4.7 Article

Spatiotemporal dynamics and influencing factors of the global material footprint

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 29, Issue 12, Pages 18213-18224

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-16923-7

Keywords

Material footprint; Material flow analysis; Spatiotemporal dynamics; Sustainable development

Funding

  1. National Natural Science Foundation of China [41871204, 52070034]

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The study revealed that from 1995 to 2015, the global material footprint (MF) showed an increasing trend by 83%, with a per capita MF exhibiting clustering and increasing trend. High-high clustering and low-low clustering were observed around countries with high MF. The number of countries with high clustering increased during the study period, suggesting a need to improve resource utilization and develop energy-saving technologies.
Environmental pressures have rapidly increased in various regions worldwide due to globalization. Thus, sustainable consumption and production are crucial for sustainable resource development. The material footprint (MF) of 180 countries was calculated from 1995 to 2015, and spatial autocorrelation analysis was conducted to investigate the spatiotemporal trend of the global MF. The results show that the global MF presented an upward trend from 1995 to 2015, increasing by 83%, and we find that the global per capita MF exhibits clustering, with an increasing trend during the study period. The findings indicate that resource consumption is similar in neighboring areas, especially in countries with a high MF surrounded by countries with a high MF (high-high clustering) and countries with low-low clustering. In addition, the number of countries with high clustering increased during the study period. We should take advantage of clustering, improve resource utilization, increase the technical carrying capacity, and develop energy-saving technologies. In African regions with low-low clustering, the economy of the surrounding areas should be stimulated to strengthen economic and technological clustering. In addition, advanced technology should be incorporated to improve the efficiency of using natural resources. This study can provide a reference for the spatial distribution of sustainable resource development.

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