Journal ArticleDOI
Electricity consumption and economic growth in China
Alice Shiu,Pun Lee Lam +1 more
TLDR
In this article, the causal relationship between electricity consumption and real GDP for China during 1971-2000 was examined and it was shown that real GDP and electricity consumption are cointegrated and there is unidirectional Granger causality running from electricity consumption to real GDP but not vice versa.About:
This article is published in Energy Policy.The article was published on 2004-01-01. It has received 818 citations till now. The article focuses on the topics: Real gross domestic product & Rural electrification.read more
Citations
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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.
Journal ArticleDOI
Energy consumption, carbon emissions, and economic growth in China
Xing-Ping Zhang,Xiao-Mei Cheng +1 more
TL;DR: This article investigated the existence and direction of Granger causality between economic growth, energy consumption, and carbon emissions in China, applying a multivariate model of economic growth and energy use, carbon emissions, capital and urban population.
Journal ArticleDOI
CO2 emissions, energy consumption and economic growth in BRIC countries
Hsiao-Tien Pao,Chung Ming Tsai +1 more
TL;DR: In this article, the authors examined dynamic causal relationships between pollutant emissions, energy consumption and output for a panel of BRIC countries over the period 1971-2005, except for Russia (1990-2005).
Journal ArticleDOI
Energy consumption and economic growth in Asian economies: A more comprehensive analysis using panel data
Chien-Chiang Lee,Chun-Ping Chang +1 more
TL;DR: This paper applied the most recently developed panel unit root, heterogeneous panel cointegration and panel-based error correction models to re-investigate co-movement and the causal relationship between energy consumption and real GDP within a multivariate framework that includes capital stock and labor input for 16 Asian countries during the 1971-2002 period.
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Energy consumption and economic growth nexus in Tanzania: An ARDL bounds testing approach
TL;DR: In this paper, the authors examined the intertemporal causal relationship between energy consumption and economic growth in Tanzania during the period of 1971-2006 and employed the newly developed autoregressive distributed lag (ARDL)-bounds testing approach.
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
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
David A. Dickey,Wayne A. Fuller +1 more
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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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.