Journal ArticleDOI
Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil
Hsiao-Tien Pao,Chung Ming Tsai +1 more
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In this article, the authors examined the dynamic relationship between pollutant emissions, energy consumption, and the output for Brazil during 1980-2007 and applied the Grey prediction model (GM) to predict three variables during 2008-2013.About:
This article is published in Energy.The article was published on 2011-05-01. It has received 484 citations till now. The article focuses on the topics: Energy consumption & Energy conservation.read more
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A novel method for carbon emission forecasting based on Gompertz's law and fractional grey model: Evidence from American industrial sector
TL;DR: Considering the slowing growth in carbon emissions with the Gompertz's law, the authors established a GOMpertz differential equation, which was transformed into a fractional accumulation grey GOMERTZ model and the chaotic whale optimization algorithm was used to optimize the order of accumulation generation and the grey background value in the proposed model.
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Does gross domestic income, trade integration, FDI inflows, GDP, and capital reduces CO2 emissions? An empirical evidence from Nigeria
TL;DR: In this article, the authors investigate whether the gross domestic income, trade integration, foreign direct investment (FDI) inflows, gross domestic product (GDP), and capital reduces carbon emissions in Nigeria.
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The dynamic relationship between structural change and CO2 emissions in Malaysia: a cointegrating approach.
TL;DR: The feedback relationship between energy consumption and CO2 emissions suggests that there is an ominous need to refurbish the energy-related policy reforms to ensure the installations of some energy-efficient modern technologies.
Posted Content
Is There Really Granger Causality Between Energy Use and Output
TL;DR: This article carried out a meta-analysis of the very large literature on Granger causality tests between energy use and economic output to determine if there is a genuine effect in this literature or whether the large number of apparently significant results is due to publication and misspecification bias.
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Carbon dioxide emissions and economic growth in the U.S.
TL;DR: In this paper, the authors analyze the relationship of the carbon Kuznets curve and find that economic growth drives emissions intensities, not absolute emissions as is often implied in past studies, and estimate a dynamic ordinary least squares model of monthly carbon dioxide emissions, personal income, and energy production in the U.S from 1981 to 2003.
References
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Journal ArticleDOI
Co-integration and Error Correction: Representation, Estimation and Testing
TL;DR: The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples.
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Testing for a Unit Root in Time Series Regression
TL;DR: In this article, the authors proposed new tests for detecting the presence of a unit root in quite general time series models, which accommodate models with a fitted drift and a time trend so that they may be used to discriminate between unit root nonstationarity and stationarity about a deterministic trend.
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Likelihood ratio statistics for autoregressive time series with a unit root
David A. Dickey,Wayne A. Fuller +1 more
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Maximum likelihood estimation and inference on cointegration — with applications to the demand for money
Søren Johansen,Katarina Juselius +1 more
TL;DR: In this paper, the estimation and testing of long-run relations in economic modeling are addressed, starting with a vector autoregressive (VAR) model, the hypothesis of cointegration is formulated as a hypothesis of reduced rank of the long run impact matrix.