Application of Cost Engineering as a Tool For Budgetary Forecasting and Control in Municipal Public Works: (Case Study, Municipal Administration of Cacuaco 2023-2026)
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This research analyzes the application of Cost Engineering as a tool for forecasting and budgetary control in municipal public works, using the Municipal Administration of Cacuaco as a case study between 2023 and 2026. The study aimed to understand how Cost Engineering contributes to financial efficiency, mitigation of budget deviations, and improvement of transparency in municipal public management. The research is framed within the pragmatic paradigm, adopting a mixed-methods approach (qualitative and quantitative) with descriptive and explanatory characteristics. Data collection was conducted through document analysis, semi-structured interviews, and participatory observation, involving a sample of 30 participants composed of managers, financial technicians, and officials responsible for planning and executing public works. Quantitative data were analyzed using descriptive statistics, while qualitative data were treated through thematic content analysis. The findings reveal that 90% of participants acknowledge the application of Cost Engineering within the Municipal Administration of Cacuaco, while 97% consider this tool relevant for forecasting and budgetary control in public works. The main benefits identified include financial risk mitigation, accurate cost estimation, improved budget planning, and reinforcement of administrative efficiency. The results further demonstrate that Cost Engineering contributes to reducing waste, improving decision-making, and strengthening accountability in municipal management. The study concludes that Cost Engineering is a strategic instrument for the modernization of municipal public administration, promoting better resource allocation, financial sustainability, and transparency in public works execution. However, challenges remain regarding technical staff training, digitalization of control systems, and consolidation of institutional monitoring practices.
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