Assessment of Science and Technology Innovation Capability of Digital Creative Industries Based on Empirical Analysis of Inputs and Outputs
21 mars 2025
À propos de cet article
Publié en ligne: 21 mars 2025
Reçu: 19 oct. 2024
Accepté: 06 févr. 2025
DOI: https://doi.org/10.2478/amns-2025-0615
Mots clés
© 2025 Yufei Sun, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1.
The results of SFA estimation
| - | R & D investment relaxation variable | Environmental support relaxation variable |
|---|---|---|
| Constant term | -2.512(3.118) | -1.231(1.889) |
| Asset size | 1.356(1.015) | 1.209*(1.428) |
| Number of enterprises | -0.957**(0.847) | 0.25*(0.13) |
| Government support | 2.311**(1.927) | 2.913**(2.0572) |
| Number of R & D institutions | 3.209*(1.416) | -1.941**(1.019) |
| sigma-squared | 5.448***(2.126) | 5.089***(2.364) |
| gamma | 0.565***(0.137) | 0.605***(0.116) |
| Log-likehood | -212.482 | -196.757 |
| LR test of one-sided | 50.436*** | 53.768*** |
The measure of the ability level of scientific and technological innovation
| Industry code | Integrated efficiency | Pure technical efficiency | Scale efficiency | Scale compensation |
|---|---|---|---|---|
| 8910 | 0.902 | 0.991 | 0.91 | Decreasing |
| 8920 | 1 | 1 | 1 | Decreasing |
| 8930 | 1 | 1 | 1 | Unchanged |
| 8940 | 0.873 | 0.911 | 0.985 | Decreasing |
| 6100 | 0.881 | 1 | 0.881 | Decreasing |
| 6200 | 0.807 | 1 | 0.807 | Unchanged |
| 9200 | 1 | 1 | 1 | Incremental |
| 7480 | 0.904 | 1 | 0.904 | Incremental |
| 8400 | 0.746 | 1 | 0.923 | Unchanged |
| 9010 | 0.831 | 0.882 | 0.942 | Incremental |
| 9070 | 1 | 1 | 1 | Unchanged |
| 9080 | 1 | 1 | 1 | Unchanged |
| 9090 | 1 | 1 | 1 | Unchanged |
| 4210 | 1 | 1 | 1 | Unchanged |
| 8240 | 1 | 1 | 1 | Unchanged |
| 7440 | 0.843 | 0.872 | 0.967 | Decreasing |
| 4900 | 0.476 | 0.538 | 0.885 | Incremental |
| 7410 | 1 | 1 | 1 | Unchanged |
| 7420 | 0.807 | 0.852 | 0.948 | Incremental |
| 7430 | 0.552 | 0.617 | 0.895 | Decreasing |
| 7450 | 0.722 | 0.746 | 0.969 | Incremental |
| 7470 | 1 | 1 | 1 | Unchanged |
| 8810 | 0.893 | 0.953 | 0.938 | Unchanged |
| 8820 | 1 | 1 | 1 | Decreasing |
The index system of the innovation ability of digital creative industry
| Primary indicator | Secondary indicator | Code number |
|---|---|---|
| Technology innovation input | R & D expenses investment | X1 |
| R & D personnel annual equivalent | X2 | |
| Enterprise management cost | X3 | |
| Number of enterprises into the system | X4 | |
| Per capita public financial expenditure on education | X5 | |
| Technology innovation output | Contract volume | X6 |
| Number of Patent Application Authorizations | X7 | |
| The growth rate of enterprise industrial output value | X8 | |
| The profit rate of enterprise operating income | X9 | |
| The growth rate of enterprise technology income | X10 | |
| The growth rate of enterprise product sales revenue | X11 |
The measure of technological efficiency
| Digital cultural creative equipment industry | |||||
|---|---|---|---|---|---|
| Decision unit(Year) | Integrated efficiency | Pure technical efficiency | Scale efficiency | Scale compensation change | |
| 2016 | 0.397 | 0.466 | 0.845 | Drs | |
