CLUSTER REGRESSION ANALYSIS TO DETERMINE THE IMPACT OF GDP ON VOLUNTARY HEALTH INSURRANCE PREMIUS

2021 ◽  
Vol 1 (7) ◽  
pp. 16-22
Author(s):  
N.L. Bushueva ◽  
Keyword(s):  
Regression Analysis ◽  
Health Insurance ◽  
Financial Stability ◽  
Socioeconomic Development ◽  
Medical Insurance ◽  
Voluntary Health Insurance ◽  
Correlation And Regression Analysis ◽  
Key Indicators ◽  
The Impact ◽  
The Relationship

Increasingly, the policy of the Russian Federation is aimed at the development of healthcare, and spending on the healthcare industry is becoming a serious problem for the financial stability of national health systems, even in highincome countries. Voluntary medical insurance, as one of the forms of medical insurance, contributes to the formation of all insurance premiums, thereby this form can be one of the indirect factors of socioeconomic development of Russia. The paper hypothesizes the existence of a relationship between the level of development of the welfare of the country and the volume of the premium fund of voluntary health insurance. A study was conducted on the relationship between voluntary health insurance and GDP, as one of the key indicators of the country's development, through correlation and regression analysis.

scholarly journals THE SAFETY AND SECURITY OF THE TOURISM ENTREPRENEURSHIP POTENTIAL REALIZATION IN MODERN CONDITIONS

2020 ◽  
Vol 6 (5) ◽  
pp. 203-208
Author(s):  
Iryna Mazur ◽  
Ramil Aliyev ◽  
Yuliia Zhelizko
Keyword(s):  
Regression Analysis ◽  
Safety Information ◽  
Security Threats ◽  
Test Results ◽  
Correlation And Regression Analysis ◽  
Tourist Flows ◽  
Political Security ◽  
High Level ◽  
The Impact ◽  
The Relationship

The purpose of the paper is to determine the relationship between different types of tourism safety and security, and components of the tourism entrepreneurship potential, to conduct a quantitative analysis of these indicators in the regions of Ukraine and to identify areas for ensuring the safety and security of the tourism entrepreneurship potential realization. Methodology. Analysis of tourism safety and security in Ukraine is based on the assessment of security potential indicator and the security threats indicator for 25 regions. These indicators take into account the following types of safety and security: security of tourist services, safety of tourist facilities and equipment, social security, political security, financial security, medical safety, information security, and ecological security. The impact of tourism safety and security on the tourism entrepreneurship potential realization is determined on the basis of correlation and regression analysis, where the indicator of the tourism entrepreneurship potential realization is the volume of domestic and inbound tourist flows in the region. The empirical basis of the study is the data of the State Statistics Service of Ukraine for 2019. The reliability of the regression model was tested on the basis of the approximation coefficient and Fisher's F-test. Results of the correlation analysis indicate a significant relationship between ensuring the safety and security of tourism in the region and the volume of domestic and inbound tourist flows. As a result of regression analysis, a model of a high level of reliability was obtained, which indicates how the volume of domestic and inbound tourist flows to the region increases with increasing the level of tourist safety and security by unit. Practical implications. Since the process of safety and security ensuring for the tourism entrepreneurship potential realization cannot be implemented exclusively at the regional level, it is justified the feasibility of a targeted public policy in eight areas. Value/originality. The identified relationship between the types of safety and security of tourism and components of the tourism entrepreneurship potential, as well as establishing the level of impact of safety and security of tourism on the tourism entrepreneurship potential realization in the region provide for a better understanding of ways for efficient governance in this area.

