Spatiotemporal distribution of inclusive wealth data: An illustrated guide, MPRA
Spatiotemporal distribution of inclusive wealth data: An illustrated guide, MPRA Paper 85711, University Library of Munich, Germany. In common with Managi S. & Tsilika K. (2018).
In this paper we develop an illustrated guide for IWR2017 data. Graphical representations aim to reveal the multi-layer nature of IWR data with self-explanatory schemes. There are four parts of the analysis. In the first part, we present the spatial distribution of the three types of capitals - natural, human and produced - associated to social well-being. In the second part, we illustrate capitals’ temporal variation over 1990-2014, on different geographical and economic backgrounds. We investigate the dynamic evolution of capital assets and capture the key trend among different geographical regions and among regions with different economic growth. The third part makes an additional focus on natural capital and its spatial distribution over different income levels and regions. The forth part examines the causal relation between pollution and wealth. All four research questions are confronted with ease, clarity, and accuracy, with digital methods for mapping. A variety of graphical styles and/or forms is employed to indicate the resource use, capital exploitation trends of countries of different economic integration, uncover policies per income level.