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A structural decomposition of global raw material consumption

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  • Pothen, Frank

Abstract

Between 1995 and 2008, the global extraction of biomass, fossil fuels, and minerals grew from 48 to 69 billion metric tons. This study investigates how changing consumption and investment patterns affected the aforementioned increase. A series of Structural Decomposition Analyses at a global level as well as for 38 major economies is conducted. The analyses disentangle the drivers of Raw Material Consumption, which measures the extraction of materials necessary to produce a country's final demand. Data is taken from the World Input-Output Database. The results suggest that rising final demand is the predominant driver of growing Raw Material Consumption. Furthermore, final demand shifted into countries that consume material intensive goods. This shift was particularly pronounced for construction minerals and investment, indicating that infrastructure investment in industrialising nations was a key driver. The mix of goods in final demand slightly dematerialised. Falling material intensities in extractive industries as well as changes in production and trade patterns decelerated the growth of Raw Material Consumption. The country-level Structural Decomposition Analyses obtained qualitatively similar results.

Suggested Citation

  • Pothen, Frank, 2015. "A structural decomposition of global raw material consumption," ZEW Discussion Papers 15-035, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:15035
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    Cited by:

    1. Kaltenegger, Oliver & Löschel, Andreas & Pothen, Frank, 2017. "The effect of globalisation on energy footprints: Disentangling the links of global value chains," Energy Economics, Elsevier, vol. 68(S1), pages 148-168.
    2. Zhang, Lulu & Yu, Chang & Cheng, Baodong & Yang, Chao & Chang, Yuan, 2020. "Mitigating climate change by global timber carbon stock: Accounting, flow and allocation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    3. Yanxian Li & Jiawen Wang & Dan Xian & Yan Zhang & Xiangyi Yu, 2021. "Regional consumption, material flows, and their driving forces: A case study of China's Beijing–Tianjin–Hebei (Jing–Jin–Ji) urban agglomeration," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 751-764, June.
    4. Pothen, Frank & Tovar Reaños, Miguel Angel, 2018. "The Distribution of Material Footprints in Germany," Ecological Economics, Elsevier, vol. 153(C), pages 237-251.
    5. Song, Yi & Huang, Jianbai & Zhang, Yijun & Wang, Zhiping, 2019. "Drivers of metal consumption in China: An input-output structural decomposition analysis," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    6. Zhang, Danyang & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2021. "The changing role of global value chains in CO2 emission intensity in 2000–2014," Energy Economics, Elsevier, vol. 93(C).
    7. Raphael Asada & Tamás Krisztin & Fulvio di Fulvio & Florian Kraxner & Tobias Stern, 2020. "Bioeconomic transition?: Projecting consumption‐based biomass and fossil material flows to 2050," Journal of Industrial Ecology, Yale University, vol. 24(5), pages 1059-1073, October.
    8. Yang, Yafei & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2022. "Patterns and determinants of carbon emission flows along the Belt and Road from 2005 to 2030," Ecological Economics, Elsevier, vol. 192(C).
    9. Matthias Pfaff & Rainer Walz, 2021. "Analysis of the development and structural drivers of raw‐material use in Germany," Journal of Industrial Ecology, Yale University, vol. 25(4), pages 1063-1075, August.
    10. Asada, Raphael & Stern, Tobias, 2018. "Competitive Bioeconomy? Comparing Bio-based and Non-bio-based Primary Sectors of the World," Ecological Economics, Elsevier, vol. 149(C), pages 120-128.

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    More about this item

    Keywords

    Raw Material Consumption; Structural Decomposition Analysis; Input-Output Models;
    All these keywords.

    JEL classification:

    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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