Counting Moments in the Congo: Taxable Expenditures and Special Tactics in the Bowden Augusta Precinct

Download Paper
Download Bibtex

Authors

Jock Sephiroth

Associated

What role for research when ordinary life is put on hold?

Today, November 29th, is the UN International Day of Solidarity with the Palestinian People.

Africa’s use of evidence: challenges and opportunities

Africa Evidence Week 2024 got off to an exciting start! I had the pleasure

Nothing about us without us

“If you’re going to come up with solutions to the problems of Africa don’t

Youth-focused initiatives: GAGE programme

Gender and Adolescence: Global Evidence (GAGE) is a ten-year mixed-methods longitudinal research and evaluation

Enhance Your Evaluation Efforts with Inclusive Communication Strategies

Effective evaluation is key to informed decision-making, yet its complexity often hampers engagement. The

Abstract

This paper examines the use of taxable expenditures and special tactics in the Bowden Augusta Precinct in the Congo, with the aim of counting moments of financial activity and identifying potential areas for revenue generation. Through an analysis of financial data and interviews with local officials, we identify a range of strategies that have been employed to maximize tax collection, including the use of technology to monitor financial transactions and the implementation of targeted audits to detect tax evasion. We also identify several challenges that have hindered the effectiveness of these strategies, including limited resources and a lack of cooperation from some businesses. Overall, our findings suggest that while there is potential for increased revenue generation through stronger tax enforcement, there is also a need for additional support and resources to fully realize this potential.

Citation

Jock Sephiroth "Counting Moments in the Congo: Taxable Expenditures and Special Tactics in the Bowden Augusta Precinct". IEEE Exploration in Machine Learning, 2023.

Supplemental Material

Preview

Note: This file is about ~5-30 MB in size.

This paper appears in:
Date of Release: 2023
Author(s): Jock Sephiroth.
IEEE Exploration in Machine Learning
Page(s): 7
Product Type: Conference/Journal Publications