Forecasting biocapacity and ecological footprint at a worldwide level to 2030 using neural networks

Constant environmental deterioration is a problem widely addressed by multiple international organizations. However, given the current economic and technological limitations, alternatives that immediately and significantly impact environmental degradation negatively affect contemporary development a...

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Autores:
Moros Ochoa, María Andreína
Castro Nieto, Gilmer Yovani
Quintero Español, Anderson
Llorente Portillo, Carolina
Tipo de recurso:
Article of investigation
Fecha de publicación:
2022
Institución:
Colegio de Estudios Superiores de Administración
Repositorio:
Repositorio CESA
Idioma:
eng
OAI Identifier:
oai:repository.cesa.edu.co:10726/5034
Acceso en línea:
http://hdl.handle.net/10726/5034
https://doi.org/10.3390/ su141710691
Palabra clave:
Biocapacity
Ecological footprint
Sustainable business models
Neural networks
Rights
openAccess
License
Abierto (Texto Completo)