Cahen-Fourot, L., Campiglio, E., Dawkins, E. et al. (2 more authors) (2020) Looking for the Inverted Pyramid: An Application Using Input-Output Networks. Ecological Economics, 169. 106554. ISSN 0921-8009
Abstract
Herman Daly's view of the economy as an “inverted pyramid” sitting on top of essential raw material inputs is compelling, but not readily visible in monetary data, as the contribution of primary sectors to value added is typically low. This article argues that “forward linkages”, a classical development theory concept capturing the relevance of a sector for downstream activities, is an informative and complementary measure to identify key sectors. Using Input-Output (IO) data from eighteen European countries, we identify mining as the sector with the highest average forward linkages, and confirm the consistency of this result across countries via cluster analysis. By treating IO tables as the adjacency matrix of a directed network, we then build and visualise national inverted pyramid networks, and analyse their structure. Our approach highlights the role of natural resources in providing the necessary inputs to modern European economies.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier B.V. This is an author produced version of an article published in Ecological Economics. Uploaded in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. |
Keywords: | Inverted pyramid, Input-output, Networks, Forward linkages, Natural resources |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Sustainability Research Institute (SRI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Dec 2024 10:53 |
Last Modified: | 05 Dec 2024 10:53 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ecolecon.2019.106554 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:220480 |