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企业数字化转型结构对创新策略的影响研究
Research on the impact of enterprise digital transformation structure on innovation strategies
数字经济和实体经济深度融合不仅表现为企业数字化转型的程度深化,还体现在结构优化,如何以企业高质量转型推动经济高质量发展的问题在数字经济时代被赋予新意义。本文利用沪深A股上市公司2007—2021年数据,探究企业数字化转型结构对创新策略的影响。研究发现:(1)企业数字化转型结构向技术端优化显著促进创新策略倾向实质性创新,并且自主创新能力提升、人力资本再升级和经营成本降低是重要的作用渠道。(2)当企业所属行业创新竞争和所在区域劳动力供给质量较低以及获得创新激励政策支持较少时,数字化转型结构优化对创新策略的促进作用更明显。(3)细分数字技术结构对创新策略的影响兼具共性和特性,数字化转型结构优化促使创新领域集中和创新溢出强化。本文从结构的视角丰富了企业数字化转型研究,为如何缓解创新“重数量、轻质量”问题提供解决思路,对企业选择数字化转型路径和政府设计数字经济政策具有启示。
The deep integration of digital economy and real economy is not only reflected in the deepening of enterprise digital transformation, but also in its structural optimization. How to promote high-quality economic development with high-quality transformation has been given new significance in digital economy. This paper used the data of Shanghai and Shenzhen A-share listed companies from 2007 to 2021 to explore the impact of enterprise digital transformation structure on innovation strategy. We found that: (1) the enterprise digital structural optimization significantly promotes the innovation strategy to substantive innovation, and independent innovation ability enhancement, human capital re-upgrading, operating cost reduction are important channels; (2) when the degree of innovation competition in the industry, the quality of labor supply in the region and the support from innovation incentive policies is lower, the digital structural optimization has a more obvious promoting effect; and (3) the impact of subdivided digital technology structures on innovation strategy has both commonalities and characteristics, and the digital structural optimization promotes the concentration of innovation fields and the strengthening of innovation spillovers. From the perspective of structure, this paper has enriched the research on enterprise digital transformation, and it will provide solutions for how to alleviate the problem of "valuing quantity over quality" in innovation, thus having implications for enterprises to choose digital transformation paths and governments to design digital economic policies.
digital transformation / innovation strategy / substantive innovation / strategic innovation
| [1] |
吴非, 胡慧芷, 林慧妍, 等. 企业数字化转型与资本市场表现:来自股票流动性的经验证据[J]. 管理世界, 2021, 37(7): 130-144+10.
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
戴翔, 马皓巍. 数字化转型、出口增长与低加成率陷阱[J]. 中国工业经济, 2023(5): 61-79.
|
| [6] |
龙小宁, 王俊. 中国专利激增的动因及其质量效应[J]. 世界经济, 2015, 38(6): 115-142.
|
| [7] |
申宇, 黄昊, 赵玲. 地方政府“创新崇拜”与企业专利泡沫[J]. 科研管理, 2018, 39(4): 83-91.
|
| [8] |
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(4): 60-73.
|
| [9] |
郭玥. 政府创新补助的信号传递机制与企业创新[J]. 中国工业经济, 2018(9): 98-116.
|
| [10] |
谭小芬, 钱佳琪. 资本市场压力与企业策略性专利行为:卖空机制的视角[J]. 中国工业经济, 2020(5): 156-173.
|
| [11] |
冯玲, 袁帆, 刘小逸. 工业机器人与企业创新:来自中国制造业企业的证据[J]. 经济学(季刊), 2023, 23(4): 1264-1282.
|
| [12] |
|
| [13] |
诸竹君, 袁逸铭, 焦嘉嘉. 工业自动化与制造业创新行为[J]. 中国工业经济, 2022(7): 84-102.
|
| [14] |
|
| [15] |
刘海兵, 刘洋, 黄天蔚. 数字技术驱动高端颠覆性创新的过程机理:探索性案例研究[J]. 管理世界, 2023, 39(7): 63-81+99+82.
|
| [16] |
We examine the concerns that new technologies will render labor redundant in a framework in which tasks previously performed by labor can be automated and new versions of existing tasks, in which labor has a comparative advantage, can be created. In a static version where capital is fixed and technology is exogenous, automation reduces employment and the labor share, and may even reduce wages, while the creation of new tasks has the opposite effects. Our full model endogenizes capital accumulation and the direction of research toward automation and the creation of new tasks. If the long-run rental rate of capital relative to the wage is sufficiently low, the long-run equilibrium involves automation of all tasks. Otherwise, there exists a stable balanced growth path in which the two types of innovations go hand-in-hand. Stability is a consequence of the fact that automation reduces the cost of producing using labor, and thus discourages further automation and encourages the creation of new tasks. In an extension with heterogeneous skills, we show that inequality increases during transitions driven both by faster automation and the introduction of new tasks, and characterize the conditions under which inequality stabilizes in the long run. (JEL D63, E22, E23, E24, J24, O33, O41)
|
| [17] |
|
| [18] |
唐要家, 王钰, 唐春晖. 数字经济、市场结构与创新绩效[J]. 中国工业经济, 2022(10): 62-80.
|
| [19] |
|
| [20] |
|
| [21] |
尹志锋. 专利诉讼经历与企业技术创新战略[J]. 世界经济, 2018, 41(10): 170-192.
|
| [22] |
沈坤荣, 林剑威, 傅元海. 网络基础设施建设、信息可得性与企业创新边界[J]. 中国工业经济, 2023(1): 57-75.
|
| [23] |
马文甲, 张弘正, 陈劲. 企业数字化转型对绿色创新模式选择的影响[J]. 科研管理, 2023, 44(12): 61-70.
|
| [24] |
江艇. 因果推断经验研究中的中介效应与调节效应[J]. 中国工业经济, 2022 (5): 100-120.
|
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