Research Article
Spatial-Temporal Evolution and Influencing Factors of Urban Green Innovation Efficiency in China
Table 3
The inefficient decomposition sources and its contribution rate.
| | Region | Science and technology and education expenditure | Science and technology innovation personnel | Public book collections per 100 people | Number of Internet users | Number of green patents granted | Per capita GDP | Environmental pollution |
| Inefficient value | The whole country | 0.356 | 0.423 | 0.374 | 0.435 | 0.413 | 0.026 | 0.493 | Eastern China | 0.321 | 0.338 | 0.373 | 0.453 | 0.306 | 0.017 | 0.366 | Central China | 0.409 | 0.440 | 0.344 | 0.454 | 0.421 | 0.033 | 0.606 | Western China | 0.284 | 0.421 | 0.343 | 0.375 | 0.510 | 0.031 | 0.466 | Northeast China | 0.409 | 0.493 | 0.438 | 0.460 | 0.414 | 0.024 | 0.533 |
| Contribution ratio | The whole country | 19.047% | 22.648% | 20.037% | 23.310% | 44.311% | 2.793% | 52.896% | Eastern China | 17.915% | 18.824% | 20.789% | 25.265% | 44.398% | 2.434% | 53.168% | Central China | 20.934% | 22.550% | 17.616% | 23.264% | 39.740% | 3.115% | 57.145% | Western China | 17.243% | 25.561% | 20.811% | 22.750% | 50.676% | 3.032% | 46.291% | Northeast China | 19.679% | 23.733% | 21.049% | 22.109% | 42.637% | 2.448% | 54.915% |
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