
doi: 10.2307/1239559
AbstractApplication of the translog profit function to farm‐level data from Punjab, India, allowed a more disaggregated analysis of the farm production structure compared to the case of Cobb‐Douglas formulation. The flexibility afforded by translog formulation permitted measurement of the different impacts that exogenous variables have within and across input demand and output supply functions. Policy‐relevant elasticity estimates with respect to variable inputs and output prices, fixed inputs, a few soil‐related “state‐of‐nature” variables measured by soil analysis, and education, which are usually considered constraints to farm production, were obtained, and two examples of policy applications were developed.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 59 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