The Impact of Anxiety Caused by COVID-19 on Consumer Behaviour

2020 ◽  
Vol 8 (2) ◽  
pp. 243-270
Author(s):  
H. Mustafa Paksoy ◽  
Yakup Durmaz ◽  
Filiz Çopuroğlu ◽  
B. Dilek Özbezek
Keyword(s):  
Qualitative Research ◽  
Regression Analysis ◽  
Consumer Behaviour ◽  
Demographic Variables ◽  
Demographic Characteristics ◽  
Statistical Techniques ◽  
Demographic Information ◽  
Correlation And Regression Analysis ◽  
The Impact ◽  
The Relationship

The main purpose of this study is to examine the effect of anxiety that people experience due to the rapidly spreading Covid-19 on consumer behaviour. The sub-objectives of this study are to test the relationship among the anxiety caused by Covid-19, consumer behaviour and socio-demographic variables. In line with this purpose, qualitative research was conducted on 251 academicians working in Gaziantep University. Demographic information form, Death Anxiety Scale developed by Thorson and Powell (1992) and Consumer Behaviour Scale developed by Ang (2001) were conducted on the participants for data collection. The questionnaire was carried out online. The data obtained from the study were analyzed with statistical techniques such as factor analysis, correlation and regression analysis, independent sample T-test, and one-way analysis of variance (ANOVA). The findings of the study showed that the deprivation and suffering dimensions of the anxiety caused by Covid-19 have significant effects on the dimensions of consumer behaviour. It has also been found that there are significant differences among the socio-demographic characteristics of the participants, the anxiety caused by Covid-19 and consumer behaviour.

ASSESSMENT OF RELATIONSHIP BETWEEN KEY INDICATORS OF SUSTAINABLE DEVELOPMENT OF OIL COMPANIES IN AN UNSTABLE ECONOMY

2021 ◽  
Vol 1 (4) ◽  
pp. 54-66
Author(s):  
Nina Fedorovna Kuzovleva ◽  
◽  
Lyudmila Mikhailovna Prokofieva ◽  
Diana Evgenyevna Simakova ◽  
◽  
...  
Keyword(s):  
Sustainable Development ◽  
Regression Analysis ◽  
Labor Productivity ◽  
Geological Exploration ◽  
Input Information ◽  
Oil Companies ◽  
Correlation And Regression Analysis ◽  
Key Indicators ◽  
Relationship Of ◽  
The Relationship

This paper is devoted to analysis of the relationship between the level of company's capitalization and individual indicators which characterize sustainable development – replenishment of petroleum commodities as a result of geological exploration, labor productivity and frequency of accidents. The authors have made an attempt to determine the closeness of the relationship of these indicators using correlation and regression analysis. Current materials of financial and nonfinancial reports on levels of indicators of PJSC LUKOIL for the period 2015–2019 were used as input information.

scholarly journals Linking Motivation to Employees’ Performance: the Mediation of Commitment and Moderation of Delegation Authority

2019 ◽  
Vol 12 (9) ◽  
pp. 13
Author(s):  
Eric Irakoze ◽  
Kashosi Gad David
Keyword(s):  
Regression Analysis ◽  
Employee Performance ◽  
Correlation And Regression Analysis ◽  
And Performance ◽  
The Impact ◽  
The Relationship

This study explores the roles of commitment and delegation authority respectively as a mediator and moderator to evaluate the impact of motivation on employee performance. A survey conducted with 180 employees as participants at OTB (Burundi Tea Office) from 4 tea factories located at Ijenda, Teza, Tora and Rwegura helped to assess the effect motivation has on employees’ performance. The correlation and regression analysis in SPSS was supported to evaluate the hypotheses of this research.  The results reveal that there is a positive significance correlation between motivation and performance of employees. The outcomes from regression analysis express that commitment and delegation authority as mediator and moderator respectively have an impact on the relationship between motivation and performance of employees. 

scholarly journals Multiple correlation-regression analysis of the impact of major factors on oil production

2021 ◽  
Vol 258 ◽  
pp. 12013
Author(s):  
Klara Gabdrakhmanova ◽  
Gulnara Izmailova ◽  
Lilia Samigullina ◽  
Muhammad Majidov
Keyword(s):  
Regression Analysis ◽  
Oil Recovery ◽  
Oil Companies ◽  
Correlation And Regression Analysis ◽  
Direct Measurements ◽  
Major Factors ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship ◽  
Relevant Factors

