Table 3 - uploaded by Xi Chen
Content may be subject to copyright.
Source publication
The rapid and continuous growth of the Internet industry is highly important to China’s economy. Based on Porter’s diamond model and using data from 2002 to 2016, we construct a cultivation factor index of China’s Internet industrial competitiveness, and its four composite indicators. We study the evolvement of the indexes over 15 years, and analyz...
Context in source publication
Context 1
... this conforms to the trend that the use of social networking sites spread after 2008, enabling the Internet to permeate netizens' daily work and life (Lin and Lu 2011) and promoting the prosperity of China's Internet industry. The cultivation factors of China's Internet industrial competitiveness index from 2002 to 2016 are calculated and shown in Table 3. ...
Citations
... Posada et al. [2], Yin et al. [3], Kaur et al. [4], and Aazam et al. [5], respectively, studied the methods of innovating industrial Internet platforms from the aspects of visual computing, edge computing, data security, fog manufacturing, and so on. In the specific application of industrial Internet and its impact on industry and economic development, Burmeister et al. [6] pointed out the future practice of industrial Internet application and the key capabilities needed by constructing I40 business model and combining the characteristics of business model; Li et al. [7] showed the 5C architecture of the industrial Internet and outlines the current status of industrial Internet applications in various industries; Chen et al. [8] used the Porter Diamond Model to study several comprehensive indicators in China over the past 15 years and found that technological innovation, government policies, environmental opportunities, and so on are beneficial to the development of the Internet and related industries; Menon et al. [9] analyzed the challenges of product life cycle management and proposed solutions using the openness and related dimensions and subdimensions of the industrial Internet platform; Tang and Dan [10] pointed out that the integrated development of industrial Internet can enhance the creativity of service-oriented manufacturing industry and value in various fields; Muthukumar et al. [11] expound the application of industrial Internet in university education. ...
Based on the Malmquist-DEA model and the DEA-BCC model, using the data of 53 industrial Internet-listed companies, the total factor productivity (TFP), technological progress (TC), and technical efficiency changes of the industrial Internet industry were measured from static and dynamic perspectives (EC), and used the coefficient of variation to further analyze the variance variables that measure the differences between enterprises in various subsectors in the industrial Internet industry. The study pointed out that the overall productivity level of the industrial Internet industry in 2015 to 2019 was low, and the fluctuation range was large, especially the sharp drop in productivity in 2016 to 2017, which had a serious impact on the entire industry. At the same time, changes in technical efficiency are the main reason for the decline in total factor productivity after 2015. Among various industries, the Malmquist indices of manufacturing and information transmission, software, and information technology services are all less than 1, and there is little difference in production efficiency and changes between the two. This study provides a reference for the productivity measurement of the industrial Internet industry based on the Malmquist-DEA model and provides practical inspiration for future management activities.
