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{{Short description|Climate Index}} | {{Short description|Climate Index}} | ||
] | ] | ||
The '''Environmental Performance Index''' ('''EPI''') is a method of quantifying and numerically marking the ] performance of a state's policies. |
The '''Environmental Performance Index''' ('''EPI''') is a method of quantifying and numerically marking the ] performance of a state's policies, highlightning the degradation of the planet's life-supporting systems on which humanity depends. A world economy that continues to rely heavily on fossil fuels translates into ongoing air and water pollution, acidification of the oceans, and rising concentrations of greenhouse gases in the atmosphere. These changes threaten the survival of species already suffering from widespread habitat loss, pushing them closer to extinction. Recent analyses show that humanity has already transgressed six out of nine critical planetary boundaries that define Earth's safe operating space — and is close to crossing a seventh. | ||
The |
The Environmental Performance Index (EPI) was started in 2002 by ] in association with the ] (]) and ] (]). The biennial EPI report harnesses the latest data sets, science, and technology to provide the most comprehensive assessment of the state of ] around the world. In total, the 2024 EPI report incorporates 58 indicators to rank 180 countries on their progress at mitigating ], safeguarding ], and promoting ]. This broad set of metrics is a powerful tool to track progress towards the ], the climate mitigation targets in the ], and the biodiversity protection goals in the ].<ref name="EPI">{{cite web |author= |year=2024 |title=2024 Environmental Performance Index |location=New Haven, CT |publisher=Yale Center for Environmental Law & Policy & Center for International Earth Science Information Network Earth Institute, Columbia University |website=epi.yale.edu |url=https://epi.yale.edu/ |date=2024-10-03 |access-date=2024-10-24}}</ref> | ||
|title=2016 Global Green Economy Index (GGEI) | |||
|url=http://dualcitizeninc.com/GGEI-2016.pdf | |||
|access-date=2016-09-30 | |||
|archive-date=2016-10-03 | |||
|archive-url=https://web.archive.org/web/20161003083020/http://dualcitizeninc.com/GGEI-2016.pdf | |||
|url-status=dead | |||
}}</ref> provide an integrated measure of the environmental, social and economic dynamics of national economies. The GGEI utilizes EPI data for the environmental dimension of the index while also providing a performance assessment of efficiency sectors (e.g. transport, buildings, energy), investment, green innovation and national leadership around climate change. | |||
In 2023, the first global assessment of progress toward the goals of the ] revealed a grim picture: the world is far off track. Despite record deployment of renewable energy, greenhouse gas (GHG) emissions keep rising. As the world enters uncharted climatic territory, there is a heightened risk of crossing irreversible tipping points in the planet's climate system.<ref name="EPI" /> | |||
The EPI for the year 2022 ranks 180 countries. The top five countries are ], the ], ], ] and ].<ref>{{cite web |title=2022 EPI Results |url=https://epi.yale.edu/epi-results/2022/component/epi |website=Environmental Performance Index |access-date=9 June 2022}}</ref> India ranked last at 180 with a score of 18.9.<ref name="low score of India">{{cite news |title=Explained: What Is The Environmental Performance Index And Why India Has Rejected The Report |url=https://www.indiatimes.com/explainers/news/what-is-the-environmental-performance-index-and-why-is-india-rejecting-the-report-574129.html |work=IndiaTimes |date=8 July 2022 |language=en-IN}}</ref><ref name="india ranking">{{cite news |last1=P'rayan |first1=Albert |title=Why we need climate change education |url=https://www.thehindu.com/education/why-we-need-climate-change-education/article65665072.ece |work=The Hindu |date=23 July 2022 |language=en-IN}}</ref> | |||
== Methodology == | == Methodology == | ||
EPI calculation variables change often as can be seen below. This should be taken into account when observing country performance through several reports, as it can lead to score and ranking changes founded just on methodology modification. Apart from variables addressing environmental health and ecosystem vitality, the calculation also takes into account other variables such as rule of law, control of corruption and government effectiveness.<ref name="low score of India" /> | |||
] | |||
=== 2020 variables === | |||
{| class="wikitable" style="margin-left" | |||
Over time, the methodology for the EPI has been criticized for its arbitrary choice of metrics which could introduce bias, and its poor performance as an indicator for environmental sustainability.<ref name="prudue1">{{cite journal |last1=Kanmani |first1=Aiyshwariya |last2=Obringer |first2=Renee |last3=Rachunok |first3=Benjamin |last4=Nateghi |first4=Roshanak |title=Assessing Global Environmental Sustainability Via an Unsupervised Clustering Framework |journal=Sustainability |date=2020-01-11 |volume=12 |issue=2 |page=563 |doi=10.3390/su12020563 |url=https://docs.lib.purdue.edu/fund/4 |access-date=2024-10-24 |doi-access=free}}</ref> Additional criticisms center on the EPI's lack of specific policy suggestions, and the index's weighting biases against data deficient countries that has led to the overlooking of ecological progress in developing countries.<ref name="prudue1" /> | |||
In 2024, India was ranked at 176 in the list and rejected the low ranking. As per a statement issued by the Ministry of Environment, Forests and Climate Change (MoEF&CC), it claimed that several indicators used in the calculation were based on unfounded assumptions and unscientific methods.<ref name="india rejects">{{cite news |last1=Banerjee |first1=Ankush |title=What Happened to Green India? Ranked Lowest as per Environmental Performance Index, India Disputes Methodology |url=https://www.businessinsider.in/sustainability/news/sci-simplified-what-happened-to-green-india-ranked-lowest-as-per-environmental-performance-index-india-disputes-methodology/articleshow/92564174.cms |work=Business Insider |access-date=2024-10-24}}</ref><ref name="india rejection 2">{{cite news |title=India's lagging sustainability performance |url=https://www.hindustantimes.com/opinion/indias-lagging-sustainability-performance-101656338200590.html |work=Hindustan Times |date=2022-06-27 |language=en |access-date=2024-10-24}}</ref><ref name="9 india">{{cite news |last1=Roy |first1=Esha |title=Explained: What is the environment index, and why has India questioned it? |url=https://indianexpress.com/article/explained/environment-index-and-india-7963597/ |work=The Indian Express |date=2022-06-11 |language=en |access-date=2024-10-24}}</ref> | |||
The ] found 3 Pros: EPI provides an easily comparable index; EPI's ecosystem vitality scores are based on six constituent policy categories: water resources, agriculture, forests, fisheries, biodiversity and habitat, and climate and energy; the referenced database yields maps for each of EPI's partial indices (normalised {{nowrap|to 0 … 100}}) and 3 Cons: CIESIN's EPI rather is an attempt to quantitatively represent the ecological performance of countries and companies; actual reasons for dysfunctionalities might need further research; EPI would be a more policy-relevant index.<ref>{{cite web |author= |year= |title=Environmental performance index EPI. Pros & Cons |location= |publisher=United Nations Economic Commission for Europe |website=unece.org |url=https://unece.org/environmental-performance-index-epi |date= |access-date=2024-10-24}}</ref> | |||
As a result of these criticisms, the number of EPI indicators has increased, and their weight has changed, to provide a better data-driven summary of the state of sustainability around the world. The 2024 index is based on 58 performance indicators grouped into 30 issue categories with an objective of environmental health, ecosystem vitality and climate change, ranking 180 countries.<ref name="EPIweights" /> | |||
{{clr}} | |||
{| class="mw-datatable wikitable" style="text-align:left;" | |||
|- | |||
|+ 2024 EPI indicators and weights (%) | |||
! Policy Objective || Wt. (%) || Issue Category || Wt. (%) || Indicator || Wt. (%) | |||
|- style="background-color:#e0ffe0;" | |||
| style="background-color:#b8ffb8;" rowspan="34" | Ecosystem Vitality || style="background-color:#b8ffb8; text-align:center;" rowspan="34" | 45% || rowspan="12" | Biodiversity & Habitat || rowspan="12" style="text-align:center;" | 25 || Marine KBA Protection || style="text-align:right;" | 12.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Marine Habitat Protection || style="text-align:right;" | 12.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Marine Protection Stringency || style="text-align:right;" | 2.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Protected Areas Representativeness Index || style="text-align:right;" | 12.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Species Protection Index || style="text-align:right;" | 16.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Terrestrial Biome Protection || style="text-align:right;" | 10.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Terrestrial KBA Protection || style="text-align:right;" | 10.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Protected Area Effectiveness || style="text-align:right;" | 2.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Protected Human Land || style="text-align:right;" | 2.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Red List Index || style="text-align:right;" | 12.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Species Habitat Index || style="text-align:right;" | 8.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Bioclimatic Ecosystem Resilience || style="text-align:right;" | 2.0 | |||
|- | |- | ||
| rowspan="5" | Forests || rowspan="5" style="text-align:center;" | 5 || Primary Forest Loss || style="text-align:right;" | 30.0 | |||
!Objective<ref>{{Cite web|url=https://epi.yale.edu/sites/default/files/images/figure_1_1.jpg|title=EPI 2020 variables}}</ref>!!Issue Category!!Indicator | |||
|- | |- | ||
| Intact Forest Landscape Loss || style="text-align:right;" | 30.0 | |||
|rowspan="6" |] (40%) | |||
|rowspan="3" |] (65%) | |||
|Air pollution - Household Solid Fuels (40%) | |||
|- | |- | ||
| Tree cover loss weighted by permanency || style="text-align:right;" | 25.0 | |||
|] - Average Exposure to PM2.5 (30%) | |||
|- | |- | ||
| Net change in tree cover || style="text-align:right;" | 10.0 | |||
|Air pollution - PM2.5 Exceedance (30%) | |||
|- | |- | ||
| Forest Landscape Integrity || style="text-align:right;" | 5.0 | |||
|rowspan="2" |] Quality (30%) | |||
|- style="background-color:#e0ffe0;" | |||
|] (50%) | |||
| rowspan="5" | Fisheries || style="text-align:center;" rowspan="5" | 2 || Fish Stock Status || style="text-align:right;" | 15.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Fish Catch Discarded || style="text-align:right;" | 20.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Bottom Trawling in EEZ || style="text-align:right;" | 25.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Bottom Trawling in Global Ocean || style="text-align:right;" | 35.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Regional Marine Trophic Index || style="text-align:right;" | 5.0 | |||
