods: analysis and synthesis, systematic approach, as well as methods of correlation and regression analysis. Results of the research: A methodological approach to the use of tools for correlation and regression analysis of the gasoline market is proposed, which includes the following stages: 1) formation of a data array; 2) carrying out correlation analysis, building a correlation matrix, selecting factors into the model using the Correlation tool in the Data Analysis package of MS Excel; 3) conducting a regression analysis, constructing a regression equation, substantiating the obtained dependence using the "Regression" tool in the "Data Analysis" MS Excel package, calculating the elasticity coefficients. It is proposed to use the volume of production of motor gasoline as effective in carrying out the correlation-regression analysis and constructing mathematical models. Among the dependent variables and factors affecting the volume of production of motor gasoline, it is proposed to use variables that characterize four groups of factors: resource (raw material) limitations (the volume of oil production and refining), production capabilities of the industry (through the depth of oil refining and the yield of light oil products that characterize production capacity and set of installations in the industry), price attractiveness of the market (prices of producers and consumers of motor gasoline, world oil prices), export attractiveness (volume and value of exports). Multivariate economic and statistical models of the dependence of the volume of production of motor gasoline on a number of factors have been developed. Based on the results of calculations, a strong correlation was revealed between the volume of production of motor gasoline and the values of primary oil refining, oil production, and export of motor gasoline. The predicted values are located as close as possible to the residual values, which indicates that the resulting regression equation has a high degree of accuracy. Research prospects: the research results can be used to identify significant factors in the development of the motor gasoline market in the Russian Federation.


2020 ◽  
Vol 185 (9-10) ◽  
pp. 48-60
Author(s):  
Evgenia Prokopjeva ◽  
◽  
Natalia Kuznetsova ◽  
Svetlana Kalayda ◽  
◽  
...  

The relevance of the paper is predetermined by the fact that insurance acts as an institute of financial and social protection, and insurance companies (especially for long-term life insurance) are the most important and socially responsible investors, which account for about 8-12% of total investments in developed countries in the economy, which, in turn, serves as a significant factor in economic growth. The purpose of our paper is to prove the relationship between the level of development and dynamics of insurance markets on the one hand, and the level and dynamics of economic growth rates in a number of countries, on the other. To achieve the goal, we set and solved the research objectives: 1) to determine the degree of elaboration of the problem of the relationship between economic growth and the development of the insurance market in a number of countries and regions of the world economy; 2) to construct a comprehensive classification of similar and different characteristics in certain countries of the worlds’ economy (European, Asian, extended countries with a federal structure, post-socialist countries); 3) to highlight some indicators of the level of economic development and growth of classified countries (central bank interest rate, economic growth rate, investment growth rate, etc.) associated with some parameters of insurance market development, primarily with the volume and growth rate of insurance premiums, including the growth rate of life insurance premiums; 4) to classify the insurance regulation models of the grouped countries based on the analysis of the relationship between the selected economic and insurance indicators; 5) to assess the degree of relationship between the development of a relatively young and unbalanced insurance market and indicators of economic growth in Russia. The latter occupies a special place in the classification of the countries under consideration by characteristics of insurance development, by spatial, geopolitical parameters, by indicators of economic development and economic dynamics. The research results and conclusion are the following: 1) there is a direct relationship between the indicators of economic growth and indicators of the development of the insurance market in national economies and regional integration complexes; 2) different types of grouped countries have a different degree of dependence between indicators of economic growth and the insurance market indicators’ development, which is determined, not least of all, by historical, economic, spatial, geographical and geopolitical characteristics; 3) the close relationship between the indicators of economic development and growth of countries under consideration and their insurance markets is ambiguous, due to the fact that the active growth of insurance is noted in countries with a high density and a significant proportion of the young population; 4) the reasons for similarities and differences in the relationship under study are diverse and determined by differences in functioning of socio-economic systems (geographical, legislative, political, social, etc.), as well as by the adopted model of insurance regulation; 5) the growth of the insurance market corresponds to the general economic growth, subject to the intensification of investment activity; 6) life insurance shows a closer relationship with macroeconomic indicators compared to other segments of the insurance market; 7) the importance of studying the proposed problem for Russia in the future is due to its important integrating function for the national insurance markets of European as well as Asian countries.


2018 ◽  
Vol 13 (2) ◽  
pp. 19-22
Author(s):  
Наталья Бессчетнова ◽  
Natalya Besschetnova ◽  
Петр Бессчетнов ◽  
Petr Besschetnov ◽  
Анна Кулькова ◽  
...  

