| EconomyLong {deaR} | R Documentation |
Data: Wang and Lan (2011).
Description
Data of the industrial economy of China in 2005-2009 (data in long format).
Usage
data("EconomyLong")
Format
Data frame with 155 rows and 5 columns. Definition of inputs (X) and outputs (Y):
- x1 = Capital
Total assets (in 100 million RMB)
- x2 = Labor
Annual average employed persons (in 10000 persons)
- y1 = GIOV
Gross industrial output value (in 100 million RMB)
Author(s)
Vicente Coll-Serrano (vicente.coll@uv.es). Quantitative Methods for Measuring Culture (MC2). Applied Economics.
Vicente Bolos (vicente.bolos@uv.es). Department of Business Mathematics
Rafael Benitez (rafael.suarez@uv.es). Department of Business Mathematics
University of Valencia (Spain)
Source
Wang, Y.; Lan, Y. (2011). "Measuring Malmquist Productiviy Index: A New Approach Based on Double Frontiers Data Envelopment Analysis". Mathematical and Computer Modelling, 54, 2760-2771. doi:10.1016/j.mcm.2011.06.064
See Also
make_malmquist, malmquist_index
Examples
# Example. Data in long format.
# Replication of results in Wang and Lan (2011, p. 2768)
data("EconomyLong")
data_example <- make_malmquist(EconomyLong,
percol = 2,
arrangement = "vertical",
ni = 2,
no = 1)
result <- malmquist_index(data_example)