Parameter estimates of factors affecting the number of farm adaptation strategies used: negative binomial count model
| Variable | Farming adaptation strategies (FAS) | |||
|---|---|---|---|---|
| Farm operator | Marginal effects | Spouse | Marginal effects | |
| Constant | –7.007*** (2.575) | –0.626 (2.912) | ||
| Predicted probability of SCS | 0.12*** (4.86) | 0.11*** (4.69) | 0.02 (5.23) | 0.01 (4.16) |
| Age | 0.004 (0.010) | 0.004 (0.010) | –0.001 (0.014) | –0.006 (0.011) |
| Education | 0.067*** (0.028) | 0.064*** (0.027) | 0.003 (0.031) | 0.003 (0.025) |
| Farming experience | 0.025 (0.030) | 0.024 (0.029) | –0.043 (0.031) | –0.034 (0.024) |
| Farming experience squared | –0.0003 (0.0005) | –0.0003 (0.0004) | 0.0009* (0.0005) | 0.0007* (0.0004) |
| Household size | –0.286*** (0.116) | –0.273*** (0.113) | –0.085 (0.145) | –0.068 (0.116) |
| Farm size | –0.224 (0.153) | –0.214 (0.146) | –0.023 (0.153) | –0.021 (0.122) |
| Farm income | 0.062 (0.045) | 0.059 (0.042) | 0.015 (0.050) | 0.012 (0.040) |
| Bac Lieu | –1.027** (0.516) | –0.979** (0.496) | –0.130 (0.539) | –0.104 (0.428) |
| Vinh Tranha | –0.883 (0.584) | –0.841 (0.560) | –0.044 (0.644) | –0.035 (0.512) |
| # of observations | 214 21.24 0.019 –242.6 0.04 | 214 5.67 0.84 –232.75 0.02 | ||
| LR chi-squared(10) | ||||
| Prob > chi-squared | ||||
| Log likelihood | ||||
| Pseudo R2 | ||||
| Variable | Farming adaptation strategies (FAS) | |||
|---|---|---|---|---|
| Farm operator | Marginal effects | Spouse | Marginal effects | |
| Constant | –7.007 | –0.626 (2.912) | ||
| Predicted probability of SCS | 0.12 | 0.11 | 0.02 (5.23) | 0.01 (4.16) |
| Age | 0.004 (0.010) | 0.004 (0.010) | –0.001 (0.014) | –0.006 (0.011) |
| Education | 0.067 | 0.064 | 0.003 (0.031) | 0.003 (0.025) |
| Farming experience | 0.025 (0.030) | 0.024 (0.029) | –0.043 (0.031) | –0.034 (0.024) |
| Farming experience squared | –0.0003 (0.0005) | –0.0003 (0.0004) | 0.0009 | 0.0007* (0.0004) |
| Household size | –0.286 | –0.273 | –0.085 (0.145) | –0.068 (0.116) |
| Farm size | –0.224 (0.153) | –0.214 (0.146) | –0.023 (0.153) | –0.021 (0.122) |
| Farm income | 0.062 (0.045) | 0.059 (0.042) | 0.015 (0.050) | 0.012 (0.040) |
| Bac Lieu | –1.027 | –0.979 | –0.130 (0.539) | –0.104 (0.428) |
| Vinh Tranha | –0.883 (0.584) | –0.841 (0.560) | –0.044 (0.644) | –0.035 (0.512) |
| # of observations | 214 | 214 | ||
| LR chi-squared(10) | ||||
| Prob > chi-squared | ||||
| Log likelihood | ||||
| Pseudo | ||||
Notes:
aGiang province is used as a reference in the negative binomial regression; single, double and triple asterisks (*, ** and ***) indicate significance at the 10, 5 and 1 per cent level, respectively; predicted probabilities of SCS is in percentage
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.