krugman.conc {REAT} | R Documentation |
Calculating the Krugman coefficient for the spatial concentration of two industries based on regional industry data (normally employment data)
krugman.conc(e_ij, e_uj)
e_ij |
a numeric vector with the employment of the industry |
e_uj |
a numeric vector with the employment of the industry |
The Krugman coefficient of industry concentration (K_{iu}
) is a measure for the dissimilarity of the spatial structure of two industries (i
and u
) regarding the employment in the j
regions. The coefficient K_{iu}
varies between 0 (no concentration/same structure) and 2 (maximum difference, that means a complete other spatial structure of the industry compared to the others). The calculation is based on the formulae in Farhauer/Kroell (2013).
A single numeric value (0 < K_{iu} < 2
)
Thomas Wieland
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.
gini.conc
, gini.spec
, krugman.conc2
, krugman.spec
, krugman.spec2
, locq
E_ij <- c(4388, 37489, 129423, 60941)
E_uj <- E_ij/2
krugman.conc(E_ij, E_uj)
# exactly the same structure (= no concentration)