1. Who cannot afford on energy in Poland?
Determinants of energy expenditures
Agata Miazga
Maciej Lis
*Project is funded by European Climate Foundation
Gdańsk, 18 VI 2015
2. Energy expenditures in 2013
2
363 PLN monthly per household
13,6% - average percentage of overall households
expenditures
Electric energy as a main energy vehicle
Source: Own elaboration on the basis of Household Budget Survey 2013.
Expected increase in energy prices
4. Richer spend more in villages
than in cities
Income higher by 10% means
higher energy spending by:
4Source: Own elaboration based on Polish HBS 2013.
3%
2%
4%
0%
2%
4%
6%
total city village
5. Richer spend more on heating
than on electricity
Income higher by 10% means
higher spending on:
5
1%
2%
0%
1%
2%
3%
electricity heating
Source: Own elaboration based on Polish HBS 2013.
6. Building features influence
on heating is stronger
6* p-value<0.05 – statistically significant.
Source: Own elaboration based on Polish HBS 2013.
Electricity
spending
Heating
spending
Dwelling area[ln m2
] 24%* 40%*
Type of building (vs. flat):
terraced house 1% 14%*
detached house 6%* 6%*
other 15% -34%*
7. Who spents the most?
7
The richest
Residents of pre-
1946 buidings
Large families
Self-employed
Residents of large
flats
Retirees and
pensioners
Residents of
detached houses
Source: Own elaboration on the basis of Household Budget Survey 2013.
9. Please feel welcome
to contact us!
agata.miazga@ibs.org.pl
www.ibs.org.pl
twitter.com/ibs_thinktank
Editor's Notes
*13,14% dochodów gosp.dom.
*preferencje – postawy ekologiczne, preferencje cieplne
*cechy gospodarstw – liczba osób, źródło utrzymania, dochód
*cechy budynków – m2, wiek, własność, typ mieszkania, sposób ogrzewania, termomodernizacja
Wnioski:
1. Energia jest dobrem normalnym, bo wydatki na nią rosną wolniej niż dochód
*Szczególnie na wzrost cen energii mogą być narażeni mieszkańcy wsi, bo tam wpływ dochodu jest wyższy
- Może to wynikać z budownictwa
2. Dochód bardziej różnicuje wydatki na ogrzewanie niż elektryczność
Biedniejsi mogą być niedogrzani
*microsimulation model (2013, 2020, 2030)
*wpływ polityk: thermo-modernisation, regulation of energy price, taxes and transfers