Natural resources commodity prices volatility and economic performance: Evidence from China pre and post COVID-19
Volatility in the prices of natural resources particularly in the Covid-19 period is the subject of major concern in recent times. Although many studies have empirically investigated the influence of oil prices on economic growth and Covid-19 on oil prices. However, the current study contributes to...
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| Published in | Resources policy Vol. 74; p. 102338 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Elsevier Ltd
01.12.2021
Elsevier Science Ltd |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0301-4207 1873-7641 1873-7641 |
| DOI | 10.1016/j.resourpol.2021.102338 |
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| Abstract | Volatility in the prices of natural resources particularly in the Covid-19 period is the subject of major concern in recent times. Although many studies have empirically investigated the influence of oil prices on economic growth and Covid-19 on oil prices. However, the current study contributes to the literature by investigating the causal linkage of natural resources commodity prices and economic growth in the pre and post Covid-19 period for China over the period from January 01, 2019, to April 01, 2021. This study employed the wavelet power spectrum, and the wavelet coherence approaches, and the frequency domain causality test, which is known for the causal identification in the long-run, medium-run, and short-run. The empirical findings reveal that the natural resource commodity prices are more vulnerable than the economic performance particularly in the Covid-19 peak period in China. However, the wavelet coherence approach demonstrates that a bidirectional causal association exists between natural resources commodity prices and economic performance at different frequencies and time periods. Additionally, the frequency domain causality test confirms that the natural resource commodity prices volatility significantly causes economic performance only in the medium-run. Based on the empirical findings, this study recommends that innovative technological and precautionary measures must be taken to accommodate or overcome natural disasters in the future, and tackle natural resources commodity prices volatility.
•Natural Resource Commodity Price Volatility and Economic growth have been tested.•Wavelet power spectrum and coherence approaches are used.•Higher volatility has been found in the natural resource commodity price during COVID-19 period.•Natural resource commodity price causes economic performance in the medium-run. |
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| AbstractList | Volatility in the prices of natural resources particularly in the Covid-19 period is the subject of major concern in recent times. Although many studies have empirically investigated the influence of oil prices on economic growth and Covid-19 on oil prices. However, the current study contributes to the literature by investigating the causal linkage of natural resources commodity prices and economic growth in the pre and post Covid-19 period for China over the period from January 01, 2019, to April 01, 2021. This study employed the wavelet power spectrum, and the wavelet coherence approaches, and the frequency domain causality test, which is known for the causal identification in the long-run, medium-run, and short-run. The empirical findings reveal that the natural resource commodity prices are more vulnerable than the economic performance particularly in the Covid-19 peak period in China. However, the wavelet coherence approach demonstrates that a bidirectional causal association exists between natural resources commodity prices and economic performance at different frequencies and time periods. Additionally, the frequency domain causality test confirms that the natural resource commodity prices volatility significantly causes economic performance only in the medium-run. Based on the empirical findings, this study recommends that innovative technological and precautionary measures must be taken to accommodate or overcome natural disasters in the future, and tackle natural resources commodity prices volatility. Volatility in the prices of natural resources particularly in the Covid-19 period is the subject of major concern in recent times. Although many studies have empirically investigated the influence of oil prices on economic growth and Covid-19 on oil prices. However, the current study contributes to the literature by investigating the causal linkage of natural resources commodity prices and economic growth in the pre and post Covid-19 period for China over the period from January 01, 2019, to April 01, 2021. This study employed the wavelet power spectrum, and the wavelet coherence approaches, and the frequency domain causality test, which is known for the causal identification in the long-run, medium-run, and short-run. The empirical findings reveal that the natural resource commodity prices are more vulnerable than the economic performance particularly in the Covid-19 peak period in China. However, the wavelet coherence approach demonstrates that a bidirectional causal association exists between natural resources commodity prices and economic performance at different frequencies and time periods. Additionally, the frequency domain causality test confirms that the natural resource commodity prices volatility significantly causes economic performance only in the medium-run. Based on the empirical findings, this study recommends that innovative technological and precautionary measures must be taken to accommodate or overcome natural disasters in the future, and tackle natural resources commodity prices volatility. •Natural Resource Commodity Price Volatility and Economic growth have been tested.