Review of comparative studies on market mechanisms for carbon emission reduction: a bibliometric analysis

Xiang Yu Wang, Bao Jun Tang*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)

    Abstract

    This study uses the bibliometric method to analyze the comparative studies on different market mechanisms applied to carbon reduction between 1970 and 2016 based on the online databases of Science Citation Index Expanded (1970–2016) and Social Science Citation Index (2002–2016). We found by observing the characteristics of publications that such studies belong to a multidisciplinary field that has been continuously developing since the 1990s. The USA and the UK have maintained their leading research strengths in the field, whereas China entered late but has developed rapidly. The most productive journal, institution, and author in this field are Energy Policy, Resources for the Future, and Pizer from the USA, respectively. The auctorial and institutional cooperation degrees are growing and still have a broad collaboration space, but the cooperation among countries is fluctuating at a lower level. Nonetheless, the USA keeps its significant international cooperation ties. The bibliographic coupling and co-citation analysis reveals that articles in this field are closely related to one another. The basic literature in the field was written by Weitzman and published in 1974, and the article by Nordhaus published in Science in 1992 is the most cited in the field. The analysis of keywords and abstract shows that the hot spots include policy choice, price-versus-quantity analysis, and mechanism design.

    Original languageEnglish
    Pages (from-to)1141-1162
    Number of pages22
    JournalNatural Hazards
    Volume94
    Issue number3
    DOIs
    Publication statusPublished - 1 Dec 2018

    Keywords

    • Bibliometrics
    • Carbon emission reduction
    • Co-occurrence analysis
    • Market mechanism
    • Prices versus quantities
    • Statistical analysis

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