The results of the model (Table 7) are statistically significant with an adjusted square value of 0.435, meaning that 44% of the variation in crop yield is explained by the linear regression model. Transport price showed a negative relationship with crop yield with an elasticity of -0.291, implying that a one percent reduction in the transport price is associated with an increase in the crop yield by 0.291%. These results corresponded well with the results suggested by Hine and Ellis (2001) which showed that a 20% reduction in transport cost, fully passed on to farmers, will raise the agricultural output by 6%, or stated differently, that a one percent reduction in the transport cost will raise the agricultural output by 0.3%. Table 7: Crop yield, regression model results Adjusted variable: Significant Coefficients R ln(Crop F (Constant) 7.559 .000 .000 .435 -.291 .000 ln(Market crop .056 .462 ln(quantity of input per .080 .008 acre) ln(Distance from the -.014 .684 farm to the road – ln(Distance from the farm to the .058 .235 local market – km) ln(Distance crop .161 .002 to market for selling km) – Dummy -.497 .054 (Beans) Dummy (Chick -1.427 .110 Peas) Dummy -.431 .072 (Cotton) Dummy (Cow -.171 .791 Peas) (Green -1.876 .000 Gram) Dummy -.596 .040 .503 .019 (Maize)
The results of the model (Table 7) are statistically significant with an adjusted value of 0.435, meaning that 44% of the variation in crop yield is explained by the linear regression model. Transport price showed a negative relationship with crop yield with an elasticity of -0.291, implying that a one percent reduction in the transport price is associated with an increase in the crop yield by 0.291%. These results corresponded well with the results suggested by Hine and Ellis (2001) which showed that a 20% reduction in transport cost, fully passed on to farmers, will raise the agricultural output by 6%, or stated differently, that a one percent reduction in the transport cost will raise the agricultural output by 0.3%. Table 7: Crop yield, regression model results variable: ln(Crop Coefficients Significant F Adjusted R square (Constant) 7.559 .000 .000 .435 -.291 .000 ln(Market crop .056 .462 ln(quantity of input per acre) .080 .008 ln(Distance from the farm to the road – -.014 .684 ln(Distance from the farm to the local market – km) .058 .235 ln(Distance crop to market for selling – km) .161 .002 Dummy (Beans) -.497 .054 Dummy (Chick Peas) -1.427 .110 Dummy (Cotton) -.431 .072 Dummy (Cow Peas) -.171 .791 (Green Gram) -1.876 .000 Dummy -.596 .040 (Maize) .503 .019
1b_fungo_the-role-of-road-infrastructure-in--agricultural-production.docx