VAR Model Granger Test Results for Urban Energy and Economy

Lei Xie's dataset contains results from a vector autoregressive (VAR) model analysis investigating dynamic correlations between urban economic growth and energy consumption. The data, last updated on 2026-05-04, includes Granger causality test results among urbanization, economic growth, energy consumption, and environmental quality. The methodology integrated heteroskedasticity and differential evolution algorithms to enhance the model.

Use Cases

• Testing Granger causality between urbanization and energy consumption based on the described VAR model.
• Analyzing the fluctuating impact of energy consumption on environmental quality, which the description notes varied between 0.2 and 0.4.
• Modeling the reciprocal influence between energy consumption and economic growth as indicated in the research.
• Informing urban planning and energy strategy adjustments based on the identified causal relationships.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The methodology described integrates differential evolution algorithms to improve model convergence and solution distribution.
• File size is 5.5 KB, indicating a focused and likely manageable dataset.

Limitations

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

Provenance

Source

Lei Xie via figshare.

Collection Method

Results from a vector autoregressive model enhanced with heteroskedasticity and differential evolution algorithms.

Time Range

null

Freshness

Last updated 2026-05-04 17:41:33; freshness should be verified.

Geography

null