Linking the utilization of mineral resources and climate change: A novel approach with frequency domain analysis

Abstract

Natural resources, climate change, and sustainable development are critical and simultaneously interrelated issues. This study investigates the interdependence between raw minerals material and sea level rise, considering the role of economic performance and material footprint employing wavelet locale multiple correlations from 1970 to 2019. The results provide strong evidence for cross-correlation of climate change with mineral resources, economic output, and domestic material consumption (biomass-fossil, metal, and non-metal) localized at the high frequency-time domain. However, the outcomes provide weak evidence for the association between bivariate time series at low frequency, which is a limitation in the short term. Based on the results, policymakers should implement effective environmental taxes and invest in cutting-edge technologies to optimize clean energy and mineral resources in a sustainable manner.

Keywords

Mineral resources / Sea level rise / Material footprint / Wavelet multiple correlation

CRediT authorship contribution statement

Sudipto Bhattacharjee: Writing – original draft, Visualization, Validation, Software, Methodology, Formal analysis, Data curation, Conceptualization. Sanjay Kumar Prajapati: Visualization, Resources, Methodology. Uma Shankar: Writing – review & editing, Validation, Supervision. O.P. Mishra: Writing – review & editing, Validation, Supervision, Resources, Project administration.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgement

Sudipto Bhattacharjee highly acknowledges IITM-Desk for fellowship support under the Ministry of Earth Sciences Research Fellowship Programme (MRFP). He extends his gratitude to Dr. R.S. Chatterjee (IIRS Dehradun), Mr. Tamal Samaddar (former MTech student, IIRS Dehradun), and Mr. Ravikant (Research Associate, National Center for Seismology, New Delhi) for sharing remote sensing knowledge and time-to-time advice. The authors thank the National Center for Seismology for providing waveform data and other necessary infrastructural support and computational facilities and supervision of the entire research for completion of this research work.

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