Abstract
The purpose of this paper is to establish what was the spatial distribution in Colombia of the request and granting of new creations between 2000 and 2016? For this, the spatial autocorrelation is calculated up to order 7 for the cumulative of each of the types of new creations requested and granted, and a spatial conglomerate model in order to identify department groups with respect to their behavior in innovation, considering as a proxy, the registrations and concessions of new creations of residents in Colombia between 2000 and 2016. Among the findings, it was identified that (i) in Colombia the registration culture is not available in a timely and adequate manner of the new creations; (ii) there is no evidence of spatial autocorrelation; (iii) in the departments of Amazonas, Vaupés, Guaviare, Guainía, Vichada, the former quartermaster, no registration was carried out between 2000 and 2016; (iv) it is necessary to promote the registration campaigns, education on the industrial property system and an increase in the points of service of the Superintendence of Industry and Commerce, in the departments of Cundinamarca and Santander, since they demonstrated a potential for the records of new creations.
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Notes
- 1.
It is necessary to indicate the differences between the innovation patents and the utility model. The utility model only contemplates the protection of product inventions. On the other hand, inventions of product and of procedures are protected in the invention patents. The period of protection of the utility model is 10 years, while for a patent of invention it is 20 years.
- 2.
Spatial autocorrelation implies that the value of a variable is conditioned by the value assumed by that variable in a neighboring region [17].
References
World Intellectual Property Organization¿Qué es la propiedad Intelectual? Ginebra: OMPI (2010). http://www.wipo.int/edocs/pubdocs/es/intproperty/450/wipo_pub_450.pdf
World Intellectual Property Organization: World Intellectual Property Indicators 2016. Ginebra: WIPO (2016). http://www.wipo.int/edocs/pubdocs/en/wipo_pub_941_2016.pdf
World Intellectual Property Organization: World Intellectual Property Indicators 2017. Ginebra: WIPO (2017). http://www.wipo.int/edocs/pubdocs/en/wipo_pub_941_2017.pdf
Lis-Gutiérrez, J.P., Gaitán-Angulo, M., Viloria, A., Cifuentes-Rueda, J., Lis-Gutiérrez, M.: Patent consortia: balance and prospects. J. Control Theory Appl. 9(44), 415–420 (2016). http://serialsjournals.com/serialjournalmanager/pdf/1495780779.pdf
Anderson, N., Potocnik, K., Zhou, J.: Innovation and creativity in organizations: a state-of-the-science review, prospective commentary, and guiding framework. J. Manag. 40(5), 1297–1333 (2014)
Hatak, I., Kautonen, T., Fink, M., Kansitas, J.: Innovativeness and family-firm performance: the moderating effect of family commitment. Technol. Forecast. Soc. Chang., 26 de Diciembre de 2014
Fink, C., Javorcik, B.S., Spatareanu, M.: Income-related biases in international trade: what do trademark registration data tell us? Rev. World Econ. 141(1), 79–103 (2005)
Greenberg, G.: Small firms, big patents? estimating patent value using data on israeli start-ups financing rounds. Ponencia presentada en “The 4th Israeli Strategy Conference”. 10, 183–196 (2010)
OMPI. La propiedad intelectual y las pequeñas y medianas empresas. Ginebra: OMPI (2012). http://www.wipo.int/aboutip/es/studies/publications/ip_smes.htm
Luna López, K., Solleiro Rebolledo, J.: La Gestión de la Propiedad Intelectual en Centros de Investigación Mexicanos: El Caso del Instituto Mexicano del Petróleo. J. Technol. Manag. Innov. 2, 157–169 (2007). http://66.147.247.32/jotmi_conicyt/index.php/GT/article/view/cas7/410
World Intellectual Property Organization and Superintendencia de Industria y Comercio. Reporte sobre la información en materia de Propiedad Intelectual en Colombia. SIC, Bogotá (2017)
Superintendencia de Industria y Comercio. Estadísticas [Base de datos]. SIC, Bogotá (2017). http://www.sic.gov.co/estadisticas-propiedad-industrial
Waniez, P.: Philcarto [Software] (2018). http://philcarto.free.fr
Moran, P.A.P.: The interpretation of statistical maps. J. Roy. Stat. Soc. B 10, 243–251 (1948)
Langrand, C., Pinzón, L.M.: Análisis de datos. Bogotá: Escuela Colombiana de Ingeniería (2009)
Gallardo, J.: Métodos Jerárquicos de Análisis Cluster (2015). http://www.ugr.es/~gallardo/pdf/cluster-3.pdf
Anselin, L.: Spatial Econometrics: Methods and Models. Kluwer Academic, Dordrecht (1988)
Smith, M., Goodchild, M., Longley, P.: Univariate classification schemes en geospatial analysis (2015). http://www.spatialanalysisonline.com/HTML/index.html?classification_and_clustering.htm
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Lis-Gutiérrez, JP., Lis-Gutiérrez, M., Gaitán-Angulo, M., Balaguera, MI., Viloria, A., Santander-Abril, JE. (2018). Use of the Industrial Property System for New Creations in Colombia: A Departmental Analysis (2000–2016). In: Tan, Y., Shi, Y., Tang, Q. (eds) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science(), vol 10943. Springer, Cham. https://doi.org/10.1007/978-3-319-93803-5_74
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