National Ecological Footprint and GDP Growth
Tracking Absolute Decoupling in 36 Countries Worldwide
By IBM Watson AI XPRIZE - Environment [source]
About this dataset
This dataset, National Footprint Accounts (NFAs): 2009-2013, provides incredible insights into the relationship between GDP growth and natural resource consumption. It allows us to gain a clearer understanding of how economic growth is coupled with consumptions of ecological resources over this five year period. This data was obtained from the Worldbank’s World Development Indicators and the United Nations data sets.
It reveals valuable metrics including Ecological Footprint per capita for countries from 1961-2013 in global hectares (gha). Furthermore, it encompasses comprehensive figures such as total ecological footprint, carbon footprint and areas used for crop production, grazing land, forestry and fishing grounds along with built up land purposes as well. The degree of decoupling – defined by percent growth in GDP minus percent growth in EF – helps us ascertain which countries achieved absolute decoupling by having an increased GDP rate while simultaneously reducing their Ecological Footprint thus encouraging a more sustainable existence and development through their economy’s capabilities
In addition to visualizing our data through scatterplots that plot the relationship between these metrics over time; we highlight through maps nations ranking of total EF, GDP & EF Growth in both directions (both negative & positive values), Percentage change in each metric with respect to 2009 i.e., DDelta_P ,EFDelta_P ,GDPDelta_P etc; Quality Scores and much more! This intriguing set offers an ample opportunity for profound exploration into relations among nations based on resource management practices - something that will surely have reverberating effects even further out into generations ahead if utilized appropriately enough!
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Research Ideas
- Using this dataset, governments can assess the efficiency of their economic growth and analyze whether it is coupled with an increase or decrease in the Ecological Footprint left by them. This will allow them to identify areas that need improvement and help implement policies to put their economic development on a sustainable path.
- Businesses can use this dataset to measure its supply chain’s sustainability performance in terms of their Ecological Footprint relative to their economic growth, thereby helping make optimal decisions related both short-term profitability and long-term sustainability goals.
- By comparing various countries’ data points, researchers could develop insights into which strategies work best at achieving absolute decoupling (economic growth alongside decreased environmental impact). They could look for potential indicators that are associated with success or lack thereof for different types of countries/regions and share those insights to influence policy decision makers
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
- You are free to:
- Share - copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt - remix, transform, and build upon the material for any purpose, even commercially.
- You must:
- Give appropriate credit - Provide a link to the license, and indicate if changes were made.
- ShareAlike - You must distribute your contributions under the same license as the original.
Columns
File: EF_GDP(constant2010USD).csv
| Column name |
Description |
| Country |
The name of the country. (String) |
| EF2013 |
The ecological footprint in 2013. (Float) |
| EF2009 |
The ecological footprint in 2009. (Float) |
| GDP2013 |
The GDP in 2013. (Float) |
| GDP2009 |
The GDP in 2009. (Float) |
| EFDelta |
The difference between EF2013 and EF2009. (Float) |
| GDPDelta |
The difference between GDP2013 and GDP2009. (Float) |
| DDelta |
The difference between EFDelta and GDPDelta. (Float) |
| EFDelta_P |
The percent change in EFDelta from 2009 to 2013. (Float) |
| GDPDelta_P |
The percent change in GDPDelta from 2009 to 2013. (Float) |
| DDelta_P |
The percent change in DDelta from 2009 to 2013. (Float) |
| DDelta_Rank |
The rank of the country in terms of DDelta_P. (Integer) |
| EFDelta_Rank |
The rank of the country in terms of EFDelta_P. (Integer) |
| GDPDelta_Rank |
The rank of the country in terms of GDPDelta_P. (Integer) |
| Dec_Flag |
A flag indicating whether a country achieved absolute decoupling (1) or not (0). (Integer) |
| GDP_std |
The standard deviation of GDP from 2009 to 2013. (Float) |
File: NFA 2017 Edition.csv
| Column name |
Description |
| country |
Name of the country. (String) |
| year |
Year of the data. (Integer) |
| country_code |
Country code of the country. (String) |
| record |
Record type. (String) |
| crop_land |
Area of land used for crops. (Float) |
| grazing_land |
Area of land used for grazing. (Float) |
| forest_land |
Area of land used for forests. (Float) |
| fishing_ground |
Area of land used for fishing. (Float) |
| built_up_land |
Area of land used for built-up areas. (Float) |
| carbon |
Carbon footprint. (Float) |
| total |
Total ecological footprint. (Float) |
| QScore |
Quality score. (Integer) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit IBM Watson AI XPRIZE - Environment.