This atlas presents a comparative analysis of the distribution of human potential worldwideamidst increasing differentiation among countries and regions. It includes cartograms reflecting information on 105 indicators across various areas such as geography, demography, economics, finance, politics, equality, education and science, health, culture, mobility and environment. The underlying research allows to identify key trends in the distribution of human potential among countries, as well as the significance of the «neighborhood effect» in spatial differentiation of human development. For this purpose, methods of spatial econometrics and geo-information modelling are employed, using the QGIS and GeoDA geoprocessing packages and the R programming language. The book provides a systematic view of the uneven socio-economic and political development and reveals both the specifics of countries and regions of the world and common patterns among them. For a wide range of specialists in social geography, social sciences, and humanities, as well as experts, analysts, and researchers interested in spatial patterns of human development.
Table of Contents
PREFACE 9
1. RESEARCH METHODOLOGY 11
2. DEMOGRAPHICS . 31
2.1. Population density
2.2. Urbanization
2.3. Population growth
2.4. Infant mortality
2.5. Life expectancy
2.6. Young population
2.7. Elderly population
2.8. Female population
2.9. Marriage
2.10. Refugees
2.11. Multifactor analysis of the “Demographics” section indicators
2.12. Spatial factor for the “Demographics” section indicators
3. ECONOMY 83
3.1. GDP (PPP) per capita
3.2. Agriculture
3.3. Industry
3.4. Medium- and hi-tech industries
3.5. Rate of gross accumulation
3.6. Services sector
3.7. Imports
3.8. Exports
3.9. Unused export potential
3.10. Regional trade agreements
3.11. Multifactor analysis of the “Economy” section indicators
3.12. Spatial factor and “Economy” section indicators
4. FINANCES . 135
4.1. Tax revenues
4.2. Budget deficit
4.3. Sovereign debt
4.4. Bank deposits
4.5. Short-term consumer loans
4.6. Loans to domestic companies
4.7. Foreign assets
4.8. Inward FDI debt stocks
4.9. FDI inflows
4.10. Royalties to foreign copyright holders
4.11. Multifactor analysis of the “Finance” section indicators
4.12. Spatial factor and “Finance” section indicators
5. POLITICS . 185
5.1. Institutional foundations of democracy
5.2. Voter turnout
5.3. Women in politics
5.4. Public organizations
5.5. Corruption
5.6. IMF voting power
5.7. Diplomatic missions
5.8. Passport power
5.9. Conflictogenity
5.10. Military spending
5.11. Multifactor analysis of the “Politics” section indicators
5.12. Spatial factor and “Politics” section indicators
6. EQUALITY . 240
6.1. Poverty level
6.2. Economic inequality
6.3. Highly wealthy population
6.4. Unemployment
6.5. Female unemployment
6.6. Female labour
6.7. Maternal mortality
6.8. Gender parity at school
6.9. Hospital beds
6.10. Access to electricity
6.11. Multifactor analysis of the “Equality” section indicators
6.12. Spatial factor and “Equality” section indicators
7. EDUCATION AND SCIENCE . 291
7.1. Primary education enrolment
7.2. Secondary education enrolment
7.3. Tertiary education enrolment
7.4. Quality of school education
7.5. Years at school
7.6. Primary school dropouts
7.7. Education spending
7.8. Number of researchers
7.9. R&D spending
7.10. Publication activity
7.11. Multifactor analysis of the “Education and Science” section indicators
7.12. Spatial factor and the “Education and Science” section indicators
8. HEALTHCARE . 343
8.1. Healthcare spending
8.2. Number of doctors
8.3. Pharmaceutical exports
8.4. Hepatitis B vaccinations
8.5. Antiretroviral therapy (ART)
8.6. HIV incidence
8.7. COVID-19 mortality
8.8. Tuberculosis morbidity
8.9. Alcohol consumption
8.10. Suicide rate
8.11. Multifactor analysis of “Healthcare” section indicators
8.12. Spatial factor and “Healthcare” section indicators
9. CULTURE . 393
9.1. Cultural solidarity
9.2. Ethnic fractionalization
9.3. Ethnic minorities
9.4. Linguistic diversity
9.5. Religious diversity
9.6. Cultural exports
9.7. Bioethical freedom
9.8. Film industry
9.9. Literacy
9.10. Number of libraries
9.11. Multifactor analysis of the “Culture” section indicators
9.12. Spatial factor for the “Culture” section indicators
10. MOBILITY 445
10.1. Capitalness
10.2. Money transfers
10.3. Inbound tourism
10.4. Mobile subscribers
10.5. Internet users
10.6. Railway network
10.7. Motorways
10.8. Petrol prices
10.9. Load on freight ports
10.10. Air passengers
10.11. Multifactor analysis of the “Mobility” section indicators
10.12. Spatial factor for the “Mobility” section indicators
11. ECOLOGY . 495
11.1. Agricultural land
11.2. Forest areas
11.3. Conservation areas
11.4. Depletion of natural resources
11.5. Fresh water
11.6. Renewable energy
11.7. Availability of electricity
11.8. CO2 emissions
11.9. Particulate air pollution
11.10. Light pollution
11.11. Multifactor analysis of the “Ecology” section indicators
11.12. Spatial factor for the “Ecology” section indicators
12. SPATIAL CLUSTER ANALYSIS
13. MULTIDIMENSIONAL SCALING
RESEARCH TEAM
