Cumulative Impulse Response of Urbanization to GDP and Energy Consumption

A dataset containing cumulative impulse response results from a vector autoregressive model analyzing the dynamic relationship between urbanization, economic growth, and energy consumption. The data was authored by Lei Xie and published on figshare under a CC-BY-4.0 license, with a last update in May 2026. The 5.5 KB XLS file likely contains numerical outputs from econometric analysis.

Use Cases

• Modeling the dynamic correlation between energy consumption and economic growth based on the vector autoregressive analysis described.
• Testing Granger causality relationships among urbanization, GDP, and energy use as indicated in the research.
• Analyzing the fluctuating impact of energy consumption on environmental quality, which the description states varied between 0.2 and 0.4.
• Informing urban planning and energy strategy adjustments based on the reciprocal influence between energy and the economy.

Strengths

• Data is openly licensed under CC-BY-4.0, permitting reuse and redistribution.
• File size is 5.5 KB, indicating a compact and focused dataset.
• The description references specific methodological enhancements, such as improved convergence of a differential evolution algorithm.

Limitations

• Row count is unknown, which may limit suitability assessment for modeling tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), suggesting limited scope or aggregated summary results rather than raw observational data.

Provenance

Source

figshare, authored by Lei Xie.

Collection Method

Likely contains results from a vector autoregressive model integrated with heteroskedasticity and differential evolution algorithms, as described.

Time Range

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Freshness

Last updated 2026-05-04 17:41:35; freshness should be verified.

Geography

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