Interconnectedness of AI technologies in logistics and eco-innovation (Hypothesis 5)
| Size | Coef | OLS | OLS HC0 | SLX | SAR |
|---|---|---|---|---|---|
| Small | (Intercept) | 98.199 [8.428] <0.001 | 98.199 [6.379] <0.001 | 103.375 [25.745] <0.001 | 93.845 [36.596] 0.010 |
| AI_log_S | 19.761 [9.955] 0.058 | 19.761 [6.053] 0.003 | 18.853 [11.008] 0.100 | 19.706 [9.599] 0.040 | |
| lag.AI_log_S | – | – | −8.615 [40.399] 0.833 | – | |
| rho | – | – | – | 0.042 [0.324] 0.897 | |
| R2 Adj. | 0.136/0.102 | – | 0.138/0.066 | – | |
| Shapiro–Wilk | W = 0.95956, p-value = 0.3611 | ||||
| Breusch–Pagan | BP = 0.062897, df = 1, p-value = 0.802 | ||||
| Moran I | Moran I = 0.54667, p-value = 0.2923 | ||||
| Medium | (Intercept) | 91.899 [8.454] <0.001 | 91.899 [6.874] <0.001 | 92.996 [29.399] 0.004 | 84.512 [35.460] 0.017 |
| AI_log_M | 11.125 [3.910] 0.009 | 11.125 [2.731] <0.001 | 11.084 [4.125] 0.013 | 11.117 [3.763] 0.003 | |
| lag.AI_log_M | – | – | −0.715 [18.309] 0.969 | – | |
| rho | – | – | – | 0.071 [0.316] 0.822 | |
| R2 Adj. | 0.245/0.214 | – | 0.245/0.182 | – | |
| Shapiro–Wilk | W = 0.92112, p-value = 0.04201 | ||||
| Breusch–Pagan | BP = 0.0013101, df = 1, p-value = 0.9711 | ||||
| Moran I | Moran I = 0.63942, p-value = 0.2613 | ||||
| Large | (Intercept) | 79.442 [7.807] <0.001 | 79.442 [6.503] <0.001 | 63.329 [19.534] 0.003 | 85.404 [33.372] 0.010 |
| AI_log_L | 5.532 [1.143] <0.001 | 5.532 [1.188] <0.001 | 5.567 [1.148] <0.001 | 5.553 [1.100] <0.001 | |
| lag.AI_log_L | – | – | 3.304 [3.670] 0.377 | – | |
| rho | – | – | – | −0.058 [0.305] 0.848 | |
| R2 Adj. | 0.484/0.463 | – | 0.500/0.459 | – | |
| Shapiro–Wilk | W = 0.97362, p-value = 0.6991 | ||||
| Breusch–Pagan | BP = 1.9859, df = 1, p-value = 0.1588 | ||||
| Moran I | Moran I = −0.40411, p-value = 0.6569 | ||||
| Size | Coef | OLS | OLS HC0 | SLX | SAR |
|---|---|---|---|---|---|
| Small | (Intercept) | 98.199 [8.428] <0.001 | 98.199 [6.379] <0.001 | 103.375 [25.745] <0.001 | 93.845 [36.596] 0.010 |
| AI_log_S | 19.761 [9.955] 0.058 | 19.761 [6.053] 0.003 | 18.853 [11.008] 0.100 | 19.706 [9.599] 0.040 | |
| lag.AI_log_S | – | – | −8.615 [40.399] 0.833 | – | |
| rho | – | – | – | 0.042 [0.324] 0.897 | |
| 0.136/0.102 | – | 0.138/0.066 | – | ||
| Shapiro–Wilk | W = 0.95956, | ||||
| Breusch–Pagan | BP = 0.062897, df = 1, | ||||
| Moran I | Moran I = 0.54667, | ||||
| Medium | (Intercept) | 91.899 [8.454] <0.001 | 91.899 [6.874] <0.001 | 92.996 [29.399] 0.004 | 84.512 [35.460] 0.017 |
| AI_log_M | 11.125 [3.910] 0.009 | 11.125 [2.731] <0.001 | 11.084 [4.125] 0.013 | 11.117 [3.763] 0.003 | |
| lag.AI_log_M | – | – | −0.715 [18.309] 0.969 | – | |
| rho | – | – | – | 0.071 [0.316] 0.822 | |
| 0.245/0.214 | – | 0.245/0.182 | – | ||
| Shapiro–Wilk | W = 0.92112, | ||||
| Breusch–Pagan | BP = 0.0013101, df = 1, | ||||
| Moran I | Moran I = 0.63942, | ||||
| Large | (Intercept) | 79.442 [7.807] <0.001 | 79.442 [6.503] <0.001 | 63.329 [19.534] 0.003 | 85.404 [33.372] 0.010 |
| AI_log_L | 5.532 [1.143] <0.001 | 5.532 [1.188] <0.001 | 5.567 [1.148] <0.001 | 5.553 [1.100] <0.001 | |
| lag.AI_log_L | – | – | 3.304 [3.670] 0.377 | – | |
| rho | – | – | – | −0.058 [0.305] 0.848 | |
| 0.484/0.463 | – | 0.500/0.459 | – | ||
| Shapiro–Wilk | W = 0.97362, | ||||
| Breusch–Pagan | BP = 1.9859, df = 1, | ||||
| Moran I | Moran I = −0.40411, | ||||
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