| Title |
Research on Manufacturing Green Innovation Capability Based on Big Data Mining-Taking the New Energy Vehicle Companies as an Example |
| ID_Doc |
30985 |
| Authors |
Guo, FR; Liu, Q |
| Title |
Research on Manufacturing Green Innovation Capability Based on Big Data Mining-Taking the New Energy Vehicle Companies as an Example |
| Year |
2020 |
| Published |
|
| DOI |
10.1088/1755-1315/510/3/032023 |
| Abstract |
In the early stages of China's economic development, the development mode characterized by "high pollution, high cost, and low efficiency" caused serious environmental pollution and resource shortages. The mode gradually restricted the healthy development of the industry. Accelerating economic system reform and promoting an update of green transformation about the industry are imminent. This research is based on text mining and sorting out of existing literature and news comments to construct an evaluation index for the green innovation capability of manufacturing companies. Through empirical research of new energy vehicle companies, this paper further analyzes the green innovation levels of typical domestic new energy vehicle companies. Empirical evidence shows that the level of green innovation of an enterprise is mainly determined by its ability to innovate green technology, and at the same time it is affected by the multiple effects of government policies, market environment, and consumer behavior. Finally, this article puts forward relevant suggestions for the development of the new energy vehicle industry from the government and enterprise levels. |
| Author Keywords |
|
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000615964600077 |
| WoS Category |
Energy & Fuels; Environmental Sciences |
| Research Area |
Energy & Fuels; Environmental Sciences & Ecology |
| PDF |
https://doi.org/10.1088/1755-1315/510/3/032023
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