Knowledge Mapping and Institutional Prospects on Circular Carbon Economy Based on Scientometric Analysis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Research Methods
2.2. Data Sources
2.3. Parameter Explanation
2.4. The Research Route
3. Results and Discussion
3.1. Basic Feature Analysis
3.2. Author’s Cooperation Map
3.3. Institutional Cooperation Map
3.4. National or Regional Cooperation Mapping
3.5. Co-Citation Map and Analysis of Literature
3.6. Analysis of Keywords and Hotspots
4. Conclusions and Institutional Prospects
4.1. Conclusions
4.2. Institutional Prospects
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Wos Categories | Freq | Wos Categories | Freq |
---|---|---|---|
Environmental Sciences | 631 | Chemistry Multidisciplinary | 160 |
Green Sustainable Science Technology | 393 | Environmental Studies | 151 |
Engineering Environmental | 362 | Materials Science Multidisciplinary | 106 |
Energy Fuels | 231 | Biotechnology Applied Microbiology | 92 |
Engineering Chemical | 171 | Chemistry Physical | 64 |
Author | Freq | Author | Freq |
---|---|---|---|
Zabaniotou A | 11 | Liu XX | 8 |
Hou HY | 10 | Liu Z | 8 |
Bialowiec A | 9 | Wang Y | 8 |
Dong L | 8 | Li DD | 7 |
Geng Y | 8 | Li J | 7 |
Koziel JA | 8 | Purnell P | 7 |
Affiliations | Freq | Affiliations | Freq |
---|---|---|---|
League of European Research Universities | 94 | Udice French Research Universities | 21 |
Center Natinal de la Recherche Scientifique | 28 | Helmholtz Association | 20 |
Consejo Superior de Investigaciones Científicas | 28 | Institut National de Recherche Pour l’Agriculture, l’Alimentation et l’Environnement | 19 |
Chinese Academy of Sciences | 25 | Delft University of Technology | 18 |
Consiglio Nazionale delle Ricerche | 22 | University of Manchester | 17 |
Country/Region | Freq | Country/Region | Freq |
---|---|---|---|
People’s Republic of China | 245 | Germany | 115 |
Italy | 188 | Netherlands | 75 |
England | 157 | Australia | 70 |
Spain | 156 | France | 64 |
USA | 128 | India | 64 |
References | Year | Strength | Begin | End | 2010–2022 |
---|---|---|---|---|---|
Dong L, 2014 [75], ENERG POLICY, V65, P388 DOI 10.1016/j.enpol.2013.10.019 | 2014 | 5.63 | 2015 | 2018 | |
Dong L, 2013 [76], J CLEAN PROD, V59, P226 DOI 10.1016/j.jclepro.2013.06.048 | 2013 | 4.63 | 2015 | 2017 | |
Su B, 2013 [77], J CLEAN PROD, V42, P215 DOI 10.1016/j.jclepro.2012.11.020 | 2013 | 7.58 | 2016 | 2018 | |
Haas W, 2015 [73], J IND ECOL, V19, P765 DOI 10.1111/jiec.12244 | 2015 | 4.81 | 2016 | 2020 | |
Ghisellini P, 2016 [78], J CLEAN PROD, V114, P11 DOI 10.1016/j.jclepro.2015.09.007 | 2016 | 14.99 | 2017 | 2019 | |
Steffen W, 2015 [79], SCIENCE, V347, P0 DOI 10.1126/science.1259855 | 2015 | 7.97 | 2017 | 2020 | |
Pan SY, 2015 [80], J CLEAN PROD, V108, P409 DOI 10.1016/j.jclepro.2015.06.124 | 2015 | 7.55 | 2017 | 2020 | |
Geissdoerfer M, 2017 [81], J CLEAN PROD, V143, P757 DOI 10.1016/j.jclepro.12.048 | 2017 | 8.42 | 2018 | 2019 | |
Korhonen J, 2018 [82], ECOL ECON, V143, P37 DOI 10.1016/j.ecolecon.2017.06.041 | 2018 | 6.03 | 2018 | 2020 | |
Kirchherr J, 2017 [83], RESOUR CONSERV RECY, V127, P221 DOI 10.1016/j.resconrec.2017.09.005 | 2017 | 4.82 | 2018 | 2019 | |
Genovese A, 2017 [84], OMEGA-INT J MANAGE S, V66, P344 DOI 10.1016/j.omega.2015.05.015 | 2017 | 4.82 | 2018 | 2019 | |
Niero M, 2016 [85], RESOUR CONSERV RECY, V114, P18 DOI 10.1016/j.resconrec.2016.06.023 | 2016 | 4.73 | 2018 | 2019 | |
Clark JH, 2016 [86], GREEN CHEN, V18, P3914 DOI 10.1039/c6gc00501b | 2016 | 4.51 | 2018 | 2019 | |
Gregson N, 2015 [87], ECON SOC, V44, P218 DOI 10.1080/03085147.2015.1013353 | 2015 | 4.28 | 2018 | 2020 | |
Jambeck JR, 2015 [74], SCIENCE, V347, P768 DOI 10.1126/science.1260352 | 2015 | 4.18 | 2019 | 2020 |
Freq | Burst | Degree | Centrality | Sigma | Author | Year | Source | Vol | Page |
