A Novel Two-Phase Approach to Computing a Regional Social Progress Index

Vincent Charles*, Tatiana Gherman, Ioannis Tsolas

*Corresponding author for this work

Research output: Contribution to Book/Report typesChapter

Abstract

In recent decades, concerns have emerged regarding the fact that standard macro-economic statistics (such as gross domestic product) do not provide a sufficiently detailed and accu- rate picture of societal progress and wellbeing and of people’s true quality of life. This has further translated into concerns regarding the design of related public policies and whether these actually have the intended impact in practice. One of the first steps in bridging the gap between wellbeing metrics and policy intervention is the developement of improved wellbeing measures. The calculation of a regional Social Progress Index (SPI) has been on the policymakers’ agenda for quite some time, as it is used to assist in the proposal of strategies that would create the conditions for all individuals in a society to reach their full potential, enhancing and sustaining the quality of their lives, while reducing regional inequalities. In this manuscript, we show a novel way to calculate a regional SPI under a two-phase approach. In the first phase, we aggregate the item-level information into sub-factor-level indices and the sub-factor-level indices into a factor-level index using an Objective General Index (OGI); in the second phase, we use the factor-level indices to obtain the regional SPI through a pure data envelopment analysis (DEA) approach. We further apply the method developed to analyse a single period of social progress in Peru. The manuscript is a contribution to the practical measurement of social progress.
Original languageEnglish
Title of host publicationAdvances in Efficiency and Productivity II
PublisherSpringer
Number of pages20
Publication statusAccepted/In press - 2 Sep 2019

Publication series

NameInternational Series in Operations Research and Management Sciences
PublisherSpringer

Fingerprint

quality of life
data envelopment analysis
index
macroeconomics
Gross Domestic Product
policy
calculation
rate
method
statistics
society
public

Keywords

  • Data Envelopment Analysis
  • Objective General Index
  • Social Progress Index

Cite this

Charles, V., Gherman, T., & Tsolas, I. (Accepted/In press). A Novel Two-Phase Approach to Computing a Regional Social Progress Index. In Advances in Efficiency and Productivity II (International Series in Operations Research and Management Sciences). Springer.
Charles, Vincent ; Gherman, Tatiana ; Tsolas, Ioannis. / A Novel Two-Phase Approach to Computing a Regional Social Progress Index. Advances in Efficiency and Productivity II. Springer, 2019. (International Series in Operations Research and Management Sciences).
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Charles, V, Gherman, T & Tsolas, I 2019, A Novel Two-Phase Approach to Computing a Regional Social Progress Index. in Advances in Efficiency and Productivity II. International Series in Operations Research and Management Sciences, Springer.

A Novel Two-Phase Approach to Computing a Regional Social Progress Index. / Charles, Vincent; Gherman, Tatiana; Tsolas, Ioannis.

Advances in Efficiency and Productivity II. Springer, 2019. (International Series in Operations Research and Management Sciences).

Research output: Contribution to Book/Report typesChapter

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AU - Gherman, Tatiana

AU - Tsolas, Ioannis

PY - 2019/9/2

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N2 - In recent decades, concerns have emerged regarding the fact that standard macro-economic statistics (such as gross domestic product) do not provide a sufficiently detailed and accu- rate picture of societal progress and wellbeing and of people’s true quality of life. This has further translated into concerns regarding the design of related public policies and whether these actually have the intended impact in practice. One of the first steps in bridging the gap between wellbeing metrics and policy intervention is the developement of improved wellbeing measures. The calculation of a regional Social Progress Index (SPI) has been on the policymakers’ agenda for quite some time, as it is used to assist in the proposal of strategies that would create the conditions for all individuals in a society to reach their full potential, enhancing and sustaining the quality of their lives, while reducing regional inequalities. In this manuscript, we show a novel way to calculate a regional SPI under a two-phase approach. In the first phase, we aggregate the item-level information into sub-factor-level indices and the sub-factor-level indices into a factor-level index using an Objective General Index (OGI); in the second phase, we use the factor-level indices to obtain the regional SPI through a pure data envelopment analysis (DEA) approach. We further apply the method developed to analyse a single period of social progress in Peru. The manuscript is a contribution to the practical measurement of social progress.

AB - In recent decades, concerns have emerged regarding the fact that standard macro-economic statistics (such as gross domestic product) do not provide a sufficiently detailed and accu- rate picture of societal progress and wellbeing and of people’s true quality of life. This has further translated into concerns regarding the design of related public policies and whether these actually have the intended impact in practice. One of the first steps in bridging the gap between wellbeing metrics and policy intervention is the developement of improved wellbeing measures. The calculation of a regional Social Progress Index (SPI) has been on the policymakers’ agenda for quite some time, as it is used to assist in the proposal of strategies that would create the conditions for all individuals in a society to reach their full potential, enhancing and sustaining the quality of their lives, while reducing regional inequalities. In this manuscript, we show a novel way to calculate a regional SPI under a two-phase approach. In the first phase, we aggregate the item-level information into sub-factor-level indices and the sub-factor-level indices into a factor-level index using an Objective General Index (OGI); in the second phase, we use the factor-level indices to obtain the regional SPI through a pure data envelopment analysis (DEA) approach. We further apply the method developed to analyse a single period of social progress in Peru. The manuscript is a contribution to the practical measurement of social progress.

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Charles V, Gherman T, Tsolas I. A Novel Two-Phase Approach to Computing a Regional Social Progress Index. In Advances in Efficiency and Productivity II. Springer. 2019. (International Series in Operations Research and Management Sciences).