Digital Economy and Intelligent Manufacturing Coupling Coordination: Evidence from China
Abstract
:1. Introduction
2. Literature Review and Mechanism Construction
2.1. Literature Review
2.2. Coupling Coordination Mechanisms of DE and IM
3. Empirical Design
3.1. Sample and Data Collection
3.2. Index System Construction and Measurement
3.2.1. Index Composition
3.2.2. Measuring Method
- (1)
- Index standardization: .
- (2)
- Index normalization: .
- (3)
- Entropy of each index: , among which, .
- (4)
- Weights of indicators: .
- (5)
- Scores for each provincial administrative region: .
3.3. Model Specification
3.3.1. Coupling Coordination Degree Model
3.3.2. Coupling Evolution Model
3.3.3. Obstacle Degree Model
3.3.4. Fixed Effects Model
3.3.5. Exploratory Spatial Data Analysis
4. Empirical Results
4.1. Subsystem Development Index and Coupling Coordination Degree
4.2. Coupling Evolution Analysis
4.3. Subsystem Development Index and Coupling Coordination Degree
4.4. Influence Factors Analysis
4.5. Spatial Effect Analysis
4.6. Discussion
5. Conclusions
5.1. Main Conclusions
5.2. Policy Recommendations
5.3. Limitations and Future Research
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Element Level | Index Level | Measure Index and Unit | |
---|---|---|---|
Digital Economy X | Digital infrastructure X1 | Cable length X11 | Cable length (km) |
Internet penetration X12 | Broadband Internet users accounted for (%) | ||
Telephone penetration rate X13 | Mobile phone part number per 100 people (units) | ||
Number of Internet domain names X14 | Number of Internet domain names (thousands) | ||
Digital technology innovation X2 | Technological innovation level X21 | Number of patent applications (pieces) | |
Proportion of enterprises with e-commerce transactions X22 | The proportion of e-commerce enterprises | ||
Digital industrialization X3 | Output value of information service industry X31 | Information transmission, software and information technology services business income (CNY 100 million) | |
Digital industry employees X32 | Employees in information transmission, software and information technology service enterprises (10,000) | ||
Total telecommunications business X33 | Telecommunications business volume (CNY 100 million) | ||
Industrial digitization X4 | Digital Financial Inclusion Index X41 | Peking University Digital Financial Inclusion Index | |
Digital transaction X42 | E-commerce sales (CNY 100 million) | ||
Corporate website coverage X43 | Websites per million businesses (number) | ||
The proportion of computers used by enterprises X44 | Every one hundred people use the computer number (units) | ||
Intelligent manufacturing Y | Intelligent R&D investment Y1 | R&D funds are invested in Y11 | Manufacturing R&D funding (CNY ten thousand) |
Talent input Y12 | Manufacturing R&D personnel equivalent to full-time | ||
Technological innovation input Y13 | Manufacturing technology transformation spending (CNY ten thousand) | ||
Intelligent technology Y2 | Intelligent technology innovation Y21 | Number of patent applications for manufacturing inventions (pieces) | |
Intelligent technology accumulation Y22 | Manufacturing invention patent number effectively (pieces) | ||
Smart project request Y23 | Manufacturing R&D project topics (items) | ||
Intelligent product Y3 | Intelligent product development project Y31 | Manufacturing a new product development project (items) | |
Intelligent product sales revenue Y32 | Sales revenue of manufacturing new products (CNY ten thousand) | ||
Intelligent application Y4 | Intelligent equipment application Y41 | Imports of computers, electronic components, instruments, etc. (USD 10,000) | |
Industrial robot application Y42 | Embedded system software (foundation, embed, support and application software) (CNY ten thousand) | ||
