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中国管理科学 ›› 2021, Vol. 29 ›› Issue (8): 136-147.doi: 10.16381/j.cnki.issn1003-207x.2019.1509

• 论文 • 上一篇    下一篇

我国战略性新兴产业间供应链企业协同创新演化博弈研究

李柏洲1,2, 王雪1,2, 苏屹1,2, 罗小芳3   

  1. 1. 哈尔滨工程大学经济管理学院, 黑龙江 哈尔滨 150001;
    2. 哈尔滨工程大学企业创新研究所, 黑龙江 哈尔滨 150001;
    3. 江苏科技大学经济管理学院, 江苏 镇江 212003
  • 收稿日期:2019-09-29 修回日期:2020-10-10 出版日期:2021-08-20 发布日期:2021-08-13
  • 通讯作者: 王雪(1994-),女(汉族),黑龙江绥化人,哈尔滨工程大学经济管理学院,博士研究生,研究方向:科技管理与创新管理,E-mail:wxue0410@163.com. E-mail:wxue0410@163.com
  • 基金资助:
    国家社会科学基金资助重点项目(19FGLA001);国家自然科学基金资助项目(71601087);教育部人文社会科学基金资助项目(15YJC630088)

Evolutionary Game Research on Collaborative Innovation of Supply Chain Enterprises from Different Strategic Emerging Industries in China

LI Bai-zhou1,2, WANG Xue1,2, SU Yi1,2, LUO Xiao-fang3   

  1. 1. School of Economics and Management, Harbin Engineering University, Harbin 150001, China;
    2. Institute of Enterprise Innovation, Harbin Engineering University, Harbin 150001, China;
    3. School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212003, China
  • Received:2019-09-29 Revised:2020-10-10 Online:2021-08-20 Published:2021-08-13

摘要: 在新兴技术深度交叉融合的新模式下,供应链企业协同创新是加快产业链向高端化延伸的重要途径。本文基于战略性新兴产业的战略性和新兴性,考虑社会效应及市场风险收益因素,构建战略性新兴产业之间供应链企业的演化博弈模型,研究数据库营销成熟度在内的多种因素的影响,通过案例仿真进行验证并分析在市场机制失灵时,政府调控的作用效果。研究结果表明:数据库营销成熟度、协同创新产生的信息流和技术量、技术收益系数和社会效益系数以及损益障碍因子等因素对系统趋于协同创新方向演化具有正向作用;在市场机制失灵时,政府采取成本补贴的激励效果更加高效快速,成果奖励的驱动力更加持久,两种激励手段相结合的方式最优;中等程度的监管力度及低于搭便车收益程度的惩罚并不能保证企业间的公平竞争,高于阈值的惩罚力度才能够有效抑制搭便车收益与前景损益的负向影响,驱动系统向协同创新的方向演化,且惩罚力度越高,系统的收敛速度越快。

关键词: 战略性新兴产业, 协同创新, 演化博弈, 供应链

Abstract: Under the new mode of deep cross-integration of emerging technologies, collaborative innovation of supply chain enterprises is an important way to accelerate the extension of industrial chain to the high-end. To realize the technology chain driven by supply chain and the industrial chain, the collaborative innovation evolution of enterprises in supply chain between strategic emerging industries in China is studied in this paper. Collaborative innovation strategy among supply chain members is a dynamic game process in which dynamic adjustment is made on the basis of strategy selection of the other parties. When the two parties of the game make strategy selection, they are affected by the joint effect of various factors. Especially for enterprises in strategic emerging industries, these factors are targeted. Hence, social effects and market risk-return factors are considered based on the strategic and emerging nature of strategic emerging industries to construct an evolutionary game model of supply chain enterprises from different strategic emerging industries. Evolutionary game theory is used in this paper to study the influence of various factors, including database marketing maturity, and the selection of stability strategies for upstream and downstream enterprises is analyzed under market mechanism and government regulation respectively. Case simulation is used to verify and analyse the effect of government regulation when the market mechanism fails. The determination of case data is based on the reference to the previous research and combined with the actual situation of relevant industry experts and scholars to repeatedly discuss, and strive to generalize the simulation data. The specific value does not represent the actual amount, but represents the relative size of each parameter. The results show that factors such as maturity of database marketing, information flow and technology quantity generated by collaborative innovation, coefficient of technology benefits, coefficient of social benefits and barrier factor of profit and loss have positive effects on the evolution of the system towards collaborative innovation direction. When the market mechanism fails, the incentive effect of the government adopting the cost subsidy is more efficient and rapid. The driving force of the achievements reward is more durable. The combination of the two incentives is the best. Moderate supervision and penalties of below the free-rider income level do not guarantee fair competition among enterprises. The punishment above the threshold can effectively restrain the negative impact of free-rider earnings and prospective gains and losses, while driving the system to collaborative innovation. Moreover, the higher the penalty, the faster the system converges. In this paper, the characteristics of strategic emerging industries are taken into account when the game model is constructed, which is of certain reference significance for the future research. At the same time, corresponding countermeasures and suggestions respectively are put forward in the conclusion of this study. The implication has certain guiding value for the enterprise and the government to make decisions.

Key words: strategic emerging industries, collaborative innovation, evolutionary game, supply chain

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