Table 5. Results of multiple regression analysis with Willingness to Engage in Risk Mitigation Behavior as dependent variable.
Independent Variable | B | SE | β |
Socio-Demographic Variables | |||
Gender | 0.08 | 0.14 | 0.02 |
Age | |||
21–40 years | −0.01 | 0.08 | 0.00 |
41–60 years† | - | - | - |
over 60 years | 0.03 | 0.11 | 0.01 |
Position in Business | 0.04 | 0.11 | 0.01 |
Main Source of Income | |||
Horticulture, landscape architecture, and gardening† | |||
Horticulture and landscape architecture | 0.24 | 0.09 | 0.09** |
Gardening | 0.19 | 0.11 | 0.06 |
Potted plants and cut flowers | −0.12 | 0.11 | −0.04 |
Tree nursery | −0.31 | 0.15 | −0.08* |
Others (combination of several sources of income) | −0.09 | 0.13 | −0.02 |
Business Sector | |||
Wholesale market | −0.20 | 0.16 | −0.04 |
Private consumer business† | - | - | - |
Mixed clientele | 0.04 | 0.08 | 0.02 |
Number of Full Time Employees | |||
1–5 employees† | - | - | - |
6–15 employees | 0.02 | 0.08 | 0.01 |
16–30 employees | −0.07 | 0.11 | −0.02 |
Over 30 employees | −0.19 | 0.12 | −0.06 |
Psychological Variables | |||
Benefit | −0.34 | 0.04 | −0.35*** |
Risk Perception | 0.30 | 0.03 | 0.39*** |
Note:
*p<0.05,
**p<0.01,
***p<0.001,
N = 541, R2 = 0.48, adjusted R2 = 0.46.
Dummy variable gender was coded as 0 = male, 1 = female. Position in Business was coded as 0 = other (e.g., head of department/administration), 1 = general manager or branch manager.
Reference category.