| 2017 | 0.673 | 0.664 | 0.996 | - | |
| 2018 | 0.38 | 0.398 | 0.985 | Drs | |
| 2019 | 0.394 | 0.44 | 0.874 | Drs | |
| 2020 | 0.38 | 0.408 | 0.956 | Drs | |
| 2021 | 0.288 | 0.31 | 0.959 | Irs | |
| 2022 | 0.652 | 0.69 | 0.97 | Irs | |
| Mean | 0.452 | 0.482286 | 0.940714 | ||
| Digital cultural creative content production industry | |||||
| Decision unit(Year) | Integrated efficiency | Pure technical efficiency | Scale efficiency | Scale compensation change | |
| 2016 | 1 | 1 | 1 | - | |
| 2017 | 0.713 | 0.855 | 0.855 | Irs | |
| 2018 | 1 | 1 | 1 | - | |
| 2019 | 0.372 | 1 | 0.382 | Irs | |
| 2020 | 0.762 | 0.966 | 0.79 | Irs | |
| 2021 | 0.451 | 1 | 0.444 | Irs | |
| 2022 | 0.548 | 0.95 | 0.602 | Drs | |
| Mean | 0.69228571 | 0.967286 | 0.724714 | ||
| Design service industry | |||||
| Decision unit(Year) | Integrated efficiency | Pure technical efficiency | Scale efficiency | Scale compensation change | |
| 2016 | 0.422 | 1 | 0.423 | Drs | |
| 2017 | 1 | 1 | 1 | - | |
| 2018 | 0.803 | 0.844 | 0.952 | Drs | |
| 2019 | 0.668 | 0.903 | 0.745 | Irs | |
| 2020 | 0.772 | 0.888 | 0.868 | Irs | |
| 2021 | 1 | 1 | 1 | - | |
| 2022 | 0.878 | 1 | 0.878 | Drs | |
| Mean | 0.79185714 | 0.947857 | 0.838 | ||
| Digital creative and integrated service industry | |||||
| Decision unit(Year) | Integrated efficiency | Pure technical efficiency | Scale efficiency | Scale compensation change | |
| 2016 | 0.569 | 1 | 0.548 | Drs | |
| 2017 | 0.437 | 0.448 | 0.962 | Drs | |
| 2018 | 0.53 | 0.672 | 0.85 | Drs | |
| 2019 | 0.77 | 1 | 0.745 | Drs | |
| 2020 | 0.909 | 1 | 0.905 | Drs | |
| 2021 | 1 | 1 | 1 | - | |
| 2022 | 1 | 1 | 1 | - | |
| Mean | 0.745 | 0.874286 | 0.858571 | ||
| Digital content processing industry | |||||
| Decision unit(Year) | Integrated efficiency | Pure technical efficiency | Scale efficiency | Scale compensation change | |
| 2016 | 1 | 1 | 1 | - | |
| 2017 | 1 | 1 | 1 | - | |
| 2018 | 1 | 1 | 1 | - | |
| 2019 | 0.742 | 0.743 | 0.995 | Drs | |
| 2020 | 1 | 1 | 1 | - | |
| 2021 | 0.917 | 0.941 | 0.972 | Irs | |
| 2022 | 0.518 | 0.558 | 0.926 | Irs | |
| Mean | 0.88242857 | 0.891714 | 0.984714 | Irs | |
The measure of the third stage
| Digital cultural creative equipment industry | ||||
|---|---|---|---|---|
| Decision unit(Year) | Integrated efficiency | Pure technical efficiency | Scale efficiency | Scale compensation change |
| 2016 | 0.38704 | 0.46 | 0.826 | Drs |
| 2017 | 0.844 | 1 | 0.836 | - |
| 2018 | 0.4206 | 0.48 | 0.881 | Drs |
| 2019 | 0.48239 | 0.58 | 0.827 | Drs |
| 2020 | 0.65154 | 0.66 | 0.952 | Irs |
| 2021 | 0.42548 | 0.47 | 0.897 | Irs |
| 2022 | 0.50253 | 0.58 | 0.868 | Irs |
| Mean | 0.531 | 0.604 | 0.870 | - |
| Digital cultural creative content production industry | ||||
| Decision unit(Year) | Integrated efficiency | Pure technical efficiency | Scale efficiency | Scale compensation change |
| 2016 | 0.613 | 1 | 0.611 | Irs |
| 2017 | 0.675 | 0.811 | 0.832 | Irs |
| 2018 | 1 | 1 | 1 | - |
| 2019 | 0.403 | 1 | 0.401 | Irs |
| 2020 | 0.58 | 0.781 | 0.752 | Irs |
| 2021 | 0.397 | 1 | 0.391 | Irs |
| 2022 | 0.564 | 0.94 | 0.606 | Drs |
| Mean | 0.605 | 0.933 | 0.656 | - |