This article discusses the multiple regression analysis techniques to determine the effectiveness of the factors used. The study examines the various relationships between the elements. It is important to identify which factor will be the most important when selecting wells to determine the amount of oil recovery. Nowadays, the most important problem in the fields of Tatarstan and Bashkortostan is the depletion of deposits. To maintain the profitability of mining companies, therefore, the issue of preparing new reserves remains relevant. This process involves high costs and risks. For a more reliable picture, it is crucial to determine the most relevant factors. The use of the triad of studies proposed by the authors makes it possible to more reliably determine the effectiveness of oil companies. The initial data are direct measurements and methods of mathematical statistics that allow more accurate predictions. Statistical analysis made it possible to identify the parameters on which the effectiveness of the factors depends. In domestic practice, the assessment of resources and reserves of hydrocarbons is usually made by deterministic methods, while abroad the statistical method is used. When studying the relationships between objects, the analyst should be interested not only in the presence and quantitative assessment of the relations but also in the form and relationship of the effective and factor characteristics, its analytical expression. Correlation and regression analysis help to solve these problems. Correlation analysis aims to measure the tightness of the relationship between the varying variables and to evaluate the factors that have the greatest impact on the resulting trait. Regression analysis is designed to select the form of the relationship, to determine the calculated values of the dependent variable (the effective feature) [1]. For the factor analysis, we used data on the oil industry published in the annual statistical collections of Rosstat, as well as specialized periodicals for ten years.

Impact of Sustainable Banking (E-Banking) on the Organisational Commitment Level of Bank Employees in Delhi

2021 ◽  
pp. 125-141
Author(s):  
Sweety Gupta ◽  
Anshu Yadav
Keyword(s):  
Sustainable Development ◽  
Regression Analysis ◽  
Organisational Commitment ◽  
Organization Commitment ◽  
Correlation And Regression Analysis ◽  
Bank Employees ◽  
Commitment Level ◽  
The Impact ◽  
The Relationship

The growing awareness among the society has led to a demand of a sustainable banking. Sustainable development promotes society betterment, and it also benefits the bank in several ways. One such factor is an increase in organization commitment among bank employees as a result of sustainable banking. This study revolves around finding the impact of sustainable banking towards the organization commitment level of bank employees in Delhi. For this study, 550 questionnaires were sent to the respondents. Out of the questionnaire sent, only 450 were found useful for further study. Convenient sampling was used to gather data from bankers. Correlation and regression analysis were done in AMOS to study the relationship between both the stated variables.

scholarly journals Labour Market in the Conditions of Digitalization: Possible Risks of Subjects of Labour Relations

2020 ◽  
pp. 110-128
Author(s):  
Elena V. Yanchenko ◽  
Keyword(s):  
Regression Analysis ◽  
Labor Market ◽  
Labour Market ◽  
Unemployment Rate ◽  
State Regulation ◽  
Modern Literature ◽  
Labour Relations ◽  
Correlation And Regression Analysis ◽  
The Impact ◽  
The Relationship

The relevance of the topic of the functioning of the labour market in the conditions of digitalization is due to the need for identifying and accounting for the risks of subjects of labour relations. The author reviews modern literature sources to determine the impact of digitalization on the labour market, identifies the positive and negative manifestations of this impact, defines the concept of risk for subjects of labour relations, and describes its main types and determinants. The correlation and regression analysis of the relationship between the economy and society digitalization index and the unemployment rate shows that the risks are low and the relationship is weak. The risk of unemployment in the context of digitalization is directly related to the level of the flexibility of the labor market and the elasticity of unemployment. In the conclusion, the author describes the novelty of the approach and gives recommendations for the state regulation of the issue.

