Introduction
Evaluation method of regional industrial clusters' innovation capability based on particle swarm clustering and multi-objective optimization
Learning algorithm of particle swarm clustering
Multi-objective optimization solution method
Evaluation method of industrial cluster innovation ability
n | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|
RI | 0 | 0 | 0.63 | 0.91 | 1.11 |
n | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|
RI | 1.25 | 1.33 | 1.43 | 1.53 | 1.64 |
Evaluation experiment of regional industrial cluster innovation ability based on particle swarm clustering
Particle swarm clustering model of innovation ability evaluation
Establishment of evaluation index system
Evaluation of innovation capability of regional industrial clusters based on particle swarm optimization and multi-objective optimization
Evaluation of the innovation ability of different industrial clusters based on particle swarm optimization
Industrial cluster name | Industrial clusters A | Industrial clusters B | Industrial clusters C | Industrial clusters D | Industrial clusters E | Industrial clusters F | Industrial clusters G |
---|---|---|---|---|---|---|---|
Knowledge flow | 0.43 | 0.46 | 0.36 | 0.70 | 0.73 | 0.87 | 0.32 |
Technological innovation ability | 0.64 | 0.56 | 0.52 | 0.69 | 0.72 | 0.89 | 0.44 |
Innovation environment | 0.73 | 0.68 | 0.57 | 0.83 | 0.80 | 0.92 | 0.46 |
Innovation economic performance | 0.52 | 0.50 | 0.35 | 0.53 | 0.45 | 0.79 | 0.31 |
Industrial cluster name | Industrial clusters A | Industrial clusters B | Industrial clusters C | Industrial clusters D |
---|---|---|---|---|
Knowledge flow | 0.44 | 0.60 | 0.70 | 0.47 |
Technological innovation ability | 0.65 | 0.72 | 0.62 | 0.65 |
Innovation environment | 0.35 | 0.50 | 0.51 | 0.38 |
Innovation economic performance | 0.69 | 0.66 | 0.79 | 0.57 |
Grade | Industrial clusters E | Industrial clusters F | Industrial clusters G |
---|---|---|---|
0.8–1.0 | / | 0.851 | / |
0.6–0.8 | 0.623 | / | / |
0.4–0.6 | / | / | / |
0.2–0.4 | / | / | 0.393 |
0–0.2 | / | / | / |
Weight distribution of the evaluation index of industrial cluster innovation ability
Primary indicator name | First-level weight | Secondary indicator name | Secondary indicator number | Secondary weight | Percentage of sub-indicators (%) |
---|---|---|---|---|---|
Innovative R&D | 0.3785 | Scientific and techni | 1 | 0.1834 | 7.07 |
Government investment | 2 | 0.0691 | 2.75 | ||
High-tech | 3 | 0.1991 | 7.32 | ||
Innovation output | 0.4972 | Patent professor | 4 | 0.1572 | 7.69 |
Characteristic economy | 5 | 0.2118 | 10.77 | ||
Export value | 6 | 0.3369 | 16.71 | ||
Innovative interaction | 0.1249 | University cooperation | 7 | 0.1342 | 1.66 |
Institute cooperation | 8 | 0.1212 | 1.54 | ||
Technology Service Organization | 9 | 0.1161 | 1.45 |
Secondary indicator name | Secondary indicator number | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|
Science technology | 1 | 0.55 | 0.60 | 0.60 | 0.74 | 0.78 |
Government investment | 2 | 0.44 | 0.50 | 0.52 | 0.48 | 0.23 |
High-tech | 3 | 0.11 | 0.08 | 0.05 | 0.46 | 0.56 |
Patent professor | 4 | 0.05 | 0.58 | 0.71 | 0.25 | 0.26 |
Characteristic economy | 5 | 0.20 | 0.04 | 0.63 | 0.23 | 0.74 |
Export value | 6 | 0.43 | 0.22 | 0.03 | 0.60 | 0.07 |
University cooperation | 7 | 0.43 | 0.70 | 0.06 | 0.04 | 0.05 |
Institute cooperation | 8 | 0.05 | 0.26 | 0.31 | 0.07 | 0.39 |
Technology Service Organization | 9 | 0.20 | 0.27 | 0.31 | 0.39 | 0.50 |
Evaluation standard | First-level weight | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|
Innovative R&D capability index | 0.39 | 0.231 | 0.240 | 0.257 | 0.290 | 0.357 |
Innovation output capability index | 0.49 | 0.274 | 0.328 | 0.381 | 0.354 | 0.445 |
Innovation and interaction capability index | 0.13 | 0.162 | 0.201 | 0.228 | 0.277 | 0.318 |
Innovation capability index | 1 | 0.242 | 0.278 | 0.313 | 0.313 | 0.395 |