scholarly journals Growth Factors of Life Expectancy in Modern Russia

2020 ◽  
Vol 27 (5) ◽  
pp. 76-86
Author(s):  
Т. V. Kossova
Keyword(s):  
Life Expectancy ◽  
Fixed Effects ◽  
Well Being ◽  
Federal State ◽  
Economic Factors ◽  
Housing Provision ◽  
Dependence Relationship ◽  
Health Insurance Funds ◽  
The Impact ◽  
Socio Economic Factors

The article presents some results of the author’s research to assess the impact of several socio-economic factors on life expectancy. As determinants were considered socio-economic factors, namely welfare level, housing provision and nutrition structure, characteristics of the healthcare system, lifestyle indicators, as well as factors that affect comfort and safety of living. These factors are within the scope of several social programs currently being implemented in Russia. The study is based on 2005-2016 data of the Federal State Statistics Service, as well as on information and statistical materials related to the budgets of the regions and territorial compulsory health insurance funds. Additionally, for the analysis, the author used a fixed effects panel model separately for men and women. The article presents estimates of the elasticity of life expectancy to the change of the set of factors. The article shows, in particular, to what extent an increase in healthcare expenditures leads to an increase in life expectancy. Differences in the degree of influence on the life expectancy of an increase in total expenditures on health care and positive changes in the welfare and lifestyle of the country’s population are empirically determined. At the same time, the elasticity coefficients for all the considered factors turned out to be higher in absolute value in the model for men than in the model for women. The author states that in both models the greatest dependence relationship is observed between the life expectancy dynamics and the intensity of the change in well-being characteristics, namely the value of per capita income and the total area of living quarters per inhabitant. Hence, it is concluded that identifying the degree of sensitivity of life expectancy to changes in each of the factors considered can be a useful tool in developing state policy, taking into account regional characteristics, aimed at improving the health of the population.

scholarly journals Regional Risk Factors of Pancreatic Disorders

2020 ◽  
pp. 4-9
Author(s):  
IL Ivanova ◽  
AA Vazhenina ◽  
LV Trankovskaya
Keyword(s):  
Risk Factors ◽  
Well Being ◽  
Living Conditions ◽  
Economic Factors ◽  
Primorsky Krai ◽  
Pancreatic Diseases ◽  
Pancreatic Disorders ◽  
Regional Risk ◽  
The Impact ◽  
Socio Economic Factors

Introduction: Establishing geographical features of health effects of socio-economic factors and characteristics of adaptation of certain population groups to new living conditions is important for taking appropriate preventive measures to improve the situation and for strategic planning in the sphere of health care and social development of territories. The purpose of the research was to determine priority regional risk factors for pancreatic disorders in the population of Primorsky Krai. Materials and methods: We conducted a hygienic and statistical analysis of the impact of selected socio-economic factors on the incidence rates of pancreatic diseases in children, adolescents, and adults. The database on the registered non-communicable disease incidence included the indices registered by the Primorsky Regional Medical Information and Analytical Center. The study of socio-economic factors included a quantitative assessment of data on three groups of indicators including living conditions, material well-being, and medical density over a 17-year observation period extracted from the regional yearbooks of the Department of the Federal State Statistics Service for Primorsky Krai. Results: We established an inverse relationship between pancreatic disease rates and the indices of population density, per capita income, and solvency ratio and a direct relationship with the proportion of living space in houses without utilities. Conclusion: Our findings enabled us to establish the relationship between adverse effects of socio-economic factors and pancreatic diseases in the regional population and to make a significant contribution to substantiating appropriate measures of primary prevention at the population level.

scholarly journals Estimates of the interrelation of the level of socio-economic development and the mortality rate in Russian regions

2020 ◽  
Vol 28 (1) ◽  
pp. 83-97
Author(s):  
Svetlana A. Balashova ◽  
Anastasia R. Zakharchuk ◽  
Maria V. Sidorenko
Keyword(s):  
Natural Population ◽  
Population Decline ◽  
Well Being ◽  
Economic Factors ◽  
Demographic Situation ◽  
Quantitative Estimates ◽  
Pskov Region ◽  
And Gender ◽  
The Impact ◽  
Socio Economic Factors

One of the most acute problems of the social development of present-day Russia is a tense demographic situation, one of the reasons for which is the insufficient rate of decline in mortality due to the birth crisis and uneven growth of migration. This study assessed the link of socio-economic factors with mortality by the example of the Pskov region, which is the permanent leader in natural population decline. Based on official statistics, the authors obtained quantitative estimates to characterize the dynamics of mortality using econometric tools. The aim of the study is to identify socio-economic factors that contribute most to the preservation of the dramatic demographic situation in the region. The study conducted an analysis of the relationship of socio-economic factors with mortality in the regions of the Russian Federation using the example of the Pskov region, which is the leader in anti-rating of natural population decline. As a result of the study, quantitative estimates were obtained that characterize the impact of the population lifestyle, age and gender structure on mortality, while controlling the average level of well-being. It is also shown that an increase in the share of the rural population leads to an increase in mortality, which can be explained by the migration of the young population to cities and the increase in the share of elderly people, remoteness from medical institutions and the inaccessibility of qualified medical care. It is estimated how an increase in the level of health development in the region and an improvement in the standard of living of the population contribute to a drop in mortality rates.

