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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Conditional density forecast of China’s energy demand via QRNN model
TL;DR: In the empirical study on China’s energy demand, QRNN outperforms several classical methods in terms of forecast accuracy both in-sample and out-of-sample, and is able to describe the whole conditional distribution of energy demand via quantile regression.
Journal ArticleDOI
The moderating role of informal economy on financial development induced ekc hypothesis in turkey
TL;DR: The authors conducted an empirical investigation about the moderating role of the informal economy on Turkey's environmental performance by employing advanced econometric techniques that account numerous structural breaks in series and created three interaction variables by captivating the impact of informal economic activities on CO2 emissions through income, energy use, and financial sector development.
Prediction of Carbon Dioxide Emissions Using Two Linear Regression-based Models: A Comparative Analysis
Chee San Choi,Lazim Abdullah +1 more
TL;DR: In this article, a comparative study of conventional linear regression model and linear regression with fuzzy numbers model for predicting CO2 emissions in Malaysia is presented, which indicates that MLR performed better than PFLR.
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Grey Forecasting Model for CO2 Emissions
Guo Lin Bao,Hong Qi Hui +1 more
TL;DR: In this article, the grey forecasting model was applied to estimate future CO2 emissions and carbon intensity in Shijiazhuang from 2010 until 2020, and the average residual error of the GM(1, 1) is below 15%.
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Carbon emissions, inequalities and economic freedom: an empirical investigation in selected South Asian economies
Megha Arunkumar Jain,Simrit Kaur +1 more
TL;DR: In this paper , the impact of economic freedom measured by size of the government and inequality on environmental pollutants in addition to macroeconomic variables like per capita GDP, governance indicators, etc. along with existence of non-linear (Kuznets) postulation between economic growth and per capita emissions.
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.