REAT (version 1.2.1)

hoover: Hoover Concentration Index

Description

Calculating the Hoover Concentration Index with respect to regional income (e.g. GDP) and population

Usage

hoover(inc, pop = NULL)

Arguments

inc

A numeric vector (dataset of regional income, e.g. GDP)

pop

A numeric vector (dataset of regional population). If pop = NULL, the shares of income are compared with the shares of regions ($1/n$)

Value

A single numeric value of the Hoover Concentration Index ($0 < CI < 1$).

Details

The Hoover Concentration Index ($CI$) measures the economic concentration of income across space by comparing the share of income (e.g. GDP - Gross Domestic Product) with the share of population. The index varies between 0 (no inequality/concentration) and 1 (complete inequality/concentration).

References

Huang, Y./Leung, Y. (2009): “Measuring Regional Inequality: A Comparison of Coefficient of Variation and Hoover Concentration Index”. In: In: The Open Geography Journal, 2, p. 25-34.

See Also

cv, gini, herf

Examples

# Regional disparities in Germany:
gdp <- c(460.69, 549.19, 124.16, 65.29, 31.59, 109.27, 263.44, 39.87, 258.53, 
645.59, 131.95, 35.03, 112.66, 56.22, 85.61, 56.81)
# GDP of german regions 2015 (in billion EUR)
pop <- pop <- c(10879618, 12843514, 3520031, 2484826, 671489, 1787408, 6176172, 
1612362, 7926599, 17865516, 4052803, 995597, 4084851, 2245470, 2858714, 2170714)
# population of german regions 2015
hoover(gdp, pop)