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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The linkage between crude oil consumption and economic growth in Latin America: The panel framework investigations for multiple regions
TL;DR: The authors examined the cointegration and the Granger causality relationships among crude oil consumption and economic growth in Latin America during 1980-2012 and found that in the Caribbean and South America, economic growth and crude oil Consumption do not Granger cause each other, therefore policy makers can pursue crude oil conservation policies without a significant negative effect on economic growth.
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Energy-Related CO2 Emissions Forecasting Using an Improved LSSVM Model Optimized by Whale Optimization Algorithm
Haoran Zhao,Sen Guo,Huiru Zhao +2 more
TL;DR: The proposed WOA-LSSVM model has the potential to effectively improve the accuracy of CO2 emissions forecasting and as a new nature-enlightened heuristic optimization algorithm, the WOA has the prospect for wide application.
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Spatiotemporal Characteristics, Determinants and Scenario Analysis of CO2 Emissions in China Using Provincial Panel Data.
TL;DR: Empirically investigated the spatiotemporal variations, influencing factors and future emission trends of China’s CO2 emissions based on a provincial panel data set, and showed that the scenario of middle economic growth, middle population increase, low urbanization growth, and high technology improvement constitutes the best development model for China to realize the future sustainable development.
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Analysis of the Spatial Effect of Fiscal Decentralization and Environmental Decentralization on Carbon Emissions under the Pressure of Officials’ Promotion
TL;DR: Wang et al. as mentioned in this paper analyzed the spatial impact of fiscal decentralization and environmental decentralization on regional carbon emissions from the perspective of promotion pressure of officials, and concluded that the promotion pressure plays a positive role in moderating the impact of the fiscal decentralisation on carbon emissions, and at the same time weakens the suppression of carbon emissions by environmental decentralisation.
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Study on Australian energy policy, socio-economic, and environment issues
TL;DR: In this article, the authors dealt with the Australian total energy consumption related to economic growth and carbon dioxide (CO2) emission in which total consumption is sub-divided into renewable and non-renewable energy consumption.
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.