Increasing the consumption of those living under the poverty line in the world is necessary to end extreme poverty. However, growing consumption is one of the main drivers of greenhouse gas emissions, creating a potential tension between alleviating poverty and limiting global warming. Most poverty reduction has historically occurred because of economic growth, which means that reducing poverty entails increasing not only the consumption of people living in poverty but also the consumption of people with a higher income. Here we estimate the emissions associated with the economic growth needed to alleviate extreme poverty using the international poverty line of $2.15 per day. Even with historical energy- and carbon-intensity patterns, the global emissions increase associated with alleviating extreme poverty is modest, at 2.37 gigatonnes of carbon dioxide equivalent per year or 4.9% of 2019 global emissions. Lower inequality, higher energy efficiency and decarbonization of energy can ease this tension further: assuming the best historical performance, the emissions for poverty alleviation in 2050 will be reduced by 90%. More ambitious poverty lines require more economic growth in more countries, which leads to significantly higher emissions. The challenge to align the development and climate objectives of the world is not in reconciling extreme poverty alleviation with climate objectives but in providing sustainable middle-income standards of living.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
– OS: Windows 11 Enterprise
– Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
– Memory available: 15.7 GB
– Software version: Stata version 17, R version 4.2
~20 min runtime
To run the script, new users only need to change the directory path of the Main do file and run the R files that create the graphs.
Detailed instructions on each code are provided in the README included in this reproducibility package.
All data is public and contained in the reproducibility package.
Author | Affiliation | |
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Philip Wollburg | World Bank | pwollburg@worldbank.org |
Stephane Hallegatte | World Bank | shallegatte@worldbank.org |
Daniel Gerszon Mahler | World Bank | dmahler@worldbank.org |
2023-10
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World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Daniel Gerszon Mahler | World Bank | dmahler@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reyes Retana | MRR | World Bank | Junior Data Scientist |
2023-11-14
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