摘要
文章基于"两化融合"核心技术之一的信息物理融合系统,从宏观角度对智能经济模式、技术生命周期理论、生产要素的投入密度函数进行了梳理,然后从微观视角入手,利用正态分布的概率密度函数构造出符合条件的不同生产要素的投入密度函数。在此基础上,视信息物理融合系统为一项新型技术,将经济体与假想市场竞争对手在新旧技术选择下的二人博弈作为分析场景,通过采用Cobb-Douglas生产函数的全要素比对分析法得出了在规模报酬不变的情况下,若不考虑随机扰动,相比旧技术而言采用信息物理融合系统技术可以有效提高经济体的经济效益、增加产出这一基本结论。最后,根据信息物理融合系统的应用现状及不足之处,提出了一系列政策建议,以期实现信息物理融合系统在市场的推广普及这一研究意义。
Based on cyber-physical systems, as one of core technologies of integration of industrialization and information,intelligent economical mode, and technological life cycle theory, density function of input factors is introduced through macroscopic viewpoint. Then under the microscopic viewpoint, different eligible density functions are created for production factors inputting through the normal distributed probability density function. On the foundation, cyber-physical systems is regarded as a new technology, through usage of two-person game between economic entity and the imaginary market competitor to create a new-old technology choice as an analytical scenario. The basic conclusion is obtained from means of Cobb-Douglas production function＇s total factors compared analysis.Under the condition that constant returns to scale, without consideration of stochastic disturbance, compared with old technology,adopting cyber-physical systems technology could effectively improve economic efficiency and increase output of economy. In the end,according to the applied current situation and weaknesses of cyber-physical systems, a series of suggestions are put forward, in order to realize the research significance for popularizing cyber-physical systems to market.
作者
陈奕延
李晔
CHEN Yi-yan;LI Ye(School of Automation,Beijing Institute of Technology,Beijing 100081,China;Graduate School of Chinese Academy of Social Sciences,Beijing 102488,China;Hebei Key Laboratory of Data Science and Application,Tangshan Hebei 063210,China)
出处
《技术经济与管理研究》
北大核心
2018年第7期3-11,共9页
Journal of Technical Economics & Management
基金
英国系统科学学会深度课题(UA1709001F)
河北省数据科学与应用重点实验室开放课题(20170320002).
关键词
信息物理
智能经济
技术生命周期
智能制造
Information physics
Intelligent economy
Technical life cycle
Intelligent manufacturing
