The dynamic relationships between carbon prices and policy uncertainties

Xiaoqin  Liu; Michal  Wojewodzki; Yifei Cai; Satish Sharma

doi:10.1016/j.techfore.2023.122325

The dynamic relationships between carbon prices and policy uncertainties

Xiaoqin Liu
, Michal Wojewodzki
, Yifei Cai
, Satish Sharma

Research output: Contribution to journal › Article › peer-review

54 Citations (Scopus)

40 Downloads (Pure)

Abstract

Using the generalized impulse response analysis, this study examines the nexus between the prices of crude oil, natural gas, and carbon emissions allowances in the EU carbon emissions trading system (CETS) and climate policy uncertainty (CPU) and global economic policy uncertainty (EPU). Additionally, we employ bootstrap rolling-window Granger causality tests to investigate the relationship between carbon price in China's national CETS and the US-specific EPU (USEPU). The results show that rising carbon and gas prices positively impact CPU, while a positive shift in oil price increases (decreases) the prices of carbon and gas (EPU). Furthermore, an increase in the CPU (EPU) positively impacts the gas price (increases the CPU but decreases the prices of carbon and oil). Finally, we find evidence of time-varied bi-directional causality between China's CETS and the USEPU. The above findings offer important implications for portfolio managers and policymakers.

Original language	English
Article number	122325
Journal	Technological Forecasting and Social Change
Volume	188
Issue number	Special issue
DOIs	https://doi.org/10.1016/j.techfore.2023.122325
Publication status	Published - 1 Mar 2023

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abstract = "Using the generalized impulse response analysis, this study examines the nexus between the prices of crude oil, natural gas, and carbon emissions allowances in the EU carbon emissions trading system (CETS) and climate policy uncertainty (CPU) and global economic policy uncertainty (EPU). Additionally, we employ bootstrap rolling-window Granger causality tests to investigate the relationship between carbon price in China's national CETS and the US-specific EPU (USEPU). The results show that rising carbon and gas prices positively impact CPU, while a positive shift in oil price increases (decreases) the prices of carbon and gas (EPU). Furthermore, an increase in the CPU (EPU) positively impacts the gas price (increases the CPU but decreases the prices of carbon and oil). Finally, we find evidence of time-varied bi-directional causality between China's CETS and the USEPU. The above findings offer important implications for portfolio managers and policymakers. ",

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T1 - The dynamic relationships between carbon prices and policy uncertainties

AU - Liu, Xiaoqin

AU - Wojewodzki, Michal

AU - Cai, Yifei

AU - Sharma, Satish

PY - 2023/3/1

Y1 - 2023/3/1

N2 - Using the generalized impulse response analysis, this study examines the nexus between the prices of crude oil, natural gas, and carbon emissions allowances in the EU carbon emissions trading system (CETS) and climate policy uncertainty (CPU) and global economic policy uncertainty (EPU). Additionally, we employ bootstrap rolling-window Granger causality tests to investigate the relationship between carbon price in China's national CETS and the US-specific EPU (USEPU). The results show that rising carbon and gas prices positively impact CPU, while a positive shift in oil price increases (decreases) the prices of carbon and gas (EPU). Furthermore, an increase in the CPU (EPU) positively impacts the gas price (increases the CPU but decreases the prices of carbon and oil). Finally, we find evidence of time-varied bi-directional causality between China's CETS and the USEPU. The above findings offer important implications for portfolio managers and policymakers.

AB - Using the generalized impulse response analysis, this study examines the nexus between the prices of crude oil, natural gas, and carbon emissions allowances in the EU carbon emissions trading system (CETS) and climate policy uncertainty (CPU) and global economic policy uncertainty (EPU). Additionally, we employ bootstrap rolling-window Granger causality tests to investigate the relationship between carbon price in China's national CETS and the US-specific EPU (USEPU). The results show that rising carbon and gas prices positively impact CPU, while a positive shift in oil price increases (decreases) the prices of carbon and gas (EPU). Furthermore, an increase in the CPU (EPU) positively impacts the gas price (increases the CPU but decreases the prices of carbon and oil). Finally, we find evidence of time-varied bi-directional causality between China's CETS and the USEPU. The above findings offer important implications for portfolio managers and policymakers.

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DO - 10.1016/j.techfore.2023.122325

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JO - Technological Forecasting and Social Change

JF - Technological Forecasting and Social Change

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The dynamic relationships between carbon prices and policy uncertainties

Abstract

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