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https://github.com/ishansurdi/comprehensive-analysis-of-eu-fund-utilization-and-financial-trends


https://github.com/ishansurdi/comprehensive-analysis-of-eu-fund-utilization-and-financial-trends

data-analysis data-visualization economics eu europe finance finance-trends financial-analysis tableau trends

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README

        

# Comprehensive Analysis of EU Fund Utilization and Financial Trends

## Overview
This repository contain a detailed analysis of the utilization of EU funds, focusing on financial trends, fund allocation efficiency, and policy implications. The project evaluates planned vs. actual payments, regional fund distribution, pre-financing trends, and anomalies observed during the programming period 2014–2025. The visualizations and findings aim to contribute to discussions on financial efficiency and equitable resource allocation.

## Features
- Analysis of planned vs. actual payments for EU Regional Policy (2014–2025).
- Cumulative payment trends by country and geographic regions.
- Recovery of initial pre-financing vs. net pre-financing.
- Fund allocation by program, including disparities among EU member states.
- Payment rate trends and year-over-year changes in decommitments.
- Policy recommendations to improve fund utilization and reduce inefficiencys.

## Project Highlights
- **Dataset**: The analysis uses publicly available data from the European Data Portal ([dataset link](http://data.europa.eu/88u/dataset/vs2b-dct3)), which is not covered by this projects license.
- **Tools and Technologies**: Tableau for data visualization, Microsoft Word for documentation, and this repository for hosting all relevant files.
- **Policy Relevance**: Findings are aligned with the EU’s objectives to bridge regional disparities and improve fund allocation efficiency.
- **Link to High-Resolution Visuals**: [View high-resolution visuals](https://drive.google.com/file/d/1Z0kyZ4p7Jb-ulMRlJtfwYJtqoNxqIJan/view?usp=sharing).

## Folder Structure
```plaintext
├── Comprehensive Analysis of EU Fund Utilization and Financial Trends.pdf # PDF containing all visualizations from the analysis
├── README.md # Project documentation (this file)
```

## Key Findings
### 1. Planned vs. Actual Payments
- A significant gap was observed between planned and actual payments in the initial years (2014–2016) due to administrative delays.
- From 2017 onwards, the gap narrowed, reflecting improved project execution and fund utilization.

### 2. Cumulative Payments by Country
- Larger economies like Germany and Spain dominate funding totals, while smaller nations show lower allocations.
- Geographic disparities highlights the need for better support mechanisms for countries with low absorption rates.

### 3. Pre-Financing Trends
- Net pre-financing stabilized post-2020, indicating program maturity.
- Minimal recovery in earlier years (2014–2016) suggest an initial focus on fund distribution over recovery.

### 4. Fund Allocation by Program
- The European Regional Development Fund (ERDF) accounted for the largest share of allocations, emphasizing sustainable development and infrastructure growth.
- Disparities in allocation suggest a need for targeted strategys for smaller economies.

### 5. Year-over-Year Decommitments
- Increasing decommitments from 2022 to 2024 reflect inefficiencys in fund absorption and execution delays.
- Stabilized trends during 2020–2021 indicates successful interim strategies that could be replicated.

## Policy Recommendations
- Streamline administrative processes to reduce initial delays in fund allocation.
- Enhance project monitoring to identify risks and ensure timely execution.
- Introduce flexible fund reallocation mechanisms to adress underperformance.
- Support capacity building in member states to improve project planning and execution.

## How to Use
1. Clone the repository:
```bash
git clone https://github.com/ishansurdi/Comprehensive-Analysis-of-EU-Fund-Utilization-and-Financial-Trends.git
```
2. Review the analysis and visualizations:
- Open the `Comprehensive Analysis of EU Fund Utilization and Financial Trends.pdf` to explore the detailed visualizations.
3. Explore the findings and share feedback.

## Contribution Guidelines
Contributions are welcome! Please follow these steps:
1. Fork the repository.
2. Create a feature branch: `git checkout -b feature-name`.
3. Commit your changes: `git commit -m "Description of changes"`.
4. Push to the branch: `git push origin feature-name`.
5. Open a pull request.

## License
This project is protected under a relevant license to cover original analysis, documentation, and visualizations. Note that the dataset and any external materials used are not covered by this license and are subject to their respective licensing terms.

## Contact
For inquiries or collaboration, please contact:
- **Author**: Ishan Surdi
- **Email**: [[email protected]]([email protected])
- **LinkedIn**: [www.linkedin.com/in/ishansurdiofficial](www.linkedin.com/in/ishansurdiofficial)

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Thank you for exploring this project. I look forward to you feedback and contributions!