摘要
In Pakistan, maize accounts for 5.93 percent of the total cropped area and 4.82 percent of the value of agricultural production. Given high cost of the production, there is a belief that it is difficult to boost profitability without enhancing use of pricey inputs. Maximum likelihood estimates of stochastic frontier model were estimated and determinants of technical efficiency were calculated. Using Cobb Douglas model estimated maximum likelihood coefficients for all inputs were significant and showed signs according to expectations. The evaluation with the different models gives different technical efficiencies, which shows that technical efficiency estimations are extremely sensitive to the functional form specified.
In Pakistan, maize accounts for 5.93 percent of the total cropped area and 4.82 percent of the value of agricultural production. Given high cost of the production, there is a belief that it is difficult to boost profitability without enhancing use of pricey inputs. Maximum likelihood estimates of stochastic frontier model were estimated and determinants of technical efficiency were calculated. Using Cobb Douglas model estimated maximum likelihood coefficients for all inputs were significant and showed signs according to expectations. The evaluation with the different models gives different technical efficiencies, which shows that technical efficiency estimations are extremely sensitive to the functional form specified.