Evidence map›Paper›PMID 34518720›Full record

ArticleResources policy2021

Natural resources commodity prices volatility and economic performance: Evidence from China pre and post COVID-19.

Qiang Ma, Mei Zhang, Sher Ali, Dervis Kirikkaleli, Zeeshan Khan

Abstract read
In one paragraph

Article in Resources policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qiang MaSchool of Economics and Management, Liaoning Petrochemical University (113001), Liaoning Province, Fushun, China.
Mei ZhangCollege of Mathematics and Statistics, Hebei University of Economics and Business , 050061, Hebei province, Shijiazhuang, China.
Sher AliDepartment of Economics, Islamia College Peshawar, Khyber-Pakhtunkhwa, Pakistan.
Dervis KirikkaleliEuropean University of Lefke, Faculty of Economic and Administrative Sciences, Department of Banking and Finance, Lefke, Northern Cyprus, TR-10, Mersin, Turkey.
Zeeshan KhanSchool of Economics and Management (SEM), Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Covid-19Economic performanceNatural resources commodity pricesOil priceWavelet coherenceWavelet power spectrum

Identifiers

PMID34518720
PMCPMC8426032

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.