|- | |- | ||
| rowspan="4" | Air Pollution || style="text-align:center;" rowspan="4" | 6 || Ozone exposure KBAs || style="text-align:right;" | 8.3 | |||
|] (50%) | |||
|- | |- | ||
| Ozone exposure croplands || style="text-align:right;" | 8.3 | |||
|] (5%) | |||
|] (100%) | |||
|- | |- | ||
| Adj. emissions growth rate for nitrous oxides || style="text-align:right;" | 41.7 | |||
|rowspan="18" |] vitality (60%) | |||
|rowspan="6" |] and ] (25%) | |||
|] (20%) | |||
|- | |- | ||
| Adj. emissions growth rate for sulfur dioxide || style="text-align:right;" | 41.7 | |||
|] Protection (Global) (20%) | |||
|- style="background-color:#e0ffe0;" | |||
| rowspan="4" | Agriculture || style="text-align:center;" rowspan="4" | 3 || Sustainable Nitrogen Management Index || style="text-align:right;" | 40.0 | |||
|- style="background-color:#e0ffe0;" | |||
| Phosphorus Surplus || style="text-align:right;" | 3.3 | |||
|- style="background-color:#e0ffe0;" | |||
| Pesticide Pollution Risk || style="text-align:right;" | 16.7 | |||
|- style="background-color:#e0ffe0;" | |||
| Relative Crop Yield || style="text-align:right;" | 40.0 | |||
|- | |- | ||
| rowspan="4" | Water Resources || style="text-align:center;" rowspan="4" | 5 || Wastewater generated || style="text-align:right;" | 10.0 | |||
|Biome Protection (National) (20%) | |||
|- | |- | ||
| Wastewater collected || style="text-align:right;" | 40.0 | |||
|] Index (20%) | |||
|- | |- | ||
| Wastewater treated || style="text-align:right;" | 40.0 | |||
|Representativeness Index (10%) | |||
|- | |- | ||
| Wastewater reused || style="text-align:right;" | 10.0 | |||
|Species Habitat Index (10%) | |||
|- style="background-color:#e0e0ff;" | |||
| style="background-color:#b8b8ff;" rowspan="13" | Environmental Health || style="background-color:#b8b8ff; text-align:center;" rowspan="13" | 25% || rowspan="7" | Air Quality || style="text-align:center;" rowspan="7" | 17 || Anthropogenic PM2.5 exposure || style="text-align:right;" | 38.2 | |||
|- style="background-color:#e0e0ff;" | |||
| Household solid fuels || style="text-align:right;" | 38.2 | |||
|- style="background-color:#e0e0ff;" | |||
| Ozone exposure || style="text-align:right;" | 8.8 | |||
|- style="background-color:#e0e0ff;" | |||
| NO<sub>x</sub> exposure || style="text-align:right;" | 5.9 | |||
|- style="background-color:#e0e0ff;" | |||
| SO<sub>2</sub> exposure || style="text-align:right;" | 2.9 | |||
|- style="background-color:#e0e0ff;" | |||
| CO exposure || style="text-align:right;" | 2.9 | |||
|- style="background-color:#e0e0ff;" | |||
| VOC exposure || style="text-align:right;" | 2.9 | |||
|- | |- | ||
| rowspan="2" | Sanitation & Drinking Water || style="text-align:center;" rowspan="2" | 5 || Unsafe sanitation || style="text-align:right;" | 40.0 | |||
|Forests (10%) | |||
|] Loss (100%) | |||
|- | |- | ||
| Unsafe drinking water || style="text-align:right;" | 60.0 | |||
|rowspan="2" |] (10%) | |||
|- style="background-color:#e0e0ff;" | |||
|] Status (50%) | |||
| Heavy Metals || style="text-align:center;" | 2 || Lead exposure || style="text-align:right;" | 100.0 | |||
|- | |- | ||
| rowspan="3" | Waste Management || style="text-align:center;" rowspan="3" | 1 || Waste generated per capita || style="text-align:right;" | 40.0 | |||
|Regional Marine Trophic Index (50%) | |||
|- | |- | ||
| Controlled solid waste || style="text-align:right;" | 20.0 | |||
|rowspan="5" |] (30%) | |||
|{{CO2}} ] (Total) (50%) | |||
|- | |- | ||
| Waste recovery rate || style="text-align:right;" | 40.0 | |||
|{{CO2}} Emissions (Power) (20%) | |||
|- style="background-color:#fff4e0;" | |||
| style="background-color:#ffe6b8;" rowspan="11" | Climate Change || style="background-color:#ffe6b8; text-align:center;" rowspan="11" | 30% || rowspan="11" | Climate Change Mitigation || rowspan="11" style="text-align:center;" | 30 || Adjusted emissions growth rate for carbon dioxide || style="text-align:right;" | 25.0 | |||
|- style="background-color:#fff4e0;" | |||
| CO<sub>2</sub> growth rate (country- specific targets) || style="text-align:right;" | 1.7 | |||
|- style="background-color:#fff4e0;" | |||
| Adjusted emissions growth rate for methane || style="text-align:right;" | 10.0 | |||
|- style="background-color:#fff4e0;" | |||
| Adjusted emissions growth rate for F-gases || style="text-align:right;" | 6.7 | |||
|- style="background-color:#fff4e0;" | |||
| Adjusted emissions growth rate for nitrous oxide || style="text-align:right;" | 3.3 | |||
|- style="background-color:#fff4e0;" | |||
| Adjusted emissions growth rate for black carbon || style="text-align:right;" | 5.0 | |||
|- style="background-color:#fff4e0;" | |||
| Net carbon fluxes due to land cover change || style="text-align:right;" | 3.3 | |||
|- style="background-color:#fff4e0;" | |||
| GHG growth rate adjusted by emissions intensity || style="text-align:right;" | 20.0 | |||
|- style="background-color:#fff4e0;" | |||
| GHG growth rate adjusted by per capita emissions || style="text-align:right;" | 20.0 | |||
|- style="background-color:#fff4e0;" | |||
| Projected emissions in 2050 || style="text-align:right;" | 3.3 | |||
|- style="background-color:#fff4e0;" | |||
| Projected cumulative emissions to 2050 relative to carbon budget || style="text-align:right;" | 1.7 | |||
|- class="sortbottom static-row-header" style="background-color:#ececec; text-align:left; font-style:italic; font-size:small;" | |||
| colspan="6" style="text-align:left;" | {{notelist}} '''Note''': Wt. (%) is percent weights of overall EPI. Weights are rounded and may not add up to 100%.<ref name="EPIpdf">{{cite web |author=Block, S.; Emerson, J.W.; Esty, D.C.; de Sherbinin, A.; Wendling, Z.A. |display-authors=et al. |year=2024 |title=2024 Environmental Performance Index. Technical Appendix |location=New Haven, CT |publisher=Yale Center for Environmental Law & Policy |website=epi.yale.edu |url=https://epi.yale.edu/downloads/2024-epi-technical-appendix.pdf |date=2024-10-03 |access-date=2024-10-24}}</ref><ref name="EPIweights">{{cite web |title=2024 Weights |format=CSV |location=New Haven, CT |publisher=Yale Center for Environmental Law & Policy |website=epi.yale.edu |url=https://epi.yale.edu/downloads/epi2024weights.csv |access-date=2024-10-24}}</ref> | |||
|} | |||
== List of countries by 2024 EPI scores == | |||
The 2024 Environmental Performance Index report ranks 180 countries and territories, based on 58 performance indicators grouped into 30 issue categories. The top five countries are ], ], ], ] and the ], while the last ones are ], ], ], ] and ].<ref name="EPIreport">{{cite web |author=Block, S.; Emerson, J.W.; Esty, D.C.; de Sherbinin, A.; Wendling, Z.A. |display-authors=et al. |year=2024 |title=2024 Environmental Performance Index |location=New Haven, CT |publisher=Yale Center for Environmental Law & Policy |website=epi.yale.edu |url=https://epi.yale.edu/downloads/2024epireport.pdf |date=2024-10-03 |access-date=2024-10-24}}</ref> Sorting is alphabetical by country code, according to ]. | |||
{{sticky header}} {{mw-datatable}} {{Static row numbers}} {{sort under}} | |||
{| class="mw-datatable wikitable sortable sticky-header-multi static-row-numbers sort-under" style="text-align:right;" | |||
|- | |||
|+ | |||
! data-sort-style="text" | Country || Region || data-sort-style="number" | Value || data-sort-style="number" | Trend || data-sort-style="number" | Rank 2024 | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Afghanistan" | {{AFG}} || style="text-align:left;" | South Asia || {{formatnum:31.0}} || data-sort-value="128" | {{Increase}} {{formatnum:12.8}} || 144 | |||
|] (20%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Angola" | {{AGO}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:40.1}} || data-sort-value="82" | {{Increase}} {{formatnum:8.2}} || 106 | |||
|{{N2O}} ] (5%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Albania" | {{ALB}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:52.2}} || data-sort-value="61" | {{Increase}} {{formatnum:6.1}} || 47 | |||
|] (5%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="United Arab Emirates" | {{ARE}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:51.6}} || data-sort-value="91" | {{Increase}} {{formatnum:9.1}} || 48 | |||
|rowspan="2" |] (10%) | |||
|] Emissions (50%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Argentina" | {{ARG}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:47.0}} || data-sort-value="11" | {{Increase}} {{formatnum:1.1}} || 70 | |||
|] Emissions (50%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Armenia" | {{ARM}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:44.9}} || data-sort-value="20" | {{Increase}} {{formatnum:2.0}} || 80 | |||
|] (10%) | |||
|] (100%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Antigua and Barbuda" | {{ATG}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:55.6}} || data-sort-value="12" | {{Increase}} {{formatnum:1.2}} || 37 | |||
|rowspan="1" |Agriculture (5%) | |||
|Sustainable ] (100%) | |||
|} | |||
=== 2018 variables === | |||
The variables in 2018 are largely similar to those from 2016, but have changed in details and some weights. | |||
Notably environmental Health is now weighted at 40% and ecosystem vitality at 60%.<ref>{{Cite web|url=https://epi.envirocenter.yale.edu/sites/default/files/images/figure_1_1.jpg|title=EPI 2018 variables}}</ref> | |||
{| class="wikitable" style="margin-left" | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Australia" | {{AUS}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:63.1}} || data-sort-value="42" | {{Increase}} {{formatnum:4.2}} || 22 | |||
!Objective!!Issue Category!!Indicator | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Austria" | {{AUT}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:68.9}} || data-sort-value="1" | {{Increase}} {{formatnum:0.1}} || 8 | |||
|rowspan="7" |] (40%)||Health Impacts (33%)||Environmental Risk Exposure (100%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Azerbaijan" | {{AZE}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:40.5}} || data-sort-value="-3" | {{Decrease}} {{formatnum:-0.3}} || 103 | |||
|rowspan="4" |] (33%)||Household Air Quality (30%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Burundi" | {{BDI}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:33.5}} || data-sort-value="-13" | {{Decrease}} {{formatnum:-1.3}} || 138 | |||
|] - Average Exposure to PM2.5 (30%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Belgium" | {{BEL}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:66.8}} || data-sort-value="49" | {{Increase}} {{formatnum:4.9}} || 14 | |||
|Air pollution - PM2.5 Exceedance (30%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Benin" | {{BEN}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:37.8}} || data-sort-value="-3" | {{Decrease}} {{formatnum:-0.3}} || 119 | |||
|Air pollution - Average Exposure to {{chem2|NO2}} (10%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Burkina Faso" | {{BFA}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:42.2}} || data-sort-value="1" | {{Increase}} {{formatnum:0.1}} || 95 | |||
