Abstract
Given the importance of innovation in economic development, this paper intends to analyze the impacts of multiple factors on innovation efficiency in Zhongguancun Science Park. A two-stage analysis process is implemented. First, data envelopment analysis (DEA) is applied with several inputs and outputs relating to innovation activities. In the second stage, we regressed the efficiency scores from the first stage on the variables of interest. Results show that technological absorptive ability of an industry, external RD funding by financial organizations and governments, and RD cooperation among enterprises all positively and significantly affect industry innovation. Besides, it needs to encourage RD funding by financial organizations as well as control the governmental RD funding to an appropriate level.
| Original language | English |
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| Title of host publication | 2019 16th International Conference on Service Systems and Service Management, ICSSSM 2019 |
| ISBN (Electronic) | 9781728119410 |
| DOIs | |
| State | Published - Jul 2019 |
| Event | 16th International Conference on Service Systems and Service Management, ICSSSM 2019 - Shenzhen, China Duration: 13 Jul 2019 → 15 Jul 2019 |
Publication series
| Name | 2019 16th International Conference on Service Systems and Service Management, ICSSSM 2019 |
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Conference
| Conference | 16th International Conference on Service Systems and Service Management, ICSSSM 2019 |
|---|---|
| Country/Territory | China |
| City | Shenzhen |
| Period | 13/07/19 → 15/07/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Keywords
- DEA
- Efficiency
- Innovation
- Science Park
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