A Bibliometric Analysis of Carbon Labeling Schemes in the Period 2007–2019
Open accessAbstract
Carbon labeling schemes enable consumers to be aware of carbon emissions regarding products or services, to help change their purchasing behaviors. This study provides a bibliometric analysis to review the research progress of carbon labeling schemes during the period 2007–2019, in order to provide insight into its future development. Number of publications, countries of publications, authors, institutions, and highly cited papers are included for statistical analysis. The CiteSpace software package is used to visualize the national collaboration, keywords co-appearance, and aggregation. The results are given as follows: (1) there are 175 articles published in the pre-defined period, which shows a gradual increase, with a peak occurred in 2016; (2) carbon labeling schemes are mainly applied to grocery products, and gradually emerged in construction and tourism. (3) Existing studies mainly focus on examination of utility of carbon labeling schemes, by conducting surveys to investigate individual perception, preference, and willingness to pay. (4) Future research will include the optimization of life cycle assessment for labeling accreditation, improvement of labeling visualization for better expression, and normalization of various environmental labels to promote sustainable consumption.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Bibliometric studies suggest that labels purely focusing on carbon have proliferated mainly in the food retail sector, where consumer visibility is high.
“Bibliometric studies suggest that labels purely focusing on carbon have proliferated mainly in the food retail sector, where consumer visibility is high (61, 62).”
From Carbon Leakage, Consumption, and Trade (2022) · cites this paper as [62]
The citation lists haven’t been fetched yet
References 65 · Cited by 31
- Authors
- Zhao, R., Wu, D., & Patti, S.
- Affiliations
- Southwest Jiaotong University (CN)
- University of Catania (IT)
- Corresponding author
- Zhao, Rui
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2020-08-16
- Volume
- 13
- Issue
- 16
- Pages
- 4233
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W3049271563
- Cited by
- 31
- References
- 65
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 2 · 2023: 4 · 2022: 7 · 2021: 7 · 2020: 1
- FWCI
- 4.90
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Energies (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (41301639, 41571520)
- Sichuan Provincial Young Talent Program (2019JDJQ0020)
- Sichuan Province Circular Economy Research Center Fund (XHJJ-2002)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Consumer Attitudes and Food Labeling
- Physical Sciences › Environmental Science › Ecology › Agriculture Sustainability and Environmental Impact
- Keywords
- eco-labels, carbon emission disclosure, consumer purchasing behavior, sustainable consumption, grocery products, construction products, tourism products, willingness to pay, life cycle assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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