|rowspan="2" |] and ] (33%)||Unsafe Sanitation (50%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Bangladesh" | {{BGD}} || style="text-align:left;" | South Asia || {{formatnum:28.1}} || data-sort-value="23" | {{Increase}} {{formatnum:2.3}} || 148 | |||
|Drinking Water Quality (50%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Bulgaria" | {{BGR}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:56.2}} || data-sort-value="-12" | {{Decrease}} {{formatnum:-1.2}} || 35 | |||
|rowspan="12" |Ecosystem vitality (60%)||] (25%)||] (100%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Bahrain" | {{BHR}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:35.3}} || data-sort-value="-14" | {{Decrease}} {{formatnum:-1.4}} || 131 | |||
|rowspan="2" |Agriculture (10%)||] (75%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Bahamas. The" | {{BHS}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:55.9}} || data-sort-value="16" | {{Increase}} {{formatnum:1.6}} || 36 | |||
|] (25%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Bosnia and Herzegovina" | {{BIH}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:46.0}} || data-sort-value="33" | {{Increase}} {{formatnum:3.3}} || 75 | |||
|Forests (10%)||Change in ] (100%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Belarus" | {{BLR}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:58.2}} || data-sort-value="87" | {{Increase}} {{formatnum:8.7}} || 31 | |||
|] (5%)||Fish stocks (100%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Belize" | {{BLZ}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:47.4}} || data-sort-value="9" | {{Increase}} {{formatnum:0.9}} || 67 | |||
|rowspan="5" |] and ] (25%)||Terrestrial Protected Areas (National ] Weights) (20%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Bolivia" | {{BOL}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:45.3}} || data-sort-value="34" | {{Increase}} {{formatnum:3.4}} || 78 | |||
|]s (Global Biome Weights) (20%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Brazil" | {{BRA}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:53.0}} || data-sort-value="67" | {{Increase}} {{formatnum:6.7}} || 44 | |||
|]s (20%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Barbados" | {{BRB}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:53.1}} || data-sort-value="26" | {{Increase}} {{formatnum:2.6}} || 43 | |||
|] (National) (20%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Brunei Darussalam" | {{BRN}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:48.3}} || data-sort-value="-31" | {{Decrease}} {{formatnum:-3.1}} || 62 | |||
|Species protection (Global) (20%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Bhutan" | {{BTN}} || style="text-align:left;" | South Asia || {{formatnum:43.3}} || data-sort-value="68" | {{Increase}} {{formatnum:6.8}} || 89 | |||
|rowspan="2" |] (25%)||Trend in ] (75%) | |||
|- | |- | ||
| style="text-align:left;" data-sort-value="Botswana" | {{BWA}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:49.2}} || data-sort-value="-18" | {{Decrease}} {{formatnum:-1.8}} || 59 | |||
|Trend in ] per ] (25%) | |||
|- | |||
| style="text-align:left;" data-sort-value="Central African Republic" | {{CAF}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:39.0}} || data-sort-value="-51" | {{Decrease}} {{formatnum:-5.1}} || 111 | |||
|- | |||
| style="text-align:left;" data-sort-value="Canada" | {{CAN}} || style="text-align:left;" | North America || {{formatnum:61.1}} || data-sort-value="35" | {{Increase}} {{formatnum:3.5}} || 27 | |||
|- | |||
| style="text-align:left;" data-sort-value="Switzerland" | {{CHE}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:67.8}} || data-sort-value="23" | {{Increase}} {{formatnum:2.3}} || 9 | |||
|- | |||
| style="text-align:left;" data-sort-value="Chile" | {{CHL}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:49.6}} || data-sort-value="30" | {{Increase}} {{formatnum:3.0}} || 57 | |||
|- | |||
| style="text-align:left;" data-sort-value="China" | {{CHN}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:35.4}} || data-sort-value="56" | {{Increase}} {{formatnum:5.6}} || 130 | |||
|- | |||
| style="text-align:left;" data-sort-value="Côte d'Ivoire" | {{CIV}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:42.9}} || data-sort-value="78" | {{Increase}} {{formatnum:7.8}} || 90 | |||
|- | |||
| style="text-align:left;" data-sort-value="Cameroon" | {{CMR}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:38.6}} || data-sort-value="22" | {{Increase}} {{formatnum:2.2}} || 114 | |||
|- | |||
| style="text-align:left;" data-sort-value="Congo, Dem. Rep." | {{COD}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:39.5}} || data-sort-value="60" | {{Increase}} {{formatnum:6.0}} || 109 | |||
|- | |||
| style="text-align:left;" data-sort-value="Congo, Rep." | {{COG}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:41.6}} || data-sort-value="9" | {{Increase}} {{formatnum:0.9}} || 99 | |||
|- | |||
| style="text-align:left;" data-sort-value="Colombia" | {{COL}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:49.7}} || data-sort-value="44" | {{Increase}} {{formatnum:4.4}} || 56 | |||
|- | |||
| style="text-align:left;" data-sort-value="Comoros" | {{COM}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:38.2}} || data-sort-value="-59" | {{Decrease}} {{formatnum:-5.9}} || 115 | |||
|- | |||
| style="text-align:left;" data-sort-value="Cabo Verde" | {{CPV}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:38.0}} || data-sort-value="-18" | {{Decrease}} {{formatnum:-1.8}} || 117 | |||
|- | |||
| style="text-align:left;" data-sort-value="Costa Rica" | {{CRI}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:55.5}} || data-sort-value="2" | {{Increase}} {{formatnum:0.2}} || 38 | |||
|- | |||
| style="text-align:left;" data-sort-value="Cuba" | {{CUB}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:52.5}} || data-sort-value="25" | {{Increase}} {{formatnum:2.5}} || 46 | |||
|- | |||
| style="text-align:left;" data-sort-value="Cyprus" | {{CYP}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:53.9}} || data-sort-value="-2" | {{Decrease}} {{formatnum:-0.2}} || 41 | |||
|- | |||
| style="text-align:left;" data-sort-value="Czechia" | {{CZE}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:65.5}} || data-sort-value="4" | {{Increase}} {{formatnum:0.4}} || 16 | |||
|- | |||
| style="text-align:left;" data-sort-value="Germany" | {{DEU}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:74.5}} || data-sort-value="43" | {{Increase}} {{formatnum:4.3}} || 3 | |||
|- | |||
| style="text-align:left;" data-sort-value="Djibouti" | {{DJI}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:32.3}} || data-sort-value="2" | {{Increase}} {{formatnum:0.2}} || 141 | |||
|- | |||
| style="text-align:left;" data-sort-value="Dominica" | {{DMA}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:49.3}} || data-sort-value="-2" | {{Decrease}} {{formatnum:-0.2}} || 58 | |||
|- | |||
| style="text-align:left;" data-sort-value="Denmark" | {{DNK}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:67.7}} || data-sort-value="-3" | {{Decrease}} {{formatnum:-0.3}} || 10 | |||
|- | |||
| style="text-align:left;" data-sort-value="Dominican Republic" | {{DOM}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:47.7}} || data-sort-value="-11" | {{Decrease}} {{formatnum:-1.1}} || 66 | |||
|- | |||
| style="text-align:left;" data-sort-value="Algeria" | {{DZA}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:41.7}} || data-sort-value="32" | {{Increase}} {{formatnum:3.2}} || 98 | |||
|- | |||
| style="text-align:left;" data-sort-value="Ecuador" | {{ECU}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:51.3}} || data-sort-value="70" | {{Increase}} {{formatnum:7.0}} || 49 | |||
|- | |||
| style="text-align:left;" data-sort-value="Egypt, Arab Rep." | {{EGY}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:43.7}} || data-sort-value="35" | {{Increase}} {{formatnum:3.5}} || 87 | |||
|- | |||
| style="text-align:left;" data-sort-value="Eritrea" | {{ERI}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:29.0}} || data-sort-value="-3" | {{Decrease}} {{formatnum:-0.3}} || 147 | |||
|- | |||
| style="text-align:left;" data-sort-value="Spain" | {{ESP}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:64.0}} || data-sort-value="22" | {{Increase}} {{formatnum:2.2}} || 21 | |||
|- | |||
| style="text-align:left;" data-sort-value="Estonia" | {{EST}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:75.7}} || data-sort-value="149" | {{Increase}} {{formatnum:14.9}} || 1 | |||
|- | |||
| style="text-align:left;" data-sort-value="Ethiopia" | {{ETH}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:36.3}} || data-sort-value="38" | {{Increase}} {{formatnum:3.8}} || 125 | |||
|- | |||
| style="text-align:left;" data-sort-value="Finland" | {{FIN}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:73.8}} || data-sort-value="31" | {{Increase}} {{formatnum:3.1}} || 4 | |||
|- | |||
| style="text-align:left;" data-sort-value="Fiji" | {{FJI}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:46.0}} || data-sort-value="-24" | {{Decrease}} {{formatnum:-2.4}} || 75 | |||
|- | |||
| style="text-align:left;" data-sort-value="France" | {{FRA}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:67.0}} || data-sort-value="16" | {{Increase}} {{formatnum:1.6}} || 12 | |||
|- | |||
| style="text-align:left;" data-sort-value="Micronesia, Fed. Sts." | {{FSM}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:40.8}} || data-sort-value="3" | {{Increase}} {{formatnum:0.3}} || 101 | |||
|- | |||
| style="text-align:left;" data-sort-value="Gabon" | {{GAB}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:53.3}} || data-sort-value="73" | {{Increase}} {{formatnum:7.3}} || 42 | |||
|- | |||
| style="text-align:left;" data-sort-value="United Kingdom" | {{GBR}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:72.6}} || data-sort-value="13" | {{Increase}} {{formatnum:1.3}} || 5 | |||
|- | |||
| style="text-align:left;" data-sort-value="Georgia" | {{GEO}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:47.3}} || data-sort-value="62" | {{Increase}} {{formatnum:6.2}} || 68 | |||
|- | |||
| style="text-align:left;" data-sort-value="Ghana" | {{GHA}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:36.9}} || data-sort-value="18" | {{Increase}} {{formatnum:1.8}} || 122 | |||
|- | |||
| style="text-align:left;" data-sort-value="Guinea" | {{GIN}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:36.5}} || data-sort-value="-29" | {{Decrease}} {{formatnum:-2.9}} || 123 | |||
|- | |||
| style="text-align:left;" data-sort-value="Gambia, The" | {{GMB}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:37.6}} || data-sort-value="6" | {{Increase}} {{formatnum:0.6}} || 120 | |||
|- | |||
| style="text-align:left;" data-sort-value="Guinea-Bissau" | {{GNB}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:42.0}} || data-sort-value="-5" | {{Decrease}} {{formatnum:-0.5}} || 96 | |||
|- | |||
| style="text-align:left;" data-sort-value="Equatorial Guinea" | {{GNQ}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:41.7}} || data-sort-value="-33" | {{Decrease}} {{formatnum:-3.3}} || 98 | |||
|- | |||
| style="text-align:left;" data-sort-value="Greece" | {{GRC}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:67.3}} || data-sort-value="89" | {{Increase}} {{formatnum:8.9}} || 11 | |||
