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Dynamic impacts of energy consumption on economic growth in China: Evidence from a non-parametric panel data model

Ren, Xiaohang and Tong, Ziwei and Sun, Xianming and Yan, Cheng (2022) 'Dynamic impacts of energy consumption on economic growth in China: Evidence from a non-parametric panel data model.' Energy Economics, 107. p. 105855. ISSN 0140-9883 (In Press)

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Abstract

To empirically gauge the efficacy of energy policies, we propose a non-parametric method to investigate the relationship between economic growth and energy consumption from both time and space perspectives. Specifically, we rely on the local linear dummy variable estimation (LLDVE) method to explore the time-varying province-specific trends, the common trend, and the coefficients based on panel data from 26 provinces in China from 1995 to 2017. We find that the promotion effect of energy consumption on economic growth changes over time, as evidenced by the inverted U shape of the relationship. Moreover, the non-parametric model captures such an effect better than the parametric model. With the dual goals of sustainable economic growth and carbon emissions reduction in mind, we classify the sample according to the degree of carbon intensity, which indicates that energy efficiency should be improved in high-carbon development areas, while more attention should be paid to investment and innovations in low-carbon development areas.

Item Type: Article
Uncontrolled Keywords: Energy consumption; Economic growth; Time-varying; Non-parametric
Divisions: Faculty of Social Sciences
Faculty of Social Sciences > Essex Business School
Faculty of Social Sciences > Essex Business School > Essex Finance Centre
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 24 Jan 2022 13:42
Last Modified: 24 Mar 2022 13:03
URI: http://repository.essex.ac.uk/id/eprint/32110

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