Causal relationships between economic activity and the mining industry in Chile

Issue title: Special section: Fuzzy Systems in Management and Information Science

Guest editors: José M. Merigó, Salvador Linares-Mustaros and Joan Carles Ferrer-Comalat

Article type: Research Article

Authors: Nicolas, Carolina^{a; *} | Rojas-Mora, Julio^b | Valenzuela-Fernández, Leslier^c

Affiliations: [a] Escuela de Ingeniería Comercial, Facultad de Economía y Negocios, Universidad Santo Tomás, Chile | [b] Department of Informatics Engineering, Faculty of Engineering, Universidad Católica de Temuco, Chile | [c] Department of Administration, School of Economics and Business, University of Chile, Santiago, Chile

Correspondence: [*] Corresponding author. Carolina Nicolas, Escuela de Ingeniería Comercial, Facultad de Economía y Negocios, Universidad Santo Tomás, Chile. E-mail: [email protected].

Abstract: The 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.

Keywords: Soft innovation, mining industry, forgotten effects theory, monte carlo method

DOI: 10.3233/JIFS-179633

Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5405-5412, 2020