Socially Efficient Solutions to Meet Climate Policy Ambitions
In this session, we will:
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- Optimised Measurement, Monitoring, and Identification: National Scale – Statistical Data, Local Scale – Administrative Data, keep Surveys for Experiments
- Based on statistical data: combine multiple indicators to create a single, Multidimensional Energy Poverty Index
1.5 milion (11%) households in energy poverty in Poland in 2021 - Based on administrative data: combine multiple indicators to have indentification of energy-poor households and prioritise support
- Based on administrative data in Warsaw on incomes, heating sources and buildings we map areas where interventions bring the most social and environmental benefits
- Use surveys to run experiments. From the respondents’ choices you can learn what is their preferred policy solution for ETS 2 and Social Climate Fund
- Based on survey experiments, look for socially efficient solutions: run experiments to learn the preferences of people in need of support
- We know an optimum amount of money and preferred support form to lower the aversion to carbon tax crucial information for planning ETS 2 and Social Climate Fund redistribution
- Based on statistical data: combine multiple indicators to create a single, Multidimensional Energy Poverty Index
- Optimised Measurement, Monitoring, and Identification: National Scale – Statistical Data, Local Scale – Administrative Data, keep Surveys for Experiments
Our Speaker
Jakub Sokolowski | Economoist
