金融结构与国家创新:来自OECD国家的证据
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  • 英文篇名:Financial Structure and National Innovation: Evidence from OECD Countries
  • 作者:周开国 ; 卢允之
  • 英文作者:Zhou Kaiguo;Lu Yunzhi;
  • 关键词:金融结构 ; 风险投资 ; 研发支出 ; 国家创新
  • 英文关键词:Financial Structure;;Venture Capital;;R&D Expenditure;;National Innovation
  • 中文刊名:GJJR
  • 英文刊名:Studies of International Finance
  • 机构:中山大学岭南学院;中山大学新华学院;
  • 出版日期:2019-03-12
  • 出版单位:国际金融研究
  • 年:2019
  • 期:No.383
  • 基金:国家自然科学基金项目(71572203);; 广东省基础研究及应用研究重大项目(2017WZDXM037);; 2016年广东省特色重点学科“公共管理”建设项目;; 中山大学高校基本科研业务费专项资金项目(16wkzd03)以及中山大学粤港澳发展研究院资助
  • 语种:中文;
  • 页:GJJR201903003
  • 页数:10
  • CN:03
  • ISSN:11-1132/F
  • 分类号:26-35
摘要
本文利用1989—2015年OECD国家行业面板数据,研究金融结构对该国制造业创新活动的影响。研究发现,独立型融资(例如,股票市场)越发达,越能显著地增加行业研发支出,这种影响在外部融资依赖性较强的行业尤为强烈。然而,关系型融资(例如,信贷市场)对创新活动的影响方向难以确定。当进一步引入风险投资市场相关变量时,关系型融资不再显著影响行业研发支出。以上结论对衡量行业创新活动的不同指标均稳健。考虑内生性问题,本文还使用了国家层面的面板VAR模型,发现一单位风险投资市场发展的冲击,对国家整体研发支出增长有较强的影响。本文结论能够为我国建设创新型国家获得金融支持提供决策依据,为如何提升金融服务实体经济能力提供参考建议。
        This paper investigates the effects of financial structure on national innovation in manufacturing industries using an industry-level panel data set of OECD countries from 1989 to 2015. The empirical results show that the more arm's length financing(e.g., stock market) is developed, the higher the industrial R&D expenditure becomes, which is especially obvious in industries more dependent on external finance. However, it is hard to determine the effects of relational financing(e.g., credit market) on R&D expenditure. Moreover, the effects of relational financing turn to be insignificant when venture capital market is controlled. This paper also discovers, with country-level panel VAR, that the shock of one standard deviation from venture capital market development will impose strong effects on national R&D expenditures. The conclusions may provide solid evidences and suggestions on the financial supports for China's construction of innovation-oriented country.
引文
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    (1)本文所用数据覆盖了31个国家的32个行业。31个国家分别为澳大利亚、奥地利、比利时、加拿大、智利、捷克、丹麦、爱沙尼亚、芬兰、法国、德国、匈牙利、冰岛、爱尔兰、以色列、意大利、日本、韩国、墨西哥、荷兰、新西兰、挪威、波兰、葡萄牙、斯洛伐克、斯洛文尼亚、西班牙、瑞典、瑞士、土耳其、英国。由于美国数据用于计算行业融资依赖性,因此本文不包含美国数据。部分细分行业由于数据缺失,被加总到更大的行业中,因此参与回归共有21个行业。此外,美国专利局的样本中共计26个行业。在处理数据过程中,我们发现许多匹配上的问题(如NAICS和ISIC存在一对多的情形)。由于篇幅所限,不再详细叙述处理过程,感兴趣的读者可向作者索取。
    (2)该数据股市市值和银行贷款余额来自国际货币基金组织(IMF),然而某些国家的股票市场数据存在缺失,因此总样本量会偏少(Beck et al.,2010;Cihák et al.,2012)。因此,本文通过手工搜集各国相关数据加以补充,感兴趣的读者可联系作者索取。此外,部分学者所使用的VentureXpert数据库来自各地大型风险投资者自拟的报告,因此它们可能并没有报告失败的案例(Nanda et al.,2017),低估了风投发展程度。
    (1)篇幅有限,未列示检验结果,感兴趣的读者可向作者索取。
    (1)一方面,许多研究均使用股票市场与银行信贷作为金融结构的衡量指标,本文为了保持一致性也如此构造该变量(张成思和刘贯春,2016);另一方面,正如前文所述,风险投资活动兼具了两种融资方式的优势,因此不能简单地归入直接融资或者间接融资。
    (1)为了更直接比较系数大小,通过引入虚拟变量以检验相邻两组系数之间的差异,所有模型的系数检验均在10%下显著。从第三组到第一组,风险投资与外部融资依赖性的交乘项系数逐渐增加,但是股市交乘项则没有此结果。回归结果可向作者索取。

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