Do Global CO2 Emissions from Fossil-Fuel Consumption Exhibit Long Memory? A Fractional Integration Analysis


Autoria(s): Belbute, José; Pereira, Alfredo
Data(s)

27/01/2017

27/01/2017

27/12/2016

Resumo

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

Identificador

Belbute, J. and A. Pereira, (2016); “Do Global CO2 Emissions from Fuel Consumption Exhibit Long Memory? A Fractional Integration Analysis,” Applied Economics, (Forthcoming)

http://dx.doi.org/10.1080/00036846.2016.1273508

http://hdl.handle.net/10174/20106

Departamento de Economia - Artigos publicado em revistas com referee

jbelbute@uevora.pt

ampere@wm.edu

749

10.1080/00036846.2016.1273508

Idioma(s)

eng

Direitos

restrictedAccess

Palavras-Chave #CO2 emissions #long memory #ARFIMA model
Tipo

article