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Energy consumption and GDP: causality relationship in G-7 countries and emerging markets

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In this article, the authors studied the time series properties of energy consumption and GDP and reexamine the causality relationship between the two series in the top 10 emerging markets and G-7 countries.
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This article is published in Energy Economics.The article was published on 2003-01-01 and is currently open access. It has received 1087 citations till now. The article focuses on the topics: Energy consumption & Energy economics.

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A literature survey on energy–growth nexus

TL;DR: A survey of the recent progress in the literature of energy consumption and economic growth causality nexus can be found in this paper, which highlights that most empirical studies focus on either testing the role of energy (electricity) in stimulating economic growth or examining the direction of causality between these two variables.
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Energy consumption, income, and carbon emissions in the United States

TL;DR: In this paper, the effect of energy consumption and output on carbon emissions in the United States was investigated, and the Granger causality relationship between income, energy consumption, and carbon emissions, including labor and gross fixed capital formation, was investigated.
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Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member

TL;DR: In this paper, the authors investigated the long run Granger causality relationship between economic growth, carbon dioxide emissions and energy consumption in Turkey, controlling for gross fixed capital formation and labor.
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Energy consumption and GDP in developing countries: A cointegrated panel analysis

TL;DR: In this article, the authors investigated the co-movement and the causality relationship between energy consumption and GDP in 18 developing countries, using data for the period 1975 to 2001, and found that energy conservation may harm economic growth in developing countries regardless of being transitory or permanent.
Journal ArticleDOI

CO2 emissions, energy consumption and economic growth in Turkey

TL;DR: In this article, the authors examined the long run and causal relationship issues between economic growth, carbon emissions, energy consumption and employment ratio in Turkey by using autoregressive distributed lag bounds testing approach of cointegration.
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.
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Distribution of the Estimators for Autoregressive Time Series with a Unit Root

TL;DR: In this article, the limit distributions of the estimator of p and of the regression t test are derived under the assumption that p = ± 1, where p is a fixed constant and t is a sequence of independent normal random variables.
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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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Statistical analysis of cointegration vectors

TL;DR: In this paper, the authors consider a nonstationary vector autoregressive process which is integrated of order 1, and generated by i.i.d. Gaussian errors, and derive the maximum likelihood estimator of the space of cointegration vectors and the likelihood ratio test of the hypothesis that it has a given number of dimensions.
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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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Frequently Asked Questions (6)
Q1. What are the contributions in "Energy consumption and gdp: causality relationship in g-7 countries and emerging markets" ?

The causality relationship between energy consumption and income is a well-studied topic in energy economics. This paper studies the time series properties of energy consumption and GDP and reexamines the causality relationship between the two series in the top 10 emerging markets excluding China due to lack of data and G-7 countries. 

Note that the authors dropped China from the analysis because its energy consumption data was combined with Taiwan for a long period of time and the remaining data was not long enough. 

In addition to the extra way for causality to emerge, the VEC offers another advantage that the lost information due to differencing is brought back into the system through the error correction term. 

For all countries, the time Ž .period used is 1950 1992, except for: Argentina 1950 1990 ; Indonesia Ž . Ž . Ž .1960 1992 ; Korea 1953 1991 ; and Poland 1965 1994 . 

Kraft and Kraft 1978 , in their pioneering study, found unidirectional causality running from GNP to energy consumption for the United Ž .States. 

The proportions explained by LEC increase to 90 91% in France and Japan, thus, indicating causality running from energy consumption to income for Turkey, France, Germany and Japan.