Residual Autocorrelation Test Results for Urban Economy and Energy Dynamics

5.5 KB of experimental results from a study integrating heteroskedasticity and differential evolution algorithms to bolster a vector autoregressive model. The data, authored by Lei Xie and last updated in May 2026, likely contains metrics from a dynamic correlation analysis between urban economic expansion, energy usage, and environmental quality. Granger causality was identified among these variables, with the impact on environmental quality fluctuating between 0.2 and 0.4.

Use Cases

• Testing Granger causality relationships between urbanization, economic growth, energy consumption, and environmental quality based on the described analysis.
• Calibrating vector autoregressive models with heteroskedasticity adjustments based on the methodology mentioned.
• Analyzing the fluctuating impact of energy consumption on environmental quality (0.2 to 0.4) and its rising impact on economic growth.
• Informing urban planning and energy strategy adjustments based on the reciprocal influence described between energy and the economy.

Strengths

• Data is licensed under CC-BY-4.0, permitting broad reuse.
• File size is 5.5 KB, indicating a focused and manageable dataset.
• The description provides specific impact ranges, such as the effect on environmental quality fluctuating from 0.2 to 0.4.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), suggesting limited scope or a highly specific analytical output.

Provenance

Source

figshare, author Lei Xie.

Collection Method

Likely generated from a dynamic correlation analysis integrating heteroskedasticity and differential evolution algorithms.

Time Range

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Freshness

Last updated 2026-05-04 17:41:29; freshness should be verified.

Geography

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