Abstract

This study provides new empirical evidence regarding the relevance of evaluation criteria and firm characteristics for public R&D funding decisions. The database used contains both accepted and rejected R&D project proposals, project evaluation scores, and several firm characteristics. The probit estimations show that proposals with high scores on innovative content, spillover, and knowledge gain are significantly more likely to be approved and that most firm-level characteristics are not significant, except for firm size. For example, good or very good assessments of innovative content raise the acceptance probability by between 18 and 37 percentage points, respectively. Small firms are more likely to receive a grant.

中文翻译：

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评价标准与公司特征之间的关系，作为公共研发资金的决定因素

摘要

这项研究提供了有关评估标准和公司特征与公共R＆D资金决策的相关性的新的经验证据。使用的数据库包含已接受和拒绝的R＆D项目建议书，项目评估分数和一些公司特征。概率估计表明，在创新内容，溢出和知识增益方面得分较高的提案很可能会获得批准，并且大多数公司级别的特征（公司规模除外）并不重要。例如，对创新内容的良好或非常好的评估分别将接受概率提高了18％至37个百分点。小公司更有可能获得赠款。