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A composite indicator of a firm's innovativeness. An empirical analysis based on survey data for Swiss manufacturing

机译:企业创新能力的综合指标。基于调查数据的瑞士制造业的实证分析

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摘要

Most empirical studies on innovative activity are based on a single (or a very small number of) indicator(s), a procedure not appropriate in view of the complexity of the innovation process. Therefore, in a perspective of ranking firms or industries according to their innovation intensity, we develop a composite measure of a firm's innovativeness by using factor analysis of a whole set of innovation variables. The resulting aggregate indicator is based on the extraction of two factors depicting the technical and the market dimension in the case of product innovations; for new production techniques, the two factors refer to the input and output side of the generation of innovations. The overall measure is superior to any single innovation variable as shown by canonical correlations which make use of an empirically validated model of innovation behaviour. The composite indicator yields economically plausible results at the firm (e.g. innovation patterns) and industry levels (e.g. sensible similarities and differences of ranking according to the aggregate measure and R&D intensity, respectively). Provided similar indicators and methods are used for several countries, a composite indicator may be useful for international comparisons.
机译:关于创新活动的大多数实证研究都是基于单个(或很少数量)的指标,鉴于创新过程的复杂性,该程序不适合。因此,从根据公司或行业的创新强度对公司或行业进行排名的角度出发,我们通过使用整套创新变量的因子分析来开发企业创新能力的综合度量。得出的汇总指标基于两个因素的提取,这些因素描述了产品创新情况下的技术和市场规模;对于新的生产技术,这两个因素是指创新产生的投入和产出方面。总体度量优于任何单个创新变量,如通过使用经经验验证的创新行为模型的典范相关性所示。综合指标在公司(例如创新模式)和行业水平(例如分别根据总的度量和R&D强度得出的合理相似性和排名差异)产生在经济上合理的结果。如果几个国家都使用类似的指标和方法,则综合指标可能对国际比较有用。

著录项

  • 来源
    《Research policy》 |1996年第4期|p. 633-645|共13页
  • 作者

    Heinz Hollenstein;

  • 作者单位

    Center for Research of Economic Activity, Swiss Federal Institute of Technology, Weinbergstrasse 35, ETH Zentrum, CH-8092, Zurich, Switzerland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 科学、科学研究;
  • 关键词

  • 入库时间 2022-08-18 02:58:10

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