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Coal - the black gold of economic growth in China: empirical evidence and the role of cleaner coal technologies in recent time

Rafiq, Shuddhasattwa, Bhattacharya, Mita D. and Bhattacharya, Sankar P. 2015, Coal - the black gold of economic growth in China: empirical evidence and the role of cleaner coal technologies in recent time, in CESA 2014 : Proceedings of the 26th Annual Chinese Economics Society Australia Conference, [The Conference], [Melbourne, Vic.], pp. 1-1.

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Title Coal - the black gold of economic growth in China: empirical evidence and the role of cleaner coal technologies in recent time
Author(s) Rafiq, ShuddhasattwaORCID iD for Rafiq, Shuddhasattwa orcid.org/0000-0002-2109-7441
Bhattacharya, Mita D.
Bhattacharya, Sankar P.
Conference name Chinese Economics Society Australia. Conference (26th : 2014 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 7-8 Jul. 2014
Title of proceedings CESA 2014 : Proceedings of the 26th Annual Chinese Economics Society Australia Conference
Publication date 2015
Start page 1
End page 1
Total pages 1
Publisher [The Conference]
Place of publication [Melbourne, Vic.]
Keyword(s) China
Coal consumption
CO2 intensity
Cointegration
Summary Coal comprises 70 per cent of China’s primary energy source and 80 per cent of China's electricity generation. This study investigates the long-run relationship between coal consumption-economic growth nexus considering both supply and demand side models in a multivariate framework over the period of 1978 and 2010. Our innovation in this paper is to include a coal-to-electricity efficiency indicator into the economic growth model ; and trade exposure in coal demand. Using Autoregressive Distributed Lag bounds testing approach, we find improvement in coal-to-efficiency indicator causes almost 35 per cent increase in real GDP in the long-run. The Toda-Yamamoto approach of causality test indicates unidirectional causality from coal consumption to economic growth; feedback effect both for coal-to-electricity efficiency indicator to economic growth and openness to coal consumption. For robustness check, using the generalised forecast error variance decomposition method we forecast the validity of causal relationships beyond the sample horizon. The paper suggests the role of advanced coal technologies will play a significant role along with other environmental and energy policies in maintaining sustainable economic growth in China .
Language eng
Field of Research 140205 Environment and Resource Economics
Socio Economic Objective 910103 Economic Growth
HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30076926

Document type: Conference Paper
Collection: Department of Economics
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