ARCH Effect Test Results for Urban Energy and Economic Dynamics

ARCH effect test results from a study integrating heteroskedasticity and differential evolution algorithms into a vector autoregressive model. The 5.5 KB Excel file, authored by Lei Xie and last updated in May 2026, explores the dynamic correlation between urban economic expansion and energy consumption. Granger causality was identified among urbanization, economic growth, energy consumption, and environmental quality.

Use Cases

• Modeling dynamic correlations between energy consumption and economic growth based on the vector autoregressive framework mentioned.
• Testing for Granger causality among urbanization, economic growth, energy consumption, and environmental quality variables.
• Analyzing the fluctuating impact of energy consumption on environmental quality (0.2 to 0.4) and economic growth (rising to 0.4) as described.
• Evaluating algorithm convergence and solution set distribution for differential evolution strategies applied to economic models.

Strengths

• File size is precisely 5.5 KB, indicating a compact and focused dataset.
• License is clearly defined as CC-BY-4.0, permitting broad reuse.
• Last update timestamp is provided (2026-05-04 17:41:30).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Results from a study integrating heteroskedasticity and differential evolution algorithms into a vector autoregressive model.

Time Range

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Freshness

Last updated 2026-05-04 17:41:30; freshness should be verified.

Geography

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