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Application of Social Policy Index (SPI) Amended in Three OECD Countries: Finland, Spain and Mexico

Author

Listed:
  • Jorge Garcés Ferrer

    (University of Valencia)

  • Francisco Ródenas Rigla

    (University of Valencia)

  • Carla Vidal Figueroa

    (University of Valencia
    Universidad de Concepción)

Abstract

Currently there are no comparative studies to measure on a global basis social policy as a government input. An alternative is the inclusion of various relevant indicators for social policy in a single index, which allows a statistical and comparative analysis of different countries. The United Nations in 2006 proposed a tool to measure social policies in different countries called Social Policy Index (SPI), which results are not yet known. The aim of this study was to determine the feasibility of measuring social policy based on their inputs and applying the Social Policy Index (SPI) in three countries with different welfare systems, establishing a retrospective comparison of the situation of social policies of each one considering the years 2005–2010. The results show consistency between the value obtained by the SPI and the socioeconomic and political context of each country, and their classification in different welfare regimes, so it is an index that could be used as a tool for measuring and comparing social policies.

Suggested Citation

  • Jorge Garcés Ferrer & Francisco Ródenas Rigla & Carla Vidal Figueroa, 2016. "Application of Social Policy Index (SPI) Amended in Three OECD Countries: Finland, Spain and Mexico," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 529-539, June.
    • Handle: RePEc:spr:soinre:v:127:y:2016:i:2:d:10.1007_s11205-015-0988-4
    DOI: 10.1007/s11205-015-0988-4
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    References listed on IDEAS

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    Cited by:

    1. Katharina Kunißen, 2019. "From Dependent to Independent Variable: A Critical Assessment of Operationalisations of ‘Welfare Stateness’ as Macro-Level Indicators in Multilevel Analyses," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 597-616, April.
    2. Youzhu Li & Rui He & Jinsi Liu & Chongguang Li & Jason Xiong, 2021. "Quantitative Evaluation of China’s Pork Industry Policy: A PMC Index Model Approach," Agriculture, MDPI, vol. 11(2), pages 1-21, January.
    3. Stacy, Brian & Tiehen, Laura & Marquardt, David, 2018. "Using a Policy Index To Capture Trends and Differences in State Administration of USDA's Supplemental Nutrition Assistance Program," Economic Research Report 276250, United States Department of Agriculture, Economic Research Service.
    4. Su Xie & Hang Xiong & Linmei Shang & Yong Bao, 2024. "Machine Learning-Facilitated Policy Intensity Analysis: A Proposed Procedure and Its Application," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 174(3), pages 881-904, September.

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