Gii Innovation Resource Index And Agriculture In The Province Of Los Ríos; An Analysis Using Neural Networks

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Monge García, Marcelo Geovanny , Michalus, Juan Carlos , Maldonado, Silvina , Yenny Guiselli Torres Navarrete


Innovation is one of the main and fundamental tools for the development of the agricultural system, since it increases the productivity and competitiveness of any country. The objective of this research is to analyze the status of companies and enterprises as a development factor in the agricultural sector of the province of Los Ríos-Ecuador through the components of the Global Innovation Index (GII) based on the resources they possess for innovation. Within the methodology, principal component analysis, multiple linear correlation and ANOVA analysis of variance were used to relate the aforementioned territorial cut and the GII indexes. In addition, a neural network model was developed to analyze the importance of each factor; within the main deductions, it can be established that there is a relationship between the main innovation factors (innovation resources index) and the state of agricultural enterprises and ventures in the province of Los Ríos. Furthermore, the factors with the highest hierarchy for the development of the province based on the results of neural networks are: market sophistication, institutions, business sophistication, and based on the beta relationship coefficient the most important causality variables can be determined based on the development of the agricultural sector such as: infrastructure, human capital and institutions. With these results, it would be convenient to propose integral strategies based on Technology and Innovation Management models, focused on all the elements of innovation (Institutions, Human Capital, Infrastructure, Market Development, Business Development).

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