EconPapers    
Economics at your fingertips  
 

Testing the emission reduction claims of CDM projects using the Benford’s Law

Matthew Cole (), David Maddison () and Liyun Zhang
Additional contact information
Liyun Zhang: University of Birmingham

Climatic Change, 2020, vol. 160, issue 3, No 5, 407-426

Abstract: Abstract Benford’s Law suggests that the first digits of numerical data are heavily skewed towards low numbers. Data that fail to conform to Benford’s Law when conformity is to be expected may have been manipulated. Using Benford’s Law, we conduct digital frequency analysis on the emission reduction claims of Clean Development Mechanism projects. Digital frequency analysis indicates that although emission reduction claims made in project design documents do not conform to Benford’s Law, we cannot reject the null hypothesis that data on certified emission reductions do. Benford’s Law offers a rapid, low-cost means of identifying possible instances of data manipulation.

Keywords: Clean Development Mechanism; Emission reductions; Benford’s Law; Data manipulation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1007/s10584-019-02593-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:climat:v:160:y:2020:i:3:d:10.1007_s10584-019-02593-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10584

DOI: 10.1007/s10584-019-02593-5

Access Statistics for this article

Climatic Change is currently edited by M. Oppenheimer and G. Yohe

More articles in Climatic Change from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2021-06-27
Handle: RePEc:spr:climat:v:160:y:2020:i:3:d:10.1007_s10584-019-02593-5