Do Global CO2 Emissions from Fossil-Fuel Consumption Exhibit Long Memory? A Fractional Integration Analysis
Loading...
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
In this article we use an autoregressive fractionally integrated moving average approach to
measure the degree of fractional integration of aggregate world CO2 emissions and its five
components – coal, oil, gas, cement, and gas flaring. We find that all variables are stationary
and mean reverting, but exhibit long-term memory. Our results suggest that both coal and oil
combustion emissions have the weakest degree of long-range dependence, while emissions from
gas and gas flaring have the strongest. With evidence of long memory, we conclude that
transitory policy shocks are likely to have long-lasting effects, but not permanent effects.
Accordingly, permanent effects on CO2 emissions require a more permanent policy stance. In
this context, if one were to rely only on testing for stationarity and non-stationarity, one would
likely conclude in favour of non-stationarity, and therefore that even transitory policy shocks
Description
Keywords
Citation
Belbute, J. and A. Pereira, (2016); “Do Global CO2 Emissions from Fuel Consumption Exhibit Long Memory? A Fractional Integration Analysis,” Applied Economics, (Forthcoming)