世界经济 ›› 2017, Vol. 0 ›› Issue (6): 72-97.

• 马克思主义与当代世界经济学研究 • 上一篇    下一篇

出口中学:基于企业研发策略互动的视角

史青1, 李平2, 宗庆庆3   

  1. 1. 南京财经大学国际经贸学院;
    2. 中国社会科学院数量经济与技术经济研究所;
    3. 上海财经大学公共管理学院
  • 出版日期:2017-06-10 发布日期:2017-06-15
  • 作者简介:史青:echoshiqing@126.com;李平:lipingmsn@msn.com;宗庆庆:zongqingqing@126.com
  • 基金资助:
    作者感谢国家自然科学基金“‘二元经济结构’和‘高标准贸易自由化’双重背景下异质性企业转型升级及其社会福利效应研究”(71403076)、教育部重大课题“泛TPP经贸规则下我国融入国际价值链分工战略研究”(16JZD019)的资助

Learn by Exporting: New Insights from Firm Interaction of R&D Strategy

Shi Qing1, Li Ping2, Zong Qingqing3   

  • Online:2017-06-10 Published:2017-06-15

摘要: 本文在考虑企业研发内生性的前提下,引入企业研发投入策略互动,利用2005-2007年中国工业企业数据,结合倾向得分匹配法与空间自回归Tobit模型,构造不同的空间权重矩阵,全方位考察企业出口行为对其研发创新的影响。结果发现,企业出口行为确实促进了研发投入,由于中国企业更多模仿领先者而非开展研发竞赛,因此之前忽略研发策略互动的研究低估了出口对研发投入的促进作用;出口增大了新产品开发的研发投入力度;高科技行业研发创新的促进作用更加明显。这些结论既丰富了中国工业企业研发投入的行为机理,同时也完善了“出口中学”假说的经验研究。

关键词: 策略互动, 企业研发, 出口行为, 空间自回归Tobit模型

Abstract: Considering the endogeneity and interactive strategies of enterprises' R&D inputs, this paper investigates the impact of firms' exports on innovation behaviors. Using the propensity score matching method and the spatial autoregression Tobit model, the paper constructs different spatial-weight matrices from the data of Chinese industrial enterprises during 2005 and 2007. The results confirm that firm's exports have significantly contributed to the R&D investment. However, when Chinese firms make R&D decisions, they are more likely to imitate the strategies of the technology leader, rather than to participate in the R&D race. Therefore, the previous studies ignored the strategic interaction of R&D and underestimated this promotion effect and firm's learning effect. Our analysis shows that exports increase the R&D inputs of new products, and the effect is greater in high-tech industry than in others. This study enriches the behavior mechanism of R&D investment in China's manufacture industries and provides empirical evidence for the "Learning by Exporting" Hypothesis.

Key words: strategic interaction, firms' R&D, export behavior, spatial autoregression Tobit model

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