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Oil price shocks, economic policy uncertainty and industrial economic growth in China
This paper combines a Granger causality test and a VAR model to investigate the relationships among oil price shocks, global economic policy uncertainty (GEPU), and China’s industrial economic growth. Based on monthly data from 2000 to 2017, we reveal that GEPU and world oil prices jointly Granger c...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510409/ https://www.ncbi.nlm.nih.gov/pubmed/31075134 http://dx.doi.org/10.1371/journal.pone.0215397 |
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author | Chen, Jingyu Jin, Faqi Ouyang, Guangda Ouyang, Jian Wen, Fenghua |
author_facet | Chen, Jingyu Jin, Faqi Ouyang, Guangda Ouyang, Jian Wen, Fenghua |
author_sort | Chen, Jingyu |
collection | PubMed |
description | This paper combines a Granger causality test and a VAR model to investigate the relationships among oil price shocks, global economic policy uncertainty (GEPU), and China’s industrial economic growth. Based on monthly data from 2000 to 2017, we reveal that GEPU and world oil prices jointly Granger cause China's industrial economic growth; world oil prices have a positive effect on China's industrial economic growth, while GEPU has a negative effect. Further analyses investigate the asymmetry effect of oil prices and find that the negative component shows a more significant impact on China's industrial economic growth. The results are robust to different oil price and EPU proxies. |
format | Online Article Text |
id | pubmed-6510409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-65104092019-05-23 Oil price shocks, economic policy uncertainty and industrial economic growth in China Chen, Jingyu Jin, Faqi Ouyang, Guangda Ouyang, Jian Wen, Fenghua PLoS One Research Article This paper combines a Granger causality test and a VAR model to investigate the relationships among oil price shocks, global economic policy uncertainty (GEPU), and China’s industrial economic growth. Based on monthly data from 2000 to 2017, we reveal that GEPU and world oil prices jointly Granger cause China's industrial economic growth; world oil prices have a positive effect on China's industrial economic growth, while GEPU has a negative effect. Further analyses investigate the asymmetry effect of oil prices and find that the negative component shows a more significant impact on China's industrial economic growth. The results are robust to different oil price and EPU proxies. Public Library of Science 2019-05-10 /pmc/articles/PMC6510409/ /pubmed/31075134 http://dx.doi.org/10.1371/journal.pone.0215397 Text en © 2019 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Chen, Jingyu Jin, Faqi Ouyang, Guangda Ouyang, Jian Wen, Fenghua Oil price shocks, economic policy uncertainty and industrial economic growth in China |
title | Oil price shocks, economic policy uncertainty and industrial economic growth in China |
title_full | Oil price shocks, economic policy uncertainty and industrial economic growth in China |
title_fullStr | Oil price shocks, economic policy uncertainty and industrial economic growth in China |
title_full_unstemmed | Oil price shocks, economic policy uncertainty and industrial economic growth in China |
title_short | Oil price shocks, economic policy uncertainty and industrial economic growth in China |
title_sort | oil price shocks, economic policy uncertainty and industrial economic growth in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510409/ https://www.ncbi.nlm.nih.gov/pubmed/31075134 http://dx.doi.org/10.1371/journal.pone.0215397 |
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