The role of digital transformation of higher education institutions in promoting regional economic competitiveness
19. März 2025
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Online veröffentlicht: 19. März 2025
Eingereicht: 07. Okt. 2024
Akzeptiert: 03. Feb. 2025
DOI: https://doi.org/10.2478/amns-2025-0491
Schlüsselwörter
© 2025 Yan Hong, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1.

Figure 2.

Robustness test: Results of spatial estimation based on economic weight matrix
Variable | SAR | SAR | SEM | SDM | SDM |
---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | |
1.1234** | 1.1056** | 0.7234** | 0.6524** | 1.3584** | |
(3.1843) | (4.1286) | (4.1318) | (5.6869) | (9.1002) | |
0.5325** | 0.5163*** | 0.6521*** | 0.7437*** | 0.5022*** | |
(2.5643) | (4.0108) | (3.2511) | (4.0672) | (3.5504) | |
0.7255 | 0.6833 | 0.7806 | 0.8083 | 0.8155 | |
(1.3042) | (1.2528) | (1.3591) | (1.2204) | (1.4485) | |
1.7456*** | 1.5862*** | 1.5689*** | 1.7777*** | 1.7056*** | |
(3.0838) | (3.1826) | (3.6856) | (5.1127) | (4.1053) | |
0.3356** | 0.3482** | 0.3128** | 0.3455** | 0.3458** | |
(3.1227) | (3.2205) | (3.2287) | (3.3228) | (3.1324) | |
0.2084*** | 0.2285*** | 0.2899*** | 0.2306*** | 0.2872*** | |
(4.4817) | (4.8821) | (4.8721) | (4.5952) | (4.8751) | |
0.0128 | 0.0106 | 0.0531 | 0.0027 | 0.0110 | |
(1.6751) | (1.6556) | (1.6504) | (1.6684) | (1.6841) | |
0.3117*** | 0.3051*** | 0.3227*** | 0.3284*** | 0.3205*** | |
(-3.4284) | (-3.5455) | (-3.5064) | (-3.5061) | (-3.5011) | |
0.0248 | 0.0342 | 0.0385 | 0.0228 | 0.0398 | |
(1.1522) | (1.1855) | (1.1751) | (1.1911) | (1.1921) | |
0.5824** | 0.5057** | 0.5257** | 0.5062** | 0.5078** | |
(2.2831) | (2.2627) | (2.2218) | (2.2537) | (2.2683) | |
0.6384*** | 0.6358*** | 0.6385*** | 0.6582*** | 0.6339*** | |
(2.2534) | (2.5855) | (2.8725) | (2.7527) | (2.8931) | |
0.2064*** | 0.1819** | 0.1919*** | 0.1833** | ||
(2.2534) | (2.1173) | (2.7158) | (2.0902) | ||
0.2928*** | |||||
(3.6343) | |||||
Log L | 158.4560 | 59.0680 | 58.4822 | 152.6930 | 58.4052 |
R-squared | 0.7714 | 0.3358 | 0.3317 | 0.7562 | 0.3779 |
Descriptive statistics of main variables
Variable type | Name | Symbol | Mean | SD | Minimum | Maximum |
---|---|---|---|---|---|---|
Explained variable | Regional economic competitiveness | 0.0091 | 0.3721 | -0.7312 | 2.3431 | |
Core interpretation variable | University digital transformation index | 0.0581 | 0.0074 | 0.0019 | 0.8515 | |
Mediation variable | Government subsidy | 0.0122 | 0.0158 | 0.0000 | 0.1497 | |
Control variable | Level of economic development | 10.5105 | 0.6827 | 4.4559 | 13.0447 | |
Financial development level | 0.1511 | 0.0667 | 0.0521 | 0.7338 | ||
Wage level | 10.7042 | 0.4905 | 8.5155 | 12.3481 | ||
Entrepreneurship | 10.3106 | 0.9927 | 4.3038 | 13.7856 | ||
Degree of opening up | -4.5246 | 1.3872 | -13.2442 | 0.8047 | ||
Industrial structure | -0.1431 | 0.1018 | -0.6976 | 0.0678 | ||
Government support | -1.7317 | 0.4921 | -3.1616 | 0.8933 | ||
Transportation facilities upgrading | 0.4256 | 0.4951 | 0 | 1 | ||
Administrative space scope | 9.3771 | 0.8348 | 2.6033 | 12.7892 |
Digital transformation and regional economic competitiveness - baseline regression results
Variable | ||||||
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
0.8056** | 1.1234** | -2.1147** | -2.2107** | 0.3727** | 0.7138** | |
(2.4837) | (4.0856) | (-2.3842) | (-2.5034) | (1.5192) | (3.2241) | |
0.6037*** | 0.0571 | 0.9006*** | ||||
(3.4188) | (0.4006) | (8.9874) | ||||
0.8736 | -0.4772 | 0.8424 | ||||
(1.3482) | (-0.6797) | (1.4551) | ||||
1.7479*** | 2.8332*** | 0.8332*** | ||||
(3.0567) | (3.0888) | (2.7751) | ||||
0.3552** | 0.2041 | 0.1086* | ||||
(3.1281) | (0.9738) | (1.6109) | ||||
0.2177*** | -0.0085 | 0.1081*** | ||||
(4.8890) | (-0.1557) | (4.2654) | ||||
0.0137 | -0.0127 | 0.0121* | ||||
(1.6705) | (-0.6526) | (1.8016) | ||||
0.3102*** | -0.1738 | 0.2333*** | ||||
(-3.5011) | (-1.1855) | (-3.2428) | ||||
0.0398 | 0.0252 | -0.0222 | ||||
(1.1921) | (0.7531) | (-1.3652) | ||||
0.5063** | -0.5429 | 0.3756* | ||||
(2.2612) | (-0.6175) | (1.6686) | ||||
0.6327*** | 0.0572 | 0.9332*** | ||||
(2.8834) | (0.4003) | (8.3251) | ||||
(Constant) | -0.088*** | -17.332*** | 0.131*** | 2.8344 | -0.091** | -16.372** |
(-5.0633) | (-5.4482) | (4.9633) | (0.3731) | (-7.2056) | (-6.5171) | |
Individual effect | Yes | Yes | Yes | Yes | Yes | Yes |
Time effect | Yes | Yes | Yes | Yes | Yes | Yes |
R-squared | 0.4503 | 0.5667 | 0.8653 | 0.8776 | 0.6225 | 0.8303 |
Moran’s-I index of economic competitiveness of 291 prefecture-level cities in China
Year | Moran’s I | Year | Moran’s I | ||
---|---|---|---|---|---|
2008 | 0.233 | 0.005 | 2017 | 0.306 | 0.000 |
2009 | 0.234 | 0.003 | 2018 | 0.312 | 0.000 |
2010 | 0.295 | 0.000 | 2019 | 0.333 | 0.000 |
2011 | 0.297 | 0.000 | 2020 | 0.321 | 0.000 |
2012 | 0.309 | 0.000 | 2021 | 0.302 | 0.000 |
2013 | 0.403 | 0.000 | 2022 | 0.292 | 0.000 |
2014 | 0.407 | 0.000 | 2023 | 0.283 | 0.000 |
2015 | 0.418 | 0.000 | 0.000 | ||
2016 | 0.355 | 0.000 |