growth.list: Generate a data frame of industrial growth in regions from...

Description Usage Arguments Author(s) References See Also Examples

Description

This function generates a data frame of industrial growth in regions from multiple regions - industries matrices (same matrix composition for the different periods). In this function, the maximum number of periods is limited to 20.

Usage

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growth.list(mat1, mat2, mat3, mat4, mat5, mat6, mat7, mat8, mat9, mat10, mat11,
  mat12, mat13, mat14, mat15, mat16, mat17, mat18, mat19, mat20)

Arguments

mat1

An incidence matrix with regions in rows and industries in columns (period 1 - mandatory)

mat2

An incidence matrix with regions in rows and industries in columns (period 2 - mandatory)

mat...

An incidence matrix with regions in rows and industries in columns (period ... - optional)

Author(s)

Pierre-Alexandre Balland p.balland@uu.nl

References

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

Boschma, R., Heimeriks, G. and Balland, P.A. (2014) Scientific Knowledge Dynamics and Relatedness in Bio-Tech Cities, Research Policy 43 (1): 107-114

See Also

growth, exit, exit.list

Examples

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## generate a first region - industry matrix with full count (period 1)
set.seed(31)
mat1 <- matrix(sample(0:10,20,replace=T), ncol = 4)
rownames(mat1) <- c ("R1", "R2", "R3", "R4", "R5")
colnames(mat1) <- c ("I1", "I2", "I3", "I4")

## generate a second region - industry matrix with full count (period 2)
mat2 <- mat1
mat2[3,1] <- 8

## run the function
growth.list (mat1, mat2)

## generate a third region - industry matrix with full count (period 3)
mat3 <- mat2
mat3[5,2] <- 1

## run the function
growth.list (mat1, mat2, mat3)

## generate a fourth region - industry matrix with full count (period 4)
mat4 <- mat3
mat4[5,4] <- 1

## run the function
growth.list (mat1, mat2, mat3, mat4)

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