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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.
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.

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Journal ArticleDOI

İklim Politikası Belirsizliği CO2 emisyonunu etkiler mi? ABD'den Ampirik Kanıtlar

TL;DR: In this article , a sera gazı emisyonundaki önemli artış göstermiş ve bundan dolayı çevre kirliliği sorunu küresel bir sorun haline gelmiştir.

Global CO2 emissions, global energy consumption and global economic growth

Abstract: This dissertation study was written as a part of the MSc in Energy Systems at the International Hellenic University and investigates the existence of causal relationship between economic growth, carbon dioxide emissions (CO2 hereafter) and energy consumption for the sample period 1971-2011 within a global framework. In a first step, several unit root tests are implemented to detect the order of integration for each one of the time series, with or without breaks. All the variables are integrated of order one. In a second step, a number of tests are applied in order to discover the existence of cointegration in the series. The results reveal that no cointegration is evident. For the examination of causality, the well-known parametric causality tests of Granger, Toda-Yamamoto and Hsiao are used. According to the results, for the former there is causality running from energy consumption to CO2 emissions with no feedback, while for the latter there is unidirectional causality once more running from energy consumption to CO2 emissions but also from GDP to energy consumption as well as to CO2 emissions. With regard to the last test, unidirectional causality is evident running from energy consumption to CO2 emissions and from CO2 emissions to GDP, whereas bi-directional causality exists between energy consumption and GDP. Eventually, two non-parametric causality tests are employed in order to identify possible non-linear causal relationships. At this point, I would like to express my sincere thanks to Professor E. Sartzetakis for supervising this study. Moreover, I would like to thank Dr. T. Dergiades who helped me with the E-Views software and supported me during the elaboration of this present dissertation.

Multiscale Spatio-Temporal Dynamics of Economic Development in an Interprovincial Boundary Region: Junction Area of Tibetan Plateau, Hengduan

TL;DR: In this paper, the authors explored the multi-scale spatio-temporal dynamics of economic development from 1995 to 2010 in the interprovincial boundary region of Sichuan-Yunnan-Guizhou, a mountain area and also the junction area of Tibetan Plateau, Hengduan Mountain, Yungui Plateau and SICHuan Basin in southwestern China.
Journal ArticleDOI

The role of tourism, energy consumption, urbanization, and economic growth on ecological footprint: The Turkish case

TL;DR: In this article , the authors examined the impacts of tourism, energy consumption, urbanization, and economic growth on the environmental quality in Turkey for the from 1963 to 2016, and tested the validity of the tourism-induced environmental Kuznets curve (EKC) hypothesis by using a more comprehensive ecological quality indicator named ecological footprint.
Book ChapterDOI

Modeling of Greenhouse Gas Emission and Its Impact on Economic Growth of SAARC Countries

TL;DR: In this article, the authors investigated the existence of long-run equilibrium relationship between major GHG emissions and economic growth in eight SAARC countries, including Bangladesh, India, Pakistan, Sri Lanka, Nepal, Bhutan, Maldives, and Afghanistan.
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

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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