The article deals with the results of correlation and regression analysis of the starch content in the tissues of annual shoots of various spruce species under the conditions of introduction into Nizhniy Novgorod region. Estimates of the tightness of the connection between the analyzed indicators are given, and the regression equations are given. The greatest positive correlation was found between the content of starch in phloem and its total quantity. Research objective – to reveal existence and to define narrowness of communication between indicators of content of starch in fabrics of year escapes at different types of a fir-tree. Analyzed even-aged trees with an identical area of food and other equal conditions of growth. In total 145 samples prepared in March, 2016 are tested. Communication between the content of starch on separate fabrics in this regard is significantly less.


Foods ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 30 ◽  
Author(s):  
Chiachung Chen

The water activity (Aw) and moisture content (MC) data of floral honey at five temperatures were determined using the Aw method and it was found that temperature significantly affected the Aw/MC data. The linear equation could be used to express the relationship between Aw and MC of honeys. The empirical regression equations between parameters and temperature were established. To evaluate the factors affecting the Aw/MC data, we used categorical tests of regression analysis to assess the effect of the correlation between Aw and MC of honey and examined the factors affecting the regression parameters. Six datasets from five countries were selected from the literature. The significance of the levels of qualitative categories was tested by t-test. The slope of the relationship between Aw and MC was affected by the state of honey (liquid and crystallized). The intercepts were significantly affected by honey type (flower or honeydew), harvesting year, geographical collection site, botanical source and other factors. The outliers in the datasets significantly affected the results. With modern regression analysis, useful information on the correlation between Aw and MC could be found. The results indicated that no universal linear equation for Aw and MC could be used. The Aw value could be used as a criterion for the honey industry; then, the MC of honey could be calculated by the specific linear equation between Aw and MC.


Author(s):  
Sushil K. Sinha ◽  
Mahesh Chander ◽  
Med R. Verma ◽  
Anupama Jena

The effective research-extension linkage in agriculture and veterinary universities depends on multiple factors. To analyze such factors, the present study was carried out with a sample of 80 researchers and 40 extensionists from four veterinary universities in India. The correlation and regression analysis revealed that most of the dimensions of functional R-E linkage were less affected by the selected profile characteristics of respondents. Their information accessibility, job-experience, training/seminar familiarity and perception of management have a positive and significant relationship with linkage strength. So, these factors should be addressed by the university to strengthen and design effective linkage strategies for research and extension.


Author(s):  
Trinh Thuy Anh ◽  
Tran Kiem Viet Thang

The study examines the impact of factors influencing customers’ intention to attend a tourism event, by considering the motivation to attract customers to such an event. The authors collected 230 interview samples from different subjects, then conducted a quantitative method through factor, correlation, and regression analysis. The results show that the motivation to attract customers to tourism events has a great influence on their participating intention. In particular, factors affecting the motivation to take part in the event include influence group, communications, convenience, and content. The analysis results give several suggestions for event organizers to be able to gain more customer engagement.


2021 ◽  
Vol 270 ◽  
pp. 01018
Author(s):  
Marina Vinogradova ◽  
Liubov Iakodiuk

This article discusses the application of applied mathematics in the study of the effectiveness of the enterprise of small forms of entrepreneurship individual entrepreneur Glukhikh L. P. The authors have identified the factors that most significantly affect the result of the enterprise-profit. Regression equations of the dependence of the company’s profit on various factors are compiled. The research methods used were business activity analysis, correlation and regression analysis, research on cyclicity and on the presence of a trend in a time series. The greatest attention should be paid to increasing the cost of sales, since an increase in the cost of sales by 1 ruble entails an increase in profit by 0.92 rubles. The study of the dependence of the company’s profit on time (24 months) showed that the profit changes randomly, there is no clear trend to decrease or increase it. In addition, no different cyclical fluctuations were detected. The analysis of business activity showed that the company is heading for its development.


2015 ◽  
Vol 5 (4) ◽  
pp. 319-330
Author(s):  
Athenia Bongani Sibindi

The insurance industry plays a very crucial role in an economy by fostering intermediation and by its mechanism of risk bearing. As such it could be argued that the insurance industry fosters economic growth. In this article we analyse the global insurance market development trends, particularly focusing on Africa. Our sample comprise of the 10 African countries namely—South Africa, Angola, Nigeria, Kenya, Mauritius, Namibia, Algeria, Tunisia, Morocco and Egypt. We employ three insurance market development metrics namely; premium volumes, insurance density and insurance penetrations ratios to establish trends in the level of development of global insurance markets. Our results document that the African countries (excluding South Africa) have the least developed insurance markets. For most of the countries in our sample, the non-life insurance industry dominates the life-insurance industry. As such, it is imperative that their respective governments put in place measures that will grow their economies in order to stimulate the development of insurance markets in Africa.


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