Abstract
A data envelopment analysis cross-efficiency model was used to measure the innovation efficiency of Chinese intelligent-manufacturing (IM) enterprises. This paper took as samples the number of granted patents and R&D investments of IM enterprises listed from 2015 to 2020. This research used the modified gravity model to determine the innovation efficiency and the spatial correlation of IM enterprises in China and used UCINET software to reveal the innovation efficiency and spatial network characteristics of IM enterprises through a social network analysis. The study found that the relationship was significant and frequently close between innovation efficiency and the spatial correlation network of IM enterprises. The distribution of the spatial association network was “core-edge,” and IM enterprises in Eastern China were at the network core and mostly played an intermediary role. The spatial correlation network had four modules. The distribution of the enterprise innovation correlation was uneven within each module, amalgamation was poor among the subgroups, and characteristics of highly cohesive subgroups were present.
Highlights
In January 2021, the Ministry of Industry and Information Technology issued the Report on Intelligent-Manufacturing (IM) Development Index (2020), which pointed out that IM has become an important channel for promoting the transformation and upgrading of the manufacturing industry and accelerating its high-quality development, as a new round of scientific and technological and industrial revolutions is constantly deepening. e Manufactured in China 2025 report issued by the State Council pointed out that IM should be taken as the development core to realize industrial transformation and to upgrade China from a manufacturer of quantity to one of quality
The overflow path is analyzed of innovation efficiency in the spatial network of the IM pilot enterprises, and the role and function of each enterprise are studied in the spatial correlation network of IM innovation efficiency. e latter is of great significance for promoting the integration of informatization and industrialization, building a collaborative innovation mechanism of IM and driving regional economic development
According to Liu et al [39], the vector autoregressive (VAR) Granger causality method is too sensitive to the choice of the end of lag, which weakens the accuracy of the characteristic description of the network structure to a certain extent. erefore, by referring to the modified gravity model of Shao et al [40], the spatial correlation network of the innovation efficiency of the IM enterprises was constructed in this paper. e modified gravity model was as follows [41]: Xij
Summary
In January 2021, the Ministry of Industry and Information Technology issued the Report on Intelligent-Manufacturing (IM) Development Index (2020), which pointed out that IM has become an important channel for promoting the transformation and upgrading of the manufacturing industry and accelerating its high-quality development, as a new round of scientific and technological and industrial revolutions is constantly deepening. e Manufactured in China 2025 report issued by the State Council pointed out that IM should be taken as the development core to realize industrial transformation and to upgrade China from a manufacturer of quantity to one of quality. E Manufactured in China 2025 report issued by the State Council pointed out that IM should be taken as the development core to realize industrial transformation and to upgrade China from a manufacturer of quantity to one of quality. In this critical phase, the Ministry of Industry and Information Technology carried out the special action of an IM pilot demonstration to implement the overall requirements of Manufactured in China 2025. Is definition states that IM is a new production mode based on the deep integration of newgeneration information as well as communication and advanced manufacturing technology. The overflow path is analyzed of innovation efficiency in the spatial network of the IM pilot enterprises, and the role and function of each enterprise are studied in the spatial correlation network of IM innovation efficiency. e latter is of great significance for promoting the integration of informatization and industrialization, building a collaborative innovation mechanism of IM and driving regional economic development
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