Background of the Study
Social infrastructure, including healthcare facilities, schools, roads, and water supply systems, is fundamental to economic development and improved living standards. Effective budget allocation is critical for the development and maintenance of such infrastructure. Lagos State, as Nigeria’s commercial hub, faces increasing demands for social infrastructure due to its rapid urbanization and population growth, which is estimated at over 20 million people (World Bank, 2023).
Budget allocation for social infrastructure in Lagos has been a central focus of successive administrations, with efforts directed at improving transportation networks, education, and healthcare facilities. However, the adequacy, efficiency, and impact of these allocations on infrastructure development remain topics of concern. While significant resources are allocated, challenges such as corruption, mismanagement, and project delays often impede desired outcomes (NBS, 2024).
This study evaluates the relationship between budget allocation and the development of social infrastructure in Lagos State, providing insights into how financial planning influences developmental outcomes.
Statement of the Problem
Despite substantial budgetary provisions for social infrastructure, Lagos State continues to grapple with issues such as inadequate healthcare facilities, congested roads, and insufficient public utilities. Questions have arisen regarding whether budget allocations are effectively utilized to address these challenges.
Existing research on budget allocation in Nigeria often overlooks the impact on infrastructure development at the state level. Addressing this gap is essential for ensuring that public funds are optimally used to improve social infrastructure in Lagos State.
Objectives of the Study
Research Questions
Research Hypotheses
Scope and Limitations of the Study
The study focuses on budget allocation and its impact on social infrastructure development in Lagos State from 2019 to 2025. Limitations include the availability of accurate data and the complexity of isolating budgetary effects from other influencing factors.
Definitions of Terms
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