scholarly journals Statistical Analysis of the Impact of Social and Economic Factors on the Level of Crime as a Threat to Russia’s National Security

2020 ◽  
pp. 86-92
Author(s):  
Albina Khalikova ◽  
Ekaterina Sapozhnikova
Keyword(s):  
Economic Development ◽  
National Security ◽  
Crime Rate ◽  
Well Being ◽  
The State ◽  
Federal State ◽  
Housing Provision ◽  
The Social ◽  
Social And Economic Development ◽  
The Impact

Criminality is one of the most serious, socially significant problems. Such a negative phenomenon can hinder the social and economic development of the state, hinder the development of state’s favorable image in the world and threaten its national security. In order to avoid such consequences, it is urgent to identify and research the determinants that affect the spread of crime countrywide. The paper is devoted to the determination of the relationship of the crime rate in Russia with the set of social and economic indicators. The relevance of the research is connected with the increased variability of criminality and its constituent elements. The analysis is based on the data of the Federal State Statistics Service in 72 Russian regions for the period from 2015 to 2018. With the help of the correlation and regression analysis, it has been found that up to 42% of the variation in the indicator, i.e. the number of registered crimes per 100,000 people of the population, is explained by the factors that characterize the social and economic development and the well-being of society: the state of labor market, housing provision and level of urbanization. The obtained results are faithful to the original data, since the regressor coefficients are statistically significant, and the relationships do not contradict the economic logic. The data processing was made by means of the Gretl software package. It is concluded that a significant impact on the crime rate in Russia over the past 4 years had such factors as unemployment rate, total area of residential premises per inhabitant in average, and share of the urban population in the total population of the region.

scholarly journals Factors affecting life expectancy in Kazakhstan

R-Economy ◽  
2020 ◽  
pp. 261-270
Author(s):  
Aksanat Zh. Panzabekova ◽  
◽  
Ivan E. Digel ◽  
Keyword(s):  
Panel Data ◽  
Life Expectancy ◽  
Economic Factors ◽  
Microsoft Excel ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
The Republic ◽  
The Impact ◽  
Socio Economic Factors

Relevance. Life expectancy is a comprehensive indicator reflecting the quality of life in a country or region, which is why it is important to estimate the impact of various socio-economic factors on this indicator as accurately as possible. Our study makes a novel contribution to the existing research by conducting a correlation and regression analysis of factors affecting life expectancy in regions of Kazakhstan based on panel data. Research objective. This paper aims to present a modified methodology for estimation of factors affecting life expectancy in regions of Kazakhstan. Data and methods. Our research relies on panel data on regions and cities of Kazakhstan. The data are provided by the Ministry of National Economy and the Ministry of Health Care of the Republic of Kazakhstan. Methodologically, the research is based on regression and correlation analysis. The two main criteria were applied for data selection: availability of statistical data for a sufficiently long period and the potential impact of factors on life expectancy. We built a two-factor power regression model calculated with the help of software package Microsoft Excel. Results. In our research, regression models were used to formulate conclusions concerning the impact of certain socio-economic factors on life expectancy in regions of Kazakhstan. We also brought to light the factors whose relationship to life expectancy requires further investigation. Conclusions. It was found that the most significant factors affecting life expectancy in regions of Kazakhstan are economic ones. The proposed methodology can be used for short- and medium-term predictions of life expectancy.

scholarly journals Socio-economic factors in the spread of SARS-COV-2 across Russian regions

R-Economy ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 129-145
Author(s):  
Evgeny V. Sinitsyn ◽  
◽  
Alexander V. Tolmachev ◽  
Alexander S. Ovchinnikov ◽  
◽  
...  
Keyword(s):  
Mathematical Model ◽  
Correlation Analysis ◽  
Federal State ◽  
Economic Factors ◽  
Factors Affecting ◽  
Average Value ◽  
Frequency Probability ◽  
The Impact ◽  
Epidemiological Situation ◽  
Socio Economic Factors

