Energy Consumption and Income in Chinese Provinces: Heterogeneous Panel Causality Analysis

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Date

2012

Authors

Akkemik, K. Ali
Göksal, Koray
Li, Jia

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Volume Title

Publisher

Elsevier Science

Open Access Color

Green Open Access

Yes

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No
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Abstract

Recently energy production in China fell behind energy consumption. This poses important challenges for the rapidly growing Chinese economy. As a consequence the causal relationship between energy consumption and GDP is an important empirical issue. This paper examines Granger causality between energy consumption and GDP in China using province-level data. The current paper extends the Granger causality analysis employed in previous studies by taking into account panel heterogeneity. Specifically four different causal relationships are examined: homogeneous non-causality (HNC) homogeneous causality (HC) heterogeneous non-causality (HENC) and heterogeneous causality (HEC). HC and HNC hypotheses are rejected for causality in either direction from GDP to energy or from energy to GDP which implies that the panel made up of Chinese provinces is not homogeneous. Then heterogeneous causality tests (HEC ad HENC) are conducted for each province. For the causality running from GDP to energy 19 provinces exhibit HEC and 11 provinces exhibit HENC. For the causality running from energy to GDP 14 provinces exhibit HEC and 16 provinces exhibit HENC. The results suggest that the Chinese government should incorporate a regional perspective while formulating and implementing energy policies. (C) 2012 Elsevier Ltd. All rights reserved.

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Keywords

Energy, China, Causality, Heterogeneous panel, Causality, China, Energy, Heterogeneous panel

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Fields of Science

0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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WoS Q

Q1

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OpenCitations Citation Count
31

Source

Applied Energy

Volume

99

Issue

Start Page

445

End Page

454
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CrossRef : 32

Scopus : 36

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36

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Web of Science™ Citations

28

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4

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150

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