|- | |||
| style="text-align:left;" data-sort-value="Grenada" | {{GRD}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:45.8}} || data-sort-value="4" | {{Increase}} {{formatnum:0.4}} || 76 | |||
|- | |||
| style="text-align:left;" data-sort-value="Guatemala" | {{GTM}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:32.5}} || data-sort-value="-28" | {{Decrease}} {{formatnum:-2.8}} || 140 | |||
|- | |||
| style="text-align:left;" data-sort-value="Guyana" | {{GUY}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:49.0}} || data-sort-value="23" | {{Increase}} {{formatnum:2.3}} || 60 | |||
|- | |||
| style="text-align:left;" data-sort-value="Honduras" | {{HND}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:40.2}} || data-sort-value="29" | {{Increase}} {{formatnum:2.9}} || 105 | |||
|- | |||
| style="text-align:left;" data-sort-value="Croatia" | {{HRV}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:62.3}} || data-sort-value="49" | {{Increase}} {{formatnum:4.9}} || 24 | |||
|- | |||
| style="text-align:left;" data-sort-value="Haiti" | {{HTI}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:36.4}} || data-sort-value="77" | {{Increase}} {{formatnum:7.7}} || 124 | |||
|- | |||
| style="text-align:left;" data-sort-value="Hungary" | {{HUN}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:59.8}} || data-sort-value="-13" | {{Decrease}} {{formatnum:-1.3}} || 30 | |||
|- | |||
| style="text-align:left;" data-sort-value="Indonesia" | {{IDN}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:33.6}} || data-sort-value="58" | {{Increase}} {{formatnum:5.8}} || 137 | |||
|- | |||
| style="text-align:left;" data-sort-value="India" | {{IND}} || style="text-align:left;" | South Asia || {{formatnum:27.6}} || data-sort-value="42" | {{Increase}} {{formatnum:4.2}} || 149 | |||
|- | |||
| style="text-align:left;" data-sort-value="Ireland" | {{IRL}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:65.8}} || data-sort-value="28" | {{Increase}} {{formatnum:2.8}} || 15 | |||
|- | |||
| style="text-align:left;" data-sort-value="Iran, Islamic Rep." | {{IRN}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:41.8}} || data-sort-value="0" | {{Increase}} {{formatnum:0.0}} || 97 | |||
|- | |||
| style="text-align:left;" data-sort-value="Iraq" | {{IRQ}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:30.3}} || data-sort-value="64" | {{Increase}} {{formatnum:6.4}} || 145 | |||
|- | |||
| style="text-align:left;" data-sort-value="Iceland" | {{ISL}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:64.3}} || data-sort-value="25" | {{Increase}} {{formatnum:2.5}} || 18 | |||
|- | |||
| style="text-align:left;" data-sort-value="Israel" | {{ISR}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:48.0}} || data-sort-value="6" | {{Increase}} {{formatnum:0.6}} || 63 | |||
|- | |||
| style="text-align:left;" data-sort-value="Italy" | {{ITA}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:60.3}} || data-sort-value="48" | {{Increase}} {{formatnum:4.8}} || 28 | |||
|- | |||
| style="text-align:left;" data-sort-value="Jamaica" | {{JAM}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:48.5}} || data-sort-value="10" | {{Increase}} {{formatnum:1.0}} || 61 | |||
|- | |||
| style="text-align:left;" data-sort-value="Jordan" | {{JOR}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:47.3}} || data-sort-value="101" | {{Increase}} {{formatnum:10.1}} || 68 | |||
|- | |||
| style="text-align:left;" data-sort-value="Japan" | {{JPN}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:61.4}} || data-sort-value="42" | {{Increase}} {{formatnum:4.2}} || 26 | |||
|- | |||
| style="text-align:left;" data-sort-value="Kazakhstan" | {{KAZ}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:47.8}} || data-sort-value="40" | {{Increase}} {{formatnum:4.0}} || 65 | |||
|- | |||
| style="text-align:left;" data-sort-value="Kenya" | {{KEN}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:36.9}} || data-sort-value="-2" | {{Decrease}} {{formatnum:-0.2}} || 122 | |||
|- | |||
| style="text-align:left;" data-sort-value="Kyrgyz Republic" | {{KGZ}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:42.8}} || data-sort-value="130" | {{Increase}} {{formatnum:13.0}} || 91 | |||
|- | |||
| style="text-align:left;" data-sort-value="Cambodia" | {{KHM}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:31.2}} || data-sort-value="0" | {{Increase}} {{formatnum:0.0}} || 143 | |||
|- | |||
| style="text-align:left;" data-sort-value="Kiribati" | {{KIR}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:44.3}} || data-sort-value="-11" | {{Decrease}} {{formatnum:-1.1}} || 82 | |||
|- | |||
| style="text-align:left;" data-sort-value="Korea. Rep." | {{KOR}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:50.6}} || data-sort-value="49" | {{Increase}} {{formatnum:4.9}} || 51 | |||
|- | |||
| style="text-align:left;" data-sort-value="Kuwait" | {{KWT}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:44.4}} || data-sort-value="-18" | {{Decrease}} {{formatnum:-1.8}} || 81 | |||
|- | |||
| style="text-align:left;" data-sort-value="Lao PDR" | {{LAO}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:26.3}} || data-sort-value="20" | {{Increase}} {{formatnum:2.0}} || 151 | |||
|- | |||
| style="text-align:left;" data-sort-value="Lebanon" | {{LBN}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:39.9}} || data-sort-value="79" | {{Increase}} {{formatnum:7.9}} || 108 | |||
|- | |||
| style="text-align:left;" data-sort-value="Liberia" | {{LBR}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:34.3}} || data-sort-value="13" | {{Increase}} {{formatnum:1.3}} || 135 | |||
|- | |||
| style="text-align:left;" data-sort-value="St. Lucia" | {{LCA}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:51.1}} || data-sort-value="21" | {{Increase}} {{formatnum:2.1}} || 50 | |||
|- | |||
| style="text-align:left;" data-sort-value="Sri Lanka" | {{LKA}} || style="text-align:left;" | South Asia || {{formatnum:38.8}} || data-sort-value="18" | {{Increase}} {{formatnum:1.8}} || 112 | |||
|- | |||
| style="text-align:left;" data-sort-value="Lesotho" | {{LSO}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:36.9}} || data-sort-value="1" | {{Increase}} {{formatnum:0.1}} || 122 | |||
|- | |||
| style="text-align:left;" data-sort-value="Lithuania" | {{LTU}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:64.1}} || data-sort-value="46" | {{Increase}} {{formatnum:4.6}} || 20 | |||
|- | |||
| style="text-align:left;" data-sort-value="Luxembourg" | {{LUX}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:75.1}} || data-sort-value="34" | {{Increase}} {{formatnum:3.4}} || 2 | |||
|- | |||
| style="text-align:left;" data-sort-value="Latvia" | {{LVA}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:60.2}} || data-sort-value="12" | {{Increase}} {{formatnum:1.2}} || 29 | |||
|- | |||
| style="text-align:left;" data-sort-value="Morocco" | {{MAR}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:39.5}} || data-sort-value="26" | {{Increase}} {{formatnum:2.6}} || 109 | |||
|- | |||
| style="text-align:left;" data-sort-value="Moldova" | {{MDA}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:46.1}} || data-sort-value="28" | {{Increase}} {{formatnum:2.8}} || 74 | |||
|- | |||
| style="text-align:left;" data-sort-value="Madagascar" | {{MDG}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:30.1}} || data-sort-value="8" | {{Increase}} {{formatnum:0.8}} || 146 | |||
|- | |||
| style="text-align:left;" data-sort-value="Maldives" | {{MDV}} || style="text-align:left;" | South Asia || {{formatnum:38.1}} || data-sort-value="28" | {{Increase}} {{formatnum:2.8}} || 116 | |||
|- | |||
| style="text-align:left;" data-sort-value="Mexico" | {{MEX}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:44.2}} || data-sort-value="22" | {{Increase}} {{formatnum:2.2}} || 83 | |||
|- | |||
| style="text-align:left;" data-sort-value="Marshall Islands" | {{MHL}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:42.5}} || data-sort-value="8" | {{Increase}} {{formatnum:0.8}} || 94 | |||
|- | |||
| style="text-align:left;" data-sort-value="North Macedonia" | {{MKD}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:50.3}} || data-sort-value="12" | {{Increase}} {{formatnum:1.2}} || 52 | |||
|- | |||
| style="text-align:left;" data-sort-value="Mali" | {{MLI}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:34.5}} || data-sort-value="-33" | {{Decrease}} {{formatnum:-3.3}} || 134 | |||
|- | |||
| style="text-align:left;" data-sort-value="Malta" | {{MLT}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:66.9}} || data-sort-value="47" | {{Increase}} {{formatnum:4.7}} || 13 | |||
|- | |||
| style="text-align:left;" data-sort-value="Myanmar" | {{MMR}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:27.1}} || data-sort-value="-14" | {{Decrease}} {{formatnum:-1.4}} || 150 | |||
|- | |||
| style="text-align:left;" data-sort-value="Montenegro" | {{MNE}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:47.7}} || data-sort-value="-5" | {{Decrease}} {{formatnum:-0.5}} || 66 | |||
|- | |||
| style="text-align:left;" data-sort-value="Mongolia" | {{MNG}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:37.2}} || data-sort-value="54" | {{Increase}} {{formatnum:5.4}} || 121 | |||
|- | |||
| style="text-align:left;" data-sort-value="Mozambique" | {{MOZ}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:39.0}} || data-sort-value="52" | {{Increase}} {{formatnum:5.2}} || 111 | |||
|- | |||
| style="text-align:left;" data-sort-value="Mauritania" | {{MRT}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:34.6}} || data-sort-value="-35" | {{Decrease}} {{formatnum:-3.5}} || 133 | |||
|- | |||
| style="text-align:left;" data-sort-value="Mauritius" | {{MUS}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:47.3}} || data-sort-value="29" | {{Increase}} {{formatnum:2.9}} || 68 | |||
|- | |||
| style="text-align:left;" data-sort-value="Malawi" | {{MWI}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:35.1}} || data-sort-value="-67" | {{Decrease}} {{formatnum:-6.7}} || 132 | |||
|- | |||
| style="text-align:left;" data-sort-value="Malaysia" | {{MYS}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:41.0}} || data-sort-value="73" | {{Increase}} {{formatnum:7.3}} || 100 | |||
|- | |||
| style="text-align:left;" data-sort-value="Namibia" | {{NAM}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:44.0}} || data-sort-value="-1" | {{Decrease}} {{formatnum:-0.1}} || 85 | |||
|- | |||
| style="text-align:left;" data-sort-value="Niger" | {{NER}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:40.0}} || data-sort-value="73" | {{Increase}} {{formatnum:7.3}} || 107 | |||
|- | |||
| style="text-align:left;" data-sort-value="Nigeria" | {{NGA}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:37.9}} || data-sort-value="47" | {{Increase}} {{formatnum:4.7}} || 118 | |||
|- | |||
| style="text-align:left;" data-sort-value="Nicaragua" | {{NIC}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:47.4}} || data-sort-value="12" | {{Increase}} {{formatnum:1.2}} || 67 | |||
|- | |||
| style="text-align:left;" data-sort-value="Netherlands" | {{NLD}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:66.9}} || data-sort-value="44" | {{Increase}} {{formatnum:4.4}} || 13 | |||
