litzenberger {REAT} | R Documentation |
Litzenberger-Sternberg Cluster Index
Description
Calculating the Cluster Index by Litzenberger and Sternberg
Usage
litzenberger(e_ij, e_i, a_j, a, p_j, p, b_ij, b_i)
Arguments
e_ij |
a single numeric value with the employment of industry |
e_i |
a single numeric value with the over-all employment in industry |
a_j |
a single numeric value of the area of region j |
a |
a single numeric value of the total area |
p_j |
a single numeric value of the population of region j |
p |
a single numeric value of the total population |
b_ij |
a single numeric value of the number of firms of industry |
b_i |
a single numeric value of the total number of firms of industry |
Details
The Litzenberger-Sternberg Cluster Index is not standardized and depends on the number of regarded industries and regions.
Value
A single numeric value of (CI
).
Author(s)
Thomas Wieland
References
Farhauer, O./Kroell, A. (2014): “Standorttheorien: Regional- und Stadtoekonomik in Theorie und Praxis”. Wiesbaden : Springer.
Hoffmann J./Hirsch, S./Simons, J. (2017): “Identification of spatial agglomerations in the German food processing industry”. In: Papers in Regional Science, 96, 1, p. 139-162.
Litzenberger, T./Sternberg, R. (2006): “Der Clusterindex - eine Methodik zur Identifizierung regionaler Cluster am Beispiel deutscher Industriebranchen”. In: Geographische Zeitschrift, 94, 2, p. 209-224.
See Also
litzenberger2
, gini.conc
, gini.spec
, locq
, locq2
, ellison.a
, ellison.a2
, ellison.c
, ellison.c2
Examples
# Example from Farhauer/Kroell (2014):
litzenberger(e_ij = 1743, e_i = 5740, a_j = 50,
a = 576, p_j = 488, p = 4621, b_ij = 35, b_i = 53)
# 21.87491