locational.Gini: Compute the locational Gini coefficient from regions -...

Description Usage Arguments Author(s) References See Also Examples

Description

This function computes the locational Gini coefficient as proposed by Krugman from regions - industries matrices. The higher the coefficient (theoretical limit = 0.5), the greater the industrial concentration. The locational Gini of an industry that is not localized at all (perfectly spread out) in proportion to overall employment would be 0.

Usage

1

Arguments

mat

An incidence matrix with regions in rows and industries in columns

Author(s)

Pierre-Alexandre Balland p.balland@uu.nl

References

Krugman P. (1991) Geography and Trade, MIT Press, Cambridge (chapter 2 - p.56)

See Also

Hoover.Gini, locational.Gini.curve, Hoover.curve, Lorenz.curve, Gini

Examples

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## generate a region - industry matrix
mat = matrix (
c (100, 0, 0, 0, 0,
0, 15, 5, 70, 10,
0, 20, 10, 20, 50,
0, 25, 30, 5, 40,
0, 40, 55, 5, 0), ncol = 5, byrow = T)
rownames(mat) <- c ("R1", "R2", "R3", "R4", "R5")
colnames(mat) <- c ("I1", "I2", "I3", "I4", "I5")

## run the function
locational.Gini (mat)

PABalland/EconGeo documentation built on Nov. 13, 2020, 2:50 a.m.