Electricity generation from renewable and non-renewable energy sources in China: The role of environmental policy stringency, FDI, and economic growth

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F25%3A106013" target="_blank" >RIV/60460709:41110/25:106013 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0360544225003378" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0360544225003378</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.energy.2025.134695" target="_blank" >10.1016/j.energy.2025.134695</a>

Result language
angličtina
Original language name
Electricity generation from renewable and non-renewable energy sources in China: The role of environmental policy stringency, FDI, and economic growth
Original language description
The wave of industrialization and globalization comes with increased energy demand. To curb rising emissions levels in China, energy production from renewable sources (EPR) is imperative. Therefore, this study assesses the effects of environmental policy stringency (EPS), economic growth, and FDI on EPR and non-renewable sources (EPNR) in China from 1989 to 2022 using the novel wavelet quantile correlation (WQC) approach. The WQC shows different directions and magnitudes of the relationship between the variables across all quantile distributions. The results reveal that EPS tames EPNR over the short run but increases it over the medium and long-run periods. FDI increases EPNR over the short run, with opposite impacts in the medium- and long-run periods. Furthermore, FDI increases EPR in the medium- and long-run periods. However, FDI reduces EPR across all quantile levels in the short run. Although economic growth has a significant negative association with EPNR in the long run, its association with EPR was significantly positive across all quantiles in the long-run period. Relevant policy prescriptions targeted at increasing EPR have been discussed alongside the directions for future studies.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20704 - Energy and fuels

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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