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数据要素赋能专精特新企业高质量发展机制研究
A study on the high-quality development mechanism of SRDI enterprises empowered by data elements
数据要素作为推动我国数字经济发展的核心引擎,提高数据要素应用水平是促进专精特新企业高质量发展的重要途径。本文以2014—2022年中国专精特新上市企业为研究样本,借助爬虫技术和机器学习等算法,创新性地刻画了数据要素全生命周期管理特征词图谱,采用固定效应模型实证检验数据要素对专精特新企业高质量发展的因果效应,挖掘数据要素如何通过“提质增智”促进专精特新企业高质量发展的内在机制。研究发现:(1)数据要素显著提升专精特新企业高质量发展水平,其促进作用在非国有企业、竞争激烈的企业以及劳动密集型和技术密集型企业中更加显著;(2)数据要素通过“提质”推动专精特新企业高质量发展,新质生产力在此机制中发挥正向中介效应;(3)数据要素通过“增智”促进专精特新企业高质量发展,数字技术创新在此机制中发挥正向中介效应。基于此,提出如下管理启示:全面激发数据要素潜能,巩固专精特新企业细分市场竞争优势;以数实融合助力新质生产力发展,引领专精特新企业结构深度变革;构筑自立自强的数字技术创新体系,助力专精特新企业抢占未来发展制高点。
Data elements, as a core engine driving the development of China's digital economy, play a crucial role in enhancing their application level, which serves as an important pathway for promoting the high-quality development of specialized, refined, distinctive and innovative (SRDI) enterprises. This study used the Chinese SRDI-listed enterprises from 2014 to 2022 as the research sample, leveraged the web crawler technology and machine learning algorithms to innovatively depict the feature word map for the whole lifecycle management of data elements, employed a fixed effects model to empirically test the causal effects of data elements on the high-quality development of SRDI enterprises, and explored how data elements promote high-quality development through "quality enhancement and intelligence improvement". The findings are as follows: (1) Data elements significantly enhance the high-quality development level of SRDI enterprises, with this promoting effect being particularly prominent in non-state-owned enterprises, those in highly competitive markets, as well as labour-intensive and technology-intensive enterprises; (2) Data elements promote the high-quality development of SRDI enterprises through "quality enhancement", with new quality productive forces playing a positive mediating role in this mechanism; (3) Data elements promote the high-quality development of SRDI enterprises through "intelligence improvement", with digital technology innovation playing a positive mediating role in this mechanism. In view of this, the following managerial implications are proposed, including comprehensively unleashing the potential of data elements to consolidate the competitive advantage of SRDI enterprises in niche markets; promoting digital-real economy integration to support the development of new quality productive forces, leading deep structural transformations in SRDI enterprises; and building a self-reliant and self-strengthening digital technology innovation system, empowering SRDI enterprises to occupy strategic high grounds in future development.
数据要素 / 专精特新企业 / 高质量发展 / 新质生产力 / 数字技术创新
data element / SRDI enterprise / high-quality development / new quality productive force / digital technology innovation
| [1] |
董志勇, 李成明. “专精特新”中小企业高质量发展态势与路径选择[J]. 改革, 2021(10):1-11.
|
| [2] |
陈丽莉, 张若琪, 戎珂. 数据要素赋能企业创新:基于内外部资源视角[J]. 管理评论, 2024, 36(12):15-25.
|
| [3] |
刘传明, 陈梁, 魏晓敏. 数据要素集聚对科技创新的影响研究:基于大数据综合试验区的准自然实验[J]. 上海财经大学学报, 2023, 25(5):107-121.
|
| [4] |
郭凯明, 王钰冰, 杭静. 数据要素规模效应、产业结构转型与生产率提升[J]. 中国工业经济, 2024(8):5-23.
|
| [5] |
李晓梅, 张子薇. 数据要素对专精特新企业创新能力的影响[J]. 科技管理研究, 2024, 44(10):134-142.
|
| [6] |
申杰, 昌忠泽. 工业智能化赋能民营中小企业高质量发展:基于“专精特新”视角的研究[J]. 现代经济探讨, 2024(5):52-64.
|
| [7] |
杨向阳, 徐从才. 数据要素与流通企业高质量发展[J]. 商业经济与管理, 2024(3):5-17.
