Research Article
Industrial Demand and Innovation: An Application of Binomial Regression Model to Project Statistics of NSFC of China
| Explained variable: | The total number of approved projects | The total number of approved projects | Random effect (1) | Random effect (2) | Fixed effect (1) | Fixed effect (2) |
| ln (Pa) | 0.504 | 0.510 | 0.776 | 0.410 | (0.326) | (0.127) | (0.398) | (0.189) | ln (Ph + Pd) | 0.212 | 0.641 | 0.897 | 0.844 | (0.276) | (0.462) | (0.404) | (0.437) | | 0.008 | | 0.554 | | (0.290) | | (0.132) | | ln (Pm) | | 0.550 | | 0.510 | | (0.204) | | (0.221) | ln (Ar) | 0.153 | 0.159 | 0.218 | 0.322 | (0.091) | (0.091) | (0.090) | (0.065) | Constant term | −8.922 | −4.261 | | | (1.930) | (2.660) | | | N | 483 | 483 | 483 | 483 |
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Data source: National Natural Science Foundation of China.
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