In the current global economic landscape, there has been a shift in the factors that drive enterprise development. Now, technology and innovation are becoming the core elements that drive enterprise competitiveness and sustainable development. SRUI(specialized,refined ,unique and innovative) enterprises focusing on innovation have injected new vitality into national innovation through their flexible market advantages, relentless pursuit of efficiency, and broad scope in terms of number and distribution. However, in the face of increasingly fierce international and regional trade competition, enterprises can gain competitive advantages in the highly competitive market environment only by focusing on a certain market segment. At the same time, SMEs (small and medium-sized enterprises) are faced with difficulties, such as high investment and low return, as well as limited resources. In order to disperse risks, enterprises often adopt diversified development strategies. This makes it difficult for SRUI enterprises to maintain their core competitive advantages in a particular segment. Since introducing the "SRUI" concept, regions have enacted policies to foster SME evolution into SRUI entities, aiming to boost quality growth. The effectiveness of these policies in enhancing SRUI innovation and transformation has become a key concern.
While existing research focuses on the key role of policy support in enhancing the innovation capability of SRUI enterprises, the specific mechanism by which policies can lead firms to focus on SRUI strategies and thus enhance innovation performance remains to be verified. At the same time, the SRUI enterprises’ policy environment is multi-level, and considering only a single policy does not fully capture their overall impact on innovation performance. Therefore, this study investigates the impact of different dimensions of SRUI policies (policy effectiveness, policy quantity, and complexity of policy combinations) on innovation performance, and reveals the mediating role of enterprises’ SRUI strategies. The heterogeneity tests are conducted based on regional distribution and enterprise type. There are 541 SRUI “little giant” enterprises in China selected as the research sample, covering the period from 2013 to 2023. The list of SRUI “little giants” enterprises comes from the WIND database, the enterprise patent data is sourced from the Patsnap database, the data related to policy measures is sourced from the PKULaw database, and the control variables are sourced from the CSMAR database. Considering the lag effect of policy measures, the policy-related variables are measured using a three-year rolling window period.
It is concluded that the policy effectiveness, policy quantity, and complexity of policy combinations have a positive impact on enterprises’ innovation performance; SRUI strategy plays a significant mediating role between SRUI policy and innovation performance. Further analysis shows that the promotion effect of SRUI policy is more significant in the eastern region, as well as among non-state-owned enterprises.
Drawing from the above findings,this study proposes some managerial insights. (1) The government should fully leverage SRUI policies to incentivize enterprise innovation and foster a conducive policy environment. It needs to tailor detailed, targeted measures to SRUI enterprises, while ensuring policy coherence and synergy to minimize overlap and conflict, thereby maximizing the policy’s impact. (2) Taking into account the type of property rights of enterprises and regional characteristics, the government should accurately grasp the local resource structure, industrial base and enterprise characteristics, and then formulate diversified support policies. (3) The government must rigorously oversee the review process and performance evaluation to guarantee the efficient execution of the policy, thereby facilitating the implementation of the SRUI enterprises’ strategy.
The research contributions of this paper are mainly reflected in three aspects. Firstly, it offers a more comprehensive and nuanced view of policy effects from three distinct dimensions, thereby enriching the research framework that examines the interplay between macro-policies and micro-enterprise innovation behaviors. Secondly, the study introduces the SRUI strategy, elucidating the specific mechanisms through which policies influence innovation performance and enhancing the analytical framework for understanding SRUI policy impacts. Lastly, it reveals that enterprises of different types or regions exhibit varied responses to policy initiatives. Consequently, when devising policies, the government should consider the specific property rights and geographical traits of businesses to support their development more effectively and in a targeted manner.
Wang Haihua
,
Sun Qianru
,
Li Shujie
,
Liu Li
. The Mechanism of Enterprise Innovation Performance Driven by SRUI Policies[J]. Science & Technology Progress and Policy, 2025
, 42(18)
: 118
-127
.
DOI: 10.6049/kjjbydc.2024050508
[1] 张璠, 王竹泉, 于小悦.政府扶持与民营中小企业“专精特新”转型——来自省级政策文本量化的经验证据[J].财经科学,2022,66(1): 116-132.
[2] 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,2018,36(9): 98-116.
[3] ARTS S, CASSIMAN B, HOU J N.Position and differentiation of firms in technology space[J].Management Science,2023, 69 (12): 7151-7182.
