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Unravelling Africa's raw material footprints and their drivers

Author

Listed:
  • Albert Kwame Osei-Owusu
  • Michael Danquah
  • Edgar Towa

Abstract

This paper applies an environmentally extended input-output analysis, leveraging the Eora database, to estimate the global raw material footprints of 51 African nations from 1995 to 2015. It employs least absolute shrinkage and selection operator and panel regression models to quantify the effects of diverse variables on Africa's raw material footprints. The findings show that the raw material footprints of Africa's production and consumption soared by 41 per cent and 38 per cent, respectively, from 1995 to 2015, mainly driven by biomass and construction materials.

Suggested Citation

  • Albert Kwame Osei-Owusu & Michael Danquah & Edgar Towa, 2022. "Unravelling Africa's raw material footprints and their drivers," WIDER Working Paper Series wp-2022-115, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2022-115
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    References listed on IDEAS

    as
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    2. Stefan Giljum & Hanspeter Wieland & Stephan Lutter & Nina Eisenmenger & Heinz Schandl & Anne Owen, 2019. "The impacts of data deviations between MRIO models on material footprints: A comparison of EXIOBASE, Eora, and ICIO," Journal of Industrial Ecology, Yale University, vol. 23(4), pages 946-958, August.
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    5. Manfred Lenzen & Arne Geschke & James West & Jacob Fry & Arunima Malik & Stefan Giljum & Llorenç Milà i Canals & Pablo Piñero & Stephan Lutter & Thomas Wiedmann & Mengyu Li & Maartje Sevenster & Janez, 2022. "Implementing the material footprint to measure progress towards Sustainable Development Goals 8 and 12," Nature Sustainability, Nature, vol. 5(2), pages 157-166, February.
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