Influence of the level of the population purchasing power onto development of the public food market in Russia

2020 ◽  
Author(s):  
I.V. Naumov ◽  
◽  
V.M. Sedelnikov ◽  
◽  
Keyword(s):  
Regression Analysis ◽  
Linear Models ◽  
Consumer Spending ◽  
The Public ◽  
Average Consumer ◽  
Correlation And Regression Analysis ◽  
Current State ◽  
Food Market ◽  
Main Factors ◽  
Per Capita

The article discusses the current state of the public food market in Russia, in particular, the turnover of the public food market and the number of facilities in it. The main factors are analyzed that influence onto the turnover of the public food market Those are the average per capita cash incomes of the population, consumer price indices, and the average consumer spending per capita. The authors performed the correlation and regression analysis of influence of various factors onto the level of public food market turnover in the Sverdlovsk Region. Based on the analysis, the linear and non-linear models were constructed. The corresponding forecast was made a forecast for the period 2020–2022. The main trends are identified in the public food market in Russia.

scholarly journals A study on organizational health among employees with reference to nlc, neyveli

2018 ◽  
Vol 8 (1) ◽  
pp. 1-19
Author(s):  
Chandrasekran S ◽  
Thiagarajan M
Keyword(s):  
Regression Analysis ◽  
Public Sector ◽  
Pension Plan ◽  
Organizational Health ◽  
Structured Interview ◽  
Primary Data ◽  
The Public ◽  
Correlation And Regression Analysis ◽  
General Government ◽  
Questionnaire Method

The public sector is a complex web of general government, pension plan, and government business enterprises. There are three levels of general government: federal, provincial/territorial and local (i.e., municipal). The federal and provincial general governments include ministries, departments, and agencies. Local general government includes municipalities. The present study aims to find out the organizational health among the NLC employees, Neyveli. A samples of 100 respondents selected randomly were studied. A questionnaire method of survey was used to find out the organizational health among the NLC employees. The data were collected by using questionnaire as an instrument. Primary data were collected by conducting direct structured interview using questionnaire. All the respondents were asked the same questions in the same fashion and they were informed the purpose of study. Correlation and Regression analysis was applied to test the hypotheses. The findings and observations are the result and outcome of the interpretations made during the study of analysis.

Analyzing the potential of entrepreneurial activity in the recreational sphere of Greater Yalta

2021 ◽  
Vol 14 (3) ◽  
pp. 281-297
Author(s):  
Igor' A. BUKREEV
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Resource Optimization ◽  
Entrepreneurial Activity ◽  
Business Activity ◽  
Working Capital ◽  
Case Methods ◽  
Correlation And Regression Analysis ◽  
Current State ◽  
High Level

Subject. The article investigates the potential of recreational business activity, which is understood as all financial, production, and entrepreneurial capabilities of enterprises in this area. Objectives. The purpose is to assess the recreational opportunities and provide recommendations, using the Greater Yalta case. Methods. The study employs methods of correlation and regression analysis, being the main tools for analyzing the activities of enterprises in the context of seasonality. Results. The paper shows that the reasons for the current state of recreational enterprises are the problem of seasonality. It establishes that these enterprises have a high level of capacity underutilization – about half of their production (54%), financial (53%), and more than a half of their entrepreneurial capacity (66%). To predict changes in the profits of enterprises, the paper identifies a number of measures for resource optimization. Conclusions. To improve the efficiency of recreational enterprises, it is necessary to find ways to optimize resources, in accordance with their business activity, or to increase the volume of activities during the off-season period. The obtained seasonality coefficients can be used in calculating the need for personnel, training, and determining the required minimum, which will be an object of investment in human capital (20%), as well as the minimum amount of all working capital.

A Study on the Relation between Meta-Cognition and Problem Solving Ability among the Students of Mechanical Engineering

2012 ◽  
Vol 263-266 ◽  
pp. 3439-3443
Author(s):  
Hsiu Ming Lee ◽  
Chien Pen Chuang ◽  
Jeen Fong Li ◽  
Yu Chun Huang
Keyword(s):  
Regression Analysis ◽  
Problem Solving ◽  
Predictive Power ◽  
Descriptive Statistics ◽  
Moderate Correlation ◽  
Correlation And Regression Analysis ◽  
Current State ◽  
Simple Regression Analysis ◽  
The Relationship ◽  
Simple Regression

This study are to understand the current state of the students’ meta-cognition, their attitude toward problem solving ability and to explore the relationship between the two. Using descriptive statistics, t-tests, Pearson product-moment correlation, and regression analysis, there was a moderate correlation (r = .531, p＜.05*) between the subjects’ meta-cognition and problem solving ability. Using simple regression analysis, the findings showed that meta-cognition had significant predictive power on problem solving ability.

scholarly journals Health Policies in Romania to Reduce the Mortality Caused by Cardiovascular Diseases

2019 ◽  
Vol 16 (17) ◽  
pp. 3080 ◽  
Author(s):  
Mihaela Simionescu ◽  
Svitlana Bilan ◽  
Beata Gavurova ◽  
Elena-Nicoleta Bordea
Keyword(s):  
Cardiovascular Diseases ◽  
Panel Data ◽  
Linear Models ◽  
Circulatory System ◽  
Public Hospitals ◽  
Health Policies ◽  
Panel Data Models ◽  
Public Health Policies ◽  
The Public ◽  
Per Capita

Cardiovascular diseases (CVDs) are the main cause of death in Romania. The objective of the paper is to explain the number of deaths caused by the diseases of circulatory system in relation to health expenditures per capita, the number of public hospitals with cardiology sections and the number of cardiologists. The analysis in the paper is based on panel data models and Bayesian linear models. A panel data approach for Romanian macro-regions in the period from 1995–2016 was used to show that an increase in the number of cardiologists would reduce the number of deaths caused by the diseases of circulatory system. The Bayesian approach to national data indicated that the increase in expenditures per capita would alleviate the incidence of deaths caused by CVD. The public health policies in relation to patients with CVD should focus on the future on higher expenditures per person, but the number of public hospitals and doctors treating these diseases should also continue to grow. Future healthcare policies should be also focused on reducing the number of specialists migrating to wealthier countries.

