基于企业创新主体地位尚未完全确立的典型事实,本文从企业内源性创新动力视角,运用PVAR模型,实证检验现阶段中国制造业企业是否陷入“创新驱动发展困境”及其内在原因。研究发现:制造业企业创新资源的吸收和转化能力不足,企业创新活动正向效应的长期性和贡献度并不理想,企业内源性创新动力普遍偏低,创新尚未成为企业发展的第一动力,制造业企业仍陷入“创新驱动发展困境”,并且这一现象在国有企业和大型企业更加明显。因此,构建以企业为主体的创新新格局,加强制造业企业对创新资源的吸收和转化能力,是解决制造业企业发展困境的突破口。对于国有企业和大型企业而言,激发内源性创新动力、纠正“策略懈怠”的态度是重中之重。对于中小型企业而言,依靠国家“支持中小微企业成为创新重要发源地”的制度红利,积极从事基础研究,是企业发展的长久之道。
Abstract
At present, Chinese manufacturing enterprises are still characterized as “large but not strong, clustered but not concentrated”, and the phenomenon of “dramatic increase in innovation investment” and “slow increase in total factor productivity” coexists at the data level. The role of innovation on the development of manufacturing enterprises has not yet reached a unanimous conclusion. Moreover, there is a lack of research on the long-term nature, contribution and heterogeneity of economic benefits generated by different innovation behaviors of enterprises, as well as the endogenous innovation dynamics of enterprises at this stage. Therefore, it is of practical and policy importance to examine the long-term effects and actual contributions of innovation activities of enterprises at this stage, as well as the feed-back effects of enterprise performance improvement on the scale and intensity of enterprise innovation and different innovation behavior choices, to test whether manufacturing enterprises are caught in the "innovation-driven development dilemma".This paper, based on the micro-data of Chinese manufacturing enterprises from 2007-2019, and based on the typical fact that the status of enterprises as innovation subjects has not been fully established, empirically examined whether Chinese manufacturing enterprises are caught in the "innovation-driven development dilemma" and its intrinsic causes from the perspective of endogenous innovation dynamics. The results of the study are as follows: first, there is an obvious downward pressure on the positive effect of innovation activities on enterprise performance in Chinese manufacturing enterprises at this stage, and the overall level of contribution is low, especially in terms of innovation intensity, indicating that the absorption and transformation capacity of enterprise innovation resources is insufficient, and the actual effect of enterprise innovation activities is not satisfactory, and innovation has not yet become the first driving force for the development of manufacturing enterprises. Second, at this stage, there is an obvious downward pressure on the positive effect of performance improvement on the scale of enterprise innovation in Chinese manufacturing enterprises, and even a negative effect on the innovation intensity, and the contribution is generally low, indicating that there is a lack of endogenous innovation dynamics in manufacturing enterprises. Third, the heterogeneity analysis confirms that these phenomena are more prominent in large enterprises and state-owned enterprises, while SMEs have relatively stronger endogenous innovation dynamics and can rely on fundamental innovation behaviors and the institutional dividend of the state "supporting MSMEs to become an important source of innovation", and have the ability and motivation to engage in basic research and original research from 0 to 1, and have the potential to become an important source of innovation.Therefore, this paper argued that for Chinese manufacturing enterprises at the present stage, due to the insufficient absorption and transformation capacity of enterprise innovation resources, low endogenous innovation dynamics, enterprises have not yet broken through the "innovation-driven development dilemma". There is much room for growth in the intensity of enterprise innovation investment and the participation of different innovation behaviors, and the potential economic effects of enterprise innovation activities are yet to be released. The policy implications of this paper are as follows: first, strengthening the absorption capacity of manufacturing enterprises to innovation resources, improving the utilization rate of innovation resources and alleviating the efficiency loss are the core issues to stimulate the potential economic effect of enterprise innovation and get out of the “innovation-driven development dilemma”. Second, lack of endogenous innovation dynamics and the "strategic slackness" attitude of large enterprises and state-owned enterprises are important obstacles for Chinese manufacturing enterprises to get out of such dilemma at this stage. Third, the innovation attitude of SMEs is “active and practical”, and their endogenous innovation dynamics are the important grasp for manufacturing enterprises to get out of the dilemma at this stage.
关键词
创新活动 /
长期效应 /
贡献度 /
内源性创新动力
Key words
innovative activity /
long-term effect /
contribution /
endogenous innovation dynamics
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参考文献
[1]蒋敏,陈昭锋.我国企业自主创新的研发资源集聚模式[J].生产力研究,2009(03):147-148+162.DOI:10.19374/j.cnki.14-1145/f.2009.03.054.
[2]李静,彭飞,毛德凤.研发投入对企业全要素生产率的溢出效应——基于中国工业企业微观数据的实证分析[J].经济评论,2013(03):77-86.DOI:10.19361/j.er.2013.03.008.
[3]孙晓华,王昀.R&D投资与企业生产率——基于中国工业企业微观数据的PSM分析[J].科研管理,2014,35(11):92-99.DOI:10.19571/j.cnki.1000-2995.2014.11.012.
[4]盛宇华,路璐.R&D投入与企业绩效的倒N型关系研究[J].南京社会科学,2016(01):32-38.DOI:10.15937/j.cnki.issn1001-8263.2016.01.006.
