ellison.c2: 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 IxI sets of two industries

Usage

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ellison.c2(e_ik, industry, region, e_j = NULL, print.results = TRUE)

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

print.results

logical argument that indicates whether the results are printed or not (for internal use)

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.c, 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.c2(FK2014_EGC$emp_firm, FK2014_EGC$industry, 
FK2014_EGC$region, FK2014_EGC$emp_region)
# this may take a while

Example output

Ellison-Glaeser Co-Agglomeration Index 
K = 42 firms, I = 4 industries, J = 3 regions 

                                Gamma c
Forestry-Clothing trade        1.382257
Textiles dyeing-Clothing trade 2.465609
Textiles trade-Clothing trade  2.067766
Clothing trade-Forestry        1.382257
Textiles dyeing-Forestry       1.570292
Textiles trade-Forestry        1.336020
Clothing trade-Textiles dyeing 2.465609
Forestry-Textiles dyeing       1.570292
Textiles trade-Textiles dyeing 2.294259
Clothing trade-Textiles trade  2.067766
Forestry-Textiles trade        1.336020
Textiles dyeing-Textiles trade 2.294259

REAT documentation built on Sept. 5, 2021, 5:18 p.m.