Relevance. The worldwide spread of a new infection SARS-CoV-2 makes relevant the analysis of the socio-economic factors that make modern civilization vulnerable to previously unknown diseases. In this regard, the development of mathematical models describing the spread of pandemics like COVID-19 and the identification of socio-economic factors affecting the epidemiological situation in regions is an important research task. Research objective. This study seeks to develop a mathematical model describing the spread of COVID-19, thus enabling the analysis of the main characteristics of the spread of the disease and assessment of the impact of various socio-economic factors. Data and methods. The study relies on the official statistical data on the pandemic presented on coronavirus sites in Russia and other countries, Yandex DataLens dataset service, as well as data from the Federal State Statistics Service. The data were analyzed by using a correlation analysis of COVID-19 incidence parameters and socio-economic characteristics of regions; multivariate regression – to determine the parameters of the probabilistic mathematical model of the spread of the pandemic proposed by the authors; clustering – to group the regions with similar incidence characteristics and exclude the regions with abnormal parameters from the analysis. Results. A mathematical model of the spread of the COVID-19 pandemic is proposed. The parameters of this model are determined on the basis of official statistics on morbidity, in particular the frequency (probability) of infections, the reliability of the disease detection, the probability density of the disease duration, and its average value. Based on the specificity of COVID-19, Russia regions are clustered according to disease-related characteristics. For clusters that include regions with typical disease-related characteristics, a correlation analysis of the relationship between the number of cases and the rate of infection ( with the socio-economic characteristics of the region is carried out. The most significant factors associated with the parameters of the pandemic are identified. Conclusions. The proposed mathematical model of the pandemic and the established correlations between the parameters of the epidemiological situation and the socio-economic characteristics of the regions can be used to make informed decisions regarding the key risk factors and their impact on the course of the pandemic.

scholarly journals Socio-economic Factors Influencing the Development of Renewable Energy Production Sector in Poland

2021 ◽  
Vol 24 (1) ◽  
pp. 38-54
Author(s):  
Tadeusz A. Grzeszczyk ◽  
Waldemar Izdebski ◽  
Michał Izdebski ◽  
Tadeusz Waściński
Keyword(s):  
Renewable Energy ◽  
Energy Production ◽  
Hard Coal ◽  
Economic Factors ◽  
Eu Law ◽  
Factors Influencing ◽  
Level Ii ◽  
Renewable Energy Production ◽  
The Impact ◽  
Socio Economic Factors

Poland is not one of the leaders in the use of renewable energy sources (RES), and most energy is still produced using hard coal and lignite. Therefore, there are noteworthy emissions of air pollution (including ashes and greenhouse gases), and the Polish energy sector is characterized by a substantial degree of carbonization, which, as a result, threatens to expressively increase the costs of electricity production, leading to financial penalties imposed by the EU. The aim of this paper is to analyze socio-economic factors influencing the development of the RES sector in Poland. According to this aim, expert research was carried out, in which the factors influencing development potential of RES were assessed at two levels (level II – 5 factors, level III – 15 factors) according to the factor tree analysis. Based on the analysis of the level II factors, it can be concluded that the development of the RES sector in Poland will depend to a decisive extent on factors such as: EU decisions and Polish legislation affecting the development of the RES sector in Poland, prices and availability of conventional energy carriers. Other two factors – regional policy on ecology and ecological awareness in Poland – have so far little impact on the development of this sector in the state. The analysis of the level III factors shows that the greatest impact on the development of the RES sector in Poland is the influence of European lobbying of manufacturers of machinery and equipment for renewable energy production on EU law, the impact of Polish lobbying of conventional energy producers on Polish law in the production of renewable energy and the influence of European lobbying of renewable energy producers into EU law.

scholarly journals Menentukan Nilai Penggantian Wajar Lahan Terdampak Pekerjaan Reaktifasi Jalur Kereta Api Trase Muaro Logas, Kabupaten Sijunjung, Provinsi Sumatera Barat

2019 ◽  
Vol 17 (1) ◽  
pp. 46-55
Author(s):  
Hasta Herlan Asymar
Keyword(s):  
Local Government ◽  
Vulnerable Groups ◽  
Economic Factors ◽  
The Public ◽  
Railway Line ◽  
The Poor ◽  
Reform Plan ◽  
The Social ◽  
The Impact ◽  
Socio Economic Factors

Abstract  – The calculation of the value of the Reasonable Land Turnover Terdamapak Job Reaktifasi railway line for arbitration was Muaro Logas was part of the study of the action of liberation/land and buildings for the reform plan of the reaktifasi railway line between Muaro-Logas is part of the planning of the reactivation railway line. This study analyzes regulations and policies, perceived an inventory and survey/census by identifying the affected community land procurement, with regard to the characteristics and the types of harm experienced, agreement agreement between the local government, the province and the Center in funding the acquisition of land; analyze optimum land procurement and analyse livelihood for the population affected by socio-economic factors, analyzing the parameters with the social, cultural, and economic related to population, the impact of the procurement of land and influence implementation of the work against the poor, residents of the tribal minorities, alienated, and other vulnerable groups, including women, as well as the institutional framework in planning the liberation of land and the settlements back including duties and responsibilities each institution. In the calculation of the Reasonable Replacement Value using Standar Penilaian Indonesia306 (SPI 306) about the assessment of the provision of Land for development for the benefit of the public

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