Journal
ENERGY ECONOMICS
Volume 114, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.eneco.2022.106272
Keywords
Green finance; Green technology; Carbon efficiency; Wavelet-based quantile on quantile method
Categories
Funding
- National Natural Science Foundation of China [72073113]
- Fundamental Research Funds for the Central Universities [2072021055]
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This research applies the wavelet-based quantile on quantile method to explore the impact of green finance (GF) on green technology (GT) and carbon efficiency (CE). The results show mixed effects across different market sizes and conditions, with positive effects in the bull market and negative effects in the bear market. The findings highlight the need for the government to establish evaluation systems and information disclosure criteria compatible with GT and CE, in order to improve the accuracy of GF support and promote sustainable development.
The environmental crisis and resource dilemma are serious challenges exposed to the world, which has placed sustainable development on the priority agenda. This research applies the wavelet-based quantile on quantile method to explore the impact of green finance (GF) on two basic drivers of sustainability: green technology (GT) and carbon efficiency (CE). We find mixed results between them across different market sizes and conditions in the short to medium term. Concerning the scenario of the long run, the positive effects can be captured in the bull GF market, while it performs the negative influence in the bear market. Therefore, our findings reveal that the GF is not always a blessing for GT and CE. The results are corroborated by the related theoretical mechanism, which highlights their inherent interaction. In this regard, the government should act as a catalyst to accelerate the establishment of an evaluation system and information disclosure criteria that are compatible with GT and CE, thereby improving the accuracy of GF support and promoting sustainable development.
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