MPI model to calculate MPI, Technical change, Efficiency change and Scale efficiency change.
MPI(Dataset = Dataset, DMU_colName = DMU_colName, IP_colNames = IP_colNames,
OP_ColNames = OP_ColNames, Period_ColName = Period_ColName, Periods = Periods,
rts = "crs", orientation = "input", scale = FALSE)DMUs
The efficiencies for period 1 with reference technology from period 1 for crs returns to scale. Note: available if returns to scale is crs or scale is TRUE.
The efficiencies for period 2 with reference technology from period 2 for crs returns to scale. Note: available if returns to scale is crs or scale is TRUE.
The efficiencies for period 2 with reference technology from period 1 for crs returns to scale. Note: available if returns to scale is crs or scale is TRUE.
The efficiencies for period 1 with reference technology from period 2 for crs returns to scale. Note: available if returns to scale is crs or scale is TRUE.
The efficiencies for period 1 with reference technology from period 1 for vrs returns to scale. Note: available if returns to scale is vrs.
The efficiencies for period 2 with reference technology from period 2 for vrs returns to scale. Note: available if returns to scale is vrs.
The efficiencies for period 2 with reference technology from period 1 for vrs returns to scale. Note: available if returns to scale is vrs.
The efficiencies for period 1 with reference technology from period 2 for vrs returns to scale. Note: available if returns to scale is vrs
First componenet of the scale efficiency change. (et1t2.crs/et1t2.vrs)/(et1t1.crs/et1t1.vrs)
Second componenet of the scale efficiency change.(et2t2.crs/et2t2.vrs)/(et2t1.crs/et2t1.vrs)
Scale efficiency change. (sec1 * sec2) ^ 0.5
First component of technical change. For crs, (et1t2.crs/et2t2.crs) and (et1t2.vrs/et2t2.vrs) for vrs.
Second component of technical change. For crs, (et1t1.crs/et2t1.crs) and (et1t1.vrs/et2t1.vrs) for vrs.
Technical change. (tc1 * tc2) ^ 0.5
Efficiency change. Note: tec for crs and ptec for vrs returns to scale.
Malmquist Productivity index for the DMUs and periods.
Time period underconsideration for MPI.
The data required for the model.
Column name for the DMUs in the dataset.
Column name(s) for all input data in the dataset.
Column name(s) for all output data in the dataset.
Column name for the period number in the dataset.
Unique periods numbers in the dataset in ascending order.
Returns to scale for the application, or industry studied. Note the default rts is crs. vrs Variable returns to scale. crs Constant returns to scale.
Orientation of the DEA model - primary emphasis on input-reduction input or output-augmentation output. Note the default is input orientation.
Note default value is FALSE.
Rolf, Fare; Grosskopf, Shawna; Norris, Mary and Zhang, Zhongyang (1994) Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries, The American Economic Review Vol. 84, No. 1, pp. 66-83.
da_f <- data.frame(x= c(11, 29, 31, 61, 13, 27, 17, 61), y=c(6, 8, 11, 16, 7, 9, 10, 16),
d= c(1,2,3,4, 1,2,3,4), p=c(1,1,1,1,2,2,2,2))
mpi_r <- MPI(Dataset = da_f, DMU_colName = "d", IP_colNames = "x", OP_ColNames = "y",
Period_ColName = "p", Periods = c(1,2),rts = "vrs", orientation = "input", scale = TRUE)
# Examine the MPI for DMUs
mpi_r$m.vrs
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