growth_list_ind {EconGeo} | R Documentation |
Generate a data frame of industrial growth in regions from multiple regions - industries matrices (same matrix composition for the different periods)
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
growth_list_ind(...)
Arguments
... |
Incidence matrices with regions in rows and industries in columns (period ... - optional) |
Value
A data frame of industrial growth in regions
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_list
, entry_list
, exit_list
Examples
## generate a first region - industry matrix with full count (period 1)
set.seed(31)
mat1 <- matrix(sample(0:10, 20, replace = TRUE), 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_ind(mat1, mat2)
## generate a third region - industry matrix with full count (period 3)
mat3 <- mat2
mat3[5, 2] <- 1
## run the function
growth_list_ind(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_ind(mat1, mat2, mat3, mat4)