异质性企业协同集聚与地区新质生产力发展研究
Research on Heterogeneous Enterprise Synergistic Agglomeration and Regional New Productivity Development
DOI: 10.12677/mm.2026.163064, PDF,    科研立项经费支持
作者: 陈许诺, 刘凤琴:扬州大学商学院,江苏 扬州;林 霆:扬州大学电气与能源动力工程学院,江苏 扬州
关键词: 异质性企业协同集聚新质生产力要素配置技术溢出产业升级Heterogeneous Enterprise Collaborative Agglomeration New Quality Productivity Factor Allocation Technology Spillover Industrial Upgrading
摘要: 本文从要素配置与创新协同视角出发,构建异质性企业协同集聚影响地区新质生产力发展的理论框架,并运用2000~2019年中国270余个地级市及对应区域上市公司数据进行实证检验。研究发现,异质性企业协同集聚对地区新质生产力具有显著促进作用,这一结论在更换计量模型、子样本检验、调整变量测度方法等稳健性检验及动态面板GMM内生性处理中均稳健有效。异质性分析表明,独角兽企业集聚的赋能效应最为突出,瞪羚企业与雏鹰企业依次形成梯度支撑,三类企业的年度识别均基于当年财务指标与发展特征动态筛选,从源头上规避了幸存者偏差。机制分析显示,异质性企业协同集聚主要通过数据要素利用水平提升、机器人安装密度提高、专利创新能力增强三条路径传导,为新质生产力发展注入持续动力。本文研究不仅为各地通过优化企业集聚生态培育新质生产力提供实践方案,同时也为政府部门推动大中小企业协同融通、促进区域创新协调发展提供施策参考。
Abstract: This paper constructs a theoretical framework for the impact of heterogeneous enterprise collaborative agglomeration on regional new productivity development from factor allocation and innovation synergy perspectives, and empirically tests it using data from over 270 Chinese prefecture-level cities and regional listed companies from 2000 to 2019. The study finds that heterogeneous enterprise collaborative agglomeration significantly promotes regional new productivity, and this conclusion is robust in various tests and endogeneity treatment. Heterogeneity analysis shows that unicorn enterprise agglomeration has the most prominent empowerment effect, followed by gazelle and fledgling enterprises in a gradient. The annual identification of these three types of enterprises is dynamically screened based on current year financial indicators and development characteristics to avoid survivor bias. Mechanism analysis reveals that heterogeneous enterprise collaborative agglomeration promotes new productivity through three pathways: improving data factor utilization, increasing robot installation density, and enhancing patent innovation capabilities. This study provides practical solutions for regions to cultivate new productivity by optimizing enterprise agglomeration ecosystems and offers policy references for government departments to promote enterprise collaboration and regional innovation development.
文章引用:陈许诺, 林霆, 刘凤琴. 异质性企业协同集聚与地区新质生产力发展研究[J]. 现代管理, 2026, 16(3): 67-80. https://doi.org/10.12677/mm.2026.163064

参考文献

[1] 罗章松, 王丹. 新质生产力研究的现状与展望[J]. 深圳社会科学, 2025, 8(5): 90-103.
[2] 席子钧. 中国新质生产力发展现状、挑战与推进路径[J]. 投资与合作, 2025(9): 164-166.
[3] 罗嘉雯, 邓晴方, 刘紫萍. 产业协同集聚与企业创新: 影响机制与异质性研究[J]. 工信财经科技, 2024(4): 76-95.
[4] 康健, 曹执令, 谢诗蕾. 数据要素赋能专精特新企业新质生产力涌现机制及其适配组态研究[J]. 科技进步与对策, 2025, 42(8): 13-23.
[5] 王斯琪. 产业协同集聚对产业结构升级的影响研究[D]: [硕士学位论文]. 乌鲁木齐: 新疆财经大学, 2022.
[6] Baldwin, R. (2019) The Globotics Upheaval: Globalization, Robotics, and the Future of Work. Oxford University Press.
[7] Acemoglu, D., Akcigit, U. and Kerr, W.R. (2019) Networks and the Macroeconomy: An Empirical Exploration. NBER Macroeconomics Annual, 33, 276-335.
[8] 徐晨兴. 技术水平、制造业生产效率与空间分布[D]: [硕士学位论文]. 上海: 上海财经大学, 2021.
[9] Duranton, G. and Puga, D. (2020) The Economics of Urban Density. Journal of Economic Perspectives, 34, 3-26. [Google Scholar] [CrossRef
[10] Porter, M.E. and Heppelmann, J.E. (2014) How Smart, Connected Products Are Transforming Competition. Harvard Business Review, 92, 64-88.
[11] 陈金勇, 汪小池, 长昊东, 等. “专精特新”认定政策与中小企业技术创新[J]. 科研管理, 2024, 45(3): 20-30.
[12] 韩文龙, 张瑞生, 赵峰. 新质生产力水平测算与中国经济增长新动能[J]. 数量经济技术经济研究, 2024, 41(6): 5-25.
[13] 卢江, 郭子昂, 王煜萍. 新质生产力发展水平、区域差异与提升路径[J]. 重庆大学学报(社会科学版), 2024, 30(3): 1-17.
[14] 张秀娥, 王卫, 于泳波. 数智化转型对企业新质生产力的影响研究[J]. 科学学研究, 2025, 43(5): 943-954.
[15] 周清明, 李怡凡. “小巨人”企业赋能新质生产力发展的驱动路径研究——基于TOE框架的组态分析[J]. 湖北经济学院学报(人文社会科学版), 2025, 22(7): 11-16.