Integrated Assessment of Socio-Economic Development of Rural Areas, Taking into Account Differences in Population Density

2020 ◽  
pp. 76-83
Author(s):  
N.N. Balashova ◽  
◽  
D.A. Korobeynikov ◽  
S.A. Popova ◽  
◽  
...  
Keyword(s):  
Sustainable Development ◽  
Economic Development ◽  
Population Density ◽  
Rural Areas ◽  
Rural Population ◽  
Integrated Assessment ◽  
Russian Regions ◽  
Socio Economic Development

Typologization of rural areas, taking into account differences in population density and level of socio-economic development, is necessary to identify “growth points” and strategic sustainability benchmarks. The method of integrated assessment of the level of socio-economic development of rural territories is proposed, according to which the grouping of Russian regions is carried out. Applying data on rural population density to the results of calculations allowed us to identify 12 typological groups, in the context of which unified recommendations on sustainable development of territories should be formed.

Practical Approaches to Higher Education

2018 ◽  
Author(s):  
Jane Kotzmann
Keyword(s):  
Higher Education ◽  
United States ◽  
Human Rights ◽  
Teaching And Learning ◽  
Real Life ◽  
Theoretical Models ◽  
The United States ◽  
Education Systems ◽  
Higher Education Systems ◽  
Human Rights Based Approach

This chapter explores the real-life operation of six higher education systems that align with the theoretical models identified in Chapter 2. Three states follow a largely market-based approach: Chile, England, and the United States. Three states follow a largely human rights-based approach: Finland, Iceland, and Sweden. The chapter describes each system in terms of how it aligns with the particular model before evaluating the system in relation to the signs and measures of successful higher education systems identified in Chapter 3. This chapter provides conclusions as to the relative likelihood of each approach facilitating the achievement of higher education teaching and learning purposes.

scholarly journals Educational inequalities in obesity: a multilevel analysis of survey data from cities in Latin America

2021 ◽  
pp. 1-9
Author(s):  
Mónica Mazariegos ◽  
Amy H Auchincloss ◽  
Ariela Braverman-Bronstein ◽  
María F Kroker-Lobos ◽  
Manuel Ramírez-Zea ◽  
...  
Keyword(s):  
Higher Education ◽  
Economic Development ◽  
Survey Data ◽  
Latin American ◽  
Effect Modification ◽  
University Education ◽  
Educational Inequalities ◽  
Obesity Prevalence ◽  
Socio Economic Development ◽  
American Cities

Abstract Objective: Using newly harmonised individual-level data on health and socio-economic environments in Latin American cities (from the Salud Urbana en América Latina (SALURBAL) study), we assessed the association between obesity and education levels and explored potential effect modification of this association by city-level socio-economic development. Design: This cross-sectional study used survey data collected between 2002 and 2017. Absolute and relative educational inequalities in obesity (BMI ≥ 30 kg/m2, derived from measured weight and height) were calculated first. Then, a two-level mixed-effects logistic regression was run to test for effect modification of the education–obesity association by city-level socio-economic development. All analyses were stratified by sex. Setting: One hundred seventy-six Latin American cities within eight countries (Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico and Peru). Participants: 53 186 adults aged >18 years old. Results: Among women, 25 % were living with obesity and obesity was negatively associated with educational level (higher education–lower obesity) and this pattern was consistent across city-level socio-economic development. Among men, 18 % were living with obesity and there was a positive association between education and obesity (higher education–higher obesity) for men living in cities with lower levels of development, whereas for those living in cities with higher levels of development, the pattern was inverted and university education was protective of obesity. Conclusions: Among women, education was protective of obesity regardless, whereas among men, it was only protective in cities with higher levels of development. These divergent results suggest the need for sex- and city-specific interventions to reduce obesity prevalence and inequalities.

Determining and evaluating the level of socio-economic risks for Russia to respond to ‘Grand Challenges’

2021 ◽  
Vol 17 (3) ◽  
pp. 443-469
Author(s):  
Nataliya V. KUZNETSOVA ◽  
Ekaterina V. KOCHEVA ◽  
Nikolai A. MATEV
Keyword(s):  
Economic Development ◽  
Risk Mitigation ◽  
Market Potential ◽  
Russian Regions ◽  
Economic Agents ◽  
Grand Challenges ◽  
Technological Gap ◽  
Socio Economic Development ◽  
Mitigation Methods ◽  
Economic Risks

Subject. The modern economic development strongly depend on a powerful regulator, such as grand challenges, which have become a critical barrier, requirement, level that should be attained. Considering the grand challenges, the country set up goals and tasks for the coming period and adjusts operations of economic agents. Therefore, it is necessary to assess the gap between the absolute and current market potential with reference to qualitative and quantitative indicators. The study is called to assess whether Russia is prepared for the existing and arising grand challenges. We also determine risk mitigation methods and the probability of negative scenarios. Objectives. We determine and evaluate the level of socio-economic risks for Russia to respond to the grand challenges. We also pinpoint key directions for the Russian regions to continue their socio-economic development in order to promote their further economic growth. Methods. The study presents the economic-mathematical modeling of the nexus among factors that determine socio-economic risks of the GRP dynamics to find their mitigation methods. In the study, the logit-model with dummy variables that attribute the regions to certain clusters. Results. We analyzed and classified risks of the Russian regions by 10 integral indicators. The article shows homogeneous regional zones exposed to similar socio-economic development risks. We also carry out the multivariate classification of the Russian regions by the risks assessed. As the findings show, the Russian regions strongly differ by socio-economic risks. The article spotlights priorities of the socio-economic development of the constituent entities of the Russian Federation. Conclusions and Relevance. As their key development vector, the Russian regions need to overcome the technological gap, mitigate the S&T potential risk and a drop in the innovative activity of the economy.

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