Integral Criterion of the Influence of Social, Economic and Environmental Factors on the Regional Demographic Processes
Bibliographic Data
| ID | 5968080 |
|---|---|
| Authors | M M Burkin, Mark Burkin (Petrozavodsk State University), Ekaterina V Molchanova (0000-0003-4717-5708, Russian Academy of Sciences), Marina M Kruchek (0000-0003-0405-7365, Petrozavodsk State University) |
| Year | 2016 |
| Volume | 23 |
| Issue | 6 |
| Pages | 39-46 |
| Publication date | 2016-06-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Ekologiya Cheloveka (Human Ecology (JOURNAL) |
| Journal identifiers | ISSN: 1728-0869 • E-ISSN: 2949-1444 |
| Publisher | ECO-Vector LLC (PUBLISHER • RU) |
| DOI | 10.33396/1728-0869-2016-6-39-46 |
| OpenAlex | W2965105193 |
| Language | EN |
| Citations received | 2 |
The aim of the article is to estimate factors which influence the main demographic indicators in the regions of Russia (life expectancy, mortality, migration, stability of family and marriage relations). The research was done by means of mathematical methods and models (regression analysis of panel data). Federal State Statistic Service data "Regions of Russia" and "Health care in Russia" were used as database. Indicators of 80 Russian subjects (without autonomous areas) in the period 2009-2013 were presented in the form of the database which included the following blocks: medico-demographic situation, level of economic development of the territory and wellbeing of the population, development of social infrastructure, ecological and climate conditions, scientific researches and innovations. We used about 70 indicators characterizing various aspects of regional development. It is found out that regressive model with fixed effects controlling for panel data allowed to receive relevant model that could be used for estimation of the main demographic indicators of the Russian regions depending on social and economic development and social stress factors. Results of an integral criterion allow to reveal the ways to preserve human potential and improve the population life quality on the regional level
Econometrics · Economic growth · Economics · Estimation · Geography · Life expectancy · Panel data · Population · Regional science · Regression analysis · Sociology · Statistic · Statistics · Demography · Healthcare Systems and Public Health · Mathematics · Regional Socio-Economic Development Trends · Socioeconomic and Demographic Analysis
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2020 - 2021 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |