| Autor: |
Ameyaw, Bismark, Li Yao, Oppong, Amos, Acheampong, Kingsley Nketia |
| Předmět: |
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| Zdroj: |
IAEE Conference Proceedings; 2019, p1-14, 14p |
| Abstrakt: |
In this study, we investigate the direction of causal relationship between carbon dioxide (CO2) emissions from fossil fuel combustion only (FFCO2) and economic growth for the US and Canada by using annual time series data for the period 1990-2016. We found a unidirectional causality running from gross domestic product per capita to FFCO2 in the case of the US and Canada, and a unidirectional causality running from total labor force to FFCO2 for the US and Canada. Second, with the quest to achieve cleaner energy targets, we formulate a mathematically induced algorithm based on an Artificial Neural Network (ANN) approach to forecast FFCO2 for the US and Canada. Finally, we propose emission-mitigation pathways for these countries to follow to achieve zero FFCO2 by the year 2030. Results from the optimal mitigation path demonstrate that intensifying current and introducing new policies are enough to mitigate energy-related FFCO2 for all the countries employed herein. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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