PurposeBased on dual information asymmetry, the two-stage segmented compensation mechanism for technological innovation of civilian enterprises’ participation in military (CEPIM) has been discussed.Design/methodology/approachOn the basis of the traditional principal-agent problems, the incentive compatibility condition is introduced as well as the hybrid incentive compensation model is established, to solve optimal solution of the compensation parameters under the dynamic contract condition and the validity is verified by numerical simulation.FindingsThe results show that: (1) The two-stage segmented compensation mechanism has the functions of “self-selection” and “stimulus to the strong”, (2) It promotes the civilian enterprises to obtain more innovation benefit compensation through the second stage, (3) There is an inverted U-shaped relationship between government compensation effectiveness and the innovation ability of compensation objects and (4) The “compensable threshold” and “optimal compensation threshold” should be set, respectively, to assess the applicability and priority of compensation.Originality/valueIn this paper, through numerical simulation, the optimal solution for two-stage segmented compensation, segmented compensation coefficient, expected returns for all parties and excess expected returns have been verified under various information asymmetry. The results show that the mechanism of two-stage segmented compensation can improve the expected returns for both civilian enterprises and the government. However, under dual information asymmetry, for innovation ability of the intended compensation candidates, a “compensation threshold” should be set to determine whether the compensation should be carried out, furthermore an “optimal compensation threshold” should be set to determine the compensation priority.
创新与文明进步是人类发展的永恒话题,本研究基于创新范式视角探究科技创新对人类文明演进的助推作用.通过对创新成果分类比较发现创新成果影响力随着文明阶段演变而大幅攀跃,表明创新对人类文明的推动作用日趋显现.此外,当前科学家和政府部门已成为推动人类文明进步的中坚力量,而广大群众和用户是全球未来创新的重要驱动力.基于此,我国应坚定不移地实施创新驱动发展战略,坚持以人民为中心的创新,不断发挥广大人民群众的创新活力,助力实现中华民族伟大复兴的中国梦.
实现大数据发展与区域创新的深度融合,形成健康、有序、有效的大数据驱动区域创新的发展模式是当前亟待探讨的重要议题.本文主要探讨大数据发展对区域创新的驱动效应,选取2011-2021 年我国省域层面的相关数据,利用熵权法和线性加权法测算大数据发展和区域创新综合指标,建立门槛效应模型和空间杜宾模型,研究大数据发展对区域创新的门槛效应和空间溢出效应.结果表明:大数据发展对于区域创新具有显著的促进效应,且存在边际效应递增的双门槛效应;本地区域创新对于邻地存在正向的空间溢出效应,而本地大数据发展主要提升本地的区域创新能力,对于邻地区域创新则具有负向的空间溢出效应.充分发挥大数据的创新驱动效应,应提升区域大数据技术的应用能力,建立开放的数据共享平台,推动大数据与传统产业的深度融合等.
环境规制实施对推动绿色创新、促进减污降碳,最终实现"双碳"战略目标至关重要.本文以环境规制工具《环境空气质量标准》实施为准自然实验,以我国 276 个城市数据为样本,采用多时点DID模型分析了城市在该标准实施前后的绿色技术创新表现.研究发现,《环境空气质量标准》的实施显著提升了我国城市的实质性绿色技术效应,但对策略性绿色创新效果影响不显著;机制分析表明,政府治理、公众监督进一步强化环境规制的绿色创新效应,显著促进实质性绿色创新;异质性分析表明,新标准显著促进东部地区实质性绿色创新,抑制其策略性绿色创新.由此,我们认为应进一步完善环境质量标准体系,将更多的环境信息纳入国家监测体系,加快推进生产方式的绿色低碳转型发展.
科技成果转化政策是科技创新政策体系的重要组成部分,在推动科技创新进而实现高质量发展方面,发挥着至关重要的支撑作用.研究综合运用内容分析、PMC指数和熵权TOPSIS等研究方法,系统性地评价和分析了长三角地区科技成果转化政策.最终提出在相关政策制定和实施的过程中,要注重不同类型政策工具的高效运用、衔接匹配和均衡使用;政策的重心要做到适度前移,完善创新价值的全链条;各地区要根据自身实际加强政策沟通和协调,着力提升政策水平和政策质量的对策建议,更好地推动区域科技成果转化迈上新台阶、科技创新实现新突破、高质量发展取得新跨越.