---|---|---|---|---|---|---|---|---|---|
82 | 24 | 0.04 | 1.00 | Geissdoerfer M [81] | 2017 | J CLEAN PROD | 143 | 757 | |
73 | 4.81 | 35 | 0.22 | 2.60 | Ghisellini P [78] | 2016 | J CLEAN PROD | 114 | 11 |
65 | 32 | 0.10 | 1.00 | Kirchherr J [83] | 2017 | RESOUR CONSERV RECY | 127 | 221 | |
48 | 20 | 0.02 | 1.00 | Korhonen J [82] | 2018 | ECOL ECON | 143 | 37 | |
42 | 16 | 0.12 | 1.00 | Geyer R [88] | 2017 | SCI ADV | 3 | 0 | |
34 | 21 | 0.18 | 1.00 | Stahel WR [21] | 2016 | NATURE | 531 | 435 | |
24 | 21 | 0.05 | 1.00 | Lieder M [89] | 2016 | J CLEAN PROD | 115 | 36 | |
23 | 17 | 0.05 | 1.00 | Pomponi F [90] | 2017 | J CLEAN PROD | 143 | 710 | |
21 | 23 | 0.05 | 1.00 | Bocken NMP [81] | 2016 | J IND PROD ENG | 33 | 308 | |
20 | 17 | 0.01 | 1.00 | Kalmykova Y [91] | 2018 | RESOUR CONSERV RECY | 135 | 190 | |
19 | 16 | 0.00 | 1.00 | Korhonen J [82] | 2018 | J CLEAN PROD | 175 | 544 | |
19 | 12 | 0.00 | 1.00 | Murray A [92] | 2017 | J BUS ETHICS | 140 | 369 | |
19 | 13 | 0.01 | 1.00 | Winans K [93] | 2017 | RENEW SUST ENERG REV | 68 | 825 | |
17 | 21 | 0.08 | 1.00 | Moraga G [94] | 2019 | RESOUR CONSERV RECY | 146 | 452 | |
16 | 3.93 | 10 | 0.06 | 1.26 | Steffen W [79] | 2015 | SCIENCE | 347 | 0 |
15 | 3.68 | 9 | 0.02 | 1.07 | Pan SY [80] | 2015 | J CLEAN PROD | 108 | 409 |
Freq | Burst | Centrality | Time | Keyword | Freq | Burst | Centrality | Time | Keyword |
---|---|---|---|---|---|---|---|---|---|
596 | - | 0.06 | 2011 | circular economy | 56 | - | 0.1 | 2010 | emission |
167 | - | 0.02 | 2015 | life cycle assessment | 55 | - | 0.05 | 2012 | greenhouse gas emission |
106 | - | 0.07 | 2011 | carbon | 55 | - | 0.09 | 2016 | food waste |
105 | - | 0.15 | 2012 | performance | 52 | 2.97 | 0.04 | 2015 | technology |
103 | - | 0.08 | 2013 | energy | 52 | - | 0.02 | 2015 | removal |
90 | - | 0.03 | 2015 | management | 48 | - | 0.11 | 2017 | adsorption |
86 | - | 0.18 | 2012 | anaerobic digestion | 47 | - | 0.01 | 2016 | waste management |
85 | 2.66 | 0.06 | 2013 | bioma | 46 | - | 0.11 | 2015 | environmental impact |
81 | - | 0.09 | 2013 | waste | 46 | - | 0.03 | 2011 | climate change |
74 | - | 0.05 | 2015 | activated carbon | 45 | - | 0.02 | 2016 | design |
72 | - | 0.08 | 2014 | carbon dioxide | 45 | - | 0.04 | 2016 | recovery |
72 | - | 0.03 | 2013 | carbon footprint | 45 | - | 0.03 | 2016 | sustainability |
66 | - | 0.02 | 2014 | system | 43 | - | 0.03 | 2015 | optimization |
65 | - | 0.02 | 2015 | impact | 42 | - | 0.03 | 2015 | waste water |
57 | - | 0.1 | 2016 | municipal solid waste | 42 | - | 0.05 | 2015 | model |
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Dong, Z.; Zhang, L.; Li, H.; Gong, Y.; Jiang, Y.; Peng, Q. Knowledge Mapping and Institutional Prospects on Circular Carbon Economy Based on Scientometric Analysis. Int. J. Environ. Res. Public Health 2022, 19, 12508. https://doi.org/10.3390/ijerph191912508
Dong Z, Zhang L, Li H, Gong Y, Jiang Y, Peng Q. Knowledge Mapping and Institutional Prospects on Circular Carbon Economy Based on Scientometric Analysis. International Journal of Environmental Research and Public Health. 2022; 19(19):12508. https://doi.org/10.3390/ijerph191912508
Chicago/Turabian StyleDong, Zhengai, Lichen Zhang, Houjian Li, Yanhui Gong, Yue Jiang, and Qiumei Peng. 2022. "Knowledge Mapping and Institutional Prospects on Circular Carbon Economy Based on Scientometric Analysis" International Journal of Environmental Research and Public Health 19, no. 19: 12508. https://doi.org/10.3390/ijerph191912508
APA StyleDong, Z., Zhang, L., Li, H., Gong, Y., Jiang, Y., & Peng, Q. (2022). Knowledge Mapping and Institutional Prospects on Circular Carbon Economy Based on Scientometric Analysis. International Journal of Environmental Research and Public Health, 19(19), 12508. https://doi.org/10.3390/ijerph191912508