SlideShare una empresa de Scribd logo
1 de 14
Towards Productive Welfare?
   A Comparative Analysis of Welfare State
        Effort in 23 OECD Countries


        John Hudson & Stefan Kühner
               University of York, UK



      Australian Social Policy Conference 2007
Productive Welfare
• Challenges: Globalisation, Knowledge Economy

• Response: Investment in Human Capital?
   – Active Labour Market Policies
   – Education


• Variously:
   –   A new type of welfare regime
   –   A reorientation of welfare state
   –   Neglected dimension of welfare state modelling
   –   Incompatible with strong social protection
   –   Compatible with strong social protection
Welfare State Modelling
• Esping-Andersen dominates
  – Three Worlds of Welfare
  – Focus on social rights
  – Decommodification Index (+)

• Protective not Productive Dimensions

• Distinct & Differing Dimensions?
Multi-Dimensionality
•   How best to capture the welfare state?

•   Dependant variable problem:
    – How to capture the multidimensional character of welfare states?

•   Decommodification index:
    – One dimensional?
    – Too narrow?

•   Means mask important differences → ‘compensation effects’:
    – Standardised aggregated indices, factor analysis, cluster analysis

•   Solution: Fuzzy Set Ideal Type Analysis
Fuzzy Sets
• Cases have varying membership of sets
  – 0 Fully Out
  – 1 Fully In


• Boundaries of sets drawn
  conceptually
  – Not all variation matters
  – Reflect substantive
    knowledge
Fuzzy Set Ideal Type Analysis
• Combines n-fuzzy sets to categorise ideal types

• Number of types determined
  conceptually                                     Generous

  – 2k property spaces




                                Redistributive
                                                 GR     ~GR



• Establishes membership                         G~R   ~G~R

  of types via Boolean logic
Productive-Protective Types
• Four Fuzzy Sets:
  – Protective:
     • Income Protection
     • Employment Protection
  – Productive:
     • Investment in Education
     • Investment in Labour Market Training
Operationalising Our Sets
Productive:
   •   Education spending as share of public social & education spending

   •   Training component of ALMP budgets as share of total ALMP budgets


Protective:
   •   Net replacement rates for single, long-term unemployed

   •   OECD Employment Policy Legislation (EPL 2) Index


Sample:
   •   23 Countries

   •   1994, 1998, 2003
Productive-Protective Types
                     Productive Protective




Productive-Plus                                Protective-Plus



                  Weak Productive Protective
  Productive                                     Protective




Weak Productive                                Weak Protective


                            Weak
Findings: 2003
                   Productive-Protective
                          Finland

Productive-Plus                             Protective-Plus
   Denmark                                     Sweden
    Norway                                    Netherlands
                                                Austria
                                                Finland

  Productive      Weak-Product-Protective     Protective
                          Greece                Belgium
 United States
                                               Germany
                          Ireland
  New Zealand
                        Switzerland
                           Italy
Weak-Productive                             Weak-Protective
                          Korea
    Canada                                       Spain
                                                France
                                            Czech Republic
                                                Japan
                                               Portugal
                          Weak
                                            United Kingdom
                         Australia
                      United Kingdom
Findings: Time-Series

                             1994   1998        2003
Productive-Protective
Productive-Plus                                    NOR

                                                   NZ
Productive                                         USA

Weak-Productive
                                                   SWE
Protective-Plus                                    NET
                                                   AUT

Weak-Productive-Protective
                                                   SWI
Protective                                         BEL

Weak-Protective                                    SPA


Weak
Findings: Time-Series

                             1994   1998        2003
Productive-Protective                              FIN


Productive-Plus                                    DEN


Productive
Weak-Productive
Protective-Plus
                                                  GRE
Weak-Productive-Protective                        ITA


Protective
Weak-Protective
Weak
Findings: Time-Series

                             1994   1998        2003
Productive-Protective
Productive-Plus
Productive
Weak-Productive                                   CAN


Protective-Plus
Weak-Productive-Protective                        KOR
                                                  IRE
                                                  GER
Protective
                                                  CZR
Weak-Protective                                   JAP POR
                                                  FRA
                                                  UK
Weak                                              AUS
Conclusions
• Utility of fuzzy set ideal type analysis

• East Asian states not the exemplars of productivism

• Protective & Productive dimensions can be combined

• Finland and the USA alternate models?

