Publication

Destroying the circular economy in order to save it - three challenges for accurate investment decisions that have emerged in recent years

2017
Book chapter
Abstract

The circular economy concept, as presented by the Ellen MacArthur Foundation (EMF), together with many other organisations, could be threatened by opportunists and fantasists. In essence, anyone with an aversion to seek to scientifically clarify the present state of the planet, society and economy. Existing approaches might therefore be in need of destruction (and subsequent rebuild) or modification. The eloquent promotion of the Circular Economy concept by the EMF has undoubtedly captured the attention and imagination of many business leaders, entrepreneurs, researchers, students and policy makers. Many organizations highlight and showcase their interest in a transition to a circular economy, which itself poses the risk of the concept being a victim of its own success. If everything is deemed important, then nothing is. What’s worse: a scattered focus takes away the awareness of the ‘wicked’ 21st century challenges that are at the heart of the circular economy. This paper aims to discuss three challenges to the circular economy framework that can be considered to be the most threatening to the survival of the circular economy going forwards. Firstly, there are significant limitations concerning the available data in the public domain. Databases lack the level of detail, geographical coverage and accuracy needed. This means that in decision making, theoretical, conceptual thinking takes the place of verifiable fact- finding. Secondly, there is an absence of an answer to the question: ‘how should we define circularity, even if we did have the right data?’. Although propositions for indicator frameworks are available, (e.g. “measuring circularity” report of the EMF, 2015) there is no agreement for a framework amongst experts. The very term ‘circular economy’ is poorly defined in scientific literature and the range of interpretations from different stakeholders makes constructive debate and consensus building very difficult. Thirdly, even if we could develop a clear definition of circularity, we have an inability to establish a framework of welfare optimization. We need to consider and account for corporate confidentiality, privacy needs, operationalise negative externalities and incorporate the nature and pace of disruptive innovations. The inability to do so has resulted in an unbalanced and suboptimal allocation of public resources, aiming for solutions that too often do not harmonise with the ideas based on a circular economy concept.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related concepts (40)
Circular economy
A circular economy (also referred to as circularity or CE) is a model of production and consumption, which involves sharing, leasing, reusing, repairing, refurbishing and recycling existing materials and products for as long as possible. CE aims to tackle global challenges such as climate change, biodiversity loss, waste, and pollution by emphasizing the design-based implementation of the three base principles of the model.
Graph database
A graph database (GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. A key concept of the system is the graph (or edge or relationship). The graph relates the data items in the store to a collection of nodes and edges, the edges representing the relationships between the nodes. The relationships allow data in the store to be linked together directly and, in many cases, retrieved with one operation.
In-memory database
An in-memory database (IMDB, or main memory database system (MMDB) or memory resident database) is a database management system that primarily relies on main memory for computer data storage. It is contrasted with database management systems that employ a disk storage mechanism. In-memory databases are faster than disk-optimized databases because disk access is slower than memory access and the internal optimization algorithms are simpler and execute fewer CPU instructions.
Show more
Related publications (33)

2023 BSL Circular Economy Conference

Sascha Nick

How to bridge science and practice on the example of the Circular Economy (CE)? The 2023 BSL CE Conference analyzes the recently published first editions of country circularity reports, and tries to answer five key questions: 1. How do key country metrics ...
Business School Lausanne (BSL)2023

Activity-based modeling and simulation of epidemics

Michel Bierlaire, Cloe Cortes Balcells, Rico Krüger

The SARS-CoV-2 outburst in March 2020 has led to the lockdown of several countries across the world. Mobility restrictions have been constantly put into action and reversed to find the trade-off between minimizing the number of infections and death and mit ...
2021

Metropolitan Innovation Systems: Inquiry into the co-evolving relations between Industry, University and Government

Jiayun Shen

Innovation is crucial and decisive for the long-term development of a metropolitan region in the global economy. While firms certainly play a significant role in the development of specific innovation, the environment that nur-tures innovative firms and di ...
EPFL2020
Show more
Related MOOCs (4)
Geographical Information Systems 1
Organisé en deux parties, ce cours présente les bases théoriques et pratiques des systèmes d’information géographique, ne nécessitant pas de connaissances préalables en informatique. En suivant cette
Geographical Information Systems 1
Organisé en deux parties, ce cours présente les bases théoriques et pratiques des systèmes d’information géographique, ne nécessitant pas de connaissances préalables en informatique. En suivant cette
Introduction to Geographic Information Systems (part 1)
Organisé en deux parties, ce cours présente les bases théoriques et pratiques des systèmes d’information géographique, ne nécessitant pas de connaissances préalables en informatique. En suivant cette
Show more

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.