Evaluating Active Labour Market Policies in Türkiye by Regions via Multidimensional Scaling and Clustering Analysis

Unemployment causes significant problems in society and governments develop different policies to mitigate unemployment. Active labour market policies (ALMP), which are among such policies, constitute crucial instruments for the re-adaptation of the unemployed to the labour markets. However, signifi...

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Main Authors: Özlem Demir, Batuhan Ersöz
Format: Article
Language:English
Published: Sivas Cumhuriyet Üniversitesi 2025-01-01
Series:Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi
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Online Access:https://dergipark.org.tr/tr/download/article-file/4039164
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author Özlem Demir
Batuhan Ersöz
author_facet Özlem Demir
Batuhan Ersöz
author_sort Özlem Demir
collection DOAJ
description Unemployment causes significant problems in society and governments develop different policies to mitigate unemployment. Active labour market policies (ALMP), which are among such policies, constitute crucial instruments for the re-adaptation of the unemployed to the labour markets. However, significant social groups and regional differences occupy an essential role while formulating the programmes. Moreover, economic, cultural, and political factors are also effective in labour force participation rates. Therefore, regarding the participation of social groups such as women, youth, and disabled individuals in employment, ALMP represents a policy instrument that enables a connection between the needs of the labour market and the demands of these groups. The factors affecting the structural characteristics of employment are also applies to regional differences, and many factors ranging from economic development levels of regions to cultural differences have an impact on participation in ALMP programmes. In this study, regional similarities and differences of female, male, and total participation in ALMP programmes in Türkiye according to NUTS-I classification are examined using multidimensional scaling and K-means clustering analysis. Given the importance of the differences between women and men in participation levels in employment, relevant analyses have also been carried out focusing on gender differentiation at the regional level. According to the results of the study, it is observed that Southeast Anatolia (TRC) is significantly separated from other regions in terms of total participation rates. On the other hand, when participation rates are analysed based on unemployment, different regional clusters are encountered and the West Black Sea Region (TR8) is differentiated from other regions. Moreover, different clustering patterns are also observed at the regional scale in the participation of women and men in the programmes.
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spelling doaj-art-713bf36dccbd422f95c75d388c1684572025-02-02T14:34:25ZengSivas Cumhuriyet ÜniversitesiCumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi1303-12792025-01-01261173110.37880/cumuiibf.15090552057Evaluating Active Labour Market Policies in Türkiye by Regions via Multidimensional Scaling and Clustering AnalysisÖzlem Demir0https://orcid.org/0000-0002-8974-3825Batuhan Ersöz1https://orcid.org/0000-0002-1094-8220TOKAT GAZİOSMANPAŞA ÜNİVERSİTESİ, SAĞLIK BİLİMLERİ FAKÜLTESİTOKAT GAZİOSMANPAŞA ÜNİVERSİTESİ, SAĞLIK BİLİMLERİ FAKÜLTESİUnemployment causes significant problems in society and governments develop different policies to mitigate unemployment. Active labour market policies (ALMP), which are among such policies, constitute crucial instruments for the re-adaptation of the unemployed to the labour markets. However, significant social groups and regional differences occupy an essential role while formulating the programmes. Moreover, economic, cultural, and political factors are also effective in labour force participation rates. Therefore, regarding the participation of social groups such as women, youth, and disabled individuals in employment, ALMP represents a policy instrument that enables a connection between the needs of the labour market and the demands of these groups. The factors affecting the structural characteristics of employment are also applies to regional differences, and many factors ranging from economic development levels of regions to cultural differences have an impact on participation in ALMP programmes. In this study, regional similarities and differences of female, male, and total participation in ALMP programmes in Türkiye according to NUTS-I classification are examined using multidimensional scaling and K-means clustering analysis. Given the importance of the differences between women and men in participation levels in employment, relevant analyses have also been carried out focusing on gender differentiation at the regional level. According to the results of the study, it is observed that Southeast Anatolia (TRC) is significantly separated from other regions in terms of total participation rates. On the other hand, when participation rates are analysed based on unemployment, different regional clusters are encountered and the West Black Sea Region (TR8) is differentiated from other regions. Moreover, different clustering patterns are also observed at the regional scale in the participation of women and men in the programmes.https://dergipark.org.tr/tr/download/article-file/4039164aktif i̇şgücü piyasası programlarıi̇şsizlikçok boyutlu ölçekleme analiziactive labour market policiesunemploymentmultidimensional scaling analysis
spellingShingle Özlem Demir
Batuhan Ersöz
Evaluating Active Labour Market Policies in Türkiye by Regions via Multidimensional Scaling and Clustering Analysis
Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi
aktif i̇şgücü piyasası programları
i̇şsizlik
çok boyutlu ölçekleme analizi
active labour market policies
unemployment
multidimensional scaling analysis
title Evaluating Active Labour Market Policies in Türkiye by Regions via Multidimensional Scaling and Clustering Analysis
title_full Evaluating Active Labour Market Policies in Türkiye by Regions via Multidimensional Scaling and Clustering Analysis
title_fullStr Evaluating Active Labour Market Policies in Türkiye by Regions via Multidimensional Scaling and Clustering Analysis
title_full_unstemmed Evaluating Active Labour Market Policies in Türkiye by Regions via Multidimensional Scaling and Clustering Analysis
title_short Evaluating Active Labour Market Policies in Türkiye by Regions via Multidimensional Scaling and Clustering Analysis
title_sort evaluating active labour market policies in turkiye by regions via multidimensional scaling and clustering analysis
topic aktif i̇şgücü piyasası programları
i̇şsizlik
çok boyutlu ölçekleme analizi
active labour market policies
unemployment
multidimensional scaling analysis
url https://dergipark.org.tr/tr/download/article-file/4039164
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AT batuhanersoz evaluatingactivelabourmarketpoliciesinturkiyebyregionsviamultidimensionalscalingandclusteringanalysis