{"title":"一个或多个知识生产函数?利用微数据映射创新活动","authors":"Andrea Conte, M. Vivarelli","doi":"10.2139/ssrn.870284","DOIUrl":null,"url":null,"abstract":"This paper discusses the determinants of three alternative measures of innovative output by looking at firm's own formal RD however, both inputs increase a firm's innovative intensity. Significant evidence is also found that small firms and firms belonging to low-tech sectors rely more on the acquisition of external technologies and on cooperation agreements, while larger firms in high-tech sectors rely more on their own formal R&D.","PeriodicalId":346559,"journal":{"name":"Innovation Measurement & Indicators eJournal","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"103","resultStr":"{\"title\":\"One or Many Knowledge Production Functions? Mapping Innovative Activity Using Microdata\",\"authors\":\"Andrea Conte, M. Vivarelli\",\"doi\":\"10.2139/ssrn.870284\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses the determinants of three alternative measures of innovative output by looking at firm's own formal RD however, both inputs increase a firm's innovative intensity. Significant evidence is also found that small firms and firms belonging to low-tech sectors rely more on the acquisition of external technologies and on cooperation agreements, while larger firms in high-tech sectors rely more on their own formal R&D.\",\"PeriodicalId\":346559,\"journal\":{\"name\":\"Innovation Measurement & Indicators eJournal\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"103\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Innovation Measurement & Indicators eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.870284\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovation Measurement & Indicators eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.870284","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
One or Many Knowledge Production Functions? Mapping Innovative Activity Using Microdata
This paper discusses the determinants of three alternative measures of innovative output by looking at firm's own formal RD however, both inputs increase a firm's innovative intensity. Significant evidence is also found that small firms and firms belonging to low-tech sectors rely more on the acquisition of external technologies and on cooperation agreements, while larger firms in high-tech sectors rely more on their own formal R&D.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
