Working Paper

98

Democratisation in Tanzania: No Elections Without Tax Exemptions

This publication is also available in French

Democratisation in Tanzania: No Elections Without Tax Exemptions

A demand-supply framework has been developed and applied to Tanzania to explore the link between democratisation, economic liberalisation and the use of tax exemptions to fund political parties’ electoral campaigns. In Tanzania, the demand for this type of money has increased since one-party rule was abolished in 1992. This led to reduced state subsidies to parties, while growing inter- and intra-party competition for political power through the ballot box increased the campaign costs of the last three elections. Political liberalisation also raised the cost of keeping together increasingly fragmented political elites.

The increased supply of political funding for the ruling party is driven by mutual interest between the funding demands of political elites, the interests of companies and emerging capitalists for tax exemptions and other rents to succeed in business. This demand-supply framework helps to explain an increased use of tax exemptions for private companies and individuals around election years in Tanzania. The framework is also relevant to the analysis of political financing through tax exemptions elsewhere on the African continent.

Publication Details

Date

Publisher

Research theme

Share

More resources

Authors

Related Publications

Research in Brief

A Tax by Any Other Name? Conceptions of Taxation and Implications for Research

February 2025
Ane Karoline Bak, Vanessa van den Boogaard, Deanndre Chen

Research in Brief

State Visibility and the Fiscal Contract: Experimental Evidence from Tanzania

August 2026
Revocatus Paul, Jonathan Karver, Christopher Hoy, Ephraim Mdee, Massaga Fimbo, Zain Chaudry

Report

Taxing Smarter: Advancing Reform Through Research and Partnership

July 2026

Policy Brief

Governing the Exchange of Tax Data in Digital Public Infrastructure: Law, Rights, and the Protection of Citizens in Data-Driven Systems

July 2026
Daisy Ogembo, Hannelore Niesten