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. 2021 Apr 21;7(4):e06789. doi: 10.1016/j.heliyon.2021.e06789

Table 2.

Logit regression model for factors influencing climate change perceptions among smallholder farmers.

Variables (1)
(2)
(3)
Climate has changed
Rainfall decreased
Temperature increased
Odds ratio 95% CI Odds ratio 95% CI Odds ratio 95% CI
Farmer is female (1 = yes) 1.14 [0.55,2.37] 1.24 [0.61,2.53] 1.33 [0.67,2.66]
Age of farmers in years 0.96 [0.81,1.14] 0.88 [0.75,1.04] 1.00 [0.86,1.17]
Age of farmer squared 1.00 [1.00,1.00] 1.00 [1.00,1.00] 1.00 [1.00,1.00]
Farmer is married (1 = yes) 0.75 [0.28,2.03] 0.62 [0.24,1.56] 0.88 [0.37,2.11]
Level of education attained is lower than secondary (1 = yes) 0.80∗ [0.30,2.13] 0.60∗ [0.23,1.56] 0.72∗ [0.30,1.73]
Level of education attained is higher than secondary (1 = yes) 1.66∗ [0.69,4.02] 1.33∗ [0.57,3.09] 2.70∗ [1.19,6.14]
Household size 0.63 [0.24,1.67] 1.17 [0.47,2.92] 0.84 [0.36,1.96]
Not a member of any social group (1 = yes) 2.32∗ [1.10,4.88] 3.24∗∗ [1.57,6.70] 2.03∗ [1.05,3.93]
Land size in acres (log transformed) 2.17 [0.99,4.78] 2.10 [0.98,4.49] 1.74 [0.86,3.52]
Access to agricultural extension (1 = yes) 2.98 [0.97,9.16] 3.68∗ [1.29,10.51] 2.16 [0.85,5.48]
Access to weather and Climate information (1 = yes) 3.50∗∗ [1.57,7.77] 3.17∗∗ [1.42,7.07] 3.15∗∗ [1.41,7.05]
Access to credit facilities (1 = yes) 0.50 [0.22,1.16] 0.40∗ [0.18,0.92] 0.46 [0.21,1.01]
Approximate monthly income in Ksh (log transformed) 0.66∗ [0.47,0.93] 0.66∗ [0.47,0.93] 0.95 [0.70,1.30]
Number of livestock owned 1.10 [0.98,1.23] 1.04 [0.99,1.09] 1.04 [1.00,1.08]
Distance to the nearest market (log transformed) 1.84 [0.69,4.91] 4.37∗∗ [1.63,11.75] 0.99 [0.46,2.15]
Worked with formal institutions in the recent past (1 = yes) 0.62 [0.17,2.23] 0.86 [0.25,2.96] 0.24∗ [0.07,0.83]
Ichuni ward 0.67 [0.26,1.69] 1.22 [0.48,3.06] 0.65 [0.27,1.57]
Gesusu Ward 1.97 [0.77,5.06] 2.73∗ [1.09,6.85] 1.08 [0.47,2.48]
Number of observations 196 196 196

Notes: ∗∗∗Significant at 1% level; ∗∗significant at 5% level; ∗significant at 10% level; Reference categories are as follows ward = Masimba, education = secondary education. Dependent variables are dummy variables measuring climate change perceptions 1(climate change in general), 2(rainfall decreased), and 3(temperature increased), In parenthesis, are 95% Confidence Intervals (CI) for the odds ratios.