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Energy management

Investigating the Role of Green Energy Efficiency in Climate Policy: A Study from the University of Science and Technology of China

Strategic Insights

— 2 min read

Researchers from the University of Science and Technology of China have conducted a study to examine the relationship between green energy efficiency (GEE) and climate policy, specifically focusing on the mediating and moderating roles of climate funding (CF) and green credit (GC). The study, published in the SAGE Open journal, recruited environmental officers from 227 local government sectors in six African countries to participate in an online questionnaire. Using Structural Equation Modeling (SEM), the findings revealed that GEE has a direct impact on CF and an indirect impact on policy performance (PP). However, the partial mediation of CF has an inverse moderation effect on the relationship between GEE and PP, indicating that the relationship between GEE and PP is dampened by GC.

Key Takeaways:

  • The study suggests that green energy efficiency (GEE) is a critical factor in climate policy, with a direct impact on climate funding (CF) and an indirect impact on policy performance (PP).
  • The findings reveal that GEE has a significant effect on CF, but this effect is moderated by green credit (GC), indicating that GC can influence the relationship between GEE and CF.
  • Policy makers are recommended to prioritize GEE as a basis for ecological policies to ensure sustainability and meet the requirements of the Sustainable Development Goals (SDGs) for green policy optimization.
  • The study highlights the importance of incorporating climate funding (CF) and green credit (GC) into climate policy to optimize green energy efficiency (GEE) and promote comprehensive environmental efficiency.
  • The research contributes to the understanding of the complex relationships between green energy efficiency, climate funding, and green credit in the context of climate policy.

Statistics:

  • The study recruited 227 environmental officers from six African countries.
  • The online questionnaire had a high response rate, with a statistically significant enough sample size to analyze.
  • The Structural Equation Modeling (SEM) using Smart-PLS and the Hayes Process Model for mediation and moderation analysis revealed significant effects of GEE on CF and PP.
  • The study found that GEE has a direct statistical significance on climate funding (CF) and indirect significance with policy performance (PP).
  • The partial mediation of CF had significance with GEE, with an inverse moderation effect on the relationship between GEE and PP.

Sources:

  • "Should Green Energy Efficiency Drive Policy? The Mediating and Moderating Roles of Climate Funding and Green Credit" - SAGE Open, 2025, 15.
  • SAGE Publishing
  • DOI: 10.1177/21582440251384071
  • University of Science and Technology of China
  • Department of Communication of Science and Technology, School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, Anhui, People's Republic of China.

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