Interconnectedness of AI technologies in the production processes and eco-innovation (Hypothesis 2)
| Size | Coef | OLS | OLS HC0 | SLX | SAR |
|---|---|---|---|---|---|
| Small | (Intercept) | 90.673 [9.736] <0.001 | 90.673 [8.151] <0.001 | 90.535 [22.873] <0.001 | 90.658 [36.319] 0.013 |
| AI_prod_S | 14.909 [6.043] 0.021 | 14.909 [5.536] 0.012 | 14.919 [6.334] 0.027 | 14.909 [5.831] 0.011 | |
| lag.AI_prod_S | – | – | 0.106 [15.842] 0.995 | – | |
| rho | – | – | – | 0.000 [0.319] 1.000 | |
| R2 Adj. | 0.196/0.164 | – | 0.196/0.129 | – | |
| Shapiro–Wilk | W = 0.94518, p-value = 0.1635 | ||||
| Breusch–Pagan | BP = 0.49518, df = 1, p-value = 0.4816 | ||||
| Moran I | Moran I = 0.3792, p-value = 0.3523 | ||||
| Medium | (Intercept) | 88.898 [10.269] <0.001 | 88.898 [9.371] <0.001 | 88.727 [27.338] 0.003 | 89.658 [37.216] 0.016 |
| AI_prod_M | 6.650 [2.674] 0.020 | 6.650 [2.446] 0.012 | 6.655 [2.853] 0.028 | 6.655 [2.584] 0.010 | |
| lag.AI_prod_M | – | – | 0.050 [7.387] 0.995 | – | |
| rho | – | – | – | −0.007 [0.321] 0.981 | |
| R2 Adj. | 0.198/0.166 | 0.198/0.132 | |||
| Shapiro–Wilk | W = 0.94907, p-value = 0.2035 | ||||
| Breusch–Pagan | BP = 0.0178, df = 1, p-value = 0.8939 | ||||
| Moran I | Moran I = 0.34517, p-value = 0.365 | ||||
| Large | (Intercept) | 68.159 [9.225] <0.001 | 68.159 [6.881] <0.001 | 51.499 [20.787] 0.021 | 83.982 [32.228] 0.009 |
| AI_prod_L | 4.458 [0.861] <0.001 | 4.458 [0.722] <0.001 | 4.447 [0.864] <0.001 | 4.527 [0.823] <0.001 | |
| lag.AI_prod_L | – | – | 1.973 [2.204] 0.380 | – | |
| rho | – | – | – | −0.158 [0.291] 0.587 | |
| R2 Adj. | 0.518/0.498 | – | 0.533/0.494 | – | |
| Shapiro–Wilk | W = 0.98223, p-value = 0.909 | ||||
| Breusch–Pagan | BP = 0.88114, df = 1, p-value = 0.3479 | ||||
| Moran I | Moran I = −1.0302, p-value = 0.8486 | ||||
| Size | Coef | OLS | OLS HC0 | SLX | SAR |
|---|---|---|---|---|---|
| Small | (Intercept) | 90.673 [9.736] <0.001 | 90.673 [8.151] <0.001 | 90.535 [22.873] <0.001 | 90.658 [36.319] 0.013 |
| AI_prod_S | 14.909 [6.043] 0.021 | 14.909 [5.536] 0.012 | 14.919 [6.334] 0.027 | 14.909 [5.831] 0.011 | |
| lag.AI_prod_S | – | – | 0.106 [15.842] 0.995 | – | |
| rho | – | – | – | 0.000 [0.319] 1.000 | |
| 0.196/0.164 | – | 0.196/0.129 | – | ||
| Shapiro–Wilk | W = 0.94518, | ||||
| Breusch–Pagan | BP = 0.49518, df = 1, | ||||
| Moran I | Moran I = 0.3792, | ||||
| Medium | (Intercept) | 88.898 [10.269] <0.001 | 88.898 [9.371] <0.001 | 88.727 [27.338] 0.003 | 89.658 [37.216] 0.016 |
| AI_prod_M | 6.650 [2.674] 0.020 | 6.650 [2.446] 0.012 | 6.655 [2.853] 0.028 | 6.655 [2.584] 0.010 | |
| lag.AI_prod_M | – | – | 0.050 [7.387] 0.995 | – | |
| rho | – | – | – | −0.007 [0.321] 0.981 | |
| 0.198/0.166 | 0.198/0.132 | ||||
| Shapiro–Wilk | W = 0.94907, | ||||
| Breusch–Pagan | BP = 0.0178, df = 1, | ||||
| Moran I | Moran I = 0.34517, | ||||
| Large | (Intercept) | 68.159 [9.225] <0.001 | 68.159 [6.881] <0.001 | 51.499 [20.787] 0.021 | 83.982 [32.228] 0.009 |
| AI_prod_L | 4.458 [0.861] <0.001 | 4.458 [0.722] <0.001 | 4.447 [0.864] <0.001 | 4.527 [0.823] <0.001 | |
| lag.AI_prod_L | – | – | 1.973 [2.204] 0.380 | – | |
| rho | – | – | – | −0.158 [0.291] 0.587 | |
| 0.518/0.498 | – | 0.533/0.494 | – | ||
| Shapiro–Wilk | W = 0.98223, | ||||
| Breusch–Pagan | BP = 0.88114, df = 1, | ||||
| Moran I | Moran I = −1.0302, | ||||
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