中国数字经济规模的测度方法

Siqi Yang, Xing-lin Li
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引用次数: 2

摘要

向“数字经济”的快速转型是一系列创新的结果。计算机见证了半导体晶体管、集成电路、个人计算机、操作系统和图形界面的发展。随着光纤和新型无线通信技术的出现,实现了通信的物理层,网络见证了Internet(主要是分组交换)和万维网的发展。总之,这些进步导致了一系列新的信息通信技术应用,如商业软件、电子邮件和电子商务。本文采用P-Star模型对其进行改进,计算经验方程,预测通货膨胀压力测度,并与实际情况进行比较。首先,对土地麻醉的权重进行年度修正,提出了基于动态系数的案例数和基于动态系数的规模计量方法;运用计量经济学的方法,为理论的应用提供理论参考。结果表明:中国制造业的发展水平逐年提高,到2020年制造业占比最高为34%。
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Measurement Method of Digital Economy Scale in China
The rapid transition to “digital economy” is the result of a series of innovations. Computers have witnessed the development of semiconductor transistors, integrated circuits, personal computers, operating systems and graphical interfaces. With the emergence of optical fiber and new wireless communication technology, the physical layer of telecommunication has been realized, and the network has witnessed the development of Internet (basically packet switching) and World Wide Web. Together, these advances have led to a range of new ICT applications, such as business software, e-mail and e-commerce. This paper uses P-Star model to improve it, calculates the empirical equation, forecasts the inflation pressure measurement, and compares it with the actual situation. Firstly, the weight of land narcotization is revised annually, and the number of cases based on dynamic coefficient and the scale measurement method based on dynamic coefficient are proposed. Using the method of econometrics, it provides theoretical reference for the application of the theory. The results show that: the development level of China's manufacturing industry increases with the year, and the highest proportion of manufacturing industry is 34% in 2020.
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