• Little evidence of general shift towards productivism

Más contenido relacionado

Más de University of York

Más de University of York (9)

Comparative Week 8
Comparative Week 8Comparative Week 8
Comparative Week 8
 
08 Wk 7 Lecture
08    Wk 7   Lecture08    Wk 7   Lecture
08 Wk 7 Lecture
 
Comparative Social Structures and Welfare Week 4 Lecture
Comparative Social Structures and Welfare Week 4 LectureComparative Social Structures and Welfare Week 4 Lecture
Comparative Social Structures and Welfare Week 4 Lecture
 
CSSW - Week 2
CSSW - Week 2CSSW - Week 2
CSSW - Week 2
 
STSP Week3
STSP Week3STSP Week3
STSP Week3
 
Week2 (STSP)
Week2 (STSP)Week2 (STSP)
Week2 (STSP)
 
Analysing Welfare Policy - Lecture 5
Analysing Welfare Policy - Lecture 5Analysing Welfare Policy - Lecture 5
Analysing Welfare Policy - Lecture 5
 
Social Policy Analysis - Political Economy of Welfare
Social Policy Analysis - Political Economy of WelfareSocial Policy Analysis - Political Economy of Welfare
Social Policy Analysis - Political Economy of Welfare
 
Analysing Welfare Policy - Week4
Analysing Welfare Policy - Week4Analysing Welfare Policy - Week4
Analysing Welfare Policy - Week4
 

Último

CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 

Último (20)

CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 

Analysis of Welfare State Effort in 23 OECD Countries Using Fuzzy Set Ideal Types

  • 1. Towards Productive Welfare? A Comparative Analysis of Welfare State Effort in 23 OECD Countries John Hudson & Stefan Kühner University of York, UK Australian Social Policy Conference 2007
  • 2. Productive Welfare • Challenges: Globalisation, Knowledge Economy • Response: Investment in Human Capital? – Active Labour Market Policies – Education • Variously: – A new type of welfare regime – A reorientation of welfare state – Neglected dimension of welfare state modelling – Incompatible with strong social protection – Compatible with strong social protection
  • 3. Welfare State Modelling • Esping-Andersen dominates – Three Worlds of Welfare – Focus on social rights – Decommodification Index (+) • Protective not Productive Dimensions • Distinct & Differing Dimensions?
  • 4. Multi-Dimensionality • How best to capture the welfare state? • Dependant variable problem: – How to capture the multidimensional character of welfare states? • Decommodification index: – One dimensional? – Too narrow? • Means mask important differences → ‘compensation effects’: – Standardised aggregated indices, factor analysis, cluster analysis • Solution: Fuzzy Set Ideal Type Analysis
  • 5. Fuzzy Sets • Cases have varying membership of sets – 0 Fully Out – 1 Fully In • Boundaries of sets drawn conceptually – Not all variation matters – Reflect substantive knowledge
  • 6. Fuzzy Set Ideal Type Analysis • Combines n-fuzzy sets to categorise ideal types • Number of types determined conceptually Generous – 2k property spaces Redistributive GR ~GR • Establishes membership G~R ~G~R of types via Boolean logic
  • 7. Productive-Protective Types • Four Fuzzy Sets: – Protective: • Income Protection • Employment Protection – Productive: • Investment in Education • Investment in Labour Market Training
  • 8. Operationalising Our Sets Productive: • Education spending as share of public social & education spending • Training component of ALMP budgets as share of total ALMP budgets Protective: • Net replacement rates for single, long-term unemployed • OECD Employment Policy Legislation (EPL 2) Index Sample: • 23 Countries • 1994, 1998, 2003
  • 9. Productive-Protective Types Productive Protective Productive-Plus Protective-Plus Weak Productive Protective Productive Protective Weak Productive Weak Protective Weak
  • 10. Findings: 2003 Productive-Protective Finland Productive-Plus Protective-Plus Denmark Sweden Norway Netherlands Austria Finland Productive Weak-Product-Protective Protective Greece Belgium United States Germany Ireland New Zealand Switzerland Italy Weak-Productive Weak-Protective Korea Canada Spain France Czech Republic Japan Portugal Weak United Kingdom Australia United Kingdom
  • 11. Findings: Time-Series 1994 1998 2003 Productive-Protective Productive-Plus NOR NZ Productive USA Weak-Productive SWE Protective-Plus NET AUT Weak-Productive-Protective SWI Protective BEL Weak-Protective SPA Weak
  • 12. Findings: Time-Series 1994 1998 2003 Productive-Protective FIN Productive-Plus DEN Productive Weak-Productive Protective-Plus GRE Weak-Productive-Protective ITA Protective Weak-Protective Weak
  • 13. Findings: Time-Series 1994 1998 2003 Productive-Protective Productive-Plus Productive Weak-Productive CAN Protective-Plus Weak-Productive-Protective KOR IRE GER Protective CZR Weak-Protective JAP POR FRA UK Weak AUS
  • 14. Conclusions • Utility of fuzzy set ideal type analysis • East Asian states not the exemplars of productivism • Protective & Productive dimensions can be combined • Finland and the USA alternate models? • Little evidence of general shift towards productivism