|- | |||
| style="text-align:left;" data-sort-value="Norway" | {{NOR}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:69.9}} || data-sort-value="33" | {{Increase}} {{formatnum:3.3}} || 7 | |||
|- | |||
| style="text-align:left;" data-sort-value="Nepal" | {{NPL}} || style="text-align:left;" | South Asia || {{formatnum:33.1}} || data-sort-value="7" | {{Increase}} {{formatnum:0.7}} || 139 | |||
|- | |||
| style="text-align:left;" data-sort-value="New Zealand" | {{NZL}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:57.3}} || data-sort-value="11" | {{Increase}} {{formatnum:1.1}} || 32 | |||
|- | |||
| style="text-align:left;" data-sort-value="Oman" | {{OMN}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:51.3}} || data-sort-value="129" | {{Increase}} {{formatnum:12.9}} || 49 | |||
|- | |||
| style="text-align:left;" data-sort-value="Pakistan" | {{PAK}} || style="text-align:left;" | South Asia || {{formatnum:25.5}} || data-sort-value="-40" | {{Decrease}} {{formatnum:-4.0}} || 152 | |||
|- | |||
| style="text-align:left;" data-sort-value="Panama" | {{PAN}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:52.9}} || data-sort-value="52" | {{Increase}} {{formatnum:5.2}} || 45 | |||
|- | |||
| style="text-align:left;" data-sort-value="Peru" | {{PER}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:46.5}} || data-sort-value="39" | {{Increase}} {{formatnum:3.9}} || 73 | |||
|- | |||
| style="text-align:left;" data-sort-value="Philippines" | {{PHL}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:32.1}} || data-sort-value="4" | {{Increase}} {{formatnum:0.4}} || 142 | |||
|- | |||
| style="text-align:left;" data-sort-value="Papua New Guinea" | {{PNG}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:36.9}} || data-sort-value="-36" | {{Decrease}} {{formatnum:-3.6}} || 122 | |||
|- | |||
| style="text-align:left;" data-sort-value="Poland" | {{POL}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:64.2}} || data-sort-value="18" | {{Increase}} {{formatnum:1.8}} || 19 | |||
|- | |||
| style="text-align:left;" data-sort-value="Portugal" | {{PRT}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:61.9}} || data-sort-value="41" | {{Increase}} {{formatnum:4.1}} || 25 | |||
|- | |||
| style="text-align:left;" data-sort-value="Paraguay" | {{PRY}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:39.5}} || data-sort-value="7" | {{Increase}} {{formatnum:0.7}} || 109 | |||
|- | |||
| style="text-align:left;" data-sort-value="Qatar" | {{QAT}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:46.8}} || data-sort-value="56" | {{Increase}} {{formatnum:5.6}} || 71 | |||
|- | |||
| style="text-align:left;" data-sort-value="Romania" | {{ROU}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:57.3}} || data-sort-value="-31" | {{Decrease}} {{formatnum:-3.1}} || 32 | |||
|- | |||
| style="text-align:left;" data-sort-value="Russian Federation" | {{RUS}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:46.7}} || data-sort-value="-1" | {{Decrease}} {{formatnum:-0.1}} || 72 | |||
|- | |||
| style="text-align:left;" data-sort-value="Rwanda" | {{RWA}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:33.9}} || data-sort-value="-3" | {{Decrease}} {{formatnum:-0.3}} || 136 | |||
|- | |||
| style="text-align:left;" data-sort-value="Saudi Arabia" | {{SAU}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:42.5}} || data-sort-value="95" | {{Increase}} {{formatnum:9.5}} || 94 | |||
|- | |||
| style="text-align:left;" data-sort-value="Sudan" | {{SDN}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:39.1}} || data-sort-value="39" | {{Increase}} {{formatnum:3.9}} || 110 | |||
|- | |||
| style="text-align:left;" data-sort-value="Senegal" | {{SEN}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:43.8}} || data-sort-value="48" | {{Increase}} {{formatnum:4.8}} || 86 | |||
|- | |||
| style="text-align:left;" data-sort-value="Singapore" | {{SGP}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:53.0}} || data-sort-value="65" | {{Increase}} {{formatnum:6.5}} || 44 | |||
|- | |||
| style="text-align:left;" data-sort-value="Solomon Islands" | {{SLB}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:42.2}} || data-sort-value="16" | {{Increase}} {{formatnum:1.6}} || 95 | |||
|- | |||
| style="text-align:left;" data-sort-value="Sierra Leone" | {{SLE}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:39.9}} || data-sort-value="53" | {{Increase}} {{formatnum:5.3}} || 108 | |||
|- | |||
| style="text-align:left;" data-sort-value="El Salvador" | {{SLV}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:41.6}} || data-sort-value="-44" | {{Decrease}} {{formatnum:-4.4}} || 99 | |||
|- | |||
| style="text-align:left;" data-sort-value="Serbia" | {{SRB}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:49.8}} || data-sort-value="-56" | {{Decrease}} {{formatnum:-5.6}} || 55 | |||
|- | |||
| style="text-align:left;" data-sort-value="São Tomé and Príncipe" | {{STP}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:36.2}} || data-sort-value="18" | {{Increase}} {{formatnum:1.8}} || 126 | |||
|- | |||
| style="text-align:left;" data-sort-value="Suriname" | {{SUR}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:56.9}} || data-sort-value="86" | {{Increase}} {{formatnum:8.6}} || 34 | |||
|- | |||
| style="text-align:left;" data-sort-value="Slovak Republic" | {{SVK}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:65.1}} || data-sort-value="-16" | {{Decrease}} {{formatnum:-1.6}} || 17 | |||
|- | |||
| style="text-align:left;" data-sort-value="Slovenia" | {{SVN}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:62.4}} || data-sort-value="0" | {{Increase}} {{formatnum:0.0}} || 23 | |||
|- | |||
| style="text-align:left;" data-sort-value="Sweden" | {{SWE}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:70.3}} || data-sort-value="2" | {{Increase}} {{formatnum:0.2}} || 6 | |||
|- | |||
| style="text-align:left;" data-sort-value="Eswatini" | {{SWZ}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:38.7}} || data-sort-value="-24" | {{Decrease}} {{formatnum:-2.4}} || 113 | |||
|- | |||
| style="text-align:left;" data-sort-value="Seychelles" | {{SYC}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:47.9}} || data-sort-value="-39" | {{Decrease}} {{formatnum:-3.9}} || 64 | |||
|- | |||
| style="text-align:left;" data-sort-value="Chad" | {{TCD}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:35.9}} || data-sort-value="20" | {{Increase}} {{formatnum:2.0}} || 127 | |||
|- | |||
| style="text-align:left;" data-sort-value="Togo" | {{TGO}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:35.7}} || data-sort-value="-11" | {{Decrease}} {{formatnum:-1.1}} || 129 | |||
|- | |||
| style="text-align:left;" data-sort-value="Thailand" | {{THA}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:45.7}} || data-sort-value="45" | {{Increase}} {{formatnum:4.5}} || 77 | |||
|- | |||
| style="text-align:left;" data-sort-value="Tajikistan" | {{TJK}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:32.3}} || data-sort-value="-42" | {{Decrease}} {{formatnum:-4.2}} || 141 | |||
|- | |||
| style="text-align:left;" data-sort-value="Turkmenistan" | {{TKM}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:40.6}} || data-sort-value="49" | {{Increase}} {{formatnum:4.9}} || 102 | |||
|- | |||
| style="text-align:left;" data-sort-value="Timor-Leste" | {{TLS}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:49.9}} || data-sort-value="96" | {{Increase}} {{formatnum:9.6}} || 54 | |||
|- | |||
| style="text-align:left;" data-sort-value="Tonga" | {{TON}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:40.4}} || data-sort-value="-73" | {{nowrap|{{Decrease}} {{formatnum:-7.3}}}} || 104 | |||
|- | |||
| style="text-align:left;" data-sort-value="Trinidad and Tobago" | {{TTO}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:52.5}} || data-sort-value="10" | {{Increase}} {{formatnum:1.0}} || 46 | |||
|- | |||
| style="text-align:left;" data-sort-value="Tunisia" | {{TUN}} || style="text-align:left;" | Middle East & North Africa || {{formatnum:45.3}} || data-sort-value="5" | {{Increase}} {{formatnum:0.5}} || 78 | |||
|- | |||
| style="text-align:left;" data-sort-value="Taiwan, China" | {{TWN}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:50.1}} || data-sort-value="-1" | {{Decrease}} {{formatnum:-0.1}} || 53 | |||
|- | |||
| style="text-align:left;" data-sort-value="Tanzania" | {{TZA}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:43.6}} || data-sort-value="56" | {{Increase}} {{formatnum:5.6}} || 88 | |||
|- | |||
| style="text-align:left;" data-sort-value="Uganda" | {{UGA}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:35.8}} || data-sort-value="42" | {{Increase}} {{formatnum:4.2}} || 128 | |||
|- | |||
| style="text-align:left;" data-sort-value="Ukraine" | {{UKR}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:54.6}} || data-sort-value="73" | {{Increase}} {{formatnum:7.3}} || 39 | |||
|- | |||
| style="text-align:left;" data-sort-value="Uruguay" | {{URY}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:44.1}} || data-sort-value="5" | {{Increase}} {{formatnum:0.5}} || 84 | |||
|- | |||
| style="text-align:left;" data-sort-value="United States" | {{USA}} || style="text-align:left;" | North America || {{formatnum:57.2}} || data-sort-value="2" | {{Increase}} {{formatnum:0.2}} || 33 | |||
|- | |||
| style="text-align:left;" data-sort-value="Uzbekistan" | {{UZB}} || style="text-align:left;" | Europe & Central Asia || {{formatnum:42.6}} || data-sort-value="-13" | {{Decrease}} {{formatnum:-1.3}} || 93 | |||
|- | |||
| style="text-align:left;" data-sort-value="St. Vincent and the Grenadines" | {{VCT}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:54.2}} || data-sort-value="8" | {{Increase}} {{formatnum:0.8}} || 40 | |||
|- | |||
| style="text-align:left;" data-sort-value="Venezuela, RB" | {{VEN}} || style="text-align:left;" | Latin America & Caribbean || {{formatnum:53.3}} || data-sort-value="11" | {{Increase}} {{formatnum:1.1}} || 42 | |||
|- | |||
| style="text-align:left;" data-sort-value="Vietnam" | {{VNM}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:24.6}} || data-sort-value="-37" | {{Decrease}} {{formatnum:-3.7}} || 153 | |||
|- | |||
| style="text-align:left;" data-sort-value="Vanuatu" | {{VUT}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:45.0}} || data-sort-value="93" | {{Increase}} {{formatnum:9.3}} || 79 | |||
|- | |||
| style="text-align:left;" data-sort-value="Samoa" | {{WSM}} || style="text-align:left;" | East Asia & Pacific || {{formatnum:47.1}} || data-sort-value="60" | {{Increase}} {{formatnum:6.0}} || 69 | |||
|- | |||
| style="text-align:left;" data-sort-value="South Africa" | {{ZAF}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:42.7}} || data-sort-value="44" | {{Increase}} {{formatnum:4.4}} || 92 | |||
|- | |||
| style="text-align:left;" data-sort-value="Zambia" | {{ZMB}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:46.7}} || data-sort-value="39" | {{Increase}} {{formatnum:3.9}} || 72 | |||
|- | |||
| style="text-align:left;" data-sort-value="Zimbabwe" | {{ZWE}} || style="text-align:left;" | Sub-Saharan Africa || {{formatnum:51.6}} || data-sort-value="95" | {{Increase}} {{formatnum:9.5}} || 48 | |||
|} | |} | ||