Software usage Y43 | Software business revenue (CNY ten thousand) |
Region | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|---|
Nationwide | 0.903/0.262 | 0.886/0.278 | 0.848/0.294 | 0.838/0.313 | 0.832/0.333 | 0.797/0.357 | 0.801/0.384 |
East | 0.934/0.384 | 0.925/0.400 | 0.912/0.420 | 0.905/0.445 | 0.903/0.478 | 0.898/0.503 | 0.892/0.529 |
Middle | 0.976/0.225 | 0.958/0.243 | 0.912/0.257 | 0.911/0.273 | 0.902/0.287 | 0.845/0.320 | 0.861/0.351 |
West | 0.818/0.166 | 0.794/0.183 | 0.739/0.196 | 0.718/0.209 | 0.712/0.222 | 0.661/0.239 | 0.666/0.264 |
Region Code | Coordination Degree | Rank Division | Relative Development Type |
---|---|---|---|
pr1 | 0.516 | Bare coordination | MS |
pr2 | 0.307 | Mild imbalance | MS |
pr3 | 0.291 | Moderate imbalance | MS |
pr4 | 0.326 | Mild imbalance | MS |
pr5 | 0.496 | Little imbalance | MS |
pr6 | 0.662 | Primary coordination | DS |
pr7 | 0.561 | Bare coordination | MS |
pr8 | 0.395 | Mild imbalance | MS |
pr9 | 0.508 | Bare coordination | DM |
pr10 | 0.765 | Intermediate coordination | DS |
pr11 | 0.134 | Severe imbalance | MS |
pr12 | 0.212 | Moderate imbalance | MS |
pr13 | 0.213 | Moderate imbalance | MS |
pr14 | 0.196 | Severe imbalance | MS |
pr15 | 0.351 | Mild imbalance | MS |
pr16 | 0.251 | Moderate imbalance | MS |
pr17 | 0.339 | Mild imbalance | MS |
pr18 | 0.346 | Mild imbalance | MS |
pr19 | 0.327 | Mild imbalance | MS |
pr20 | 0.185 | Severe imbalance | MS |
pr21 | 0.221 | Moderate imbalance | MS |
pr22 | 0.302 | Mild imbalance | MS |
pr23 | 0.381 | Mild imbalance | MS |
pr24 | 0.196 | Severe imbalance | MS |
pr25 | 0.202 | Moderate imbalance | MS |
pr26 | 0.295 | Moderate imbalance | MS |
pr27 | 0.164 | Severe imbalance | MS |
pr28 | 0.083 | Extreme imbalance | MS |
pr29 | 0.144 | Severe imbalance | MS |
pr30 | 0.151 | Severe imbalance | MS |
Region | 2013 | 2016 | 2019 |
---|---|---|---|
pr1 | X14/X21/X33; Y41/Y22/Y21 | X21/X22/X11; Y41/Y22/Y21 | X21/X33/X11; Y41/Y22/Y21 |
pr2 | X22/X21/X11; Y41/Y22/Y42 | X22/X21/X11; Y41/Y22/Y42 | X22/X21/X11; Y41/Y22/Y42 |
pr3 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y42/Y22 | X22/X21/X42; Y41/Y42/Y22 |
pr4 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y42/Y22 |
pr5 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X42; Y41/Y22/Y42 |
pr6 | X22/X21/X44; Y41/Y22/Y21 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X42; Y41/Y22/Y42 |
pr7 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X42; Y41/Y22/Y42 |
pr8 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X42; Y41/Y22/Y42 |
pr9 | X22/X21/X11; Y41/Y22/Y42 | X21/X22/X33; Y41/Y22/Y21 | X22/X21/X33; Y41/Y22/Y21 |
pr10 | X22/X44/X21; Y41/Y22/Y21 | X22/X44/X21; Y41/Y22/Y42 | X22/X44/X42; Y41/Y22/Y42 |
pr11 | X22/X21/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y42 | X22/X44/X21; Y41/Y22/Y42 |
pr12 | X22/X21/X44; Y41/Y42/Y22 | X21/X22/X44; Y41/Y42/Y43 | X21/X22/X44; Y41/Y42/Y43 |
pr13 | X22/X21/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y42 |
pr14 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y42 |
pr15 | X22/X21/X44; Y41/Y22/Y43 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y21 |
pr16 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y42/Y22 | X22/X21/X44; Y41/Y42/Y43 |
pr17 | X22/X21/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y43 | X22/X21/X44; Y41/Y22/Y42 |
pr18 | X22/X21/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y42/Y22 | X22/X21/X44; Y41/Y42/Y43 |
pr19 | X22/X21/X44; Y22/Y43/Y31 | X22/X44/X21; Y42/Y31/Y23 | X22/X44/X12; Y42/Y41/Y13 |
pr20 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y42 |
pr21 | X22/X21/X42; Y41/Y22/Y42 | X21/X42/X22; Y41/Y22/Y42 | X21/X22/X42; Y41/Y22/Y42 |
pr22 | X22/X21/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y42 |
pr23 | X22/X21/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y42 |
pr24 | X22/X21/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y42 |
