Person:
Davenport, Stephen
Author Name Variants
Fields of Specialization
Government Technology,
Open Government,
Transparency,
Citizen Engagement,
Public Participation,
Tax Administration,
Fiscal Policy
Degrees
ORCID
External Links
Externally Hosted Work
Contact Information
Last updated
January 31, 2023
Biography
Stephen Davenport is currently the Global Lead for Anticorruption, Openness, and Transparency at the World Bank Group. He works on various projects related to Open Government and GovTech, and co-leads the Innovation in Tax Compliance program, which promotes strategies to engender greater trust in tax administrations. He has more than 20 years of experience in program innovation, development, fundraising, communications, client relationship management, and delivery of e-Government services.
Stephen has worked in partnership with the USAID, the World Bank, the International Aid Transparency Initiative, Open Aid Partnership, Open Contracting Partnership, and the Open Government Partnership to accomplish his goals for greater transparency in international development. Stephen has also led breakthrough innovations including the creation of the OpenGov Hub in Washington, DC, the co-creation of FeedBack Labs, and AidData.
Publication Search Results
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Publication
Innovations in Tax Compliance: Conceptual Framework
(World Bank, Washington, DC, 2019-10)This paper presents a conceptual framework for developing more effective approaches to tax reform and compliance. The framework proposes that by combining complementary investments in enforcement, facilitation, and trust, reformers can not only strengthen enforced compliance but can also (a) encourage quasi-voluntary compliance, (b) generate sustainable political support for reform, and (c) create conditions that are more conducive to the construction of stronger fiscal contracts. A key challenge for governments lies in finding the right combination of these three measures -- enforcement, facilitation, and trust—to achieve revenue and broader development goals. The framework proposes greater reliance on locally grounded binding constraints analysis, coupled with careful attention to understanding politics and the drivers of trust in particular contexts, to guide analysis of how best different investments may be combined, prioritized, or sequenced. This framework can help policy makers to think about the right combination of strategies in specific contexts, and thus to allocate resources most effectively.