ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, vol.22, no.1, pp.117-136, 2023 (SCI-Expanded)
This paper tests the causal link between climate policy uncertainty (CPU)
and carbon dioxide (CO2) emissions in the United States from April 1987 to February 2022. In this paper, we
use a novel CPU index recently developed and employ a novel econometric
methodology, dynamic symmetric and asymmetric Fourier causality tests. The
findings of the causality tests show a symmetric causality relationship from CO2
to CPU, and a unidirectional causality runs from positive shocks of CO2
to positive shocks of CPU. We also run the causality test in a dynamic
framework to test the instabilities in the causality relationship. The dynamic
symmetric causality test results show a significant unidirectional causality
from CO2 (CPU) to CPU (CO2)
for specific periods. Since different shocks may affect the causality
relationship, we test the causality relationship by considering positive and
negative shocks. The asymmetric causality test results show a significant
unidirectional asymmetric causality from positive shocks of CO2
(CPU) to positive shocks of CPU (CO2) for certain periods. Finally,
the asymmetric causality test results also show a unidirectional asymmetric
causality from negative shocks of CO2 (CPU) to negative shocks of
CPU (CO2) for certain periods. Based on our results indicating a
significant causal link between CPU and CO2, governments and
policymakers should avoid policies and decisions that may lead to such
uncertainties.