Patent value index: Measuring Brazilian green patents based on family size, grant, and backward citation

Objective. The Patent Value Index is created to identify the most valuable patents based on the evidence yielded by different agents in the patenting chain. Design/Methodology/Approach. The agents and indicators are the following: (a) patent holder (number of countries where the invention is protected); (b) Brazilian IP Office (INPI, the patent-granting agent), and (c) users (number of citations). Brazilian green patents were selected for the application of the index. Data was collected on the Global Patent Index. 478 patents were found, the values of which were calculated by the index. Using the overall score median, the population was divided into two groups: (1) upper-half median (composed of the highest-scoring patents) and (2) lower-half median (lowest-scoring patents). Results/Discussion. The results identified converging behavior among the values demonstrated by the three agents, as the patents in the first 183 positions evidence that 65.5% are from foreign countries, 77.6% belong to companies, 96.2% have a patent family, 86.9% have a Patent Cooperation Treaty request, 78.7% were granted, and 74.9% are cited by other patents. Regarding the 295 patents of the lower median, 94.6% are Brazilian, 44.7% belong to individuals, 22.2% were granted, 4% are cited, and 9.6% have a patent family. Conclusions. The constructed index can be used for those patentometric studies aimed at investigating qualitative aspects of inventions. Originality/Value. A value triad, –with data available in databases–, is created to evaluate patents according to different agents in the inventive chain

Patentes verdes brasileiras: comportamento das invenções que recebem o maior número de citações

he objective of the research reported here is to ascertain what variables influence the behavior of the patents that receive the most citations. The literature recognizes the number of forward citations as one of the most important indicators for discovering an invention’s value. This claim is tested in a research population consisting of the set of Brazilian green patents registered in the Global Patent Index database. The following variables are used: applicant type, applicant country, number of inventors, International Patent Classification code, family size, renewals, Patent Cooperation Treaty applicability, triadic family, grant and number of citations. These variables are used to create a decision tree and a logistic regression with the Statistical Package for the Social Sciences, V.21, and MS Excel. The results show that, in the behavior of Brazilian green patents, family size and renewals are connected to the mostcited patents. Another significant variable, but one whose numbers were not significant enough to place it in the decision tree, was membership in the Patent Cooperation Treaty.O objetivo da pesquisa é verificar quais são as variáveis que influenciam o comportamento das patentes que mais recebem citações. A literatura reconhece o número de citações recebidas como um dos indicadores mais importantes para descobrir o valor de uma invenção. Essa alegação é testada em uma população de pesquisa que consiste no conjunto de patentes verdes brasileiras registradas no banco de dados do Global Patent Index. São utilizadas as seguintes variáveis: tipo de requerente, país do requerente, número de inventores, código de classificação internacional de patentes, tamanho da família, renovações, solicitação do Tratado de Cooperação em Matéria de Patentes, família triádica, concessão e número de citações. Essas variáveis são utilizadas para criar uma árvore de decisão e uma regressão logística com o Statistical Package for the Social Sciences, V.21, e o MS Excel. Os resultados mostram que, no comportamento das patentes verdes brasileiras, o tamanho da família e as renovações estão vinculados às patentes mais citadas. Outra variável significativa, mas cujos números não foram significativos o suficiente para colocá-la na árvore de decisão, foi a adesão ao Tratado de Cooperação em Matéria de Patentes

Patentes verdes brasileiras: comportamento das invenções que recebem o maior número de citações

he objective of the research reported here is to ascertain what variables influence the behavior of the patents that receive the most citations. The literature recognizes the number of forward citations as one of the most important indicators for discovering an invention’s value. This claim is tested in a research population consisting of the set of Brazilian green patents registered in the Global Patent Index database. The following variables are used: applicant type, applicant country, number of inventors, International Patent Classification code, family size, renewals, Patent Cooperation Treaty applicability, triadic family, grant and number of citations. These variables are used to create a decision tree and a logistic regression with the Statistical Package for the Social Sciences, V.21, and MS Excel. The results show that, in the behavior of Brazilian green patents, family size and renewals are connected to the mostcited patents. Another significant variable, but one whose numbers were not significant enough to place it in the decision tree, was membership in the Patent Cooperation Treaty.O objetivo da pesquisa é verificar quais são as variáveis que influenciam o comportamento das patentes que mais recebem citações. A literatura reconhece o número de citações recebidas como um dos indicadores mais importantes para descobrir o valor de uma invenção. Essa alegação é testada em uma população de pesquisa que consiste no conjunto de patentes verdes brasileiras registradas no banco de dados do Global Patent Index. São utilizadas as seguintes variáveis: tipo de requerente, país do requerente, número de inventores, código de classificação internacional de patentes, tamanho da família, renovações, solicitação do Tratado de Cooperação em Matéria de Patentes, família triádica, concessão e número de citações. Essas variáveis são utilizadas para criar uma árvore de decisão e uma regressão logística com o Statistical Package for the Social Sciences, V.21, e o MS Excel. Os resultados mostram que, no comportamento das patentes verdes brasileiras, o tamanho da família e as renovações estão vinculados às patentes mais citadas. Outra variável significativa, mas cujos números não foram significativos o suficiente para colocá-la na árvore de decisão, foi a adesão ao Tratado de Cooperação em Matéria de Patentes

Construction of a Patent Value Index by measuring of indirect economic and technological value

Abstract The present research intends to create an index of indirect economic (through patent family size and paid renewals) and technological value (forward citations), in order to identify possible innovations among inventions. The novelty of the research lies on the construction of equations reproducible by any field of knowledge, due to their intelligibility. In addition, it details the different steps to create the search database, which comprises free resources, trial versions and personal effort. After the construction of the index and its application, the patent population was divided into quartiles. Quartile 1 possibly houses innovation patents, as it was found that the value indicators assessed go together and relate to each other. Their behavior was shown to be such that, when one is present, there is a higher chance of the others appearing as well. The logical justification for this is that, if an invention has broad market potential, depositors will also protect the patent outside their own country; the most practical way of doing so is the Patent Cooperation Treaty application. Thus, the higher the number of countries where a patent is published and translated, the more likely it is to be cited. And if by then patents prove somehow profitable for their holders, they will continue to pay for renewals on time. This index is configured as a decision-supporting tool that seeks to rely on qualitative and strategic information

Scientific collaboration between Brazil and Spain: journals and citations

Collaboration in science has been studied from different perspectives. At a country level, it is important to determine whether international collaboration improves the quality and visibility of a nation´s output of papers. This study is part of a research work that seeks to map the characteristics of the scientific production of Brazil and Spain and the documents produced in collaboration between them. The objective of the analysis presented here was to establish the importance of collaboration for each country and of the vehicles used for publishing, by observing indicators for the first quartile and citations. The corpus of the research is comprised of publication records that contain at least one Brazilian and Spanish address in the author address field, from 2006 to 2012, in the Web of Science databases. Findings suggest that for Brazil, international scientific collaboration with Spain raises the number of articles published in Q1 journals. Therefore, the country should continue promoting this type of collaboration. For Spain, collaboration with Brazil is not reflected in impact. The increased number of agreements and the incentives given to projects in collaboration between the two countries could expand the quality and visibility of their output