TRUCK DRIVERS STRIKE: THE MOST AFFECTED SECTORS AND THEIR SPACE DEPENDENCES
This study aims to investigate which sectors of the Brazilian economy were the most affected by the truckers strike that took place in May 2018, and if these sectors have spatial dependence on each other. The methodological approach of this research is made with Inoperabilty Input-Output Model (IIOM...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | Brasil |
| Institución: | Universidade de Taubaté (UNITAU) |
| Repositorio: | Revista brasileira de gestão e desenvolvimento regional |
| Idioma: | inglés portugués |
| OAI Identifier: | oai:ojs2.rbgdr.net:article/5601 |
| Acceso en línea: | https://www.rbgdr.net/revista/index.php/rbgdr/article/view/5601 |
| Access Level: | acceso abierto |
| Palabra clave: | Truckers strike Inoperability Input-Output Model Exploratory Analysis of Spatial Data. Greve dos caminhoneiros Inoperabilidade de Matriz Insumo-Produto Análise Exploratória de Dados Espaciais. |
| Sumario: | This study aims to investigate which sectors of the Brazilian economy were the most affected by the truckers strike that took place in May 2018, and if these sectors have spatial dependence on each other. The methodological approach of this research is made with Inoperabilty Input-Output Model (IIOM) and Exploratory Spatial Data Analysis (AEDE). In addition to the ground transportation sector itself, the sectors that were most affected by the truckers' strike were: the oil refining and coke oven sector and the automotive parts and accessories manufacturing sector, due to their high connections. with the paralyzed sector. In addition, global and local Moran I tests showed that in both univariate and bivariate analysis, the sectors most affected by the truckers strike have a statistically significant spatial dependence with the presence of clusters in the northeast region. |
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