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Anti-corruption measures for reducing corruption in agriculture

Given the vastness of the agricultural sector, from small scale subsistence farming to large commercial plantations, understanding the sector's value chain to map appropriate corruption risks and anti-corruption measures can be a helpful exercise. Risks in agriculture can intertwine with other sectors such as land and water, which are vital inputs. Anti-corruption measures can include but are not limited to TAAPE (transparency, awareness, accountability, prevention, and enforcement), use of social accountability strategies, whistleblower protection and innovation in agricultural practices.

2 March 2022
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Anti-corruption measures for reducing corruption in agriculture

Main points

  • Agriculture is a vast sector, from small scale subsistence farming to large commercial plantations involving various processes and actors depending on the context and produce.
  • Value chain analysis of the agricultural practice in each context can be beneficial to mapping appropriate corruption risks and mitigation strategies.
  • Anti-corruption measures can include but are not limited to TAAPE (transparency, awareness, accountability, prevention, and enforcement), use of social accountability strategies, whistleblower protection and innovation in agricultural practices.
  • Contextual analysis is vital.

Cite this publication


Rahman, K. (2022) Anti-corruption measures for reducing corruption in agriculture. Bergen: U4 Anti-Corruption Resource Centre, Chr. Michelsen Institute (U4 Helpdesk Answer 2022:3)

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About the author

Kaunain Rahman

Kaunain received her Master's in Corruption and Governance from The Centre for the Study of Corruption at the University of Sussex in the UK where her focus area of research was corruption in international business. She works as Research Coordinator at Transparency International (TI), and her main responsibilities lie with the Anti-Corruption Helpdesk.

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All views in this text are the author(s)’, and may differ from the U4 partner agencies’ policies.

This work is licenced under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence (CC BY-NC-ND 4.0)

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