README.md

In kkyusik/IndVariety: A Package for Calculation of Industrial Variety.

IndVariety

Industrial variety

Related variety of regional industry can be Jacobs externalities, which means knowledge spillovers between related corporations or industries. In contrast, the unrelated variety that means the extent of dissimilarity within industries in a given region, which addresses the effects of a portfolio, in fact, the higher unrelated variety means the stronger from external economic shocks.

Each variety is calculated from the entropy index. The advantage of using entropy index is that the index cannot cause multicollinearity in linear regression model (Frenken, Van Oort, and Verburg 2007). To calculate related and unrelated variety I refer to the research of (Frenken, Van Oort, and Verburg 2007).

Install package

remotes::install_github("kkyusik/IndVariety")

Usage

UV(data, year)
RV(data, year)
employee_number(data, year)

Parameters

data is dataframe of Korean Business Survey data. You are able to download the data from Microdata Integrated Service. year indicates what you want to calculate year of data.

Example

library(IndVariety)

# Load dataframe
data <- read.table("your data", colClasses = "character")

# Calculation Unrelated Variety
UV(data = data, year = 2013)

# Calculation Related Variety
RV(data = data, year = 2013)

# Calculation the number of total workers
employee_number(data = data, year = 2013)

Reference

Frenken, Koen, Frank Van Oort, and Thijs Verburg. 2007. “Related Variety, Unrelated Variety and Regional Economic Growth.” *Regional Studies* 41 (5): 685–97.

kkyusik/IndVariety documentation built on May 10, 2019, 1:23 p.m.