IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v152y2025ics0140988325008515.html

Assessing data integrity in voluntary carbon offsets using Benford’s Law

Author

Listed:
  • Chuang, Yating
  • Liu, John Chung-En

Abstract

High-profile scandals have fueled growing doubts about the credibility of claimed emission reductions in the voluntary carbon market. Numerous studies have highlighted issues such as inflated baselines, lack of additionality, and questionable data integrity in carbon offset projects. This study uses Benford’s Law to assess the reliability of emission reduction data in the voluntary carbon market, focusing on both ex ante Estimated Emission Reductions (EERs) and the Verified Emission Reductions (VERs)—ex post credit issuances. It compares patterns across crediting programs, countries, and project types to identify potential irregularities. Nonconformity was found to be prevalent across crediting programs, project types, and countries. The findings provide insights to improve transparency and credibility in carbon offset practices.

Suggested Citation

  • Chuang, Yating & Liu, John Chung-En, 2025. "Assessing data integrity in voluntary carbon offsets using Benford’s Law," Energy Economics, Elsevier, vol. 152(C).
  • Handle: RePEc:eee:eneeco:v:152:y:2025:i:c:s0140988325008515
    DOI: 10.1016/j.eneco.2025.109021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988325008515
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2025.109021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Matthew A. Cole & David J. Maddison & Liyun Zhang, 2020. "Testing the emission reduction claims of CDM projects using the Benford’s Law," Climatic Change, Springer, vol. 160(3), pages 407-426, June.
    2. Annelise Gill-Wiehl & Daniel M. Kammen & Barbara K. Haya, 2024. "Pervasive over-crediting from cookstove offset methodologies," Nature Sustainability, Nature, vol. 7(2), pages 191-202, February.
    3. Fujii, Hidemichi & Webb, Jeremy & Mundree, Sagadevan & Rowlings, David & Grace, Peter & Wilson, Clevo & Managi, Shunsuke, 2024. "Priority change and driving factors in the voluntary carbon offset market," MPRA Paper 120657, University Library of Munich, Germany.
    4. Stefan Renckens & Kristen Pue & Amy Janzwood, 2022. "Transnational Private Environmental Rule Makers as Interest Organizations: Evidence from the European Union," Global Environmental Politics, MIT Press, vol. 22(3), pages 136-170, Summer.
    5. George Judge & Laura Schechter, 2009. "Detecting Problems in Survey Data Using Benford’s Law," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    6. Micha Kaiser, 2019. "Benford'S Law As An Indicator Of Survey Reliability—Can We Trust Our Data?," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1602-1618, December.
    7. Pouyan Hatami Bahman Beiglou & Carole Gibbs & Louie Rivers & Umesh Adhikari & Jade Mitchell, 2017. "Applicability of Benford’s Law to Compliance Assessment of Self-Reported Wastewater Treatment Plant Discharge Data," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 19(04), pages 1-25, December.
    8. Nye John & Moul Charles, 2007. "The Political Economy of Numbers: On the Application of Benford's Law to International Macroeconomic Statistics," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-14, July.
    9. Tam Cho, Wendy K. & Gaines, Brian J., 2007. "Breaking the (Benford) Law: Statistical Fraud Detection in Campaign Finance," The American Statistician, American Statistical Association, vol. 61, pages 218-223, August.
    10. Wang, Delu & Chen, Fan & Mao, Jinqi & Liu, Nannan & Rong, Fangyu, 2022. "Are the official national data credible? Empirical evidence from statistics quality evaluation of China's coal and its downstream industries," Energy Economics, Elsevier, vol. 114(C).
    11. Thales A. P. West & Sven Wunder & Erin O. Sills & Jan Borner & Sami W. Rifai & Alexandra N. Neidermeier & Andreas Kontoleon, 2023. "Action needed to make carbon offsets from tropical forest conservation work for climate change mitigation," Papers 2301.03354, arXiv.org.
    12. Koch, Christoffer & Okamura, Ken, 2020. "Benford’s Law and COVID-19 reporting," Economics Letters, Elsevier, vol. 196(C).
    13. Gregory Trencher & Sascha Nick & Jordan Carlson & Matthew Johnson, 2024. "Demand for low-quality offsets by major companies undermines climate integrity of the voluntary carbon market," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    14. Liliana B. Andonova & Yixian Sun, 2019. "Private Governance in Developing Countries: Drivers of Voluntary Carbon Offset Programs," Global Environmental Politics, MIT Press, vol. 19(1), pages 99-122, February.
    15. Benedict S. Probst & Malte Toetzke & Andreas Kontoleon & Laura Díaz Anadón & Jan C. Minx & Barbara K. Haya & Lambert Schneider & Philipp A. Trotter & Thales A. P. West & Annelise Gill-Wiehl & Volker H, 2024. "Systematic assessment of the achieved emission reductions of carbon crediting projects," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    16. Sammy Zahran & Terrence Iverson & Stephan Weiler & Anthony Underwood, 2014. "Evidence that the accuracy of self-reported lead emissions data improved: A puzzle and discussion," Journal of Risk and Uncertainty, Springer, vol. 49(3), pages 235-257, December.
