2022
DOI: 10.1007/s10644-021-09372-2
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COVID-19, recovery policies and the resilience of EU ETS

Abstract: COVID-19 pandemic and its recovery bring opportunities and threats for global climate governance and further challenge climate related assets. In this study, we analyze the efficiency of government response policies and fiscal policies on green recovery by observing the variation characteristics of carbon allowance prices in the EU emission trading system (EU ETS). Using the OLS and threshold methods in the original time scales, we find that: (1) The EUA prices had an inverted U-shaped relationship with the nu… Show more

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Cited by 8 publications
(4 citation statements)
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“…To enhance the security and efficiency of ETS, an innovative approach called Blockchain-enabled Distributed ETS (BD-ETS) has been proposed. This model transforms the conventional centralized trading mode into a distributed system based on smart contracts, potentially enhancing the overall effectiveness of emissions trading (Dong et al, 2022). Emissions trading systems exhibit distinctive characteristics, including allowance allocation, the possibility of market linkage, and price volatility, necessitating a comprehensive understanding of the behaviors exhibited by producers and consumers within these systems (Zheng et al, 2021).…”
Section: The Carbon Sink and Emission Trading Systemmentioning
confidence: 99%
“…To enhance the security and efficiency of ETS, an innovative approach called Blockchain-enabled Distributed ETS (BD-ETS) has been proposed. This model transforms the conventional centralized trading mode into a distributed system based on smart contracts, potentially enhancing the overall effectiveness of emissions trading (Dong et al, 2022). Emissions trading systems exhibit distinctive characteristics, including allowance allocation, the possibility of market linkage, and price volatility, necessitating a comprehensive understanding of the behaviors exhibited by producers and consumers within these systems (Zheng et al, 2021).…”
Section: The Carbon Sink and Emission Trading Systemmentioning
confidence: 99%
“…However, a rapid recovery in the postpandemic period, particularly driven by excess liquidity, carbon-intensive sectors and technologies, precipitated a rebound and even a surge in CO2 emissions. This also paved the way for a new chapter of financial instability with high inflation and consequently counter-cyclical monetary policy (Ouliaris and Rochon, 2021;Dong et al, 2022). These recurring cycles of global financial instability, marked by extreme variations in liquidity in the financial sector, the implementation of countercyclical monetary policies, dramatic fluctuations in inflation, and peaks in energy demand and CO2 emissions have highlighted the complex issue of financing the green transition with regard to global climate risk (He et al, 2021;Gir on and Ivanova, 2023).…”
Section: Introductionmentioning
confidence: 99%
“…However, a rapid recovery in the post-pandemic period, particularly driven by excess liquidity, carbon-intensive sectors and technologies, precipitated a rebound and even a surge in CO2 emissions. This also paved the way for a new chapter of financial instability with high inflation and consequently counter-cyclical monetary policy (Ouliaris and Rochon, 2021; Dong et al. , 2022).…”
Section: Introductionmentioning
confidence: 99%
“…The international COVID-19 outbreak has not only threatened human lives but has also affected the socio-economy and environment on which humanity depends ( Klemeš et al, 2020 , Le Quéré et al, 2020 ). At the beginning of the COVID-19 pandemic, to control the spread of the virus, many countries adopted mandatory restrictions, such as social distancing, closures, quarantines and restrictions on production activities, which severely damaged global socio-economic operations ( Dong et al, 2022 , Nicola et al, 2020 , Xu and Wei, 2021 ). These restrictions led to significant changes in energy consumption and CO 2 emissions ( Shan et al, 2021 , Zhang et al, 2022a ).…”
Section: Introductionmentioning
confidence: 99%