Northeast China Industrial Growth Data and SARIMA-LSTM Analysis (2000-2024)

This comprehensive dataset supports the research paper "A Technical Framework for Data-Driven Industrial Transformation in Northeast China" analyzing industrial transformation patterns across five major Chinese regions from 2000 to 2024.

**Dataset Contents:**

1. **Main Time Series Data** (industrial_growth_data_2000_2024.csv)
- 293 monthly observations of industrial value-added growth rates
- Five regions: Liaoning, Beijing, Jiangsu, Shanghai, Guangdong
- Price-adjusted growth rates (%) from National Bureau of Statistics
- Time span: January 2000 - October 2024

2. **Regional Comparison Data** (shenfu_regional_comparison_data.csv)
- 24 monthly observations for policy impact analysis
- Shenyang-Fushun Demonstration Zone vs. other regions
- Time span: 2020-2024

3. **Comprehensive Economic Indicators** (comprehensive_economic_indicators.csv)
- 52 quarterly observations of multiple economic metrics
- Fixed asset investment, industrial output, fiscal indicators
- Supporting data for multi-dimensional analysis

4. **Analysis Code** (analysis_code_SARIMA_LSTM.py)
- Complete Python implementation of SARIMA and LSTM models
- Data preprocessing and visualization functions
- Regional coordination analysis algorithms

**Research Applications:**
- Time series forecasting using SARIMA and LSTM neural networks
- Regional development pattern analysis
- Policy intervention impact assessment
- Industrial transformation trend identification

**Technical Requirements:**
- Python 3.8+
- pandas, numpy, matplotlib, seaborn libraries
- For SARIMA/LSTM modeling: statsmodels, tensorflow/keras

**How to Reproduce Results:**
1. Download all files
2. Install required Python packages
3. Update file paths in the Python script
4. Run analysis_code_SARIMA_LSTM.py

**Related Publication:**
Chen, Y., & Li, D. (2024). A Technical Framework for Data-Driven Industrial Transformation in Northeast China. The European Journal of Applied Economics.

**Data Source:** National Bureau of Statistics of China, Regional Statistical Yearbooks
**Collection Period:** 2000-2024
**Geographic Coverage:** Northeast China (Liaoning) and comparative regions
**Temporal Resolution:** Monthly and quarterly data