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Journal ArticleDOI

Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil

Hsiao-Tien Pao, +1 more
- 01 May 2011 - 
- Vol. 36, Iss: 5, pp 2450-2458
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TLDR
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.
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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.

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Relationship Among Economic Growth, Energy Consumption, CO2 Emission, and Urbanization: Evidence From MINT Countries:

TL;DR: In this paper, the synergy among economic growth, carbon dioxide (CO2) emissions, urbanization, and energy consumption in MINT (Mexico, Indonesia, Nigeria, and Turkey) countries was examined.
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Social capital and CO2 emission—output relations: A panel analysis

TL;DR: In this article, the authors examined the mitigating effect of social capital on the environmental Kuznets curve (EKC) for CO2 emissions using a panel data of 69 developed and developing countries.
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Forecasting Chinese CO 2 emissions from fuel combustion using a novel grey multivariable model

TL;DR: Wang et al. as mentioned in this paper proposed a grey multivariable model to predict future CO2 emissions from fuel combustion from 2014 to 2020, and the forecasted results can provide a solid basis for formulating environmental policies and energy consumption plans.
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Sector value addition, technology and CO2 emissions in Saudi Arabia ☆

TL;DR: In this paper, the authors assess the Environmental Kuznets Curve (EKC) hypothesis with the case study of Saudi Arabia by considering three channels: volume of production, sector value addition to GDP and technological innovation.
Journal ArticleDOI

Testing environmental Kuznets curve hypothesis in Peru: The role of renewable electricity, petroleum and dry natural gas

Abstract: This paper analyzes the relationship between GDP (gross domestic product), carbon dioxide emissions from the consumption of energy, total renewable electricity consumption, dry natural gas consumption, and total petroleum consumption (all variables are in per capita terms) for Peru during 1980–2011. The Autoregressive Distributed Lag (ARDL) methodology was used to test a cointegration relationship, and the Granger causality test, based on the vector error correction model (VECM), was used to test for causality. An innovative criterion proposed by Narayan and Narayan (2010) was employed to test the Environmental Kuznets Curve (EKC) hypothesis. The study does not support an inverted U-shaped EKC relationship. For this reason, it is urgent that Peru designs environmental policies that minimize the emission of greenhouse gases (GHG) using alternative energy sources e.g. solar, wind, hydraulics, among others. In addition, we found an unidirectional causality relationship between CO2 emissions and their determinants.
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.
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Maximum likelihood estimation and inference on cointegration — with applications to the demand for money

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.
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