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Climate risk and renewable energy development: the non-linear moderating role of institutional environment

Xianfeng Luo & Qian Ding

Quantitative Finance and Economics2025https://doi.org/10.3934/qfe.2025017article
AJG 1
Weight
0.37

What the paper says

Using a panel smooth transition regression (PSTR) model, this study investigated the nonlinear impacts of climate risk on renewable energy development (RED) under different regimes of institutional environment, covering the panel data of 85 countries over the period of 2000–2022. The results show that climate risk negatively affects RED, and it exhibits nonlinear transformation characteristics under different regimes. Climate risk has differential impacts on RED in different types of institutional environments; however, the negative impacts of climate risk on RED can be mitigated in a stable economic and financial environment. In addition, the negative effects of climate risk are more pronounced in low-income countries than in high-income countries. Our findings have important implications for addressing the challenges of climate change and achieving sustainable development.

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https://doi.org/https://doi.org/10.3934/qfe.2025017

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@article{xianfeng2025,
  title        = {{Climate risk and renewable energy development: the non-linear moderating role of institutional environment}},
  author       = {Xianfeng Luo & Qian Ding},
  journal      = {Quantitative Finance and Economics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.3934/qfe.2025017},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.