Linear regression of issued microcredit on the canton’s own GDP
| Variables | Coefficient | p-value |
|---|---|---|
| Microcredits (millions) | 0.024963** | 0.027 |
| Agriculture and fishing | 0.000010*** | 0.000 |
| Mining | 0.000001*** | 0.000 |
| Electricity | 0.000015*** | 0.000 |
| Construction | −0.000007*** | 0.001 |
| Trade | −0.000005 | 0.252 |
| Accommodation and food | 0.000019 | 0.161 |
| Transport and communications | 0.000005 | 0.288 |
| Financial activities | 0.000006 | 0.651 |
| Real estate | −0.000002 | 0.448 |
| Administration | −0.000002 | 0.734 |
| Health | −0.000065*** | 0.001 |
| Other services | −0.000065*** | 0.020 |
| Teachers | 0.002861*** | 0.000 |
| Population | −0.000010 | 0.172 |
| Constant | 10.362,400*** | 0.000 |
| Sample size | 221 | |
| R2 | 0.76597 | |
| Variables | Coefficient | |
|---|---|---|
| Microcredits (millions) | 0.024963** | 0.027 |
| Agriculture and fishing | 0.000010*** | 0.000 |
| Mining | 0.000001*** | 0.000 |
| Electricity | 0.000015*** | 0.000 |
| Construction | −0.000007*** | 0.001 |
| Trade | −0.000005 | 0.252 |
| Accommodation and food | 0.000019 | 0.161 |
| Transport and communications | 0.000005 | 0.288 |
| Financial activities | 0.000006 | 0.651 |
| Real estate | −0.000002 | 0.448 |
| Administration | −0.000002 | 0.734 |
| Health | −0.000065*** | 0.001 |
| Other services | −0.000065*** | 0.020 |
| Teachers | 0.002861*** | 0.000 |
| Population | −0.000010 | 0.172 |
| Constant | 10.362,400*** | 0.000 |
| Sample size | 221 | |
| 0.76597 | ||
Note(s): * Significant at 10%, ** significant at 5% and *** significant at 1%
Source(s): Authors own creation
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