Does COVID-19 pandemic cause natural resources commodity prices volatility? Empirical evidence from China

Guo, Shanwen; Wang, Qibin; Hordofa, Tolassa Temesgen; Kaur, Miss Prabjot; Bahetta, Soufiyan; Maneengam, Apichit

doi:10.1016/j.resourpol.2022.102721

Cited by 18 publications

(2 citation statements)

References 41 publications

(82 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The condition before and impact after the COVID-19 pandemic have been studied on several topics like air quality, air pollution, environmental variables [12][13][14], but none on wild resources. The reduction of human activity and productive chains caused an increase in the price of natural resources [15]. Contrastingly, natural resources have thrived throughout the pandemic [16].…”

Section: The Effect Of the Pandemic On Natural Resourcesmentioning

confidence: 99%

Affectation of COVID-19 pandemic on the use and abundance of wild resources in Tabasco, Mexico: A qualitative assessment

Martínez-Sánchez,

Zequeira Larios,

Hernandez Ramirez

2024

PLoS ONE

View full text Add to dashboard Cite

Southern Mexico is particularly rich in natural resources, yet unemployment has risen to 8% during the COVID-19 pandemic. The effect of the pandemic on the use and abundance of Tabasco’s wild resources was examined through personal surveys. By using Microsoft Forms® with cell phones 1,963 surveys were collected. Cronbach’s alpha, Z-value, and chi2 were calculated using the MAXQDA Analytics Pro program. A higher abundance of wild resources before the pandemic than today (57% vs. 11%) was observed. During the pandemic, people referred more to a high use (28%) of resources than to a low use (20%). This caused the low abundance or scarcity of wild products to be greater during the pandemic than before the pandemic (43% vs. 4%). Wild foods and timber were the most used products. The pandemic has produced a greater use of natural resources probably due to the high unemployment rate in rural areas. Future studies of wild products should address the relevant products in the locality and their even sampling. Finding suitable respondents is highly recommended.

show abstract

Section: The Effect Of the Pandemic On Natural Resourcesmentioning

confidence: 99%

Affectation of COVID-19 pandemic on the use and abundance of wild resources in Tabasco, Mexico: A qualitative assessment

Martínez-Sánchez,

Zequeira Larios,

Hernandez Ramirez

2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…A fourth branch discusses the impact of the Covid-19 on commodity prices dynamics. Guo et al (2022) analyze the impact that COVID-19 will have on the fluctuating pricing of natural resources commodities. They use wavelet power spectrum, wavelet coherence, and data from time series originating in China.…”

Section: Brief Literature Reviewmentioning

confidence: 99%

Booms in commodities price: assessing disorder and similarity overeconomic cycles

Fernandes¹,

Araujo²,

Silva³

et al. 2022

Preprint

View full text Add to dashboard Cite

This paper provides an overview of the commodities market, considering three relevant attributes: predictability, similarity, and efficiency. We examine the monthly spot and futures prices time series for 22 commodities from January 1984 until January 2022 with 457 observations. We estimate the permutation entropy (𝐸 𝑠 ) and Fisher information measure 𝐹 𝑠 using the Bandt & Pompe method (BPM). We employ the value of these two complexity measures to construct the Shannon-Fisher Causality Plane (SFCP), which allows us to evaluate the disorder and assess the randomness present in the monthly spot and futures prices time series for these commodities. Moreover, we apply 𝐸 𝑠 and 𝐹 𝑠 to classify the commodities using complexity hierarchy. We find that the commodities that are located farther from the random ideal position (𝐸 𝑠 = 1, 𝐹 𝑠 = 0) in the SFCP, such as Natural gas, Europe; Iron ore, cfr spot, and Potassium chloride are marked by lower entropy, higher predictability and lower efficiency. In contrast, the commodities that are located near the random ideal position (𝐸 𝑠 = 1, 𝐹 𝑠 = 0) in the SFCP, such as Crude oil -Brent; Crude oil -average, and Silver are characterized by higher entropy, lower predictability and higher efficiency. The K-means algorithm and the hierarchical cluster grouped commodities into only three distinct groups, which is a strong indication that commodity prices have very similar behaviour.

show abstract

The impact of COVID-19 uncertainties on energy market volatility: Evidence from the US markets

Sharif,

Ghouli,

Bouteska

et al. 2024

Economic Analysis and Policy

View full text Add to dashboard Cite

Does COVID-19 pandemic cause natural resources commodity prices volatility? Empirical evidence from China

Cited by 18 publications

References 41 publications

Affectation of COVID-19 pandemic on the use and abundance of wild resources in Tabasco, Mexico: A qualitative assessment

Affectation of COVID-19 pandemic on the use and abundance of wild resources in Tabasco, Mexico: A qualitative assessment

Booms in commodities price: assessing disorder and similarity overeconomic cycles

The impact of COVID-19 uncertainties on energy market volatility: Evidence from the US markets

Contact Info

Product

Resources

About