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Villar, Paul Fenton 
ORCID: https://orcid.org/0000-0001-8779-4189
(2022)
An assessment of the Extractive Industries Transparency Initiative (EITI) using the Bayesian Corruption Indicator.
Environment and Development Economics, 27 (5).
414–435.
ISSN 1355-770X
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Abstract
Advocated across the international community for more than 15 years, the Extractive Industries Transparency Initiative (EITI) is now widely recognised as a hallmark anti-corruption scheme in the extractive sector. This study presents an assessment of the relationship between EITI membership and countries’ progress in tackling corruption. It provides the first study that looks at this issue using a ‘state-of-the-art’ indicator called the Bayesian Corruption Indicator. It also introduces an innovative estimation strategy combining entropy balancing with a difference-in-difference framework to address the baseline inequalities that exist between member and non-member countries. Contrary to the findings of many leading studies, this analysis finds corruption scores have improved significantly among EITI member countries. In particular, the evidence is strongest when we examine a sub-group of EITI members designated fully compliant with the initiative's transparency standards.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | corruption,eiti,extractive industries,natural resource management,transparency,environmental science(all),development,economics and econometrics,sdg 16 - peace, justice and strong institutions ,/dk/atira/pure/subjectarea/asjc/2300 |
| Faculty \ School: | Faculty of Social Sciences > School of Global Development (formerly School of International Development) |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 03 Mar 2023 14:30 |
| Last Modified: | 28 Jul 2023 03:52 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/91354 |
| DOI: | 10.1017/S1355770X21000383 |
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