location.quotient.avg: Compute average location quotients of regions from regions -...

In PABalland/EconGeo: Computing Key Indicators of the Spatial Distribution of Economic Activities

Compute average location quotients of regions from regions - industries matrices

Description

This function computes the average location quotients of regions from (incidence) regions - industries matrices. This index is also referred to as the coefficient of specialization (Hoover and Giarratani, 1985).

Usage

location.quotient.avg(mat)

Arguments

mat	An incidence matrix with regions in rows and industries in columns

Author(s)

Pierre-Alexandre Balland [e-mail]

References

Hoover, E.M. and Giarratani, F. (1985) An Introduction to Regional Economics. 3rd edition. New York: Alfred A. Knopf

Boschma, R., Balland, P.A. and Kogler, D. (2015) Relatedness and Technological Change in Cities: The rise and fall of technological knowledge in U.S. metropolitan areas from 1981 to 2010, Industrial and Corporate Change 24 (1): 223-250

See Also

location.quotient, Hachman

Examples

## 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
location.quotient.avg (mat)

PABalland/EconGeo documentation built on Jan. 5, 2023, 8:40 a.m.