Influence of technology parameters of free-cutting steel continuous casting on the billet internal structure

2020 ◽  
Vol 76 (2) ◽  
pp. 139-142
Author(s):  
A. T. Kunakbaeva ◽  
A. M. Stolyarov ◽  
M. V. Potapova
Keyword(s):  
Regression Analysis ◽  
Continuous Casting ◽  
Internal Structure ◽  
Sulfur Content ◽  
Manganese Content ◽  
High Quality ◽  
Correlation And Regression Analysis ◽  
Cutting Steel ◽  
Continuously Cast

Free-cutting steel gains specific working properties thanks to the high content of sulfur and phosphorus. These elements, especially sulfur, have a rather high tendency to segregation. Therefore, segregation defects in free-cutting steel continuously cast billets can be significantly developed. The aim of the work was to study the influence of the chemical composition of freecutting steel and casting technological parameters on the quality of the macrostructure of continuously cast billets. A metallographic assessment of the internal structure of cast metal made of free-cutting steel and data processing by application of correlation and regression analysis were the research methods. The array of production data of 43 heats of free-cutting steel of grade A12 was studied. Steel casting on a five-strand radial type continuous casting machine was carried out by various methods of metal pouring from tundish into the molds. Metal of 19 heats was poured with an open stream, and 24 heats – by a closed stream through submerged nozzles with a vertical hole. High-quality billets had a cross-sectional size of 150×150 mm. The macrostructure of high-quality square billets made of free-cutting steel of A12 grade is characterized by the presence of central porosity, axial segregation and peripheral point contamination, the degree of development of which was in the range from 1.5 to 2.0 points, segregation cracks and strips – about 1.0 points. In the course of casting with an open stream, almost all of these defects are more developed comparing with the casting by a closed stream. As a result of correlation and regression analysis, linear dependences of the development degree of segregation cracks and strips both axial and angular on the sulfur content in steel and on the ratio of manganese content to sulfur content were established. The degree of these defects development increases with growing of sulfur content in steel of A12 grade. These defects had especially strong development when sulfur content in steel was of more than 0.10%. To improve the quality of cast metal, it is necessary to have the ratio of the manganese content to the sulfur content in the metal more than eight.

Empirical analysis of factors influencing the public health expenditure in Malaysia

2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Kok Wooi Yap ◽  
Doris Padmini Selvaratnam
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Price Index ◽  
Infant Mortality Rate ◽  
Public Health Expenditure ◽  
The Public ◽  
Empirical Results ◽  
Per Capita

This study aims to investigate the determinants of public health expenditure in Malaysia. An Autoregressive Distributed Lag (ARDL) approach proposed by Pesaran & Shin (1999) and Pesaran et al. (2001) is applied to analyse annual time series data during the period from 1970 to 2017. The study focused on four explanatory variables, namely per capita gross domestic product (GDP), healthcare price index, population aged 65 years and above, as well as infant mortality rate. The bounds test results showed that the public health expenditure and its determinants are cointegrated. The empirical results revealed that the elasticity of government health expenditure with respect to national income is less than unity, indicating that public health expenditure in Malaysia is a necessity good and thus the Wagner’s law does not exist to explain the relationship between public health expenditure and economic growth in Malaysia. In the long run, per capita GDP, healthcare price index, population aged more than 65 years, and infant mortality rate are the important variables in explaining the behaviour of public health expenditure in Malaysia. The empirical results also prove that infant mortality rate is significant in influencing public health spending in the short run. It is noted that macroeconomic and health status factors assume an important role in determining the public health expenditure in Malaysia and thus government policies and strategies should be made by taking into account of these aspects.

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
Keyword(s):  
Regression Analysis ◽  
Federal District ◽  
Insurance Market ◽  
Market Development ◽  
Insurance Markets ◽  
Regression Equations ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Inverse Effect

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.

Reproduction potential-based differentiation of Russian regions

2020 ◽  
Vol 18 (7) ◽  
pp. 1304-1319
Author(s):  
M.V. Moroshkina
Keyword(s):  
Spatial Development ◽  
Uneven Development ◽  
Regional Differentiation ◽  
Russian Regions ◽  
Policy Documents ◽  
Factors Influencing ◽  
Strategic Policy ◽  
Main Factors ◽  
Per Capita ◽  
Research Period

Subject. This article examines the issues related to changes in reproduction capacity and heterogeneity of the development of Russian regions. Objectives. The article aims to assess regional differentiation and investigate the main factors influencing the uneven development of the areas. Methods. For the study, we used the methods of comparative and correlation analyses. Results. The article identifies groups of leading and lagging Russian regions and assesses the possibility of convergence of Russian regions according to the analyzed indicators, such as GRP, GRP per capita, and the output of industry. Conclusions. The results obtained can be used when preparing strategic policy documents, spatial development programmes and concepts. The observed heterogeneity suggests that the regions maintain their positions throughout the research period.

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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