Causal relationships between economic activity and the mining industry in Chile

Simple item page
datacite.alternateIdentifier.citationJOURNAL OF INTELLIGENT & FUZZY SYSTEMS,Vol.38,5405-5412,2020
datacite.alternateIdentifier.doi10.3233/JIFS-179633
datacite.creatorNicolas, Carolina
datacite.creatorRojas Mora, Julio
datacite.creatorValenzuela-Fernandez, Leslier
datacite.date2020
datacite.subject.englishSoft innovation
datacite.subject.englishmining industry
datacite.subject.englishforgotten effects theory
datacite.subject.englishmonte carlo method
datacite.titleCausal relationships between economic activity and the mining industry in Chile
dc.date.accessioned2021-04-30T16:40:40Z
dc.date.available2021-04-30T16:40:40Z
dc.description.abstractThe aim of this study is to examine the incidence of economic activity on soft innovation in the mining sector. Through a global analysis of indirect incidents and using the theory of forgotten effects. Thus, the case of the mining industry in Chile was analyzed, given that it is one of the industries that contributes the most to GDP in Chile. The empirical study was carried out through the application of a structured survey towards three experts from the mining sector. In addition, the study concludes with evidence that oil price has a direct incidence on investments in mining and economic expectations, and indirectly in average income middle managers, market share of the company in the mining sector, and growth of imports and exports in the mining sector.
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/3253
dc.language.isoen
dc.publisherIOS PRESS
dc.sourceJOURNAL OF INTELLIGENT & FUZZY SYSTEMS
oaire.resourceTypeArticle
uct.catalogadorWOS
uct.indizacionSCI
uct.indizacionSSCI
Files
Collections
MigraciĆ³n Web of Science