==EPI scores== | == EPI scores vs. GDP per capita, 2024 == | ||
=== 2022 === | |||
The Environmental Performance Index for the year 2024 ranks 180 countries.<ref>{{cite web |title=2022 EPI Results |url=https://epi.yale.edu/epi-results/2024/component/epi |website=Environmental Performance Index |access-date=22 November 2020}}</ref> | |||
] | |||
'''Top 35 countries and score''' | |||
EPI scores are positively correlated with a country's wealth, although after a point, increasing wealth yields diminishing. returns. At every level of economic development, though, some countries outperform their peers while others lag. Some of the poorest countries in the world outperform some of the richest. In this regard, factors other than wealth, such as investments in human development, rule of law, and regulatory quality, are stronger predictors of environmental performance.<ref name="EPIsummary">{{cite web |author= |year=2024 |title=2024 Environmental Performance Index. Policymakers' Summary |location=New Haven, CT |publisher=Yale Center for Environmental Law & Policy & Center for International Earth Science Information Network Earth Institute, Columbia University |website=epi.yale.edu |url=https://epi.yale.edu/ |date=2024-10-03 |access-date=2024-10-24}}</ref> | |||
{{columns-list|colwidth=22em| | |||
# {{flag|Estonia}} 75.3 | |||
# {{flag|Luxembourg}} 75.0 | |||
# {{flag|Germany}} 74.6 | |||
# {{flag|Finland}} 73.7 | |||
# {{flag|United Kingdom}} 72.7 | |||
# {{flag|Sweden}} 70.5 | |||
# {{flag|Norway}} 70.0 | |||
# {{flag|Austria}} 69.0 | |||
# {{flag|Switzerland}} 68.0 | |||
# {{flag|Denmark}} 67.9 | |||
# {{flag|Greece}} 67.4 | |||
# {{flag|Netherlands}} 67.4 | |||
# {{flag|France}} 67.1 | |||
# {{flag|Belgium}} 66.7 | |||
# {{flag|Malta}} 66.6 | |||
# {{flag|Ireland}} 65.7 | |||
# {{flag|Czech Republic}} 65.6 | |||
# {{flag|Slovakia}} 65 | |||
# {{flag|Poland}} 64.4 | |||
# {{flag|Iceland}} 64.3 | |||
# {{flag|Spain}} 64.2 | |||
# {{flag|Lithuania}} 63.9 | |||
# {{flag|Australia}} 63.0 | |||
# {{flag|Croatia}} 62.6 | |||
# {{flag|Slovenia}} 62.5 | |||
# {{flag|Portugal}} 62.2 | |||
# {{flag|Japan}} 61.7 | |||
# {{flag|Canada}} 61.1 | |||
# {{flag|Italy}} 60.5 | |||
# {{flag|Hungary}} 60.1 | |||
# {{flag|Latvia}} 59.9 | |||
# {{flag|Belarus}} 58.1 | |||
#{{flag|New Zealand}} 57.7 | |||
#{{flag|USA}} 57.3 | |||
#{{flag|Romania}} 57.2 | |||
}} | |||
Wealth allows countries to make investments in the infrastructure required to provide clean drinking water, safely manage waste, and rapidly expand renewable energy. But wealth also leads to higher material consumption and its associated environmental impacts, such as higher rates of waste generation, GHG emissions, and ecosystem degradation. Many countries with high scores in some Ecosystem Vitality metrics — such as those measuring the pollution from pesticides and fertilizers in agriculture, the integrity of forest landscapes, and the use of destructive fishing methods — do so because their economies are stagnant and underdeveloped.<ref name="EPIreport" /> | |||
==Criticisms== | |||
The methodology for the EPI has been criticized for its arbitrary choice of metrics which could introduce bias, and its poor performance as an indicator for environmental sustainability.<ref name="prudue1">{{cite journal |last1=Kanmani |first1=Aiyshwariya |last2=Obringer |first2=Renee |last3=Rachunok |first3=Benjamin |last4=Nateghi |first4=Roshanak |title=Assessing Global Environmental Sustainability Via an Unsupervised Clustering Framework |journal= Sustainability|date=11 January 2020 |volume=12 |issue=2 |page=563 |doi=10.3390/su12020563 |url=https://docs.lib.purdue.edu/fund/4 |access-date=15 May 2021|doi-access=free }}</ref> Additional criticisms center on the EPI's lack of specific policy suggestions, and the index's weighting biases against data deficient countries that has led to the overlooking of ecological progress in developing countries. Below is a quote from the abstract: | |||
Developing countries must be careful not to repeat the mistakes of nations that followed a dirty and unsustainable path to industrialization. On the other hand, rich countries need to decouple their consumption from environmental degradation and use their wealth to help developing countries leapfrog to a path of truly sustainable development, preserving their biodiversity and other global commons for the benefit of all humankind.<ref name="EPIpdf" /><ref name="EPIreport" /><ref name="EPIsummary" /> | |||
::Jordan spent 2001–2006 in a node represented by lower life expectancy due to particulate matter emissions (PME), but, from 2007 to 2010, the country shifted to a node with a lower PME magnitude—indicating a positive shift in overall environmental sustainability. By following the EPI ranking, the policymakers in Jordan may have assumed that their decisions between 2006 and 2008 led to a deterioration in environmental sustainability, when, in fact, the inconsistent nature of the weighting process involved in the EPI rankings is a likely cause...<ref name="prudue1" /> | |||
{{clr}} | |||
== References == | |||
In 2024, India was ranked at 176 in the list and rejected the low ranking. As per a statement issued by the Ministry of Environment, Forests and Climate Change (MoEF&CC), it claimed that several indicators used in the calculation were based on unfounded assumptions and unscientific methods.<ref name="india rejects">{{cite news |last1=Banerjee |first1=Ankush |title=What Happened to Green India? Ranked Lowest as per Environmental Performance Index, India Disputes Methodology |url=https://www.businessinsider.in/sustainability/news/sci-simplified-what-happened-to-green-india-ranked-lowest-as-per-environmental-performance-index-india-disputes-methodology/articleshow/92564174.cms |work=Business Insider}}</ref><ref name="india rejection 2">{{cite news |title=India's lagging sustainability performance |url=https://www.hindustantimes.com/opinion/indias-lagging-sustainability-performance-101656338200590.html |work=Hindustan Times |date=27 June 2022 |language=en}}</ref><ref name="9 india">{{cite news |last1=Roy |first1=Esha |title=Explained: What is the environment index, and why has India questioned it? |url=https://indianexpress.com/article/explained/environment-index-and-india-7963597/ |work=The Indian Express |date=11 June 2022 |language=en}}</ref> | |||
{{reflist|2}} | |||
==See also== | == See also == | ||
*] (EVI) | *] (EVI) | ||
*] | |||
==References== | |||
{{reflist|2|refs= | |||
<!--unused<ref name=EPI2012>{{cite web|title=2010 EPI Rankings |url=http://epi.yale.edu/epi2012/rankings |archive-url=https://archive.today/20120505092852/http://epi.yale.edu/epi2012/rankings |url-status=dead |archive-date=5 May 2012 |access-date=25 January 2012 |author=Yale Center for Environmental Law & Policy / Center for International Earth Science Information Network at Columbia University }}</ref>--> | |||
<!--unused<ref name="Rank2014">{{Cite web|url=http://epi.yale.edu/epi/country-rankings |archive-url=https://archive.today/20140129142747/http://epi.yale.edu/epi/country-rankings |url-status=dead |archive-date=29 January 2014 |title=Country Rankings |date=25 January 2014 |access-date=29 January 2014 |publisher=Yale }}</ref>--> | |||
}} | |||
==External links== | ==External links== | ||
* | |||
* – EPI – A collaboration between ] and ] Universities | |||
* |
* – Center for Environmental Law & Policy | ||
* | |||
{{Quality of life country lists}} | {{Quality of life country lists}} |
Latest revision as of 02:34, 28 October 2024
Climate IndexThe Environmental Performance Index (EPI) is a method of quantifying and numerically marking the environmental performance of a state's policies, highlightning the degradation of the planet's life-supporting systems on which humanity depends. A world economy that continues to rely heavily on fossil fuels translates into ongoing air and water pollution, acidification of the oceans, and rising concentrations of greenhouse gases in the atmosphere. These changes threaten the survival of species already suffering from widespread habitat loss, pushing them closer to extinction. Recent analyses show that humanity has already transgressed six out of nine critical planetary boundaries that define Earth's safe operating space — and is close to crossing a seventh.
The Environmental Performance Index (EPI) was started in 2002 by World Economic Forum in association with the Yale Center for Environmental Law & Policy (Yale University) and Center for International Earth Science Information Network Earth Institute (Columbia University). The biennial EPI report harnesses the latest data sets, science, and technology to provide the most comprehensive assessment of the state of sustainability around the world. In total, the 2024 EPI report incorporates 58 indicators to rank 180 countries on their progress at mitigating climate change, safeguarding ecosystem vitality, and promoting environmental health. This broad set of metrics is a powerful tool to track progress towards the UN Sustainable Development Goals, the climate mitigation targets in the 2015 Paris Climate Change Agreement, and the biodiversity protection goals in the Kunming-Montreal Global Biodiversity Framework.
In 2023, the first global assessment of progress toward the goals of the Paris Agreement revealed a grim picture: the world is far off track. Despite record deployment of renewable energy, greenhouse gas (GHG) emissions keep rising. As the world enters uncharted climatic territory, there is a heightened risk of crossing irreversible tipping points in the planet's climate system.
Methodology
Over time, the methodology for the EPI has been criticized for its arbitrary choice of metrics which could introduce bias, and its poor performance as an indicator for environmental sustainability. Additional criticisms center on the EPI's lack of specific policy suggestions, and the index's weighting biases against data deficient countries that has led to the overlooking of ecological progress in developing countries.
In 2024, India was ranked at 176 in the list and rejected the low ranking. As per a statement issued by the Ministry of Environment, Forests and Climate Change (MoEF&CC), it claimed that several indicators used in the calculation were based on unfounded assumptions and unscientific methods.
The United Nations Economic Commission for Europe found 3 Pros: EPI provides an easily comparable index; EPI's ecosystem vitality scores are based on six constituent policy categories: water resources, agriculture, forests, fisheries, biodiversity and habitat, and climate and energy; the referenced database yields maps for each of EPI's partial indices (normalised to 0 … 100) and 3 Cons: CIESIN's EPI rather is an attempt to quantitatively represent the ecological performance of countries and companies; actual reasons for dysfunctionalities might need further research; EPI would be a more policy-relevant index.
As a result of these criticisms, the number of EPI indicators has increased, and their weight has changed, to provide a better data-driven summary of the state of sustainability around the world. The 2024 index is based on 58 performance indicators grouped into 30 issue categories with an objective of environmental health, ecosystem vitality and climate change, ranking 180 countries.
