Research Article

Smallholder Coffee Productivity as Affected by Socioeconomic Factors and Technology Adoption

Table 6

Multiple regression for socioeconomic and technical factors affecting coffee productivity.

Dependent var. (output)BetaSEtSigVIF

Constant4.9240.6187.9720.001
Gender of the farmer0.0460.0621.3560.1781.376
Age of the farmer (years)−0.0310.037−0.7680.4441.883
Level of education−0.0290.037−0.8030.4231.539
Farming experience (years)0.0160.0440.4380.6621.575
Household size (number)0.0120.0420.3520.7251.398
Off-farm income0.0800.0642.2230.0281.539
Land ownership (tenure)0.0910.0472.5790.0111.477
Access to extension services−0.0460.0721.3830.1691.321
Land size (acres)0.3530.0467.5210.0012.631
Credit access (yes = 1; no = 0)0.0740.0542.1970.0301.341
Fertilizer rate0.0690.0461.9550.0531.472
Manure rate0.1960.0685.5800.0011.474
Fungicide rate0.1180.0612.6190.0102.409
Pesticide rate0.0880.0402.5430.0121.432
Variety adoption−0.0170.044-0.5270.6001.290
Coffee spacing0.0010.0440.0450.9641.224
Pruning0.0120.1790.3860.7001.185
Capping−0.0150.064-0.4530.6511.267
Heads per stem−0.0220.045-0.6540.5151.359

Highlighted factors were significant at 1% and 5%