HP1.3: technology use in SEs through scaling within (with selected controls)
| Model 3 – Scaling within | ||||
|---|---|---|---|---|
| Path 3.1 | Path 3.2 | Path 3.3 | Path 3.4 | |
| Improved transparency | Improved accessibility | Led to industry policy change | Generated new income sources | |
| Technology use in SEs | 0.593*** (0.17) | 0.523** (0.17) | 0.469** (0.17) | 0.242 (0.17) |
| Firm-specific effects | ||||
| Urban/rural | −0.136 (0.07) | −0.089 (0.07) | −0.135 (0.08) | −0.214** (0.07) |
| Covid funding reduction | 0.249 (0.14) | −0.030 (0.14) | 0.036 (0.15) | 0.345* (0.14) |
| Country-specific effects | ||||
| Continents | 0.006 (0.04) | −0.030 (0.04) | −0.103* (0.04) | −0.094* (0.04) |
| Sector-specific effects | ||||
| Economic development | 1.026 (0.53) | 1.177* (0.51) | 0.795 (0.48) | 1.317* (0.51) |
| Climate and planet | 0.697 (0.54) | 0.729 (0.52) | 1.080* (0.50) | 0.902 (0.51) |
| Constant | −0.703 (0.54) | −0.078 (0.52) | 0.596 (0.50) | 0.074 (0.52) |
| Observations | 584 | 573 | 618 | 611 |
| Model 3 – Scaling within | ||||
|---|---|---|---|---|
| Path 3.1 | Path 3.2 | Path 3.3 | Path 3.4 | |
| Improved | Improved | Led to industry | Generated new | |
| Technology use in SEs | 0.593 | 0.523 | 0.469 | 0.242 (0.17) |
| Urban/rural | −0.136 (0.07) | −0.089 (0.07) | −0.135 (0.08) | −0.214 |
| Covid funding reduction | 0.249 (0.14) | −0.030 (0.14) | 0.036 (0.15) | 0.345 |
| Continents | 0.006 (0.04) | −0.030 (0.04) | −0.103 | −0.094 |
| Economic development | 1.026 (0.53) | 1.177 | 0.795 (0.48) | 1.317 |
| Climate and planet | 0.697 (0.54) | 0.729 (0.52) | 1.080 | 0.902 (0.51) |
| Constant | −0.703 (0.54) | −0.078 (0.52) | 0.596 (0.50) | 0.074 (0.52) |
| Observations | 584 | 573 | 618 | 611 |
Significance levels: *p < 0.05; **p < 0.01; ***p < 0.001
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