Policy Objective | Wt. (%) | Issue Category | Wt. (%) | Indicator | Wt. (%) |
---|---|---|---|---|---|
Ecosystem Vitality | 45% | Biodiversity & Habitat | 25 | Marine KBA Protection | 12.0 |
Marine Habitat Protection | 12.0 | ||||
Marine Protection Stringency | 2.0 | ||||
Protected Areas Representativeness Index | 12.0 | ||||
Species Protection Index | 16.0 | ||||
Terrestrial Biome Protection | 10.0 | ||||
Terrestrial KBA Protection | 10.0 | ||||
Protected Area Effectiveness | 2.0 | ||||
Protected Human Land | 2.0 | ||||
Red List Index | 12.0 | ||||
Species Habitat Index | 8.0 | ||||
Bioclimatic Ecosystem Resilience | 2.0 | ||||
Forests | 5 | Primary Forest Loss | 30.0 | ||
Intact Forest Landscape Loss | 30.0 | ||||
Tree cover loss weighted by permanency | 25.0 | ||||
Net change in tree cover | 10.0 | ||||
Forest Landscape Integrity | 5.0 | ||||
Fisheries | 2 | Fish Stock Status | 15.0 | ||
Fish Catch Discarded | 20.0 | ||||
Bottom Trawling in EEZ | 25.0 | ||||
Bottom Trawling in Global Ocean | 35.0 | ||||
Regional Marine Trophic Index | 5.0 | ||||
Air Pollution | 6 | Ozone exposure KBAs | 8.3 | ||
Ozone exposure croplands | 8.3 | ||||
Adj. emissions growth rate for nitrous oxides | 41.7 | ||||
Adj. emissions growth rate for sulfur dioxide | 41.7 | ||||
Agriculture | 3 | Sustainable Nitrogen Management Index | 40.0 | ||
Phosphorus Surplus | 3.3 | ||||
Pesticide Pollution Risk | 16.7 | ||||
Relative Crop Yield | 40.0 | ||||
Water Resources | 5 | Wastewater generated | 10.0 | ||
Wastewater collected | 40.0 | ||||
Wastewater treated | 40.0 | ||||
Wastewater reused | 10.0 | ||||
Environmental Health | 25% | Air Quality | 17 | Anthropogenic PM2.5 exposure | 38.2 |
Household solid fuels | 38.2 | ||||
Ozone exposure | 8.8 | ||||
NOx exposure | 5.9 | ||||
SO2 exposure | 2.9 | ||||
CO exposure | 2.9 | ||||
VOC exposure | 2.9 | ||||
Sanitation & Drinking Water | 5 | Unsafe sanitation | 40.0 | ||
Unsafe drinking water | 60.0 | ||||
Heavy Metals | 2 | Lead exposure | 100.0 | ||
Waste Management | 1 | Waste generated per capita | 40.0 | ||
Controlled solid waste | 20.0 | ||||
Waste recovery rate | 40.0 | ||||
Climate Change | 30% | Climate Change Mitigation | 30 | Adjusted emissions growth rate for carbon dioxide | 25.0 |
CO2 growth rate (country- specific targets) | 1.7 | ||||
Adjusted emissions growth rate for methane | 10.0 | ||||
Adjusted emissions growth rate for F-gases | 6.7 | ||||
Adjusted emissions growth rate for nitrous oxide | 3.3 | ||||
Adjusted emissions growth rate for black carbon | 5.0 | ||||
Net carbon fluxes due to land cover change | 3.3 | ||||
GHG growth rate adjusted by emissions intensity | 20.0 | ||||
GHG growth rate adjusted by per capita emissions | 20.0 | ||||
Projected emissions in 2050 | 3.3 | ||||
Projected cumulative emissions to 2050 relative to carbon budget | 1.7 | ||||
Note: Wt. (%) is percent weights of overall EPI. Weights are rounded and may not add up to 100%. |
List of countries by 2024 EPI scores
The 2024 Environmental Performance Index report ranks 180 countries and territories, based on 58 performance indicators grouped into 30 issue categories. The top five countries are Estonia, Luxembourg, Germany, Finland and the United Kingdom, while the last ones are India, Myanmar, Laos, Pakistan and Vietnam. Sorting is alphabetical by country code, according to ISO 3166-1 alpha-3.
Country | Region | Value | Trend | Rank 2024 |
---|---|---|---|---|
Afghanistan | South Asia | 31.0 | 12.8 | 144 |
Angola | Sub-Saharan Africa | 40.1 | 8.2 | 106 |
Albania | Europe & Central Asia | 52.2 | 6.1 | 47 |
United Arab Emirates | Middle East & North Africa | 51.6 | 9.1 | 48 |
Argentina | Latin America & Caribbean | 47.0 | 1.1 | 70 |
Armenia | Europe & Central Asia | 44.9 | 2.0 | 80 |
Antigua and Barbuda | Latin America & Caribbean | 55.6 | 1.2 | 37 |
Australia | East Asia & Pacific | 63.1 | 4.2 | 22 |
Austria | Europe & Central Asia | 68.9 | 0.1 | 8 |
Azerbaijan | Europe & Central Asia | 40.5 | −0.3 | 103 |
Burundi | Sub-Saharan Africa | 33.5 | −1.3 | 138 |
Belgium | Europe & Central Asia | 66.8 | 4.9 | 14 |
Benin | Sub-Saharan Africa | 37.8 | −0.3 | 119 |
Burkina Faso | Sub-Saharan Africa | 42.2 | 0.1 | 95 |
Bangladesh | South Asia | 28.1 | 2.3 | 148 |
Bulgaria | Europe & Central Asia | 56.2 | −1.2 | 35 |
Bahrain | Middle East & North Africa | 35.3 | −1.4 | 131 |
Bahamas | Latin America & Caribbean | 55.9 | 1.6 | 36 |
Bosnia and Herzegovina | Europe & Central Asia | 46.0 | 3.3 | 75 |
Belarus | Europe & Central Asia | 58.2 | 8.7 | 31 |
Belize | Latin America & Caribbean | 47.4 | 0.9 | 67 |
Bolivia | Latin America & Caribbean | 45.3 | 3.4 | 78 |
Brazil | Latin America & Caribbean | 53.0 | 6.7 | 44 |
Barbados | Latin America & Caribbean | 53.1 | 2.6 | 43 |
Brunei | East Asia & Pacific | 48.3 | −3.1 | 62 |
Bhutan | South Asia | 43.3 | 6.8 | 89 |
Botswana | Sub-Saharan Africa | 49.2 | −1.8 | 59 |
Central African Republic | Sub-Saharan Africa | 39.0 | −5.1 | 111 |
Canada | North America | 61.1 | 3.5 | 27 |
Switzerland | Europe & Central Asia | 67.8 | 2.3 | 9 |
Chile | Latin America & Caribbean | 49.6 | 3.0 | 57 |
China | East Asia & Pacific | 35.4 | 5.6 | 130 |
Ivory Coast | Sub-Saharan Africa | 42.9 | 7.8 | 90 |
Cameroon | Sub-Saharan Africa | 38.6 | 2.2 | 114 |
Democratic Republic of the Congo | Sub-Saharan Africa | 39.5 | 6.0 | 109 |
Republic of the Congo | Sub-Saharan Africa | 41.6 | 0.9 | 99 |
Colombia | Latin America & Caribbean | 49.7 | 4.4 | 56 |
Comoros | Sub-Saharan Africa | 38.2 | −5.9 | 115 |
Cape Verde | Sub-Saharan Africa | 38.0 | −1.8 | 117 |
Costa Rica | Latin America & Caribbean | 55.5 | 0.2 | 38 |
Cuba | Latin America & Caribbean | 52.5 | 2.5 | 46 |
Cyprus | Europe & Central Asia | 53.9 | −0.2 | 41 |
Czech Republic | Europe & Central Asia | 65.5 | 0.4 | 16 |
Germany | Europe & Central Asia | 74.5 | 4.3 | 3 |
Djibouti | Middle East & North Africa | 32.3 | 0.2 | 141 |
Dominica | Latin America & Caribbean | 49.3 | −0.2 | 58 |
Denmark | Europe & Central Asia | 67.7 | −0.3 | 10 |
Dominican Republic | Latin America & Caribbean | 47.7 | −1.1 | 66 |
Algeria | Middle East & North Africa | 41.7 | 3.2 | 98 |
Ecuador | Latin America & Caribbean | 51.3 | 7.0 | 49 |
Egypt | Middle East & North Africa | 43.7 | 3.5 | 87 |
Eritrea | Sub-Saharan Africa | 29.0 | −0.3 | 147 |
Spain | Europe & Central Asia | 64.0 | 2.2 | 21 |
Estonia | Europe & Central Asia | 75.7 | 14.9 | 1 |
Ethiopia | Sub-Saharan Africa | 36.3 | 3.8 | 125 |
Finland | Europe & Central Asia | 73.8 | 3.1 | 4 |
Fiji | East Asia & Pacific | 46.0 | −2.4 | 75 |
France | Europe & Central Asia | 67.0 | 1.6 | 12 |
Federated States of Micronesia | East Asia & Pacific | 40.8 | 0.3 | 101 |
Gabon | Sub-Saharan Africa | 53.3 | 7.3 | 42 |
United Kingdom | Europe & Central Asia | 72.6 | 1.3 | 5 |
Georgia | Europe & Central Asia | 47.3 | 6.2 | 68 |
Ghana | Sub-Saharan Africa | 36.9 | 1.8 | 122 |
Guinea | Sub-Saharan Africa | 36.5 | −2.9 | 123 |
Gambia | Sub-Saharan Africa | 37.6 | 0.6 | 120 |
Guinea-Bissau | Sub-Saharan Africa | 42.0 | −0.5 | 96 |
Equatorial Guinea | Sub-Saharan Africa | 41.7 | −3.3 | 98 |
Greece | Europe & Central Asia | 67.3 | 8.9 | 11 |
Grenada | Latin America & Caribbean | 45.8 | 0.4 | 76 |
Guatemala | Latin America & Caribbean | 32.5 | −2.8 | 140 |
Guyana | Latin America & Caribbean | 49.0 | 2.3 | 60 |
Honduras | Latin America & Caribbean | 40.2 | 2.9 | 105 |
Croatia | Europe & Central Asia | 62.3 | 4.9 | 24 |
Haiti | Latin America & Caribbean | 36.4 | 7.7 | 124 |
Hungary | Europe & Central Asia | 59.8 | −1.3 | 30 |
Indonesia | East Asia & Pacific | 33.6 | 5.8 | 137 |
India | South Asia | 27.6 | 4.2 | 149 |
Ireland | Europe & Central Asia | 65.8 | 2.8 | 15 |
Iran | Middle East & North Africa | 41.8 | 0.0 | 97 |
Iraq | Middle East & North Africa | 30.3 | 6.4 | 145 |
Iceland | Europe & Central Asia | 64.3 | 2.5 | 18 |
Israel | Middle East & North Africa | 48.0 | 0.6 | 63 |
Italy | Europe & Central Asia | 60.3 | 4.8 | 28 |
Jamaica | Latin America & Caribbean | 48.5 | 1.0 | 61 |
Jordan | Middle East & North Africa | 47.3 | 10.1 | 68 |
Japan | East Asia & Pacific | 61.4 | 4.2 | 26 |
Kazakhstan | Europe & Central Asia | 47.8 | 4.0 | 65 |
Kenya | Sub-Saharan Africa | 36.9 | −0.2 | 122 |
Kyrgyzstan | Europe & Central Asia | 42.8 | 13.0 | 91 |
Cambodia | East Asia & Pacific | 31.2 | 0.0 | 143 |
Kiribati | East Asia & Pacific | 44.3 | −1.1 | 82 |
South Korea | East Asia & Pacific | 50.6 | 4.9 | 51 |
Kuwait | Middle East & North Africa | 44.4 | −1.8 | 81 |
Laos | East Asia & Pacific | 26.3 | 2.0 | 151 |