The Influence of Organizational Structure and Readiness to Adopt a Public Private Partnership in Yemen

2014 ◽  
Vol 71 (5) ◽  
Author(s):  
Khaled Mohammed Al shareem,* ◽  
Nor'Aini Yusof ◽  
Ernawati Mustafa kamal
Keyword(s):  
Regression Analysis ◽  
Organizational Structure ◽  
Positive Relationship ◽  
Theoretical Framework ◽  
Research Model ◽  
Private Partnership ◽  
Correlation And Regression Analysis ◽  
Readiness To Adopt ◽  
The Impact ◽  
The Relationship

PPPs are widely implemented  worldwide and it has become vital issues in several studies. This study investigates the relationship between organizational structure and readiness to implement PPPs. The aim  of this research is to provide a theoretical framework for the impact of organizational structure on readiness to adopt PPPs and test whether the organizational structure dimensions have significant impact on the PPPs readiness index. The research model and hypotheses were formed and tested using correlation and regression analysis. The results show that formalization as one of the attributes in organizational structure is the main predictor to PPPs readiness index. This finding  also shows that the organizational structure has a significant and positive relationship with readiness to implement PPPs. Based on the findings, it is recommended that in order to enhance the implementation of the PPPs, there is a strong  need to consider organizational structure attributes such as centralization and formalization.

scholarly journals The Implication of Autism on Families: A Study at Savar, Dhaka City Bangladesh

2021 ◽  
pp. 19-33
Author(s):  
Taherun Nesa Suborna ◽  
Nuruddin Ahmed Masud ◽  
Mahmudul Hasan
Keyword(s):  
Regression Analysis ◽  
Primary Caregivers ◽  
Dhaka City ◽  
Autistic Children ◽  
Access To Services ◽  
Correlation And Regression Analysis ◽  
Depth Interview ◽  
Analysis Strategies ◽  
The Impact ◽  
The Relationship

This study works to identify the effects of autism on parents, siblings, and teachers. How autism affects a family and its members, how friends react to their autistic friend, neighbor’s perception, and teachers' behavior towards autistic children. After some previous studies, an empirical efficacy framework was created and tested through quantitative techniques. In-depth interview questions were set for conducting a survey with the Parents, Siblings, and Teachers. The results were examined using Cronbach’s α, Pearson's correlation and regression analysis strategies. The study examines the relationship between the impact of autism on parents, siblings, and teachers showing various impact by autistic children through the different phases of his life and with his association with different people in society. The study presents a comprehensive and recent review of the effects of autism. Parents who are the primary caregivers of these children were interviewed about their child's autism detection, access to services, and the impact of their family being affected by autism. The findings of the research can aid practitioners in the autism sector in focusing their efforts on areas that can be taken under observations for the improvement of autistic children as well as society.

Агрономическая эффективность промышленной (голландской) технологии возделывания картофеля

2018 ◽  
Author(s):  
C. Coy ◽  
A.V. Shuravilin ◽  
O.A. Zakharova
Keyword(s):  
Heavy Metals ◽  
Regression Analysis ◽  
Positive Response ◽  
Growth Yield ◽  
Correlation And Regression Analysis ◽  
Yield And Quality ◽  
Quality Of Products ◽  
High Degree ◽  
The Impact

Приведены результаты исследований по изучению влияния промышленной технологии возделывания картофеля на развитие, урожайность и качество продукции. Выявлена положительная реакция растений на подкормку K2SO4 в период посадки. Корреляционно-регрессионный анализ урожайности и качества клубней выявил высокую степень достоверности результатов опыта. Содержание нитратов и тяжелых металлов в клубнях было ниже допустимых величин.The results of studies on the impact of industrial technology of potato cultivation on growth, yield and quality of products. There was a positive response of plants to fertilizer K2SO4 in the period of planting. Correlation and regression analysis of yield and quality of tubers revealed a high degree of reliability of the results of experience. The contents of nitrates and heavy metals in tubers was below the permissible values.

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