{"title":"Female R&D teams and patents as quality signals in innovative firms","authors":"P. Beneito, M. E. Rochina-Barrachina, A. Sanchis","doi":"10.1080/10438599.2022.2052053","DOIUrl":null,"url":null,"abstract":"ABSTRACT Innovative firms use patents to signal the quality of their R&D teams in evaluation processes affected by asymmetric information. Examples of these processes occur when applying for finance from external sources or when searching for collaboration partners for innovation projects. In this paper we provide evidence that, in these cases, firms' external agents undervalue patents of female R&D teams as compared to patents of male R&D teams. We investigate this issue using data of Spanish innovating firms from PITEC, spanning 2005–2014, a panel database that follows the structure of the European Community Innovation Surveys (CIS). We interpret our results as consistent with an evaluation bias against female researchers, making them to be subject to a greater scrutiny as compared to their male counterparts, and thereby suggesting the existence of gender discrimination in R&D.","PeriodicalId":51485,"journal":{"name":"Economics of Innovation and New Technology","volume":"32 1","pages":"891 - 922"},"PeriodicalIF":3.2000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economics of Innovation and New Technology","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/10438599.2022.2052053","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT Innovative firms use patents to signal the quality of their R&D teams in evaluation processes affected by asymmetric information. Examples of these processes occur when applying for finance from external sources or when searching for collaboration partners for innovation projects. In this paper we provide evidence that, in these cases, firms' external agents undervalue patents of female R&D teams as compared to patents of male R&D teams. We investigate this issue using data of Spanish innovating firms from PITEC, spanning 2005–2014, a panel database that follows the structure of the European Community Innovation Surveys (CIS). We interpret our results as consistent with an evaluation bias against female researchers, making them to be subject to a greater scrutiny as compared to their male counterparts, and thereby suggesting the existence of gender discrimination in R&D.
期刊介绍：
Economics of Innovation and New Technology is devoted to the theoretical and empirical analysis of the determinants and effects of innovation, new technology and technological knowledge. The journal aims to provide a bridge between different strands of literature and different contributions of economic theory and empirical economics. This bridge is built in two ways. First, by encouraging empirical research (including case studies, econometric work and historical research), evaluating existing economic theory, and suggesting appropriate directions for future effort in theoretical work. Second, by exploring ways of applying and testing existing areas of theory to the economics of innovation and new technology, and ways of using theoretical insights to inform data collection and other empirical research. The journal welcomes contributions across a wide range of issues concerned with innovation, including: the generation of new technological knowledge, innovation in product markets, process innovation, patenting, adoption, diffusion, innovation and technology policy, international competitiveness, standardization and network externalities, innovation and growth, technology transfer, innovation and market structure, innovation and the environment, and across a broad range of economic activity not just in ‘high technology’ areas. The journal is open to a variety of methodological approaches ranging from case studies to econometric exercises with sound theoretical modelling, empirical evidence both longitudinal and cross-sectional about technologies, regions, firms, industries and countries.
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