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An examination of the economic consequences of kidnapping on businesses in Uromi Local Government Area, Edo State

  • Project Research
  • 1-5 Chapters
  • Abstract : Available
  • Table of Content: Available
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  • NGN 5000

Background of the Study:
Kidnapping has emerged as a critical socio-economic issue in various regions, with significant economic consequences for businesses. In Uromi LGA, Edo State, the prevalence of kidnapping incidents has raised concerns about business operations, investment climates, and overall economic stability (Ibrahim, 2023). This study examines the multifaceted economic consequences of kidnapping on local businesses, exploring how security threats affect business continuity, consumer confidence, and investor perceptions. The disruption caused by kidnapping extends beyond direct financial losses, influencing supply chains, employee productivity, and market reputation (Adeyemi, 2024). Additionally, increased security costs and operational uncertainties have compelled businesses to divert resources away from growth initiatives. Previous research suggests that security challenges like kidnapping can have a profound impact on local economies, stifling entrepreneurial activities and deterring new investments (Obi, 2023). By integrating quantitative data on business performance with qualitative insights from business owners, this study aims to provide a comprehensive assessment of the economic impact of kidnapping. The findings will offer insights into risk management practices and inform strategies to safeguard businesses against fraudulent activities, thereby contributing to a more secure economic environment (Chukwu, 2025).

Statement of the Problem:
Financial fraud has increasingly disrupted local business operations in Owo LGA, leading to significant financial losses and undermining stakeholder trust. Businesses affected by fraudulent practices face challenges in maintaining operational integrity and accessing credit due to damaged reputations (Adeyemi, 2023). The lack of robust internal controls and regulatory oversight exacerbates the vulnerability of businesses to financial fraud (Olawale, 2024). This study seeks to identify the extent and impact of financial fraud on local businesses, and to propose effective measures for risk mitigation and enhanced financial governance (Chukwu, 2025).

Objectives of the Study:

  • To assess the prevalence of financial fraud among local businesses.
  • To evaluate the impact of financial fraud on business operations and financial performance.
  • To propose risk mitigation strategies to protect businesses from fraud.

Research Questions:

  • How prevalent is financial fraud among local businesses in Owo LGA?
  • What are the primary effects of financial fraud on business performance?
  • What measures can effectively mitigate the risks of financial fraud?

Research Hypotheses:

  • H1: Financial fraud significantly negatively impacts local business performance.
  • H2: Lack of robust internal controls increases the susceptibility of businesses to fraud.
  • H3: Implementing strict financial governance measures reduces the incidence of fraud.

Significance of the Study:
This study is significant as it examines the detrimental effects of financial fraud on local businesses in Owo LGA. The findings will provide valuable insights for business owners, regulators, and policymakers to enhance financial oversight and implement effective risk management strategies. By addressing the challenges of financial fraud, the research contributes to improved business stability and economic growth (Chukwu, 2025).

Scope and Limitations of the Study:
This study is limited to analyzing the effect of financial fraud on local businesses in Owo LGA. It does not cover fraud in other sectors or regions outside Owo.

Definitions of Terms:

  • Financial Fraud: Deliberate deception to secure an unfair financial gain.
  • Internal Controls: Procedures implemented to safeguard business assets and ensure accurate financial reporting.
  • Risk Mitigation: Strategies designed to reduce potential losses from adverse events.




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