FROM LINEAR TO CIRCULAR ECONOMY: THE ROLE OF REGIONAL AWARENESS AND INITIATIVES
Notice bibliographique
Résumé
Although many OECD countries are working on it, the economy is only slowly developing from linear to circular. However, many economists are convinced that this is the only viable path if we want to prevent a climate catastrophe by 2050 and thereby leave a habitable and developable world for the next generations. Numerous articles in the press point out that many companies are only at the beginning of a gigantic effort to make their production CO2 neutral but also sustainable and that a lot of innovation will be needed before that happens. So, what are the reasons why the transition towards a circular economy is so difficult to make? The European Academy of the Regions, that advocates the regionalisation of a number of economic and socio-cultural sectors, closely follows the development of the circular economy. Since the beginning of May 2021, it has therefore set-up a blog in which newspaper articles are translated from various countries to English with examples of successful circular economy initiatives or of critical studies: earaercircular.tumblr.com. To date, the organisation made a statistical study on the 100 selected articles[1] published between 3/5/2021 and 3/9/2021 that will give the reader an idea of the themes that are most frequently discussed and of the remedies that are created. The articles come from newspapers and magazines from Belgium (Dutch and French), the Netherlands, Germany, Spain and the US and to a lesser extent from Switzerland, Canada and France. The results of this research are an overview of the topics covered, of indications of how initiatives are created, who is the influencer as well as an overview of the articles that have received more than 100 clicks on social media. It has been striking that many of the initiatives described by the press have arisen from companies whose top management is aware of the bend that urgently needs to be made and who also see commercial opportunities to start early. There are also a number of cooperative initiatives, that still succeed in creating successful initiatives from a small-scale approach. A second important player in this conversion is the academic world, especially faculties or even entire universities that have been conducting research into new materials or new applications for a long time. The traditional third player are the authorities, but very often regional governments or large cities. The conclusion remarks show that circular economy can only be successful if companies see a profit model in it, or are forced to change their course by public opinion because of negative perception and that we are not yet there.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».