|
| [8] |
王影, 梁祺. 数字并购对“专精特新”中小企业高质量发展的影响[J]. 经济体制改革, 2024(4):99-107.
|
| [9] |
刘艳霞. 数字经济赋能企业高质量发展:基于企业全要素生产率的经验证据[J]. 改革, 2022(9):35-53.
|
| [10] |
徐亚平, 史依铭. 数字经济与实体经济融合赋能“专精特新”企业高质量发展[J]. 经济体制改革, 2024(4):14-22.
|
| [11] |
徐翔, 赵墨非, 李涛, 等. 数据要素与企业创新:基于研发竞争的视角[J]. 经济研究, 2023, 58(2):39-56.
|
| [12] |
桂黄宝, 张志昊, 李文静, 等. 绿色技术创新促进新质生产力形成的机制研究[J]. 华北水利水电大学学报(社会科学版), 2025, 41(1):21-30.
|
| [13] |
梁孝成, 吕康银, 陈思. 数据要素市场化对企业新质生产力水平的影响研究[J]. 科研管理, 2025, 46(2):12-21.
|
| [14] |
任优生, 于津平. 人工智能何以催生专精特新小巨人企业新质生产力?[J]. 现代经济探讨, 2024(11):102-112.
|
| [15] |
蔡继明, 刘媛, 高宏, 等. 数据要素参与价值创造的途径:基于广义价值论的一般均衡分析[J]. 管理世界, 2022, 38(7):108-121.
|
| [16] |
|
| [17] |
黄勃, 李海彤, 刘俊岐, 等. 数字技术创新与中国企业高质量发展:来自企业数字专利的证据[J]. 经济研究, 2023, 58(3):97-115.
|
| [18] |
徐晔, 王志超, 陶长琪. 数据要素市场化建设对企业资源配置效率的影响研究[J]. 科研管理, 2025, 46(9):25-34.
|
| [19] |
王楠, 孟凡凡, 裴童心. 以数字经济为依托推动新质生产力发展的路径研究[J]. 创新科技, 2024, 24(6):1-10.
|
| [20] |
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.
|
| [21] |
孙茜, 贾颖颖, 孙高祚, 等. 数字技术赋能黄河流域创新发展治理研究[J]. 中国科学院院刊, 2024, 39(6):1000-1011.
|
| [22] |
|
| [23] |
马橙, 任曙明, 冉晨阳. 数据要素对制造业企业创新的影响研究[J]. 管理学报, 2024, 21(11):1642-1650.
基于数据价值理论,以2011~2021年中国A股制造业上市企业为样本,从直接效应和组合效应两个方面探讨数据要素对企业创新的影响。研究发现,数据要素能够驱动制造业企业创新。机制分析表明,数据要素通过降低技术不确定性和市场不确定性两个机制来驱动企业创新。数据要素与传统生产要素的组合能够强化创新不确定性的降低效果,进而驱动企业创新。
Based on data valuation theory, this study takes Chinese A-share listed manufacturing firms from 2011 to 2021 as samples to examine the impact of data factor on firm innovation in terms of both direct and combined effects. The results show that data factor drives firm innovation. The mechanism analysis shows that data can enter firms as an independent production factor to reduce technological uncertainty and market uncertainty and thus drive firm innovation. The combination of data factor and traditional production factors can reinforce the reduction effect of innovation uncertainty, which in turn drives firms to innovate.
|
| [24] |
张栋, 胡文龙, 毛新述. 研发背景高管权力与公司创新[J]. 中国工业经济, 2021(4):156-174.
|
| [25] |
黄群慧, 余泳泽, 张松林. 互联网发展与制造业生产率提升:内在机制与中国经验[J]. 中国工业经济, 2019(8):5-23.
|
| [26] |
宋佳, 张金昌, 潘艺. ESG发展对企业新质生产力影响的研究:来自中国A股上市企业的经验证据[J]. 当代经济管理, 2024, 46(6):1-11.
|
| [27] |
周浩, 汤丽荣. 市场竞争能倒逼企业善待员工吗?:来自制造业企业的微观证据[J]. 管理世界, 2015(11):135-144.
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