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)