[5]刘学之,王潇晖,张东,黄敬.企业R&D投入与企业绩效关联度分析——基于中美上市工业企业的实证研究[J].工业技术经济,2017,36(11):147-154.
[6]韩先锋,董明放.研发投入对企业绩效影响的门槛效应[J].北京理工大学学报(社会科学版),2018,20(02):95-101+116.DOI:10.15918/j.jbitss1009-3370.2018.1185.
[7]Nanda, R., Nicholas, T. Did Bank Distress Stifle Innovation During the Great Depression?[J]. Social Science Electronic Publishing, 2014, 114(2):273-292.
[8]Balsmeier, B. et al. Independent Boards and Innovation[J]. Journal of Financial Economics, 2017,123(3): 536-557.
[9]Ovtchinnikov, A.V. et al. Political Activism and Firm Innovation[J]. Journal of Financial and Quantitative Analysis, 2019, 55(3):1-59.
[10]Islam, E. et al. Inventor CEOs[J]. Journal of Financial Economics, 2020, 135(2):505-527.
[11]余芬,樊霞.高管认知、行业管制与企业创新持续性[J/OL].科研管理:1-11[2022-03-22].http://kns.cnki.net/kcms/detail/11.1567.G3.20211224.1431.002.html
[12]周黎安,罗凯.企业规模与创新:来自中国省级水平的经验证据[J].经济学(季刊),2005(02):623-638.
[13]池仁勇,於珺,阮鸿鹏.企业规模、研发投入对创新绩效的影响研究——基于信用环境与知识存量视角[J].华东经济管理,2020,34(09):43-54.
[14]Mulherin J H, Boone A L. 2000. Comparing acquisitions and divestitures[J]. Journal of Corporate Finance,6(2):117-139.
[15]卢现祥,滕宇汯.中国制造业转型升级中的路径依赖问题研究[J].福建论坛(人文社会科学版),2021(07):31-46.
[16]March, J.G. Exploration and exploitation in organizational learning[J]. Organization Science, 1991, 2(1): 71-87.
[17]Benner, M.J., Tushman, M.L. Exploitation, exploration, and process management:The productivity dilemma revisited[J]. Academy of Management Review, 2003, 28(2):238-256.
[18]Jansen, J.J.P. et al. Exploratory Innovation, Exploitative Innovation, and Performance: Effects of Organizational Antecedents and Environmental Moderators[J]. Management Science, 2006, 52(11): 1661-1674.
[19]李忆,司有和.探索式创新、利用式创新与绩效:战略和环境的影响[J].南开管理评论,2008(05):4-12.
[20]崔维军,孙成,傅宇,岑珊.政策不确定性与企业双元创新行为选择:“激流勇进”还是“循序渐进”[J].科学学与科学技术管理,2019,40(11):68-81.
[21]Abernathy, W.J., Utterback, J.M. Patterns of Industrial Innovation[J]. Technology Review, 1978, 80(7): 40-47.
[22]Dosi, G. Technological paradigms and technological trajectories: A suggested interpretation of the determinants and directions of technical change[J]. Research Policy, 1982, 11(3): 147-162.
[23]Christensen, C.M. et al. What is Disruptive Innovation?[J]. Harvard Business Review, 2015, 93(12):44-53.
[24]黎文靖,郑曼妮.实质性创新还是策略性创新?——宏观产业政策对微观企业创新的影响[J].经济研究,2016,51(04):60-73.
[25]Jones C. R&D-based models of economic growth[J]. Journal of Political Economy, 1995, 103(4): 759-784.
[26]严成樑,龚六堂.R&D规模、R&D结构与经济增长[J].南开经济研究,2013(02):3-19.DOI:10.14116/j.nkes.2013.02.003.
[27]Holtz-Eakin D, Newey W, Rosen H S. Estimating vector auto-regressions with panel data[J].Econometrica, 1988, 56(6): 1371-1395.
[28]Love I, Zicchino L. Financial Development and Dynamic Investment Behavior: Evidence from Panel VAR[J].The Quarterly Review of Economics and Finance,2006, 46(2): 190-210.
[29]Levinsohn J, Petrin A. Estimating Production Functions Using Inputs to Control for Unobservable[J].Review of Economic Studies, 2003, 70(2): 317-341.
[30]邹国平,刘洪德,王广益.我国国有企业规模与研发强度相关性研究[J].管理评论,2015,27(12):171-179.DOI:10.14120/j.cnki.cn11-5057/f.2015.12.017.
[31]耿晔强,白力芳.人力资本结构高级化、研发强度与制造业全球价值链升级[J].世界经济研究,2019(08):88-102+136.DOI:10.13516/j.cnki.wes.20190809.003.
[32]梅冰菁,罗剑朝.财政补贴、研发投入与企业创新绩效——制度差异下有调节的中介效应模型检验[J].经济经纬,2020,37(01):167-176.DOI:10.15931/j.cnki.1006-1096.20191118.009.
[33]邓学芬,黄功勋,张学英,周继春.企业人力资本与企业绩效关系的实证研究——以高新技术企业为例[J].宏观经济研究,2012(01):73-79.DOI:10.16304/j.cnki.11-3952/f.2012.01.005.
[34]刘啟仁,赵灿.税收政策激励与企业人力资本升级[J].经济研究,2020,55(04):70-85.
基金
国家社会科学基金重大项目:“新发展格局下中国经济韧性的形成机理、动态评价与政策协同研究”(21&ZD072,2021.12—2026.12)。