krugman.spec2 {REAT} | R Documentation |
Krugman coefficient of regional specialization for more than two regions
Description
Calculating the Krugman coefficient for the specialization of one region based on regional industry data (normally employment data) compared with a vector of other regions
Usage
krugman.spec2(e_ij, e_il)
Arguments
e_ij |
a numeric vector with the employment of the industries |
e_il |
a data frame with the employment of the industries |
Details
The Krugman coefficient of regional specialization (K_{jl}
) is a measure for the dissimilarity of the industrial structure of regions (j
and other regions, l
) regarding the employment in the i
industries in these regions. The coefficient K_{jl}
varies between 0 (no specialization/same structure) and 2 (maximum difference, that means there is no single industry localized in both regions).
Value
A single numeric value (0 < K_{jl} < 2
)
Author(s)
Thomas Wieland
References
Farhauer, O./Kroell, A. (2013): “Standorttheorien: Regional- und Stadtoekonomik in Theorie und Praxis”. Wiesbaden : Springer.
Nakamura, R./Morrison Paul, C. J. (2009): “Measuring agglomeration”. In: Capello, R./Nijkamp, P. (eds.): Handbook of Regional Growth and Development Theories. Cheltenham: Elgar. p. 305-328.
See Also
gini.conc
, gini.spec
, krugman.spec
, krugman.conc
, krugman.conc2
, locq
Examples
# Example from Farhauer/Kroell (2013):
Sweden <- c(45000, 15000, 32000, 10000, 30000)
Norway <- c(35000, 12000, 30000, 8000, 22000)
Denmark <- c(40000, 10000, 25000, 9000, 18000)
Finland <- c(30000, 11000, 18000, 3000, 13000)
Island <- c(40000, 6000, 11000, 2000, 12000)
# industry jobs in five industries for five countries
countries <- data.frame(Norway, Denmark, Finland, Island)
# data frame with all comparison countries
krugman.spec2(Sweden, countries)
# returns the Krugman coefficient for the specialization
# of sweden compared to Norway, Denmark, Finland and Island
# 0.1595