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Modeling and forecasting the CO
2
emissions, energy consumption, and economic growth in Brazil
Hsiao-Tien Pao
*
, Chung Ming Tsai
*
此作品的通信作者
管理科學系
研究成果
:
Article
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523
引文 斯高帕斯（Scopus）
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2
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Keyphrases
CO2 Emissions
100%
Energy Consumption
100%
Economic Growth
100%
Consumption Growth
100%
Brazil
100%
Emission Energy
100%
Energy Cost
100%
Grey Prediction Model
33%
Autoregressive Integrated Moving Average (ARIMA)
33%
Energy Efficiency
16%
Environmental Damage
16%
Negative Effects
16%
Wastage
16%
Energy Output
16%
Forestry
16%
Energy Emission
16%
Energy Conservation Policy
16%
Emission Reduction
16%
Greenhouse Gas Emissions
16%
Long-run Equilibrium
16%
Dual Strategy
16%
Forecast Skill
16%
Environmental Energy
16%
Dynamic Relationship
16%
Investments in Energy
16%
Land Use
16%
Energy Infrastructure
16%
Pollutant Emissions
16%
Important Determinant
16%
Inverted U-shaped Relationship
16%
Forecasting Performance
16%
Strong Causality
16%
Economics, Econometrics and Finance
Energy Conservation Policy
100%
Greenhouse Gas Emissions
100%
ARMA Model
100%
Energy Infrastructure
100%
Investment in Energy
100%
Land Use
100%
Conservation of Energy
100%
Earth and Planetary Sciences
Environmental Damage
16%