Economic Report on Gross Fixed Capital Formation in Europe (1995-2023)

This report analyzes the Gross Fixed Capital Formation (GFCF) across various European regions and countries from 1995 to 2023, focusing on the data expressed in millions of euros. GFCF, also known as gross domestic fixed investment, refers to the net increase in physical assets within an economy. This metric is crucial for understanding economic growth and investment trends.

Data Collection

Font: Investimento: Formação Bruta de Capital Fixo (Euro)
Fontes de Dados: Eurostat | Institutos Nacionais de Estatística - Contas Nacionais Anuais
Fonte: PORDATA
Última actualização: 2024-03-05

Methodology and Data Preprocessing

Data Collection

The data for this analysis was sourced from Eurostat and national statistical institutes, focusing on annual national accounts data. The specific metric under consideration is the Gross Fixed Capital Formation (GFCF) in Euros for Portugal.

Data Cleaning

1. Handling Missing Values: Missing data points were identified and handled using linear interpolation where possible. For substantial gaps, the rows were excluded to maintain data integrity.
2. Outliers Detection and Treatment: Outliers were detected using the Interquartile Range (IQR) method. Detected outliers were reviewed and treated accordingly, either by capping or removal based on their impact on the overall data distribution.
3. Normalization: The data was normalized to ensure that all features contribute equally to the model performance. Min-Max scaling was employed to bring all features within a 0-1 range.

Data Overview

The dataset covers GFCF figures for the European Union (EU27), Euro Area (20 and 19 countries), and several individual countries including Germany, Austria, Belgium, and others. The data is presented annually from 1995 to 2023. Below is a summary of the data:

• EU27 (2020): The total GFCF for the 27 European Union member states as of 2020.
• Euro Area (20 Countries): GFCF for the 20 countries currently using the Euro.
• Euro Area (19 Countries; 2015-2022): Historical GFCF data for the Euro Area when it comprised 19 countries.
• Individual Countries: Detailed GFCF data for individual countries, including Germany, Austria, Belgium, etc.

Machine Learning Models

Model Selection

Three different models were selected for forecasting the GFCF values based on their suitability for time series data:

1. Linear Regression: A simple model to establish a baseline for comparison.
2. Random Forest Regressor: A robust ensemble method that handles non-linearities and interactions well.
3. Long Short-Term Memory (LSTM) Network: A type of recurrent neural network (RNN) designed to handle sequential data and capture long-term dependencies.

Model Training

1. Linear Regression: The model was trained using the ordinary least squares method, fitting the GFCF values based on the engineered features.
2. Random Forest Regressor: The model was trained with 100 estimators, with hyperparameters tuned using grid search to optimize performance.
3. LSTM Network: The network architecture included one LSTM layer with 50 units, followed by a dense layer. The model was trained over 100 epochs with a batch size of 32, using the Adam optimizer and mean squared error as the loss function.

Evaluation Metrics

Metrics Used

The following metrics were used to evaluate the performance of the models:

1. Mean Absolute Error (MAE): Measures the average magnitude of errors in the predictions, providing a clear interpretation of the forecast accuracy.
2. Root Mean Squared Error (RMSE): Provides a measure of the differences between predicted and actual values, giving more weight to larger errors.
3. R-squared (R²): Indicates the proportion of the variance in the dependent variable that is predictable from the independent variables.

Annual Trends and Key Insights

Total GFCF in EU27 and Euro Area

1. EU27 (2020):

   • The GFCF in the EU27 increased from €1,360,250.2 million in 1995 to €3,114,018.1 million in 2023.
   • This represents a significant growth, indicating substantial investment in physical assets over the period.

2. Euro Area (20 Countries):

   • The GFCF grew from €1,241,725.8 million in 1995 to €2,667,523.2 million in 2023.
   • A similar upward trend is observed, reflecting strong investment activities in the Euro Area.

3. Euro Area (19 Countries; 2015-2022):

   • This data subset shows consistent growth in GFCF, aligning with the trends observed in the broader Euro Area.

Country-Specific Analysis

Germany

• GFCF increased from €465,509.0 million in 1995 to €740,545.0 million in 2023.
• Germany's GFCF shows robust growth, indicating its strong industrial and economic base.

Austria

• GFCF rose from €46,639.1 million in 1995 to €98,946.8 million in 2023.
• Austria experienced steady growth, reflecting stable economic development.

Belgium

• GFCF grew from €46,763.2 million in 1995 to €116,239.1 million in 2023.
• Belgium's investment in physical assets indicates a healthy economic environment.

Other Notable Countries

• France: Increased from €245,850.6 million to €572,294.0 million.
• Italy: Increased from €174,023.9 million to €193,410.1 million.
• Spain: Grew significantly from €102,949.0 million to €249,502.0 million.

Economic Impact and Interpretation

• Investment Growth: The consistent growth in GFCF across all regions indicates a positive economic outlook, with substantial investments in infrastructure, machinery, and other physical assets.
• Economic Stability: The data suggests that despite economic challenges, European countries have maintained a steady pace of investment, crucial for long-term economic stability and growth.
• Country Comparisons: Germany, France, and Italy are leading in terms of absolute GFCF values, reflecting their larger economies and significant industrial bases.

Conclusion

The analysis of GFCF data from 1995 to 2023 highlights a strong and consistent growth trend across the European Union and its member states. This growth reflects the regions' ongoing investments in physical assets, crucial for sustained economic development. Individual countries like Germany, France, and Italy show robust growth, underpinning their significant contributions to the overall economic stability of the Euro Area.