scispace - formally typeset
D

Daniel Moran

Researcher at Norwegian University of Science and Technology

Publications -  92
Citations -  10175

Daniel Moran is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Carbon footprint & Greenhouse gas. The author has an hindex of 38, co-authored 84 publications receiving 8091 citations. Previous affiliations of Daniel Moran include University of Sydney & Lund University.

Papers
More filters
Journal ArticleDOI

The material footprint of nations.

TL;DR: The most comprehensive and most highly resolved economic input–output framework of the world economy together with a detailed database of global material flows are used to calculate the full material requirements of all countries covering a period of two decades and demonstrate that countries’ use of nondomestic resources is about threefold larger than the physical quantity of traded goods.
Journal ArticleDOI

Building eora: a global multi-region input–output database at high country and sector resolution

TL;DR: The results from a project aimed at creating an MRIO account that represents all countries at a detailed sectoral level, allows continuous updating, provides information on data reliability, contains table sheets expressed in basic prices as well as all margins and taxes, and contains a historical time series are described.
Journal ArticleDOI

International trade drives biodiversity threats in developing nations

TL;DR: It is shown that a significant number of species are threatened as a result of international trade along complex routes, and that, in particular, consumers in developed countries cause threats to species through their demand of commodities that are ultimately produced in developing countries.
Journal ArticleDOI

Mapping the structure of the world economy.

TL;DR: A new series of environmentally extended multi-region input-output (MRIO) tables with applications in carbon, water, and ecological footprinting, and Life-Cycle Assessment, as well as trend and key driver analyses, significantly advances the previous state of art.