作为优质中小企业的核心力量,专精特新“小巨人”企业不仅具备突出的创新实力,也是以点带链、助推产业链强链的关键主体。本文将新三板挂牌中小企业作为主要研究对象,借助国家级专精特新“小巨人”分批认定政策来构造准自然实验,采用多期双重差分模型探究了“小巨人”资质认定的供应链创新溢出效应。研究发现,“小巨人”资质认定能够通过资源效应、竞争效应和示范效应三重机制,显著促进其链上企业增强创新实力。进一步分析表明,该创新溢出效果因供应链主体和关系特征而异,当焦点企业替代性较弱、链上企业吸收能力较强以及供应链关系稳定性较高、交易强度较大、地理距离较近时,焦点“小巨人”企业发挥的创新外溢作用更突出。此外,“小巨人”资质认定还能对更高阶链上企业产生创新溢出效应。本文捕捉了“小巨人”沿供应链释放的“大能量”,既明晰了创新“正外部性”的供应链传播机理,也为政府着力构建中小企业梯度培育格局提供了实践启示。
专精特新“小巨人”资质认定与供应链创新溢出
摘要
参考文献
3 曹虹剑, 张帅, 欧阳峣, 等. 创新政策与“专精特新”中小企业创新质量[J]. 中国工业经济, 2022, (11): 135-154.
5 陈胜蓝, 刘晓玲. 生产网络中的创新溢出效应——基于国家级高新区的准自然实验研究[J]. 经济学(季刊), 2021, 21(5): 1839-1858.
15 王伟光, 韩旭. 企业战略性技术创新与产业自主可控水平[J]. 中国工业经济, 2024, (8): 43-60.
16 邬爱其, 吴轶珂, 戴维奇. 专精特新战略导向赋能中小企业成长的机制研究[J]. 中国人民大学学报, 2024, 38(5): 85-99.
19 杨金玉, 刘贯春, 葛震霆. 瞪羚企业的创新溢出效应——影响及作用机理考察[J]. 统计研究, 2024, 41(8): 84-97.
21 俞荣建, 徐玉蓉, 姚力, 等. 全球价值链创新溢出效应与机理——基于先进制造企业代工/买供关系的实证研究[J]. 管理世界, 2025, 41(2): 1-20,203,1.
26 赵晶, 孙泽君, 程栖云, 等. 中小企业如何依托“专精特新”发展实现产业链补链强链——基于数码大方的纵向案例研究[J]. 中国工业经济, 2023, (7): 180-200.
27 Borusyak K, Jaravel X, Spiess J. Revisiting event-study designs: Robust and efficient estimation[J]. Review of Economic Studies, 2024, 91(6): 3253-3285. DOI:10.1093/restud/rdae007
28 Callaway B, Sant’Anna P H C. Difference-in-differences with multiple time periods[J]. Journal of Econometrics, 2021, 225(2): 200-230. DOI:10.1016/j.jeconom.2020.12.001
29 Carvalho V M, Nirei M, Saito Y U, et al. Supply chain disruptions: Evidence from the great east Japan earthquake[J]. The Quarterly Journal of Economics, 2021, 136(2): 1255-1321. DOI:10.1093/qje/qjaa044
30 Chu Y Q, Tian X, Wang W Y. Corporate innovation along the supply chain[J]. Management Science, 2019, 65(6): 2445-2466. DOI:10.1287/mnsc.2017.2924
31 de Chaisemartin C, D’Haultfœuille X. Two-way fixed effects estimators with heterogeneous treatment effects[J]. American Economic Review, 2020, 110(9): 2964-2996. DOI:10.1257/aer.20181169
32 Elliott M, Golub B, Leduc M V. Supply network formation and fragility[J]. American Economic Review, 2022, 112(8): 2701-2747. DOI:10.1257/aer.20210220
33 Ersahin N, Giannetti M, Huang R D. Supply chain risk: Changes in supplier composition and vertical integration[J]. Journal of International Economics, 2024, 147: 103854. DOI:10.1016/j.jinteco.2023.103854
34 Goodman-Bacon A. Difference-in-differences with variation in treatment timing[J]. Journal of Econometrics, 2021, 225(2): 254-277. DOI:10.1016/j.jeconom.2021.03.014
35 Goyal S, Ahuja M, Kankanhalli A. Does the source of external knowledge matter? Examining the role of customer co-creation and partner sourcing in knowledge creation and innovation[J]. Information & Management, 2020, 57(6): 103325.
36 Hainmueller J. Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies[J]. Political Analysis, 2012, 20(1): 25-46. DOI:10.1093/pan/mpr025
37 Isaksson O H D, Simeth M, Seifert R W. Knowledge spillovers in the supply chain: Evidence from the high tech sectors[J]. Research Policy, 2016, 45(3): 699-706. DOI:10.1016/j.respol.2015.12.007
38 Petersen M A, Rajan R G. Trade credit: Theories and evidence[J]. The Review of Financial Studies, 1997, 10(3): 661-691. DOI:10.1093/rfs/10.3.661
39 Sun L Y, Abraham S. Estimating dynamic treatment effects in event studies with heterogeneous treatment effects[J]. Journal of Econometrics, 2021, 225(2): 175-199. DOI:10.1016/j.jeconom.2020.09.006
引用本文
陈福中, 罗科, 董康银. 专精特新“小巨人”资质认定与供应链创新溢出[J]. 外国经济与管理, 2026, 48(3): 135-152.
导出参考文献,格式为:





24
26
