摘要
中小企业是培育高新技术产业的重要力量,是增强我国经济韧性的关键保障。探究影响专精特新中小企业高质量发展的潜在机制有助于优化资源配置、提升企业竞争力和推动国家经济高质量发展。以国家级专精特新上市企业为研究样本,量化企业技术复杂度及知识整合能力特征,构建指标体系测度专精特新中小企业发展质量,采用计量回归模型探索技术复杂度对企业高质量发展的影响机制,以及知识整合能力在技术复杂度与企业发展质量之间的调节作用。结果表明:①技术复杂度与专精特新中小企业高质量发展之间呈倒U型关系;②企业知识整合深度、宽度对技术复杂度与企业发展质量的倒U型关系具有正向调节作用;③技术复杂度对企业发展质量的影响具有多维性,取决于企业自身特征、所属行业及所在地区特征差异。结论可为制定科学有效的政策措施、优化企业技术发展路径和提升企业知识整合能力提供参考。
Small and medium-sized enterprises(SMEs),as a vital engine for driving high-tech industries,play an essential role in bolstering China's economic resilience and promoting high-quality economic development.“Specialized,refined,unique,and innovative”(SRUI)SMEs exhibit strong innovation capabilities and distinctive competitive advantages.Understanding the mechanisms that underpin the high-quality development of SRUI SMEs is crucial for devising scientifically grounded policy measures,optimizing resource allocation,and enhancing firms'competitiveness.However,theoretical research on SRUI SME development remains underdeveloped compared to practical advancements,with limited quantitative studies and a predominance of qualitative analyses.Notably,the existing literature has primarily concentrated on external environmental factors that facilitate the high-quality development of SRUI SMEs,while relatively little attention has been paid to the role of firms'internal technological capabilities.Technological capability,defined as the accumulation of internal knowledge and innovation practices within a firm,serves as a repository of technological expertise that is fundamental to the development and enhancement of products and processes.It constitutes a critical driver for sustaining competitive advantages,improving performance,and advancing high-quality development.Technological complexity and technological knowledge integration capability represent two core dimensions of firms'technological capabilities.Drawing on endogenous growth theory,economic complexity theory,path dependency theory,and innovation diffusion theory,this paper proposes an inverted U-shaped relationship between technological complexity and the quality of SRUI SME development.Furthermore,grounded in knowledge-based theory,this study incorporates firms'knowledge integration capabilities into the analytical framework to examine how organizational capabilities influence and reshape the relationship between technological complexity and SRUI development quality.The sample selection encompasses those featured in the five consecutive annual lists from 2019 to 2023,resulting in a robust sample of 1738 nationally acclaimed SRUI-listed companies for the analysis.The quality of enterprise development is assessed across four key dimensions:specialization,refinement,differentiation,and innovation.Relevant data and control variables are drawn from the CSMAR and CNRDS databases.Technological complexity and knowledge integration capability are quantified using firms'IPC classification codes,with data sourced from the National Intellectual Property Administration(NIPA)and the PatSnap database.The results indicate the following:(1)There is an inverted U-shaped relationship between technological complexity and the high-quality development of SRUI SMEs.When a firm's technological complexity remains below the threshold of 218.766,its increase significantly enhances development quality.However,surpassing this threshold may lead to capability traps,path dependence,and barriers to technology diffusion,which inhibit development quality.(2)Both the depth and breadth of firms'knowledge integration positively moderate the relationship between technological complexity and high-quality development,facilitating the achievement and amplification of the peak benefits of technological complexity.Compared to knowledge integration depth,integration breadth enables the peak positive effect of technological complexity on development quality to be achieved more quickly while significantly enhancing the maximum level of development quality.(3)The impact of technological complexity on development quality is multidimensional,exhibiting significant heterogeneity depending on firm-specific characteristics,industry attributes,and regional factors.Building on the above findings,this study advocates for firms to optimize the allocation of technological resources,strategically enhance technological complexity,and mitigate the risks of capability traps and resource misallocation stemming from excessive complexity.Firms should systematically advance their knowledge integration capabilities.By efficiently utilizing their technological resources and established organizational practices,they can maximize the untapped value of their current technological assets.Additionally,firms are encouraged to expedite the development of digital infrastructure to strengthen their capacity for managing,organizing,and reutilizing intricate technological combinations.Moreover,governments should formulate nuanced and targeted support policies that align with firms'industry-specific attributes and regional contexts,fostering balanced and sustainable high-quality development on a national scale.This study offers critical theoretical insights into the boundary conditions for innovation and economic growth within economic systems,while also providing actionable guidance for firms in the formulation of innovation management strategies and technological policy frameworks.
作者
刘蕾蕾
巴志超
孟凯
张玉洁
Liu Leilei;Ba Zhichao;Meng kai;ZhangYujie(Research Institute for Data Management Innovation,Nanjing University,Suzhou 215163,China;School of Information Management,Nanjing University,Nanjing 210023,China)
出处
《科技进步与对策》
北大核心
2026年第2期71-83,共13页
Science & Technology Progress and Policy
基金
国家自然科学基金面上项目(72374098)
江苏省社会科学基金青年项目(22TQC001)。
