Records |
Author |
Alaerts, L.; Van Acker, K.; Rousseau, S.; De Jaeger, S.; Moraga, G.; Dewulf, J.; De Meester, S.; Van Passel, S.; Compernolle, T.; Bachus, K.; Vrancken, K.; Eyckmans, J. |
Title |
Towards a more direct policy feedback in circular economy monitoring via a societal needs perspective |
Type |
A1 Journal article |
Year |
2019 |
Publication |
Resources, conservation and recycling |
Abbreviated Journal |
Resour Conserv Recy |
Volume |
149 |
Issue |
149 |
Pages |
363-371 |
Keywords |
A1 Journal article; Economics; Engineering Management (ENM); Sustainable Energy, Air and Water Technology (DuEL) |
Abstract |
The increasing focus on circular economy at the level of governments and policy requires the development of appropriate indicators to effectively monitor the progress towards the circular economy. Currently two very different types of indicator areas are under development: (i) monitoring frameworks based on macro indicators that summarize the progress at (supra)national level, and (ii) micro indicators tailored towards assessing circularity at the level of products. It is not possible to obtain sufficiently direct feedback about the impact of policy interventions by either macro or micro indicators alone. In this paper, a conceptual approach is developed that aims to bridge the gap between the micro and macro level with meso level indicators, and thus ultimately deliver more direct feedback for policymakers, via the insertion of an extra level of meso indicators in between the macro and the micro level. These indicators have been extracted from a dedicated workshop that involved policy, sector and societal stakeholders. The aim of these indicators is to report on progress towards circular economy objectives based on the fulfillment of societal needs. In this way the consumption perspective is given a central position, and the role of circular business models is acknowledged. Following the development of the concept, the next steps towards tailored, flexible and agile monitoring frameworks for circular economy at (supra)national and regional level are outlined. The paper concludes with an illustrative example of the framework applied to the mobility system. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
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Editor |
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Language |
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Wos |
000483414300034 |
Publication Date |
2019-06-21 |
Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
0921-3449 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
Impact Factor |
3.313 |
Times cited |
1 |
Open Access |
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Notes |
; The authors are very grateful for financial support received from the Flemish administration via the Steunpunt Circulaire Economie (Policy Research Centre Circular Economy). This publication contains the opinions of the authors, not that of the Flemish administration. The Flemish administration will not carry any liability with respect to the use that can be made of the produced data or conclusions. The authors are also grateful to the numerous stakeholders for extended discussions and comments. ; |
Approved |
Most recent IF: 3.313 |
Call Number |
UA @ admin @ c:irua:162774 |
Serial |
6271 |
Permanent link to this record |
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Author |
Borms, L.; Multani, M.; Bachus, K.; Dams, Y.; Brusselaers, J.; Van Passel, S. |
Title |
Using natural language processing to monitor circular activities and employment |
Type |
A1 Journal article |
Year |
2024 |
Publication |
Sustainable Production and Consumption |
Abbreviated Journal |
|
Volume |
46 |
Issue |
|
Pages |
42-53 |
Keywords |
A1 Journal article; Economics; Engineering sciences. Technology; Engineering Management (ENM); Herman Deleeck Centre for Social Policy |
Abstract |
In Europe, NACE codes are used for the official classification of sectors, however, the circular economy is not sufficiently captured in this classification. Therefore, this paper improves previous attempts for defining circular activities and jobs by web scraping techniques applied to each company in Belgium. We analyze their first, second, and third official NACE codes and compare these to the NACE codes they should have been allocated to according to the web scraping data. Subsequently, we calculate circularity scores for every sector to construct an indicator for the number of circular companies and jobs. The results show that the number of circular companies is lower than the baseline from official statistics when we only consider the companies' first and main NACE code. The estimates are higher than the baseline when we also take the second and third NACE codes into account and the estimated number of circular jobs is far higher than the baseline. This research upgrades previous classifications of circular sectors and demonstrates how web scraping and novel data might improve our understanding and capacity to build data. Based on the results in this paper, we recommend a uniform data collection such as reporting standards, and an inclusion of all circular strategies in sectoral classifications. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
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Editor |
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Language |
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Wos |
001198897900001 |
Publication Date |
2024-02-15 |
Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2352-5509 |
ISBN |
|
Additional Links |
UA library record; WoS full record |
Impact Factor |
12.1 |
Times cited |
|
Open Access |
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Notes |
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Approved |
Most recent IF: 12.1; 2024 IF: NA |
Call Number |
UA @ admin @ c:irua:204552 |
Serial |
9241 |
Permanent link to this record |