Lebanon | Middle East & North Africa | 39.9 | 7.9 | 108 |
Liberia | Sub-Saharan Africa | 34.3 | 1.3 | 135 |
Saint Lucia | Latin America & Caribbean | 51.1 | 2.1 | 50 |
Sri Lanka | South Asia | 38.8 | 1.8 | 112 |
Lesotho | Sub-Saharan Africa | 36.9 | 0.1 | 122 |
Lithuania | Europe & Central Asia | 64.1 | 4.6 | 20 |
Luxembourg | Europe & Central Asia | 75.1 | 3.4 | 2 |
Latvia | Europe & Central Asia | 60.2 | 1.2 | 29 |
Morocco | Middle East & North Africa | 39.5 | 2.6 | 109 |
Moldova | Europe & Central Asia | 46.1 | 2.8 | 74 |
Madagascar | Sub-Saharan Africa | 30.1 | 0.8 | 146 |
Maldives | South Asia | 38.1 | 2.8 | 116 |
Mexico | Latin America & Caribbean | 44.2 | 2.2 | 83 |
Marshall Islands | East Asia & Pacific | 42.5 | 0.8 | 94 |
North Macedonia | Europe & Central Asia | 50.3 | 1.2 | 52 |
Mali | Sub-Saharan Africa | 34.5 | −3.3 | 134 |
Malta | Middle East & North Africa | 66.9 | 4.7 | 13 |
Myanmar | East Asia & Pacific | 27.1 | −1.4 | 150 |
Montenegro | Europe & Central Asia | 47.7 | −0.5 | 66 |
Mongolia | East Asia & Pacific | 37.2 | 5.4 | 121 |
Mozambique | Sub-Saharan Africa | 39.0 | 5.2 | 111 |
Mauritania | Sub-Saharan Africa | 34.6 | −3.5 | 133 |
Mauritius | Sub-Saharan Africa | 47.3 | 2.9 | 68 |
Malawi | Sub-Saharan Africa | 35.1 | −6.7 | 132 |
Malaysia | East Asia & Pacific | 41.0 | 7.3 | 100 |
Namibia | Sub-Saharan Africa | 44.0 | −0.1 | 85 |
Niger | Sub-Saharan Africa | 40.0 | 7.3 | 107 |
Nigeria | Sub-Saharan Africa | 37.9 | 4.7 | 118 |
Nicaragua | Latin America & Caribbean | 47.4 | 1.2 | 67 |
Netherlands | Europe & Central Asia | 66.9 | 4.4 | 13 |
Norway | Europe & Central Asia | 69.9 | 3.3 | 7 |
Nepal | South Asia | 33.1 | 0.7 | 139 |
New Zealand | East Asia & Pacific | 57.3 | 1.1 | 32 |
Oman | Middle East & North Africa | 51.3 | 12.9 | 49 |
Pakistan | South Asia | 25.5 | −4.0 | 152 |
Panama | Latin America & Caribbean | 52.9 | 5.2 | 45 |
Peru | Latin America & Caribbean | 46.5 | 3.9 | 73 |
Philippines | East Asia & Pacific | 32.1 | 0.4 | 142 |
Papua New Guinea | East Asia & Pacific | 36.9 | −3.6 | 122 |
Poland | Europe & Central Asia | 64.2 | 1.8 | 19 |
Portugal | Europe & Central Asia | 61.9 | 4.1 | 25 |
Paraguay | Latin America & Caribbean | 39.5 | 0.7 | 109 |
Qatar | Middle East & North Africa | 46.8 | 5.6 | 71 |
Romania | Europe & Central Asia | 57.3 | −3.1 | 32 |
Russia | Europe & Central Asia | 46.7 | −0.1 | 72 |
Rwanda | Sub-Saharan Africa | 33.9 | −0.3 | 136 |
Saudi Arabia | Middle East & North Africa | 42.5 | 9.5 | 94 |
Sudan | Sub-Saharan Africa | 39.1 | 3.9 | 110 |
Senegal | Sub-Saharan Africa | 43.8 | 4.8 | 86 |
Singapore | East Asia & Pacific | 53.0 | 6.5 | 44 |
Solomon Islands | East Asia & Pacific | 42.2 | 1.6 | 95 |
Sierra Leone | Sub-Saharan Africa | 39.9 | 5.3 | 108 |
El Salvador | Latin America & Caribbean | 41.6 | −4.4 | 99 |
Serbia | Europe & Central Asia | 49.8 | −5.6 | 55 |
São Tomé and Príncipe | Sub-Saharan Africa | 36.2 | 1.8 | 126 |
Suriname | Latin America & Caribbean | 56.9 | 8.6 | 34 |
Slovakia | Europe & Central Asia | 65.1 | −1.6 | 17 |
Slovenia | Europe & Central Asia | 62.4 | 0.0 | 23 |
Sweden | Europe & Central Asia | 70.3 | 0.2 | 6 |
Eswatini | Sub-Saharan Africa | 38.7 | −2.4 | 113 |
Seychelles | Sub-Saharan Africa | 47.9 | −3.9 | 64 |
Chad | Sub-Saharan Africa | 35.9 | 2.0 | 127 |
Togo | Sub-Saharan Africa | 35.7 | −1.1 | 129 |
Thailand | East Asia & Pacific | 45.7 | 4.5 | 77 |
Tajikistan | Europe & Central Asia | 32.3 | −4.2 | 141 |
Turkmenistan | Europe & Central Asia | 40.6 | 4.9 | 102 |
Timor-Leste | East Asia & Pacific | 49.9 | 9.6 | 54 |
Tonga | East Asia & Pacific | 40.4 | −7.3 | 104 |
Trinidad and Tobago | Latin America & Caribbean | 52.5 | 1.0 | 46 |
Tunisia | Middle East & North Africa | 45.3 | 0.5 | 78 |
Taiwan | East Asia & Pacific | 50.1 | −0.1 | 53 |
Tanzania | Sub-Saharan Africa | 43.6 | 5.6 | 88 |
Uganda | Sub-Saharan Africa | 35.8 | 4.2 | 128 |
Ukraine | Europe & Central Asia | 54.6 | 7.3 | 39 |
Uruguay | Latin America & Caribbean | 44.1 | 0.5 | 84 |
United States | North America | 57.2 | 0.2 | 33 |
Uzbekistan | Europe & Central Asia | 42.6 | −1.3 | 93 |
Saint Vincent and the Grenadines | Latin America & Caribbean | 54.2 | 0.8 | 40 |
Venezuela | Latin America & Caribbean | 53.3 | 1.1 | 42 |
Vietnam | East Asia & Pacific | 24.6 | −3.7 | 153 |
Vanuatu | East Asia & Pacific | 45.0 | 9.3 | 79 |
Samoa | East Asia & Pacific | 47.1 | 6.0 | 69 |
South Africa | Sub-Saharan Africa | 42.7 | 4.4 | 92 |
Zambia | Sub-Saharan Africa | 46.7 | 3.9 | 72 |
Zimbabwe | Sub-Saharan Africa | 51.6 | 9.5 | 48 |
EPI scores vs. GDP per capita, 2024
EPI scores are positively correlated with a country's wealth, although after a point, increasing wealth yields diminishing. returns. At every level of economic development, though, some countries outperform their peers while others lag. Some of the poorest countries in the world outperform some of the richest. In this regard, factors other than wealth, such as investments in human development, rule of law, and regulatory quality, are stronger predictors of environmental performance.
Wealth allows countries to make investments in the infrastructure required to provide clean drinking water, safely manage waste, and rapidly expand renewable energy. But wealth also leads to higher material consumption and its associated environmental impacts, such as higher rates of waste generation, GHG emissions, and ecosystem degradation. Many countries with high scores in some Ecosystem Vitality metrics — such as those measuring the pollution from pesticides and fertilizers in agriculture, the integrity of forest landscapes, and the use of destructive fishing methods — do so because their economies are stagnant and underdeveloped.
Developing countries must be careful not to repeat the mistakes of nations that followed a dirty and unsustainable path to industrialization. On the other hand, rich countries need to decouple their consumption from environmental degradation and use their wealth to help developing countries leapfrog to a path of truly sustainable development, preserving their biodiversity and other global commons for the benefit of all humankind.
References
- ^ Block, S.; Emerson, J.W.; Esty, D.C.; de Sherbinin, A.; Wendling, Z.A.; et al. (2024-10-03). "2024 Environmental Performance Index. Technical Appendix" (PDF). epi.yale.edu. New Haven, CT: Yale Center for Environmental Law & Policy. Retrieved 2024-10-24.
{{cite web}}
: CS1 maint: date and year (link) CS1 maint: multiple names: authors list (link) - ^ "2024 Environmental Performance Index". epi.yale.edu. New Haven, CT: Yale Center for Environmental Law & Policy & Center for International Earth Science Information Network Earth Institute, Columbia University. 2024-10-03. Retrieved 2024-10-24.
{{cite web}}
: CS1 maint: date and year (link) - ^ Kanmani, Aiyshwariya; Obringer, Renee; Rachunok, Benjamin; Nateghi, Roshanak (2020-01-11). "Assessing Global Environmental Sustainability Via an Unsupervised Clustering Framework". Sustainability. 12 (2): 563. doi:10.3390/su12020563. Retrieved 2024-10-24.
- Banerjee, Ankush. "What Happened to Green India? Ranked Lowest as per Environmental Performance Index, India Disputes Methodology". Business Insider. Retrieved 2024-10-24.
- "India's lagging sustainability performance". Hindustan Times. 2022-06-27. Retrieved 2024-10-24.
- Roy, Esha (2022-06-11). "Explained: What is the environment index, and why has India questioned it?". The Indian Express. Retrieved 2024-10-24.
- "Environmental performance index EPI. Pros & Cons". unece.org. United Nations Economic Commission for Europe. Retrieved 2024-10-24.
- ^ "2024 Weights" (CSV). epi.yale.edu. New Haven, CT: Yale Center for Environmental Law & Policy. Retrieved 2024-10-24.
- ^ Block, S.; Emerson, J.W.; Esty, D.C.; de Sherbinin, A.; Wendling, Z.A.; et al. (2024-10-03). "2024 Environmental Performance Index" (PDF). epi.yale.edu. New Haven, CT: Yale Center for Environmental Law & Policy. Retrieved 2024-10-24.
{{cite web}}
: CS1 maint: date and year (link) CS1 maint: multiple names: authors list (link) - ^ "2024 Environmental Performance Index. Policymakers' Summary". epi.yale.edu. New Haven, CT: Yale Center for Environmental Law & Policy & Center for International Earth Science Information Network Earth Institute, Columbia University. 2024-10-03. Retrieved 2024-10-24.
{{cite web}}
: CS1 maint: date and year (link)
See also
External links
- The Environmental Performance Index - interactive map
- The Environmental Performance Index – Center for Environmental Law & Policy