    17. Scott Marchi & James Hamilton, 2006. "Assessing the Accuracy of Self-Reported Data: an Evaluation of the Toxics Release Inventory," Journal of Risk and Uncertainty, Springer, vol. 32(1), pages 57-76, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Matthew A. Cole & David J. Maddison & Liyun Zhang, 2020. "Testing the emission reduction claims of CDM projects using the Benford’s Law," Climatic Change, Springer, vol. 160(3), pages 407-426, June.
    2. Vadim S. Balashov & Yuxing Yan & Xiaodi Zhu, 2020. "Who Manipulates Data During Pandemics? Evidence from Newcomb-Benford Law," Papers 2007.14841, arXiv.org, revised Jan 2021.
    3. Philip E Hulme & Danish A Ahmed & Phillip J Haubrock & Brooks A Kaiser & Melina Kourantidou & Boris Leroy & Shana M Mcdermott, 2024. "Widespread imprecision in estimates of the economic costs of invasive alien species worldwide," Post-Print hal-04633043, HAL.
    4. Karlo Kauko, 2024. "How to detect what drives deviations from Benford’s law? An application to bank deposit data," Empirical Economics, Springer, vol. 67(3), pages 1045-1061, September.
    5. Montag, Josef, 2017. "Identifying odometer fraud in used car market data," Transport Policy, Elsevier, vol. 60(C), pages 10-23.
    6. Montag, Josef, 2015. "Identifying Odometer Fraud: Evidence from the Used Car Market in the Czech Republic," MPRA Paper 65182, University Library of Munich, Germany.
    7. Hao, Zhuang & Zhang, Xudong & Wang, Yuze, 2024. "Assessing the accuracy of self-reported health expenditure data: Evidence from two public surveys in China," Social Science & Medicine, Elsevier, vol. 356(C).
    8. Tariq Ahmad Mir & Marcel Ausloos & Roy Cerqueti, 2014. "Benford's law predicted digit distribution of aggregated income taxes: the surprising conformity of Italian cities and regions," Papers 1410.2890, arXiv.org.
    9. Ioana Sorina Deleanu, 2017. "Do Countries Consistently Engage in Misinforming the International Community about Their Efforts to Combat Money Laundering? Evidence Using Benford’s Law," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-19, January.
    10. Wang, Delu & Chen, Fan & Mao, Jinqi & Liu, Nannan & Rong, Fangyu, 2022. "Are the official national data credible? Empirical evidence from statistics quality evaluation of China's coal and its downstream industries," Energy Economics, Elsevier, vol. 114(C).
    11. Ronelle Burger & Canh Thien Dang & Trudy Owens, 2017. "Better performing NGOs do report more accurately: Evidence from investigating Ugandan NGO financial accounts," Discussion Papers 2017-10, University of Nottingham, CREDIT.
    12. Roy Cerqueti & Claudio Lupi, 2023. "Severe testing of Benford’s law," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(2), pages 677-694, June.
    13. Louie Rivers & Tamara Dempsey & Jade Mitchell & Carole Gibbs, 2015. "Environmental Regulation and Enforcement: Structures, Processes and the Use of Data for Fraud Detection," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-29, December.
    14. Robert J. R. Elliott & Puyang Sun & Tong Zhu, 2024. "Energy abundance, the geographical distribution of manufacturing, and international trade," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 160(4), pages 1361-1391, November.
    15. Niklas Stolz & Benedict S. Probst, 2025. "The negligible role of carbon offsetting in corporate climate strategies," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
    16. Sitsofe Tsagbey & Miguel de Carvalho & Garritt L. Page, 2017. "All Data are Wrong, but Some are Useful? Advocating the Need for Data Auditing," The American Statistician, Taylor & Francis Journals, vol. 71(3), pages 231-235, July.
    17. Dang, Canh Thien & Owens, Trudy, 2020. "Does transparency come at the cost of charitable services? Evidence from investigating British charities," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 314-343.
    18. repec:osf:socarx:48g5c_v1 is not listed on IDEAS
    19. Theoharry Grammatikos & Nikolaos I. Papanikolaou, 2021. "Applying Benford’s Law to Detect Accounting Data Manipulation in the Banking Industry," Journal of Financial Services Research, Springer;Western Finance Association, vol. 59(1), pages 115-142, April.
    20. John Morrow, 2014. "Benford's Law, Families of Distributions and a Test Basis," CEP Discussion Papers dp1291, Centre for Economic Performance, LSE.
    21. Stefan Günnel & Karl-Heinz Tödter, 2009. "Does Benford’s Law hold in economic research and forecasting?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(3), pages 273-292, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • M42 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Auditing
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:152:y:2025:i:c:s0140988325008515. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.