Economic Growth and Environmental Quality - The Cas of West African Countries (ECOWAS)

Project Overview

This project explores the relationship between economic growth and environmental quality in West African countries using data-driven analysis. The project primarily focuses on evaluating environmental indicators such as air quality (PM2.5, Ozone) and economic indicators (GDP, nightlight intensity as a proxy for economic activity) across various countries in the region.

Table of Contents

• Project Overview
• Directory Structure
• Data Sources
• Analysis
• Plots and Visualizations
• Usage
• Contributing
• License

Directory Structure

The project is organized into the following directories:

• database/: Contains the raw data and processed datasets for various West African countries.

  • VERSION FINALE/: Final version of the datasets used in the analysis.
    • Each country has its own folder containing relevant data files, such as:
      • results.csv: Results from the analysis for that specific country.
      • documentation.pdf: Documentation explaining the data sources and methodology.
      • .geojson files: Geospatial data files used for mapping and spatial analysis.

• plots/: Contains various visualizations generated during the analysis, such as:

  • Kuznet-NL_Ozone.png: A plot showing the relationship between nightlight intensity and ozone levels.
  • PM2.5.png: A plot of PM2.5 levels across different regions.
  • And more related visualizations depicting various environmental and economic indicators.

• scripts/: Python and R scripts used for data processing, analysis, and visualization.

Data Sources

The data used in this project are sourced from reputable databases, including:

• Environmental data (e.g., air quality indices like PM2.5, Ozone).
• Economic data (e.g., GDP, nightlight intensity).
• Geospatial data for mapping and spatial analysis.

Please refer to the documentation.pdf files in the database/VERSION FINALE/ directories for detailed information about each dataset.

Analysis

The analysis is conducted using a combination of Python and R programming languages. Key analyses include:

• Environmental Kuznets Curve (EKC): Assessing the relationship between economic growth and environmental degradation.
• Geospatial Analysis: Mapping and spatial analysis of environmental indicators.
• Time-Series Analysis: Evaluating trends over time for economic and environmental indicators.

Plots and Visualizations

The plots/ directory contains visual representations of the analysis, including but not limited to:

• The relationship between economic indicators (e.g., GDP, nightlight intensity) and environmental quality (e.g., PM2.5, Ozone).
• Geospatial maps illustrating environmental quality across regions.

Usage

To replicate the analysis or explore the data:

1. Clone the repository:

   git clone https://github.com/yourusername/economic-growth-environment-west-africa.git

2. Install necessary dependencies:

   • Python: Install required packages using requirements.txt.
   • R: Install required libraries using the appropriate package manager (e.g., install.packages()).

3. Run the scripts:

   • Use the provided scripts in the scripts/ directory to process data and generate visualizations.

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, feel free to open an issue or submit a pull request.