Table 3.
Regression models of the relationship between web-retail and Russian regions’ economic development (using dummy variables)
| Factor | Central Federal District | North-Western Federal District | Southern Federal District | North Caucasian Federal District | Volga Federal District | Ural Federal District | Siberian Federal District | Far Eastern Federal District |
|---|---|---|---|---|---|---|---|---|
| Intercept | 38.26 *** | 34.63 *** | 34.80 *** | 24.08 *** | 33.23 *** | 47.70 *** | 29.07 *** | 30.42 *** |
| (0.75) | (1.71) | (1.79) | (1.22) | (0.90) | (2.43) | (1.61) | (1.81) | |
| SWS | 7.09 *** | 4.35 | 2.45 | 5.08 ** | 1.57 | 7.75 *** | 1.79 | 3.38 * |
| (1.07) | (2.56) | (1.93) | (1.61) | (0.95) | (2.02) | (1.58) | (1.31) | |
| SO | 5.46 *** | 3.04 | 6.12 ** | -1.46 | 0.81 | 8.76 *** | 5.23 *** | 4.97 *** |
| (0.80) | (1.73) | (1.79) | (1.52) | (0.88) | (1.61) | (1.38) | (1.41) | |
| SP | -0.30 | -0.76 | 2.31 | -0.75 | 1.13 | 4.63 * | 0.28 | 2.99 |
| (1.00) | (2.00) | (2.01) | (1.34) | (0.87) | (1.69) | (1.39) | (1.62) | |
| d1 | 15.98 *** | 29.12 *** | ||||||
| (3.91) | (8.01) | |||||||
| d2 | 10.42 | 21.21 *** | -4.60 | 8.93 * | ||||
| (5.54) | (1.88) | (5.24) | (4.28) | |||||
| d3 | 9.71 * | -7.03 * | 19.12 *** | 26.44 *** | -1.76 | |||
| (4.60) | (2.70) | (3.47) | (4.56) | (3.69) | ||||
| N | 90 | 55 | 40 | 35 | 70 | 30 | 50 | 55 |
| R2 | 0.78 | 0.63 | 0.42 | 0.27 | 0.83 | 0.87 | 0.57 | 0.34 |
Note: all continuous predictors are mean-centered and scaled by 1 standard deviation. *** p < 0.001; ** p < 0.01; * p < 0.05
Source: Formed by the authors