The Impact of China’s National Independent Innovation Demonstration Zone Policy on Provincial-Level Innovation
Based on panel data encompassing 25 provinces over a 19-year period from 2005 to 2023 and employing the Double/Debiased Machine Learning (DML) framework, this work examines the impact of China’s National Independent Innovation Demonstration Zone (NIDZ) pilot policy on provincial-level innovation cap...
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| Published in | Procedia computer science Vol. 266; pp. 731 - 738 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
2025
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| Abstract | Based on panel data encompassing 25 provinces over a 19-year period from 2005 to 2023 and employing the Double/Debiased Machine Learning (DML) framework, this work examines the impact of China’s National Independent Innovation Demonstration Zone (NIDZ) pilot policy on provincial-level innovation capability. In applying the DML model, this study accounts for the characteristics of panel data and eliminates the influence of confounding variables, along with individual and time fixed effects. Multiple robustness tests confirm that the NIDZ policy generates a significant short-term positive impact on provincial innovation capacity, which also exhibits strong persistence. Regional heterogeneity analysis indicates that the average policy effect is largest in the eastern region, although the inter-provincial variation in effects is also relatively greater. The policy effect in the western region is significantly positive and, comparatively, inter-provincial variation is smaller. Conversely, the short-term policy effect in the central region is not significant. An economic interpretation of the plausibility of these research findings is provided. |
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| AbstractList | Based on panel data encompassing 25 provinces over a 19-year period from 2005 to 2023 and employing the Double/Debiased Machine Learning (DML) framework, this work examines the impact of China’s National Independent Innovation Demonstration Zone (NIDZ) pilot policy on provincial-level innovation capability. In applying the DML model, this study accounts for the characteristics of panel data and eliminates the influence of confounding variables, along with individual and time fixed effects. Multiple robustness tests confirm that the NIDZ policy generates a significant short-term positive impact on provincial innovation capacity, which also exhibits strong persistence. Regional heterogeneity analysis indicates that the average policy effect is largest in the eastern region, although the inter-provincial variation in effects is also relatively greater. The policy effect in the western region is significantly positive and, comparatively, inter-provincial variation is smaller. Conversely, the short-term policy effect in the central region is not significant. An economic interpretation of the plausibility of these research findings is provided. |
| Author | Zhu, Meihong |
| Author_xml | – sequence: 1 givenname: Meihong surname: Zhu fullname: Zhu, Meihong email: zhumh1027@126.com organization: Capital University of Economics and Business, 121 Zhangjialukou, Fengtai District, Beijing, 100070, China |
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| Cites_doi | 10.1111/ectj.12097 10.1073/pnas.1510489113 10.1093/ectj/utac018 10.1080/01621459.2017.1319839 10.3982/ECTA18515 10.3982/QE1670 10.1093/ectj/utac003 10.1093/ectj/utaf011 10.1214/18-AOS1709 10.1093/ectj/utaa001 10.1080/07350015.2021.1895815 |
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| Keywords | National Independent Innovation Demonstration Zone Heterogeneity Effect Double Machine Learning |
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| Title | The Impact of China’s National Independent Innovation Demonstration Zone Policy on Provincial-Level Innovation |
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