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An evaluation of anti-corruption measures in Nigerian revenue agencies: A case of the Federal Inland Revenue Service (FIRS) in Gombe State

  • Project Research
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  • Table of Content: Available
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  • NGN 5000

Background of the Study

Corruption has long been a major challenge in Nigerian public institutions, including revenue agencies such as the Federal Inland Revenue Service (FIRS), which is tasked with tax collection and financial accountability (Bamidele & Adebayo, 2023). The FIRS plays a crucial role in the Nigerian economy, ensuring that businesses and individuals comply with tax laws. However, corruption within the agency can undermine national revenue generation efforts, disrupt economic growth, and create an atmosphere of distrust between the public and the government.

In Gombe State, the FIRS faces challenges in ensuring tax compliance due to inadequate internal controls, lack of transparency, and the persistence of corrupt practices among some staff members. To address these issues, the Nigerian government has implemented several anti-corruption measures within the FIRS, including the introduction of e-tax systems, anti-corruption training for employees, and the establishment of monitoring bodies. However, the effectiveness of these measures in curbing corruption and promoting transparency in tax administration remains a subject of debate. This study aims to evaluate the anti-corruption measures in place within the FIRS in Gombe State and assess their impact on improving revenue collection and reducing corrupt practices.

Statement of the Problem

The Federal Inland Revenue Service (FIRS) in Nigeria has been plagued by corruption, which undermines the agency’s efforts to generate revenue and promote transparency in tax administration. Despite various anti-corruption initiatives, the persistence of corrupt practices within the agency remains a significant challenge, especially in states like Gombe. This study seeks to evaluate the effectiveness of the anti-corruption measures implemented by the FIRS in Gombe State, examining how these efforts have affected the agency’s performance and public trust in the tax system.

Objectives of the Study

  1. To evaluate the effectiveness of anti-corruption measures implemented by the FIRS in Gombe State.
  2. To assess the impact of these measures on revenue generation and tax compliance.
  3. To recommend strategies for improving anti-corruption efforts within the FIRS in Gombe State.

Research Questions

  1. How effective are the anti-corruption measures implemented by the FIRS in Gombe State in curbing corrupt practices?
  2. What impact have these measures had on revenue generation and tax compliance in Gombe State?
  3. What additional strategies can be implemented to enhance the anti-corruption efforts of the FIRS in Gombe State?

Research Hypotheses

  1. H1: Anti-corruption measures implemented by the FIRS in Gombe State significantly reduce corrupt practices within the agency.
  2. H2: Anti-corruption measures have a positive effect on revenue generation and tax compliance in Gombe State.
  3. H3: Strengthening anti-corruption measures within the FIRS leads to improved public trust and compliance with tax regulations.

Scope and Limitations of the Study

This study will focus on the Federal Inland Revenue Service (FIRS) in Gombe State and evaluate the impact of its anti-corruption measures on improving tax administration and reducing corruption. Limitations include potential biases in self-reporting from FIRS staff and the difficulty in isolating the effect of anti-corruption measures from other factors that influence revenue generation.

Definitions of Terms

  • Anti-Corruption Measures: Policies and strategies aimed at preventing, detecting, and addressing corruption within an organization.
  • Revenue Generation: The process by which government agencies collect taxes, duties, and other financial contributions from businesses and individuals.
  • Tax Compliance: The act of adhering to tax laws and regulations, including the payment of taxes as required by the government.




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