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BRIEF RESEARCH REPORT article
Front. Environ. Sci.
Sec. Environmental Economics and Management
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1557902
This article is part of the Research Topic Environmental degradation, health, and socioeconomic impacts View all 5 articles
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Reducing carbon emissions is critical for addressing the challenges of climate change and represents an important step toward achieving the United Nations Sustainable Development Goals (SDGs). How to minimize disruptions to price levels within the economic system during the process of carbon reduction is an urgent issue that requires systematic investigation. In this paper, the nonlinear impact of carbon emissions on PPI (Producer Price Index) and CPI (Consumer Price Index) is deeply explored by using the Quantile-on-Quantile approach. In addition, the dynamic characteristics of this impact in the short-, middle- and long-term are systematically investigated through wavelet decomposition. It is found that, in general, there is significant heterogeneity in the impact of carbon emissions on PPI with the movement of the quantiles of the two factors. From a dynamic perspective, the impact of carbon emissions on PPI is not obvious in the short-term, shows a negative effect in the middle-term, and exhibits volatile effects in the-long term across different quantiles of PPI. In contrast, the effect of carbon emissions on CPI is relatively insignificant. However, in the middle-term and long-term, carbon emissions have negative effects on CPI within certain quantile intervals. Further analysis reveals that PPI exerts a positive impact on CPI, with this positive effect becoming more pronounced over time. These findings offer valuable insights for mitigating the disruptions caused by carbon reduction measures on production and consumer prices.
Keywords: carbon emissions, CPI, PPI, Wavelet decomposition, Quantile-on-quantile approach
Received: 09 Jan 2025; Accepted: 20 Mar 2025.
Copyright: © 2025 Chao and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Liping Chen, Minzu University of China, Beijing, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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