Organic agriculture in brazilian microregions
This article analyzes the issue of the spatial distribution of properties with organic agriculture and its conditioning factors. The data used are from the Agricultural Census for the year 2017 at the micro-regional level and the methodological approach used is spatial in nature, namely global and l...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | Brasil |
| Recursos: | Universidade Estadual do Oeste do Paraná (UNIOESTE) |
| Repositorio: | Informe Gepec (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.e-revista.unioeste.br:article/32250 |
| Acesso em linha: | https://e-revista.unioeste.br/index.php/gepec/article/view/32250 |
| Access Level: | acceso abierto |
| Palavra-chave: | modelo GWR meio-ambiente economia verde medio ambiente economía verde Green economy Environment GWR Model |
| Resumo: | This article analyzes the issue of the spatial distribution of properties with organic agriculture and its conditioning factors. The data used are from the Agricultural Census for the year 2017 at the micro-regional level and the methodological approach used is spatial in nature, namely global and local spatial regressions. The results show that access to technical guidance positively influences the level of properties with organic agriculture, while mechanization has the opposite effect. This is due to the range of information available to the producer and the lower level of demand for machines in this type of production, respectively. On the other hand, factors related to the producer's age, education level and labor force presented particularities regarding the level of properties with organic agriculture. |
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