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...
- 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)