This study provides estimates of smallholder household＇s production efficiency and its determinants, and separately analyses the technical efficiency of dairy technology adopting and non-adopting farmers using data f...This study provides estimates of smallholder household＇s production efficiency and its determinants, and separately analyses the technical efficiency of dairy technology adopting and non-adopting farmers using data from Ethiopia. Cobb-Douglas stochastic frontier production function was modeled in the context of local level agricultural innovation systems framework and estimated using 2011 milk production data on 304 dairy farmers. Results show that the mean level of technical efficiency among the sampled farmers was about 26%. This result suggests that there is room for significant increases of production through reallocation of existing resources. Despite significant variation among farmers, these results also indicate only 19% of farmers have mean efficiency scores （_〉 50%）, implying a need to focus on creating innovation capacity that pushes the production frontier outward in the dairy production system. It is also revealed that individual farm households＇ efficiency varied widely across dairy technology adoption status, gender and districts. The significant gamma （g） statistic, of 0.9985 in the analysis indicates that about 99.85% variation in the output of milk production would be attributed to technical inefficiency effects （those under farmer＇s control） while only 0.0015% would be due to random effects, i.e., beyond the farmers control and hence calling for a focus on efficiency enhancing investments. Education, farm size, extension visit and off-farm income opportunity were found to be efficiency enhancing. The study recommends that different components of an agricultural innovation system have to interact to improve the innovation capacity of different actors and thereby improve the estimated technical inefficiencies.展开更多
Elasticity of substitution is traditionally estimated while ignoring technical and allocative inefficiencies,which could bias the estimates.We estimate elasticity of substitution for Chinese energy-intensive sectors b...Elasticity of substitution is traditionally estimated while ignoring technical and allocative inefficiencies,which could bias the estimates.We estimate elasticity of substitution for Chinese energy-intensive sectors by incorporating these inefficiencies.The results show most of the sectors are low substitutes between input factors and stress important differences among energy-intensive sectors.Concerning the cross-price elasticity for energy,with respect to capital(labor),the sectors are mainly characterized by weak substitutability or complementary.These imply the production structure is quite rigid and capital cannot be so readily used as a substitute for energy.展开更多
文摘This study provides estimates of smallholder household＇s production efficiency and its determinants, and separately analyses the technical efficiency of dairy technology adopting and non-adopting farmers using data from Ethiopia. Cobb-Douglas stochastic frontier production function was modeled in the context of local level agricultural innovation systems framework and estimated using 2011 milk production data on 304 dairy farmers. Results show that the mean level of technical efficiency among the sampled farmers was about 26%. This result suggests that there is room for significant increases of production through reallocation of existing resources. Despite significant variation among farmers, these results also indicate only 19% of farmers have mean efficiency scores （_〉 50%）, implying a need to focus on creating innovation capacity that pushes the production frontier outward in the dairy production system. It is also revealed that individual farm households＇ efficiency varied widely across dairy technology adoption status, gender and districts. The significant gamma （g） statistic, of 0.9985 in the analysis indicates that about 99.85% variation in the output of milk production would be attributed to technical inefficiency effects （those under farmer＇s control） while only 0.0015% would be due to random effects, i.e., beyond the farmers control and hence calling for a focus on efficiency enhancing investments. Education, farm size, extension visit and off-farm income opportunity were found to be efficiency enhancing. The study recommends that different components of an agricultural innovation system have to interact to improve the innovation capacity of different actors and thereby improve the estimated technical inefficiencies.
基金financial support provided by the China Natural Science Funding:[Grant Number71673134]sponsored by Qing Lan Project and the Fundamental Research Funds for the Central Universities:[Grant Number NJ20150035]
文摘Elasticity of substitution is traditionally estimated while ignoring technical and allocative inefficiencies,which could bias the estimates.We estimate elasticity of substitution for Chinese energy-intensive sectors by incorporating these inefficiencies.The results show most of the sectors are low substitutes between input factors and stress important differences among energy-intensive sectors.Concerning the cross-price elasticity for energy,with respect to capital(labor),the sectors are mainly characterized by weak substitutability or complementary.These imply the production structure is quite rigid and capital cannot be so readily used as a substitute for energy.
