Threshold Effects on South Africa’s Renewable Energy–Economic Growth–Carbon Dioxide Emissions Nexus: A Nonlinear Analysis Using Threshold-Switching Dynamic Models
Luyanda Majenge; Sakhile Mpungose; Simiso Msomi · 2025 · Energies
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
The transition of South Africa from coal-dependent energy systems to renewable energy alternatives presents economic and environmental trade-off complexities that require empirical investigation. This study employed threshold-switching dynamic models, NARDL analysis, and threshold Granger causality tests to investigate nonlinear relationships between renewable energy generation, economic growth, and carbon dioxide emissions in South Africa from 1980 to 2023. The threshold-switching dynamic models revealed critical structural breakpoints: a 56.4% renewable energy threshold for carbon dioxide em
Abstract by Luyanda Majenge; Sakhile Mpungose; Simiso Msomi, Energies (2025) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
The Oregon Experiment — Effects of Medicaid on Clinical Outcomes
Negative / Null Result ReportMicrocredit in Theory and Practice: Using Randomized Credit Scoring for Impact Evaluation
Negative / Null Result ReportThe Cost of Carbon: Capital Market Effects of the Proposed Emission Trading Scheme (ETS)
Negative / Null Result ReportPushing on a string: US monetary policy is less powerful in recessions ∗
Negative / Null Result ReportThe Evidence on Globalisation
Negative / Null Result ReportStatistical tests for power-law cross-correlated processes
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.3390/en18174642
