Journal of Systems & Management ›› 2023, Vol. 32 ›› Issue (5): 1009-1021.DOI: 10.3969/j.issn.1005-2542.2023.05.011

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Efficiency of Industrial Enterprise Innovation Resource Allocation Based on Dynamic StoNED Method

SUN Long,LEI Lianghai   

  1. Business School,University of Shanghai for Science and Technology,Shanghai 200093,China
  • Received:2021-11-29 Revised:2022-02-20 Online:2023-09-28 Published:2023-09-28

基于动态StoNED方法的工业企业创新资源配置效率研究

孙龙,雷良海   

  1. 上海理工大学管理学院,上海 200093
  • 作者简介:孙龙(1989-),男,博士生。研究方向为财政与金融管理、科技创新。
  • 基金资助:

    上海市软科学研究计划项目(18692103000

Abstract:

Based on the panel data of industrial enterprises above designated size in 30 provinces and autonomous regions of China from 2011 to 2020, from the perspective of input-output, according to the theory of innovation value chain, the technological innovation activities of enterprises are divided into two stages, the first being research and development of technological achievements, and the second being transformation of technological achievements. A two-stage StoNED model is constructed to measure and study the allocation efficiency of innovation resources, and the Tobit model is used to analyze the two stages. The regression analysis is used to analyze the influencing factors of the segment efficiency. The results show that the efficiency of innovation resource allocation in both stages of industrial enterprises above designated size in China is in an “inverted U-shape”. The efficiency differs significantly between regions and is arranged from high to low in an “east-middle-west” order. The regional economic development level and scientific research strength positively affect the efficiency of the research and development stage, while the enterprise asset scale and the degree of enterprise attention positively affect the efficiency of transformation stage, and the government support has no significant effect on the efficiency of both stages. The findings of this paper provide new evidence for the formulation and implementation of policies such as innovation-driven development strategy from regional industrial enterprises above designated size.

Key words: innovation resource allocation efficiency, influencing factors, StoNED model, Tobit model

摘要:

基于2011~2020年中国30个省市自治区规模以上工业企业面板数据,从投入产出角度,依据创新价值链理论,将企业技术创新活动分为技术成果研发和技术成果转化两阶段。构建两阶段StoNED模型对创新资源配置效率进行测算和研究,并利用Tobit模型分别对两阶段效率值的影响因素进行回归分析。结果表明:中国规模以上工业企业两阶段的创新资源配置效率皆呈现“倒U型”态势;区域间效率差异明显,呈“东-中-西”由高到低排列;地区经济发展水平和科研实力正向影响技术成果研发阶段效率,企业资产规模和企业重视程度正向影响技术成果转化阶段效率,政府支持力度对两阶段效率皆无明显作用。研究结论为创新驱动发展战略等政策制定和实施提供了来自区域规模以上工业企业的新证据。

关键词: 创新资源配置效率, 影响因素, StoNED模型, Tobit模型

CLC Number: