esi: Environmental Sustainability Index 2005

Description

This data set comes from the 2005 Environmental Sustainability Index: Benchmarking National Environmental Stewardship. Countries are given an overall sustainability score as well as scores in each of several different environmental areas.

Usage

esi

Arguments

Format

A data frame with 146 observations on the following 29 variables.

code: ISO3 country code.
country: Country.
esi: Environmental Sustainability Index.
system: ESI core component: systems
stress: ESI core component: stresses
vulner: ESI core component: vulnerability
cap: ESI core component: capacity
global: ESI core component: global stewardship
sys_air: Air quality.
sys_bio: Biodiversity.
sys_lan: Land.
sys_wql: Water quality.
sys_wqn: Water quantity.
str_air: Reducing air pollution.
str_eco: Reducing ecosystem stress.
str_pop: Reducing population pressure.
str_was: Reducing waste and consumption pressures.
str_wat: Reducing water stress.
str_nrm: Natural resource management.
vul_hea: Environmental health.
vul_sus: Basic human sustenance.
vul_dis: Exposure to natural disasters.
cap_gov: Environmental governance.
cap_eff: Eco-efficiency.
cap_pri: Private sector responsiveness.
cap_st: Science and technology.
glo_col: Participation in international collaboration efforts.
glo_ghg: Greenhouse gas emissions.
glo_tbp: Reducing transboundary environmental pressures.

Details

ESI and Component scores are presented as standard normal percentiles. Indicator scores are in the form of z-scores. See Appendix A of the report for information on the methodology and Appendix C for more detail on original data sources.

For more information on how each of the indices were calculated, see the documentation linked below.

References

Esty, Daniel C., Marc Levy, Tanja Srebotnjak, and Alexander de Sherbinin (2005). 2005 Environmental Sustainability Index: Benchmarking National Environmental Stewardship. New Haven: Yale Center for Environmental Law and Policy

Examples

Run this code


library(ggplot2)

ggplot(esi, aes(x = cap_st, y = glo_col)) +
  geom_point(color = ifelse(esi$code == "USA", "red", "black")) +
  geom_text(
  aes(label = ifelse(code == "USA", as.character(code), "")),
    hjust = 1.2, color = "red"
    ) +
  labs(x = "Science and technology", y = "Participation in international collaboration efforts")

ggplot(esi, aes(x = vulner, y = cap)) +
  geom_point(color = ifelse(esi$code == "USA", "red", "black")) +
  geom_text(
    aes(label = ifelse(code == "USA", as.character(code), "")),
    hjust = 1.2, color = "red"
    ) +
  labs(x = "Vulnerability", y = "Capacity")

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