pr25 | X22/X21/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y42 | X22/X21/X42; Y41/Y42/Y22 |
pr26 | X22/X21/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y42 | X22/X21/X42; Y41/Y22/Y42 |
pr27 | X22/X21/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y42 |
pr28 | X22/X21/X11; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y42 | X22/X21/X42; Y41/Y22/Y42 |
pr29 | X22/X21/X44; Y41/Y22/Y42 | X21/X22/X44; Y41/Y22/Y42 | X22/X21/X11; Y41/Y22/Y42 |
pr30 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X44; Y41/Y22/Y42 | X22/X21/X43; Y41/Y22/Y42 |
Variable | Mean | p50 | sd | max | min | N |
---|---|---|---|---|---|---|
cd_DEMI | 0.3178642 | 0.2886253 | 0.1661832 | 0.9391482 | 0.053634 | 210 |
op | 0.2630429 | 0.1375129 | 0.2686985 | 1.257114 | 0.0127789 | 210 |
eco | 10.89546 | 10.79819 | 0.4491707 | 13.56274 | 10.04979 | 210 |
hhc | 0.3324753 | 0.248674 | 0.2588408 | 1 | 0.0237893 | 210 |
is | 1.253848 | 1.081782 | 0.68291 | 5.169242 | 0.5722364 | 210 |
ixf | 0.0168461 | 0.0141423 | 0.0112827 | 0.0631469 | 0.0045827 | 210 |
Variable | op | eco | hhc | is | ixf |
---|---|---|---|---|---|
op | 1.000 | ||||
eco | 0.692 * | 1.000 | |||
hhc | 0.146 | 0.162 | 1.000 | ||
is | 0.490 * | 0.390 * | 0.119 | 1.000 | |
ixf | 0.793 * | 0.705 * | 0.274 * | 0.635 * | 1.000 |
VIF | 3.020 | 2.220 | 1.100 | 1.710 | 4.220 |
1/VIF | 0.332 | 0.451 | 0.905 | 0.586 | 0.237 |
Nationwide | Robustness Test | Endogenous Processing | East | Middle | West | |
---|---|---|---|---|---|---|
op | −0.0306 | −0.0253 | 0.0286 | 0.0120 | −0.0256 | 0.197 *** |
(0.0265) | (0.0234) | (0.0371) | (0.0546) | (0.0952) | (0.0655) | |
eco | 0.0656 ** | 0.0963 *** | 0.159 ** | 0.0420 | 0.126 *** | 0.106 *** |
(0.0282) | (0.0171) | (0.0651) | (0.0292) | (0.0282) | (0.0237) | |
hhc | 0.106 *** | 0.0908 *** | 0.0985 *** | 0.167 *** | −0.0102 | 0.111 *** |
(0.0237) | (0.0214) | (0.0373) | (0.0459) | (0.0730) | (0.0200) | |
is | −0.0149 | −0.00487 | 0.0191 | −0.0487 * | 0.00587 | 0.0389 ** |
(0.0125) | (0.0112) | (0.0225) | (0.0253) | (0.0135) | (0.0177) | |
ixf | 5.149 *** | 5.403 *** | 5.499 *** | 2.790 * | 9.733 *** | 4.981 *** |
(1.089) | (1.060) | (1.358) | (1.566) | (1.414) | (1.538) | |
_cons | −0.492 *** | −0.743 *** | −1.818 ** | −0.0816 | −1.200 *** | −1.091 *** |
(0.314) | (0.169) | (0.875) | (0.363) | (0.290) | (0.261) | |
Year | Yes | Yes | Yes | Yes | Yes | Yes |
Province | Yes | Yes | Yes | Yes | Yes | Yes |
N | 210 | 210 | 180 | 77 | 56 | 77 |
R2 | 0.991 | 0.992 | 0.989 | 0.993 | 0.991 | 0.991 |
Year | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
---|---|---|---|---|---|---|---|---|
Index | ||||||||
Nationwide: Moran’s I | 0.061 | 0.066 | 0.071 | 0.071 | 0.064 | 0.065 | 0.062 | |
p-value | 0.003 | 0.002 | 0.001 | 0.001 | 0.002 | 0.002 | 0.003 | |
East: Moran’s I | −0.062 | −0.056 | −0.041 | −0.026 | −0.011 | −0.046 | −0.049 | |
p-value | 0.399 | 0.382 | 0.34 | 0.307 | 0.271 | 0.354 | 0.362 | |
Middle: Moran’s I | −0.008 | 0.029 | 0.093 | 0.115 | 0.140 | 0.236 | 0.197 | |
p-value | 0.210 | 0.151 | 0.078 | 0.059 | 0.042 | 0.009 | 0.017 | |
West: Moran’s I | 0.036 | 0.044 | 0.058 | 0.060 | 0.055 | 0.063 | 0.076 | |
p-value | 0.024 | 0.018 | 0.011 | 0.010 | 0.013 | 0.009 | 0.006 |
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Zhang, W.; Meng, F. Digital Economy and Intelligent Manufacturing Coupling Coordination: Evidence from China. Systems 2023, 11, 521. https://doi.org/10.3390/systems11100521
Zhang W, Meng F. Digital Economy and Intelligent Manufacturing Coupling Coordination: Evidence from China. Systems. 2023; 11(10):521. https://doi.org/10.3390/systems11100521
Chicago/Turabian StyleZhang, Wanyu, and Fansheng Meng. 2023. "Digital Economy and Intelligent Manufacturing Coupling Coordination: Evidence from China" Systems 11, no. 10: 521. https://doi.org/10.3390/systems11100521