Today, the cheapest way to power a society, is green, clean, renewable electricity. We’ll show the “fossil fuel detour” taken by the West, and how some of the poorest countries in the world are building better from the start.
In this repository, you will find the methodology, data and code behind the stories that came out of this analysis.
Watch the video here: Youtube | DW Planet A | The unexpected way India is beating the U.S.
Story by: Kira Schacht
analysis.Rmdis the main file that contains the R code for the analysisdata/...contains the raw data files used in the analysis
Penn World Table version 11.0: Output-side real GDP at chained PPPs (in mil. 2021US$) per capita
Primary, Final and Useful Energy Database (PFUDB): Final energy consumption by source (TJ/y) and population (1000 persons), for select regions & countries.
- Energy consumption by fuel
- Electricity generation by fuel
Check how similar the two datasets are:
| type | productLabel |
|---|---|
| fossil | Coal, Natural gas, Oil, Coal and coal products, Primary oil, Oil and oil products, Natural gas, Oil products |
| other | Biofuels, Nuclear, Other sources, Waste, Biofuels and waste, Heat, Nuclear |
| renewable | Geothermal, Solar thermal, Hydropower, Solar PV, Tide, Wind, Electricity, Solar, wind and other renewables, Hydropower |
| NA | Total |
Total final consumption (TFC) by source over time
Energy consumption shares: Fossil vs biomass vs electricity&renewable
## # A tibble: 5 × 2
## income renewable
## <chr> <dbl>
## 1 High income 0.298
## 2 Low income 0.496
## 3 Lower middle income 0.394
## 4 Upper middle income 0.220
## 5 <NA> 8.40
Income group averages, China, India, Vietnam, US, Global average
The code used in this analysis was written by the author. For all of our analyses, if any portion of the code is LLM-generated, this is flagged in the script.
All code in this project has been reviewed pre-publication by both the author as well as a second person to ensure quality.
Should you have any questions or notice errors or inconsistencies, please reach out to data-team@dw.com.