ellison.c {REAT} | R Documentation |
Ellison-Glaeser Coagglomeration Index
Description
Calculating the Coagglomeration Index by Ellison and Glaeser for one set of U
industries
Usage
ellison.c(e_ik, industry, region, e_j = NULL, c.industries = NULL)
Arguments
e_ik |
a numeric vector containing the no. of employees of firm |
industry |
a vector containing the IDs/names of the industries |
region |
a vector containing the IDs/names of the regions |
e_j |
a numeric vector containing the total employment of the regions |
c.industries |
optional: a vector containing the regarded |
Details
The Ellison-Glaeser Coagglomeration Index is not standardized. A value of \gamma_c = 0
indicates a spatial distribution of firms equal to a dartboard approach. Values below zero indicate spatial dispersion, values greater than zero indicate clustering.
Value
A single value of \gamma_c
Author(s)
Thomas Wieland
References
Ellison G./Glaeser, E. (1997): “Geographic concentration in u.s. manufacturing industries: A dartboard approach”. In: Journal of Political Economy, 105, 5, p. 889-927.
Farhauer, O./Kroell, A. (2014): “Standorttheorien: Regional- und Stadtoekonomik in Theorie und Praxis”. Wiesbaden : Springer.
Nakamura R./Morrison Paul, C. (2009): “Measuring agglomeration”. In: Capello, R./Nijkamp, P. (eds): Handbook of Regional Growth and Development Theories, p. 305-328.
See Also
ellison.a
, ellison.a2
, ellison.c2
, gini.conc
, gini.spec
, locq
, locq2
, howard.cl
, howard.xcl
, howard.xcl2
, litzenberger
, litzenberger2
Examples
# Example from Farhauer/Kroell (2014):
data(FK2014_EGC)
ellison.c(FK2014_EGC$emp_firm, FK2014_EGC$industry,
FK2014_EGC$region, FK2014_EGC$emp_region)