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Forecasting the ecological footprint of G20 countries in the next 30 years.
Eufrasio Espinosa, Rafael M; Lenny Koh, S C.
Afiliação
  • Eufrasio Espinosa RM; Advanced Resource Efficiency Centre, Management School, University of Sheffield, Sheffield, UK. r.eufrasio@sheffield.ac.uk.
  • Lenny Koh SC; Advanced Resource Efficiency Centre, Management School, University of Sheffield, Sheffield, UK.
Sci Rep ; 14(1): 8298, 2024 Apr 09.
Article em En | MEDLINE | ID: mdl-38594329
ABSTRACT
The Ecological Footprint evaluates the difference between the availability of renewable resources and the extent of human consumption of these resources. Over the past few decades, historical records have shown an accelerated decline in the availability of resources. Based on national footprint and biocapacity accounts, this analysis aims to advance the forecasting of the G20 countries' ecological footprints over a 30-year time frame. We employed a time series forecasting approach implemented in Python, which included-modular regression (Prophet) and Autoregressive Integrated Moving Average (ARIMA & Auto-ARIMA) methods. We evaluated and combined the performance of these three methods. The results indicated that among the largest economies of the G20, only four countries are projected to have a positive ecological footprint balance by 2050. These countries share the common denominator of large land areas and a moderate population growth projection. However, the overall trend of the indicator suggests that it will continue to decline.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido