Do Global CO2 Emissions from Fossil-Fuel Consumption Exhibit Long Memory? A Fractional Integration Analysis
Data(s) |
27/01/2017
27/01/2017
27/12/2016
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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 |