| Design service industry | ||||
| Decision unit(Year) | Integrated efficiency | Pure technical efficiency | Scale efficiency | Scale compensation change |
| 2016 | 0.403 | 1 | 0.398 | Irs |
| 2017 | 0.754 | 1 | 0.754 | Irs |
| 2018 | 0.805 | 0.903 | 0.893 | Irs |
| 2019 | 0.693 | 1 | 0.7 | Irs |
| 2020 | 0.775 | 0.955 | 0.803 | Irs |
| 2021 | 1 | 1 | 1 | - |
| 2022 | 0.732 | 1 | 0.735 | Irs |
| Mean | 0.737 | 0.980 | 0.755 | - |
| Digital creative and integrated service industry | ||||
| Decision unit(Year) | Integrated efficiency | Pure technical efficiency | Scale efficiency | Scale compensation change |
| 2016 | 0.504 | 1 | 0.522 | Drs |
| 2017 | 0.63 | 0.782 | 0.818 | Drs |
| 2018 | 0.474 | 0.68 | 0.725 | Irs |
| 2019 | 0.696 | 1 | 0.693 | Irs |
| 2020 | 0.697 | 0.814 | 0.859 | Irs |
| 2021 | 0.897 | 1 | 0.909 | Irs |
| 2022 | 1 | 1 | 1 | - |
| Mean | 0.7 | 0.897 | 0.789 | - |
| Digital content processing industry | ||||
| Decision unit(Year) | Integrated efficiency | Pure technical efficiency | Scale efficiency | Scale compensation change |
| 2016 | 0.322 | 1 | 0.322 | Irs |
| 2017 | 1 | 1 | 1 | - |
| 2018 | 1 | 1 | 1 | - |
| 2019 | 0.743 | 0.852 | 0.872 | Irs |
| 2020 | 1 | 1 | 1 | - |
| 2021 | 0.791 | 1 | 0.791 | Irs |
| 2022 | 0.562 | 0.634 | 0.881 | Irs |
| Mean | 0.774 | 0.927 | 0.838 | - |
The total variance of the explanation
| Constituent | The total variance of the explanation | Extract the sum of squares and load | Rotate the squares and load | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Initial eigenvalue | Total | Variance (%) | Cumulation (%) | Total | Variance (%) | Cumulation (%) | |||
| Total | Variance (%) | Cumulation (%) | |||||||
| 1 | 3.104 | 28.224 | 28.224 | 3.104 | 28.224 | 28.224 | 2.716 | 24.565 | 24.565 |
| 2 | 2.592 | 23.605 | 51.829 | 2.592 | 23.605 | 51.829 | 2.201 | 20.154 | 44.719 |
| 3 | 2.097 | 19.043 | 70.872 | 2.097 | 19.043 | 70.872 | 2.152 | 19.56 | 64.279 |
| 4 | 1.259 | 11.531 | 82.403 | 1.259 | 11.531 | 82.403 | 1.995 | 18.124 | 82.403 |
| 5 | 0.795 | 7.15 | 89.553 | - | - | - | - | - | - |
| 6 | 0.441 | 3.942 | 93.495 | - | - | - | - | - | - |
| 7 | 0.303 | 2.801 | 96.296 | - | - | - | - | - | - |
| 8 | 0.162 | 1.389 | 97.685 | - | - | - | - | - | - |
| 9 | 0.144 | 1.25 | 98.935 | - | - | - | - | - | - |
| 10 | 0.089 | 0.815 | 99.75 | - | - | - | - | - | - |
| 11 | 0.02 | 0.25 | 100 | - | - | - | - | - | - |
KMO and Bartlett tests
| KMO and Bartlett tests | ||
|---|---|---|
| KMO Measurement of Sampling 1Adequacy | 0.516 | |
| Bartlett ‘s sphericity test | Approximate card | 257.628 |
| dF | 60 | |
| Sig. | 0.000 | |
Rotational composition matrix
| Variable | Rotational composition matrix | |||
|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |
| X1 | 0.007 | 0.083 | 0.96 | 0.065 |
| X2 | -0.004 | -0.06 | -0.928 | -0.16 |
| X3 | 0.554 | 0.079 | -0.18 | 0.626 |
| X4 | 0.289 | 0.84 | 0.085 | 0.268 |
| X5 | -0.01 | 0.124 | 0.231 | 0.806 |
| X6 | 0.483 | -0.466 | -0.284 | 0.548 |
| X7 | 0.415 | 0.777 | 0.295 | 0.095 |
| X8 | -0.933 | -0.097 | 0.09 | 0.071 |
| X9 | 0.904 | 0.143 | 0.169 | -0.011 |
| X10 | -0.437 | 0.187 | 0.286 | 0.694 |
| X11 | 0.215 | -0.775 | 0.082 | 0.215 |