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Measuring development with inequality: How (should) aggregate indicators of development account for inequality?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F19%3A73596291" target="_blank" >RIV/61989592:15310/19:73596291 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0921800918307274" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0921800918307274</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ecolecon.2019.04.032" target="_blank" >10.1016/j.ecolecon.2019.04.032</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measuring development with inequality: How (should) aggregate indicators of development account for inequality?

  • Original language description

    The paper analyzes how inequality is accounted for in aggregate indicators of development and whether and how it should be used. The motivation behind the study stems from the renewed interest in inequality in academia, public discourse, and in global policy. First, we argue that inequality should be considered when constructing development indicators. The role of distribution in development is important both because people generally prefer lower inequality and inequality tends to have negative effects on development outcomes. Second, we analyze how ten selected development indicators account for inequality (in terms of justification, type of inequality, measure of inequality, and method of incorporation) and what the strengths and weaknesses of different approaches are. We found considerable diversity especially for inequality measures and methods of incorporation. As for the type of inequality, inequality of opportunities is considered marginally and overlapping inequalities not at all; increasing data availability opens the door for inclusion especially for the latter aspect. As most indicators suffer from insufficient methodological substantiation, we argue for increased clarity regarding why and how inequality is accounted for in development indicators. The analysis is complemented by a detailed review of treatment of inequality by the analyzed indicators (Annex).

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50704 - Environmental sciences (social aspects)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ECOLOGICAL ECONOMICS

  • ISSN

    0921-8009

  • e-ISSN

  • Volume of the periodical

    164

  • Issue of the periodical within the volume

    OCT

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    14

  • Pages from-to

    "106320-1"-"106320–14"

  • UT code for WoS article

    000480374500004

  • EID of the result in the Scopus database

    2-s2.0-85067068788