Table 5.
Relation between resilience scale and business adapting strategies (N = 463).
| Resilience scale | |
|---|---|
| Service sector | −0.148** (0.058) |
| Manufacturing sector | −0.070 (0.072) |
| Direct-to-consumer | −0.089 (0.058) |
| Sole proprietorship | 0.085 (0.055) |
| Cash flow problems during COVID-19 | −0.184*** (0.058) |
| Zero to 5 employees | 0.016 (0.061) |
| Family business | −0.021 (0.057) |
| Operated from home | −0.001 (0.001) |
| Number of years operating | 0.001 (0.001) |
| Number of days closed COVID-19 | −0.001*** (0.000) |
| Female-owned business | −0.127** (0.054) |
| Rural area | 0.029 (0.073) |
| Changed to online sales | 0.125* (0.070) |
| Changed how procured supplies | −0.135** (0.064) |
| Changed how serve customers | −0.195*** (0.064) |
| Increased business social media presence | 0.183*** (0.063) |
| Apply PPP loan | 0.065 (0.068) |
| Apply EIDL loan | 0.161* (0.087) |
Standard errors in parentheses are corrected for heteroskedasticity. *, **, ****p < 0.01, 0.05, 0.001. The estimates in the column are results of a linear probability model. The coefficients reported are probabilities. The regression also includes variables for business owner characteristics such as race, age, marital status, education, and region of residence.