Two decades of research on waste management in the circular economy: Insights from bibliometric, text mining, and content analyses

Ranjbari, Meisam; Saidani, Michael; Esfandabadi, Zahra Shams; Peng, Wanxi; Lam, Su Shiung; Aghbashlo, Mortaza; Quatraro, Francesco; Tabatabaei, Meisam

doi:10.1016/j.jclepro.2021.128009

Cited by 158 publications

(87 citation statements)

References 152 publications

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“…Second, other informative analysis tools could be considered to conduct an in-depth analysis of this research dataset in the future. Eventually, the bibliometrics analysis methods could be extended to text mining and content analysis, which may make the analysis more comprehensive (Ranjbari et al 2021a ).…”

Section: Discussionmentioning

confidence: 99%

Global evaluation of carbon neutrality and peak carbon dioxide emissions: current challenges and future outlook

Yang

Shi

et al. 2022

Environ Sci Pollut Res

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With the acceleration of urbanization and industrialization, carbon neutrality and peak carbon dioxide emissions have become common sustainability goals worldwide. However, there are few literature statistics and econometric analyses targeting carbon neutrality and peak carbon dioxide emissions, especially the publication trends, geographic distribution, citation literature, and research hotspots. To conduct an in-depth analysis of existing research fields and future perspectives in this research area, 1615 publications from the Web of Science Core Collection, between 2010 and 2020, were evaluated by using three analysis tools, under the framework of the bibliometrics method. These publications are distributed between the start-up (2010–2015) and the stable development (2016–2020) phases. Cluster analysis suggests three areas of ongoing research: energy-related carbon emissions, methane emissions, and energy biomass. Overall, future trends in this field include cumulative carbon emissions, the residential building sector, methane emission measurement, nitrogen fertilization, land degradation neutrality, and sciamachy satellite methane measurement. Finally, this paper further examines the most comprehensive coverage of nitrogen fertilization and the most recent research of the residential building sector. In view of the statistical clusters from 1615 publications, this paper provides new insights and perspectives for climate-environment-related researchers and policymakers. Specifically, countries could apply nitrogen fertilizer to crops according to the conditions of different regions. Additionally, experiences from developed countries could be learned from, including optimizing the energy supply structure of buildings and increasing the use of clean energy to reduce CO 2 emissions from buildings.

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Section: Discussionmentioning

confidence: 99%

Global evaluation of carbon neutrality and peak carbon dioxide emissions: current challenges and future outlook

Yang

Shi

et al. 2022

Environ Sci Pollut Res

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“…The economic model of the circular economy (CE) has gained attention and attraction in the last 15 years [20]. It aims at replacing the linear economy that follows the 'take, make and dispose off' principle by 'closing the loop'.…”

Section: Circular Economy and The Relevance Of European Cities And Industrymentioning

confidence: 99%

Hubs for Circularity: Geo-Based Industrial Clustering towards Urban Symbiosis in Europe

2021

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Since the Green Deal, ambitious climate and resource neutrality goals have been set in Europe. Here, process industries hold a unique position due to their energy and material transformation capabilities. They are encouraged to develop cross-sectorial hubs for achieving not only climate ambition, but also joining a circular economy through urban–industrial symbiosis with both business and community stakeholders. This research proposes a data-based approach to identify potential hub locations by means of cluster analysis. A total of three different algorithms are compared on a set of location and pollution data of European industrial facilities: K-means, hierarchical agglomerative and density-based spatial clustering. The DBSCAN algorithm gave the best indication of potential locations for hubs because of its capacity to tune the main parameters. It evidenced that predominately west European countries have a high potential for identifying hubs for circularity (H4Cs) due to their industrial density. In Eastern Europe, the industrial landscape is more scattered, suggesting that additional incentives might be needed to develop H4Cs. Furthermore, industrial activities such as the production of aluminium, cement, lime, plaster, or electricity are observed to have a relatively lower tendency to cluster compared with the petrochemical sector. Finally, further lines of research to identify and develop industrial H4Cs are suggested.

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“… Babbitt et al, 2021 , Chen et al, 2021a , Chen et al, 2021b , de Aguiar Hugo et al, 2021 , Leal Filho et al, 2021 , Makrides et al,2021 , Ranjbari et al, 2021a , Rehman and ur, Khalid, U., , 2021 , Shevchenko et al, 2021a .…”

Section: Uncited Referencesmentioning

confidence: 99%

Waste management beyond the COVID-19 pandemic: Bibliometric and text mining analyses

Ranjbari¹,

Esfandabadi²,

Gautam³

et al. 2023

Gondwana Research

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Two decades of research on waste management in the circular economy: Insights from bibliometric, text mining, and content analyses

Cited by 158 publications

References 152 publications

Global evaluation of carbon neutrality and peak carbon dioxide emissions: current challenges and future outlook

Global evaluation of carbon neutrality and peak carbon dioxide emissions: current challenges and future outlook

Hubs for Circularity: Geo-Based Industrial Clustering towards Urban Symbiosis in Europe

Waste management beyond the COVID-19 pandemic: Bibliometric and text mining analyses

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