The multi-layer nature of Inclusive Wealth data and their dynamic interpretation

George Halkos, Shunsuke Managi, Kyriaki Tsilika

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


This paper explores inclusive wealth (IW) index using visual interfaces, which provide better economic interpretation. Two views are provided for the visual representation: a cluster view and a timeline view. Among all variables of IW data we focus on three: natural capital, inclusive wealth and air pollution. Our IW data exploration starts with the task of illustrating the distribution of air pollution and wealth among different geographical regions and among regions of different economic growth over the 25-year period 1990–2014. Furthermore, we aim at the assessment of variation of natural capital across the years of study. We use different data visualization techniques to capture the multi-layer nature of IW data, to represent parts of the global multi-region multi-country dataset.

Original languageEnglish
Pages (from-to)160-170
Number of pages11
JournalEconomic Analysis and Policy
Publication statusPublished - Sept 2018

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics
  • Economics, Econometrics and Finance (miscellaneous)


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