•Wavelet power spectrum and coherence approaches are used.•Higher volatility has been found in the natural resource commodity price during COVID-19 period.•Natural resource commodity price causes economic performance in the medium-run. Volatility in the prices of natural resources particularly in the Covid-19 period is the subject of major concern in recent times. Although many studies have empirically investigated the influence of oil prices on economic growth and Covid-19 on oil prices. However, the current study contributes to the literature by investigating the causal linkage of natural resources commodity prices and economic growth in the pre and post Covid-19 period for China over the period from January 01, 2019, to April 01, 2021. This study employed the wavelet power spectrum, and the wavelet coherence approaches, and the frequency domain causality test, which is known for the causal identification in the long-run, medium-run, and short-run. The empirical findings reveal that the natural resource commodity prices are more vulnerable than the economic performance particularly in the Covid-19 peak period in China. However, the wavelet coherence approach demonstrates that a bidirectional causal association exists between natural resources commodity prices and economic performance at different frequencies and time periods. Additionally, the frequency domain causality test confirms that the natural resource commodity prices volatility significantly causes economic performance only in the medium-run. Based on the empirical findings, this study recommends that innovative technological and precautionary measures must be taken to accommodate or overcome natural disasters in the future, and tackle natural resources commodity prices volatility.Volatility in the prices of natural resources particularly in the Covid-19 period is the subject of major concern in recent times. Although many studies have empirically investigated the influence of oil prices on economic growth and Covid-19 on oil prices. However, the current study contributes to the literature by investigating the causal linkage of natural resources commodity prices and economic growth in the pre and post Covid-19 period for China over the period from January 01, 2019, to April 01, 2021. This study employed the wavelet power spectrum, and the wavelet coherence approaches, and the frequency domain causality test, which is known for the causal identification in the long-run, medium-run, and short-run. The empirical findings reveal that the natural resource commodity prices are more vulnerable than the economic performance particularly in the Covid-19 peak period in China. However, the wavelet coherence approach demonstrates that a bidirectional causal association exists between natural resources commodity prices and economic performance at different frequencies and time periods. Additionally, the frequency domain causality test confirms that the natural resource commodity prices volatility significantly causes economic performance only in the medium-run. Based on the empirical findings, this study recommends that innovative technological and precautionary measures must be taken to accommodate or overcome natural disasters in the future, and tackle natural resources commodity prices volatility. |
| ArticleNumber | 102338 |
| Author | Ali, Sher Ma, Qiang Khan, Zeeshan Zhang, Mei Kirikkaleli, Dervis |
| Author_xml | – sequence: 1 givenname: Qiang surname: Ma fullname: Ma, Qiang email: maqiang@lnpu.edu.cn organization: School of Economics and Management, Liaoning Petrochemical University , Liaoning Province, Fushun, China – sequence: 2 givenname: Mei surname: Zhang fullname: Zhang, Mei email: stzhangmei@yeah.net organization: College of Mathematics and Statistics, Hebei University of Economics and Business , 050061, Hebei province, Shijiazhuang, China – sequence: 3 givenname: Sher surname: Ali fullname: Ali, Sher email: drali@icp.edu.pk organization: Department of Economics, Islamia College Peshawar, Khyber-Pakhtunkhwa, Pakistan – sequence: 4 givenname: Dervis surname: Kirikkaleli fullname: Kirikkaleli, Dervis email: dkirikkaleli@eul.edu.tr organization: European University of Lefke, Faculty of Economic and Administrative Sciences, Department of Banking and Finance, Lefke, Northern Cyprus, TR-10, Mersin, Turkey – sequence: 5 givenname: Zeeshan surname: Khan fullname: Khan, Zeeshan email: zee8447@gmail.com, Zeeshan.17@sem.tsinghua.edu.cn organization: School of Economics and Management (SEM), Tsinghua University, Beijing, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34518720$$D View this record in MEDLINE/PubMed |
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| Keywords | Natural resources commodity prices Wavelet power spectrum Economic performance Covid-19 Wavelet coherence Oil price |
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| Snippet | Volatility in the prices of natural resources particularly in the Covid-19 period is the subject of major concern in recent times. Although many studies have... |
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| SubjectTerms | Bidirectionality Causality Coherence Commodities Commodity prices Coronaviruses COVID-19 Crude oil Economic development Economic growth Economic performance Economics Frequency domain analysis Natural disasters Natural resources Natural resources commodity prices Oil price Petroleum Prices Pricing Time periods Volatility Wavelet coherence Wavelet power spectrum |
| Title | Natural resources commodity prices volatility and economic performance: Evidence from China pre and post COVID-19 |
| URI | https://dx.doi.org/10.1016/j.resourpol.2021.102338 https://www.ncbi.nlm.nih.gov/pubmed/34518720 https://www.proquest.com/docview/2623047393 https://www.proquest.com/docview/2572527397 https://pubmed.ncbi.nlm.nih.gov/PMC8426032 |
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