Back to Search
Start Over
Measuring Central and Eastern Europe’s Socio-Economic Development Using Time Lags
- Source :
- Social Indicators Research, Social Indicators Research, 2015
- Publisher :
- Springer Nature
-
Abstract
- This paper applies the ‘time lag’ method to a set of social and economic indicators, examining the development of Central and Eastern Europe since the first world war. Originally used to assess technology diffusion, this method allows comparison of levels of development between states and through a long period of time. It presents how many years have elapsed between achieving a certain level of development between countries. The results show that the countries of Central and Eastern Europe have only narrowly converged with a set of 23 highly-developed ‘benchmark’ states. Development in monetary terms (gross domestic product per capita) is the indicator where this region lags most. Employment structure, life expectancy or infant mortality show much smaller lags. Communist states were closest to the West in the 1960s–early 1970s and struggled thereafter. They are still mostly lagging more today than at their peak before transformation despite the progress achieved in absolute terms after the fall of centrally-planned economy. Electronic supplementary material The online version of this article (doi:10.1007/s11205-015-0991-9) contains supplementary material, which is available to authorized users.
- Subjects :
- Health indicators
Communist state
Sociology and Political Science
Social development
0211 other engineering and technologies
Social Sciences(all)
Socioeconomic development
Economic indicators
02 engineering and technology
Article
Gross domestic product
Time lags
Arts and Humanities (miscellaneous)
Economic indicator
0502 economics and business
Development economics
Developmental and Educational Psychology
Per capita
Economics
050207 economics
Lagging
05 social sciences
General Social Sciences
Communist states
021107 urban & regional planning
Health indicator
Life expectancy
Subjects
Details
- Language :
- English
- ISSN :
- 03038300
- Volume :
- 127
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Social Indicators Research
- Accession number :
- edsair.doi.dedup.....9d7cde7184c22af67fae01670b18cd4e
- Full Text :
- https://doi.org/10.1007/s11205-015-0991-9