The Spatial Dimension of Dual Labour Market in Korea

2017 ◽  
Vol 51 (2) ◽  
pp. 63-94
Author(s):  
Seok Hyeon Choi ◽  
Byung Ho Lee
Keyword(s):  
Labour Market ◽  
Spatial Dimension

scholarly journals Spatial Analysis of the Labour Market by Using Econometric Tools. The Case of Lower Silesia Region (Dolnośląskie voivodship)

2013 ◽  
Vol 15 (4) ◽  
pp. 147-160
Author(s):  
Elżbieta Litwińska
Keyword(s):  
Spatial Analysis ◽  
Regression Model ◽  
Spatial Autocorrelation ◽  
Labour Market ◽  
Spatial Regression ◽  
Spatial Dimension ◽  
Data Set ◽  
Spatial Regression Model ◽  
The Relationship ◽  
Lower Silesia

This paper presents the application of econometric techniques to examine the labour market in Lower Silesia. First the analysis was performed on a data set for variables connected with labour market recorded in poviats (NUTS 4). In order to determine the existence of spatial autocorrelation Moran’s statistics I was calculated. Then the spatial regression model was used to describe the relationship between the rate of unemployment and other variables. Next, LISA cluster maps were generated for units at NUTS 5 level. The results indicate the spatial dimension of the unemployment and its tendency to creating concentrations.  

scholarly journals Social Class Inequalities in Graduates’ Labour Market Outcomes: The Role of Spatial Job Opportunities

2018 ◽  
Vol 7 (10) ◽  
pp. 201 ◽  
Author(s):  
Adriana Duta ◽  
Cristina Iannelli
Keyword(s):  
Social Class ◽  
Labour Market ◽  
Social Inequalities ◽  
Geographical Area ◽  
Spatial Dimension ◽  
Market Outcomes ◽  
Occupational Outcomes ◽  
Logistic Regression Models ◽  
Job Opportunities ◽  
Labour Market Outcomes

This paper provides new important evidence on the spatial dimension of social class inequalities in graduates’ labour market outcomes, an aspect largely overlooked within the existing literature. Using data from the HESA Destinations of Leavers from Higher Education Early and Longitudinal Survey (DLHE) for the 2008/09 graduate cohort and applying multilevel logistic regression models, we investigate whether and the extent to which social class inequalities in graduates’ occupational outcomes vary depending on the job opportunities in the geographical area where they find employment. By examining different macro-level indicators, we find wider social inequalities by parental social class in areas with fewer opportunities in high professional and managerial occupations and smaller inequalities in areas with more opportunities. Interestingly, this pattern applies only to graduates who moved away from their place of origin. We interpret this finding as the result of selective migration, that is, areas with more opportunities attract the better-qualified graduates irrespective of their social origin. Finally, graduates’ HE experiences—in particular, their field of study—and sector of employment explain most of the social class gap in areas with fewer job opportunities.

Mismatch-Arbeitslosigkeit auf dem deutschen Arbeitsmarkt

2003 ◽  
Vol 47 (1) ◽  
Author(s):  
Michael Franck
Keyword(s):  
Labour Market ◽  
Unemployment Rate ◽  
Spatial Dimension ◽  
Labour Demand ◽  
Employment Service ◽  
Demand And Supply ◽  
High Unemployment ◽  
High Unemployment Rate ◽  
Equal Importance ◽  
German Regions

Regional spread of mismatch unemployment on the German labour market and conclusions for policies of the Federal Employment Service. A lot of labour market researchers argue that the main problem behind the high unemployment rate in Germany is the mismatch between labour demand and supply. This article, however, shows that such a thesis ignores the spatial dimension and can only be verified for some of the German regions. Labour demand deficiency is at least of equal importance in many other regions. The article identifies which problem is dominant in which region and explains what kind of labour market policies should be therefore preferred respectively.

Development of entrepreneurship in valuable natural rural areas

2020 ◽  
pp. 753-770
Author(s):  
Grzegorz Slusarza ◽  
Marek Cierpial-Wolan
Keyword(s):  
Sustainable Development ◽  
Labour Market ◽  
Rural Areas ◽  
Border Region ◽  
Negative Consequences ◽  
Nature Protection ◽  
Synthetic Indicators ◽  
Linkage Method ◽  
Endogenous Potential ◽  
Urbanized Region

The values of the natural environment in the subject literature are commonly indicated as an asset conducive to development shaping the competitiveness of areas with such values. The paper attempts to assess the use of endogenous potential of such areas in shaping the multifunctional, sustainable development of rural areas that have such qualities. In particular, the aim was to check to what extent the sme sector, dominating in the economic structure of rural areas, solves the key problem of labour market imbalance and population migration in environmentally valuable areas. The area of detailed research is Podkarpacie, the Polish region considered as a peripheral, border region, the least urbanized region with the highest share of areas covered by various forms of nature protection and forestation, with one of the lowest gdp per capita indicator in the country. For the purpose of implementing the research assumptions, a taxonomic unit (using the complete linkage method) consisting of powiats with the highest concentration of features characteristic for rural areas of high natural values was separated. Synthetic indicators calculated on the basis of the Hellwig taxonomic development pattern method and a positional method using Weber's median were used to assess the diversity of entrepreneurship level. The research confirmed that the non-agricultural economic activity sector is less developed in areas of high natural value. Despite positive developments in the enterprise sector, their potential is too weak an economic base for addressing unsustainable labour market problems, as evidenced by high unemployment and a high negative migration balance. This limits the use of the endogenous potential of these areas and is not conducive to the concept of multifunctional, sustainable development. Migration poses a threat to the depopulation of these areas with all the negative consequences associated with such processes. This is a challenge for the studied areas and regional policy.

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