ellison.c: Ellison-Glaeser Coagglomeration Index

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Calculating the Coagglomeration Index by Ellison and Glaeser for one set of U industries

Usage

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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 k from industry i

industry

a vector containing the IDs/names of the industries i

region

a vector containing the IDs/names of the regions j

e_j

a numeric vector containing the total employment of the regions j

c.industries

optional: a vector containing the regarded U industries (where U ≤ I)

Details

The Ellison-Glaeser Coagglomeration Index is not standardized. A value of γ_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 γ_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

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# Example from Farhauer/Kroell (2014):
data(FK2014_EGC)

ellison.c(FK2014_EGC$emp_firm, FK2014_EGC$industry, 
FK2014_EGC$region, FK2014_EGC$emp_region)

Example output

[1] 12.0729

REAT documentation built on Nov. 21, 2019, 5:08 p.m.