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Global Integrity

Ethical border trading between Kenya and Uganda for small scale businesses

Last updated: 07/09/2023
IATI Identifier: US-EIN-26-0126537-gi-ace-1-10
Project disclaimer
Disclaimer: The data for this page has been produced from IATI data published by Global Integrity. Please contact them (Show Email Address) if you have any questions about their data.

Description

Recently, we have fine-tuned the ability to measure and target corruption. However, this has not led to satisfactory impacts on anti-corruption efforts. One reason is that corruption mechanisms are complex and socially embedded. Multiple actors with multiple motivations perpetuate and practice corruption as part of the fabric of the everyday life. Additionally, power dynamics and difficulties in organizing against corruption problems prevent those negatively impacted to speak out against the seemingly embedded culture of corruptive practices. Whether technology can help in advocacy against corruption is also an emerging question. This study seeks to address these issues in the context of small-scale traders facing bribery and artificially raised prices at the Kenya-Uganda border. It proposes to run two randomized controlled trials on an existing mobile anti-corruption platform (Sauti) that aims to assist traders address corruption. We will complement this with political institutional analysis aimed to support advocacy for ethical border trading.


Location

The country, countries or regions that benefit from this Programme.
Kenya, Uganda
Disclaimer: Country borders do not necessarily reflect the UK Government's official position.

Status Post-completion

The current stage of the Programme, consistent with the International Aid Transparency Initiative's (IATI) classifications.

Programme Spend

Programme budget and spend to date, as per the amounts loaded in financial system(s), and for which procurement has been finalised.

Participating Organisation(s)

Help with participating organisations
These organisations have received funding disbursements from this IATI activity.
  • Columbia University

Sectors

Sector groups as a percentage of total Programme budget according to the OECD Development Assistance Committee (DAC) classifications.

Budget

A comparison across financial years of forecast budget and spend to date on the Programme.

Download IATI Data for US-EIN-26-0126537-gi-ace-1-10

Programme data last updated on 07/09/2023