| Title |
The effect of manufacturing intelligence on green innovation performance in China |
| ID_Doc |
35132 |
| Authors |
Yang, HC; Li, LS; Liu, YB |
| Title |
The effect of manufacturing intelligence on green innovation performance in China |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.techfore.2022.121569 |
| Abstract |
Accelerating the intelligent transformation of manufacturing industry is an important strategic choice to realize the green innovation transformation. Based on the perspectives of static efficiency and dynamic productivity, this paper analyzes the effect of manufacturing intelligence on green innovation performance and its internal mechanism from theoretical and empirical levels by using the dynamic spatial lag model (DSAR), mediating effect model and moderating effect model. The results show that: In the whole country, manufacturing intelligence has a significant promotion effect on green innovation performance; The reason why manufacturing intelligence can promote the improvement of green innovation performance is that manufacturing intelligence is conducive to the production of "technology promotion effect" and "cost reduction effect", so as to promote green technology innovation, then effectively increase the desirable outputs and significantly decrease the undesirable outputs; The effect of manufacturing intelligence on green innovation performance has obvious regional heterogeneity: the improvement effect of manufacturing intelligence on green innovation performance in the eastern region is significantly higher than that in the central and western regions. In addition, further analysis shows that green technological progress rather than green technical efficiency is the main driving force for manufacturing intelligence to improve the dynamic green innovation performance. |
| Author Keywords |
Manufacturing intelligence; Green innovation performance; Dynamic spatial lag model (DSAR); Mediating effect model; Regional heterogeneity; Moderating effect model |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:000778411300013 |
| WoS Category |
Business; Regional & Urban Planning |
| Research Area |
Business & Economics; Public Administration |
| PDF |
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