Sequential Smoothness Test Results for Urban Economy and Energy Dynamics

5.5 KB Excel file by Lei Xie, last updated in 2026, containing results from a dynamic correlation analysis between urban economic expansion and energy usage. The study integrates heteroskedasticity and differential evolution algorithms to bolster a vector autoregressive model, identifying Granger causality among urbanization, growth, consumption, and environmental quality. The methodology is described as accurately mirroring actual economic and energy conditions.

Use Cases

• Modeling dynamic correlations between energy consumption and economic growth based on the described vector autoregressive framework.
• Testing Granger causality among urbanization, economic growth, energy use, and environmental quality as indicated in the study.
• Analyzing the fluctuating impact of energy consumption on environmental quality (0.2 to 0.4) and its rising impact on economic growth (to 0.4).
• Evaluating the convergence and solution set distribution of differential evolution algorithms for economic-energy models.

Strengths

• File size is 5.5 KB, indicating a compact and likely focused dataset.
• License is CC-BY-4.0, permitting broad reuse with attribution.
• Description provides specific impact ranges (e.g., 0.2 to 0.4) for energy consumption on environmental quality.

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

Lei Xie via figshare

Collection Method

Likely contains results from a dynamic correlation analysis integrating heteroskedasticity and differential evolution algorithms with a vector autoregressive model.

Time Range

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Freshness

Last updated 2026-05-04 17:41:25; freshness should be verified.

Geography

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