Lim_Zhu_2015: Data: Lim and Zhu (2015).

In deaR: Conventional and Fuzzy Data Envelopment Analysis

Data: Lim and Zhu (2015).

Description

Data of 37 R&D project proposal relating to the Turkish iron and steel industry. Authors consider one input and five outputs.

Usage

data("Lim_Zhu_2015")

Format

Data frame with 37 rows and 7 columns. Definition of inputs (X) and outputs (Y):

x1 = Budget

Budget

y1 = Indirect_economic

Indirect economic contribution

y2 = Direct_economic

Direct economic contribution

y3 = Technical

Technical contribution

y4 = Social

Social contribution

y5 = Scientific

Scientific contribution

Author(s)

Vicente Coll-Serrano ([e-mail]). Quantitative Methods for Measuring Culture (MC2). Applied Economics.

Vicente Bolos ([e-mail]). Department of Business Mathematics

Rafael Benitez ([e-mail]). Department of Business Mathematics

University of Valencia (Spain)

Source

Lim, S.; Zhu, J. (2015). "DEA Cross-Efficiency Under Variable Returns to Scale". Journal of Operational Research Society, 66(3), p. 476-487. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1057/jors.2014.13")}

See Also

make_deadata, model_multiplier, cross_efficiency

Examples

# Example. Arbitrary formulation.
# Input-oriented model under variable returns-to-scale.
data("Lim_Zhu_2015")
data_example <- make_deadata(Lim_Zhu_2015,
                             dmus = 1,
                             ni = 1,
                             no = 5)
cross <- cross_efficiency(data_example,
                          epsilon = 0,
                          orientation = "io",
                          rts = "vrs",
                          selfapp = TRUE,
                          M2 = FALSE,
                          M3 = FALSE)
cross$Arbitrary$e

deaR documentation built on May 2, 2023, 5:13 p.m.