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Impact Factors and Policy Effectiveness of Renewable Energy Generation in China: Insights from a Multi-Scenario Bayesian Analysis

2026-03-05

Abstract excerpt

This study develops a hybrid analytical framework that bridges data-driven K2 structural learning with expert-informed Bayesian Networks to decrypt the intricate interdependencies among policy instruments, resource endowments, and socio-economic variables across China’s hydropower, wind, and solar power. The results demonstrate a fundamental paradigm shift from resource-bound growth to institutional-steered expans...

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Literature Corpus work
3c772a65-9f4a-5c20-88f8-76b44b6149ef
DOI
10.20944/preprints202603.0412.v1
Open publication

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Impact Factors and Policy Effectiveness of Renewable Energy Generation in China: Insights from a Multi-Scenario Bayesian AnalysisDOI 10.20944/preprints202603.0412.v1
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