Research Article
Effects of Climate Finance on Risk Appraisal: A Study in the Southwestern Coast of Bangladesh
Table 10
Multiple linear regression results for CF and non-CF models for overall risk appraisal.
| Independent variables | CF | Non-CF | Parameter estimate | Standard error | value | Parameter estimate | Standard error | value |
| HH size | 6.251 | 2.387 | 0.009 | — | — | — | Income | −0.003 | <0.001 | 0.002 | −0.004 | 0.002 | 0.023 | Immobile assets | 8.169 | 1.438 | <0.001 | 8.649 | 2.165 | <0.001 | Productive assets (livestock, etc.) | 1.882 | 0.921 | 0.042 | 3.310 | 1.210 | 0.007 | Participation in self-help groups, producer group, DMC, cooperatives | −14.806 | 4.029 | <0.001 | — | — | — | SISCH: information on climate change from social circle, i.e., relatives/neighbours/friends/community | — | — | — | −7.285 | 2.815 | 0.011 | Support from social safety net | 23.182 | 7.411 | 0.002 | 21.881 | 8.385 | 0.010 | Monetary/in-kind support from social circle (relatives, friends, neighbours, self-help groups) for adaptation responses | −15.206 | 7.325 | 0.039 | — | — | — | Financial support from govt. for adaptation responses | 18.830 | 7.547 | 0.016 | — | — | — | Financial support from NGOs (cash, materials, labour costs, advisory services) for adaptation responses | — | — | — | 39.503 | 13.963 | 0.006 |
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