数据包络分析
度量(数据仓库)
马尔奎斯特指数
样品(材料)
产业组织
技术变革
索引(排版)
计量经济学
经济
过程(计算)
创新过程
微观经济学
业务
计算机科学
生产力
全要素生产率
数学
统计
经济增长
宏观经济学
集聚经济
万维网
操作系统
化学
色谱法
数据库
作者
Claudio Cruz‐Cázares,Cristina Bayona Sáez,Teresa Garcı́a-Marco
出处
期刊:Research Policy
[Elsevier]
日期:2013-07-01
卷期号:42 (6-7): 1239-1250
被引量:282
标识
DOI:10.1016/j.respol.2013.03.012
摘要
This paper proposes a new approach to tackle the innovation–performance relationship. It addresses the, so far, mixed and inconclusive results of studies analyzing this relationship. We argue that the undifferentiated use of innovation inputs and outputs to measure firm innovativeness is not without problems, and that, from a productive perspective, they should be simultaneously analyzed. This study follows a two-stage empirical analysis using a sample of Spanish manufacturing firms for the period 1992–2005. By examining two inputs and two outputs of the innovation process in the first stage, we estimate technological innovation efficiency by means of an intertemporal data envelopment analysis (DEA) bootstrap and also observe the yearly efficiency changes based on a global Malmquist index. In the second stage we analyze the effect of technological innovation efficiency on firm performance through a generalized method of moments (GMM) system. The results support our arguments that the best measurement of outcomes of technological innovations is through the efficiency with which they are developed. In addition, we test the moderating effect of technological intensity level and firm size on the efficiency–performance relationship.
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