Estimating the long-run crude oil demand function of China: Some new evidence and policy options

Title
Estimating the long-run crude oil demand function of China: Some new evidence and policy options
Publication Date
2022-11
Author(s)
Li, Sisi
Khan, Sufyan Ullah
Yao, Yao
Chen, George S
( author )
OrcID: https://orcid.org/0000-0002-8519-9340
Email: gchen2@une.edu.au
UNE Id une-id:gchen2
Zhang, Lin
Salim, Ruhul
Huo, Jiaying
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Elsevier Ltd
Place of publication
United Kingdom
DOI
10.1016/j.enpol.2022.113244
UNE publication id
une:1959.11/54703
Abstract

China's remarkable economic progress over the past three decades has been complemented by massive energy consumption. Although coal has long been the primary energy source, the rise in crude oil use has been viewed as more contentious, because a large portion of crude oil is imported, whereas the economy is mostly self-sufficient in coal. We examine the role of R&D effort and self-sufficiency on China's oil import function from 1980 to 2020. Using the autoregressive distributed lag model, we find that the R&D effort raises oil imports in the long run. However, we find oil imports to be independent from self-sufficiency in the long run. We also find that China's accession to the World Trade Organization has significantly changed the cointegrating relationship in the oil import function. Our results suggest that the government should continue to incentivize energy-saving measures and fund research projects on renewable energy sources. Furthermore, deregulation in the oil market is quintessential to energy security and stable growth in the long run.

Link
Citation
Energy Policy, v.170, p. 1-11
ISSN
1873-6777
0301-4215
Start page
1
End page
11

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