scispace - formally typeset
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
Reads0
Chats0
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.
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

Citations
More filters
Journal ArticleDOI

Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia

TL;DR: In this article, the authors examined the linkages among economic growth, energy consumption, financial development, trade openness and CO2 emissions over the period of 1975Q1-2011Q4 in the case of Indonesia.
Journal ArticleDOI

Energy models for demand forecasting—A review

TL;DR: In this paper an attempt is made to review the various energy demand forecasting models to accurately predict the future energy needs.
Journal ArticleDOI

Economic growth and CO2 emissions in Malaysia: A cointegration analysis of the Environmental Kuznets Curve

TL;DR: In this article, the authors tried to establish a long-run as well as causal relationship between economic growth and carbon dioxide (CO2) emissions for Malaysia using data for the years from 1980 to 2009, the Environmental Kuznets Curve hypothesis was tested utilizing the Auto Regressive Distributed Lag (ARDL) methodology.
Journal ArticleDOI

Investigating the environmental Kuznets curve hypothesis in Vietnam

TL;DR: In this article, the authors investigated the existence of the environmental Kuznets curve (EKC) hypothesis in Vietnam during the period 1981-2011 and established a pollution model by applying the Autoregressive Distributed Lag (ARDL) methodology.
Journal ArticleDOI

Investigating the environmental Kuznets curve (EKC) hypothesis by utilizing the ecological footprint as an indicator of environmental degradation

TL;DR: In this article, the authors investigated the environmental Kuznets curve (EKC) hypothesis using a country's ecological footprint as an indicator of environmental degradation, and the results showed an inverted U-shaped relationship between the ecological footprint and GDP growth, which represents the EKC hypothesis in upper middle and high income countries but not in low- and lower middle-income countries.
References
More filters
Journal ArticleDOI

Environmental productivity and Kuznets curve in India

TL;DR: In this article, the authors used state-level industry data of sulfur dioxide, nitrogen dioxide, and suspended particular matter over the period 1991-2003 in India and found that overall environmental productivities decrease over time in India.
Journal ArticleDOI

Carbon Dioxide Emission and Income: A Temporal Analysis of Cross- Country Distributional Patterns

TL;DR: In this article, the authors explored the relationship between the patterns of cross-country distribution of income and CO2 emission and temporal shifts in such a relationship and examined how the mean level of per capita CO2 emissions and its distributional inequality are related to the corresponding mean income level and the distributional inequalities of income.
Journal ArticleDOI

A theoretical basis for the environmental Kuznets curve

TL;DR: In this article, the authors explain the Environmental Kuznets Curve (EKC) or inverted U-shaped relationship between income and environmental degradation in the framework of endogenous growth model, where one part of capital is used for commodity production, which generates pollution that degrades existing environment, and the remaining part is used to abate pollution (i.e., upgrading environment).
Journal ArticleDOI

A trigonometric grey prediction approach to forecasting electricity demand

TL;DR: A trigonometric grey prediction approach is presented by combining the traditional grey model GM(1,1) with the trig onometric residual modification technique for forecasting electricity demand to improve the forecasting accuracy and allow a reasonable grey prediction interval to be obtained.
Related Papers (5)