Empirical Test Results of the EKC Hypothesis on Urbanization, Energy, and Economy
by Lei Xie·Updated 1mo ago
5.5 KB1files
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Description
Lei Xie's 5.5 KB dataset from 2026 tests the Environmental Kuznets Curve (EKC) hypothesis using a modified vector autoregressive model. The experimental results indicate that the applied improvement strategy enhanced the convergence and solution set distribution of the differential evolutionary algorithm. Granger causality was identified among urbanization, economic growth, energy consumption, and environmental quality.
Use Cases
Test the Environmental Kuznets Curve (EKC) hypothesis based on the described analysis of economic growth and environmental quality.
Model dynamic correlations between energy consumption and economic expansion using the described vector autoregressive model enhancements.
Analyze Granger causality relationships among urbanization, energy use, and economic growth as mentioned in the description.
Inform urban planning and energy strategy adjustments based on the fluctuating impacts on environmental quality (0.2 to 0.4) and economic growth (rising to 0.4).
Strengths
Dataset is openly licensed under CC-BY-4.0.
File size is 5.5 KB, indicating a compact and focused dataset.
Description details a specific methodological approach integrating heteroskedasticity and differential evolution algorithms.
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
Likely contains results from a dynamic correlation analysis and Granger causality tests as described.
Time Range
null
Freshness
Last updated 2026-05-04 17:41:36; freshness should be verified.