[4] 丁永健, 吴小萌.“小巨人”企业培育有助于提升制造业中小企业创新活力吗——来自“专精特新”政策的证据[J].科技进步与对策,2023, 40(12): 108-116.
[5] 张米尔, 任腾飞, 黄思婷.专精特新“小巨人”遴选培育政策的专利效应研究[J].中国软科学,2023,38(5): 33-43,53.
[6] 金成晓, 于家齐.“专精特新”政策是否提高了中小企业的贷款可得性——基于精确断点回归的分析[J].金融论坛,2023, 28 (6): 3-14.
[7] WANG H M, WANG S Y, ZHENG Y.China green credit policy and corporate green technology innovation: from the perspective of performance gap[J].Environmental Science and Pollution Research,2023, 30 (9): 24179-24191.
[8] SCHOT J, STEINMUELLER W E.Three frames for innovation policy: R&D, systems of innovation and transformative change[J].Research Policy,2018, 47 (9): 1554-1567.
[9] EDMONDSON D L, KERN F, ROGGE K S.The co-evolution of policy mixes and socio-technical systems: towards a conceptual framework of policy mix feedback in sustainability transitions[J].Research Policy,2019, 48 (10): 103555.
[10] OBRADOVIC T, VLACIC B, DABIC M.Open innovation in the manufacturing industry: a review and research agenda[J].Technovation,2021,102(4): 102221.
[11] 谢菁.我国“专精特新”企业支持政策的现状,不足与优化建议[J].科技管理研究,2023, 43 (3): 44-52.
[12] 孙佳, 吴小萌.专精特新政策对企业绩效的微观影响机理——基于资金支持和创新激励的双重作用[J].中国科技论坛,2024,40(2): 71-81.
[13] XIANG D, ZHAO T, ZHANG N.Does public subsidy promote sustainable innovation? the case of Chinese high-tech SMEs[J].Environmental Science and Pollution Research,2021, 28 (38): 53493-53506.
[14] 王伟楠, 王凯, 严子淳.区域高质量发展对“专精特新”中小企业创新绩效的影响机制研究[J].科研管理,2023, 44 (2): 32-44.
[15] 湛泳, 马从文.“专精特新”企业培育能否缓解企业创新“低端锁定”困境[J].科技进步与对策,2025,42(3):130-140.
[16] BORRAS S, EDQUIST C.The choice of innovation policy instruments[J].Technological Forecasting and Social Change,2013, 80 (8): 1513-1522.
[17] LIMBERG J, KNILL C, STEINEBACH Y.Condemned to complexity? growing state activity and complex policy systems[J].Governance,2023, 36 (2): 575-608.
[18] 彭纪生, 仲为国, 孙文祥.政策测量、政策协同演变与经济绩效:基于创新政策的实证研究[J].管理世界,2008,24(9): 25-36.
[19] YU F, DU H, LI X, et al.Enterprise digitalization, business strategy and subsidy allocation: evidence of the signaling effect[J].Technological Forecasting and Social Change,2023, 190(5): 122472.
[20] DUGAN A, MAYER J, THALLER A, et al.Developing policy packages for low-carbon passenger transport: a mixed methods analysis of trade-offs and synergies[J].Ecological Economics,2022, 193(3): 107304.
[21] 马春爱, 沈志慧.“专精特新”企业不同技术战略下的创新绩效研究[J].会计之友,2024,42(7): 23-31.
[22] TUMELERO C, SBRAGIA R, EVANS S.Cooperation in R&D and eco-innovations: the role in companies' socioeconomic performance[J].Journal of Cleaner Production,2019, 207(10): 1138-1149.
[23] 曾宪聚, 曾凯, 任慧,等.专精特新企业成长研究:综述与展望[J].外国经济与管理,2024, 46 (1): 62-76.
[24] 罗福凯, 狄盈馨, 李启佳.“专精特新”战略、家族涉入与技术创新[J].科技进步与对策,2023, 40(16): 130-141.
[25] LEE D S, LEMIEUX T.Regression discontinuity designs in economics[J].Journal of Economic Literature,2010, 48(2): 281-355.
[26] IMBENS G W, LEMIEUX T.Regression discontinuity designs: a guide to practice[J].Journal of Econometrics,2008, 142(2): 615-635.