Scientific linkages and firm productivity: Panel data evidence from Taiwanese electronics firms

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题名:	Scientific linkages and firm productivity: Panel data evidence from Taiwanese electronics firms
作者:	簡錦漢;Chen, Jong-Rong;Kan, Kamhon;Tung, I-Hsuan
贡献者:	管理學院產業經濟研究所
关键词:	Electronics industry;Impact analysis;Panel data;Patent citation;Private sector;Productivity;R&D;R&D spillover;Research & development;Scientific discoveries;Stock exchanges;Studies
日期:	2016-09-01
上传时间:	2026-04-23 12:49:43 (UTC+8)
出版者:	Elsevier;Amsterdam: Elsevier B.V
摘要:	摘要： ⬢We aim to understand how a patent⬢s citation of scientific publications (i.e., scientific linkage) affects the patent-owning firm⬢s productivity.⬢Panel data on a sample of electronic firms in Taiwan are used for the empirical analysis.⬢Unobserved factors affecting a firm⬢s scientific linkage and its productivity are controlled for by using the instrumental variable approach.⬢The findings indicate that scientific linkage raises a firm⬢s productivity.⬢Our findings imply that there is a need for government intervention to facilitate the translation of scientific discoveries to technological innovations. Using a panel of electronics firms listed on the Taiwan Stock Exchange, this paper explores the spillover of scientific research to the private sector by looking at the impact of the intensity a patent⬢s backward citation of scientific publications relative to citation of other patents on the patent-owning firm⬢s productivity. To identify the causal effect, we use measures of a firm⬢s financial constraints as instrumental variables to account for the potential endogeneity of scientific citation intensity of a patent. The empirical results suggest that the citation of scientific publications by a patent has a strong and positive effect on the patent-owning firm⬢s productivity. 出版者： Amsterdam: Elsevier B.V 出版日期： 2016-09-01 出處： Research policy, 2016-09, Vol.45 (7), p.1449-1459 資源來源： Elsevier ScienceDirect Journals Complete 版權： 2016 Elsevier B.V. 版權： Copyright Elsevier Sequoia S.A. Sep 2016 識別號： ISSN: 0048-7333 識別號： EISSN: 1873-7625 識別號： DOI: 10.1016/j.respol.2016.03.023 識別號： CODEN: REPYBP
显示于类别:	[產業經濟研究所] 期刊論文

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