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首页> 外文期刊>Economics of innovation and new technology >Spillovers and absorptive capacity in the decision to innovate of Spanish firms: the role of human capital
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Spillovers and absorptive capacity in the decision to innovate of Spanish firms: the role of human capital

机译:在决定西班牙公司创新中的溢出和吸收能力:人力资本的作用

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摘要

This paper investigates whether the existence of knowledge spillovers and the capacity of firms to assimilate them, which we relate with R&D intensity and some human resource management practices, are associated with the decision to innovate of Spanish firms. In order to do this, we employ data from the 'Central de Balances' database, which covers both manufacturing and services firms during the period 2003-2007, and use an estimator proposed by Wooldridge [2005. Simple solutions to the initial conditions problem in dynamic nonlinear panel data models with unobserved heterogeneity. Journal of Applied Econometrics 20, no. 1: 39-54] for dynamic random effects discrete choice models. The empirical exercise provides evidence on the positive link between spillovers and the innovative behaviour of companies, not just for the knowledge generated in the same industry, but also for that generated in the same region or by the public sector. Moreover, this link is stronger for those firms with a higher capacity to absorb those spillovers. This ability not only works through firms' R&D capabilities, but also through factors such as the quality of the labour force, the share of temporary employment and the amount of resources spent in training. In addition to these factors, we find that innovation performance exhibits a high degree of inertia. Further, some other observed firm characteristics, such as size, sales growth, export behaviour, sector capital intensity or financial structure variables, are also found to be relevant determinants of the likelihood of innovation.
机译:本文研究了知识溢出的存在和企业吸收知识的能力是否与研发强度和一些人力资源管理实践有关,这些知识溢出与西班牙企业创新的决定有关。为了做到这一点,我们采用了“余额中心”数据库中的数据,该数据库涵盖了2003-2007年期间的制造业和服务业公司,并使用了Wooldridge [2005年提出的估算器。具有不可观测异质性的动态非线性面板数据模型中初始条件问题的简单解决方案。 Journal of Applied Econometrics 20,否。 1:39-54]用于动态随机效果离散选择模型。实证研究提供了证据,证明溢出与公司的创新行为之间存在着积极的联系,不仅是针对同一行业中产生的知识,而且还针对同一地区或公共部门中产生的知识。而且,对于那些有能力吸收这些溢出物的公司而言,这种联系更加牢固。这种能力不仅通过企业的研发能力发挥作用,而且还通过诸如劳动力素质,临时就业比例和培训资源投入等因素起作用。除了这些因素,我们发现创新绩效还表现出很高的惯性。此外,还发现其他一些观察到的公司特征,例如规模,销售增长,出口行为,部门资本强度或财务结构变量,也是创新可能性的相关决定因素。

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