Table 3.

Adoption of bundled climate information service–climate-smart agriculture technology in Northern Ghana

CSA practicesCorrelation coefficientsStandard error
ENH vs ORG−0.07960.1315
PS vs ORG0.3553***0.1332
PD vs ORG−0.6791***0.2410
LEG vs ORG−0.039800.1112
MIN vs ORG−0.15940.1214
WTM vs ORG−0.6823***0.1605
PS vs ENH0.07950.1413
PD vs ENH−0.4136**0.1838
LEG vs ENH0.16570.1309
MIN vs ENH0.06060.1327
WTM vs ENH−0.2775*0.1511
PD vs PS−0.07570.1618
LEG vs PS−0.06990.1104
MIN vs PS−0.3434**0.1416
WTM vs PS−0.2647*0.1452
LEG vs PD−0.04260.1040
MIN vs PD0.02270.1388
WTM vs PD0.5754***0.1680
MIN vs LEG−0.2346**0.1105
WTM vs LEG−0.06330.1202
WTM vs MIN0.2846**0.1422

Note(s):Joint significant test of the independent equations: chi2 (21) = 73.8245; Prob > chi2 = 0.000; ***p < 0.001; ***, ** and *represent the significant level at 1, 5 and 10%, respectively; ORG = Organic amendment to improve soil health; ENH = Enhancing access to climate information; PS = Promotion of stress (drought, early maturing, striga and low N) tolerant to improve maize, cowpea and potato; PD = Promotion of disease- and pest-tolerant maize and cowpea varieties; LEG = Leguminous crop as the previous crop; MIN = Minimum tillage for maize, cowpea and vegetable production; and WTM = Water management (mulching)

Source(s): Authors’ Estimation (2023)

or Create an Account

Close subscription notice
Close access options