Estimated Lag Order Results for Urban Energy-Economy VAR Model

5.5 KB of experimental results from a study integrating differential evolution algorithms into a vector autoregressive model to analyze the dynamic correlation between urban economic expansion and energy usage. The dataset, authored by Lei Xie and shared under a CC-BY-4.0 license, contains estimated lag order results from an Augmented Dickey-Fuller test. Results indicate Granger causality among urbanization, economic growth, energy consumption, and environmental quality.

Use Cases

• Calibrating vector autoregressive models based on estimated lag order results
• Analyzing Granger causality between economic and environmental variables as described in the study
• Testing the impact of differential evolution algorithm improvements on model convergence
• Informing urban planning and energy strategy adjustments based on the described fluctuating impacts

Strengths

• Dataset is shared under a permissive CC-BY-4.0 license
• File size is precisely known at 5.5 KB
• Author and last update date (2026-05 04) are explicitly provided

Limitations

• Row count and column definitions are unknown, limiting suitability assessment
• Description metadata is limited; actual data quality and structure require manual inspection after download

Provenance

Source

figshare

Collection Method

Results from a research study applying differential evolution algorithms to a vector autoregressive model.

Time Range

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Freshness

Last updated 2026-05-04 17:41:26

Geography

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