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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
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
households
climate preferences
households
features
building
features
4 groups of determinants
of energy consumption
3
Amount
of energy
Source: own elaboration.
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
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.
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%*
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.
Conclusions
expenditures <= attributes of
on electricity households
expenditures <= attributes of
on heating buildings
8
education?
insulation?
Please feel welcome
to contact us!
agata.miazga@ibs.org.pl
www.ibs.org.pl
twitter.com/ibs_thinktank

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A Miazga EVALUATE workshop Gdansk

  • 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
  • 3. households climate preferences households features building features 4 groups of determinants of energy consumption 3 Amount of energy Source: own elaboration.
  • 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.
  • 8. Conclusions expenditures <= attributes of on electricity households expenditures <= attributes of on heating buildings 8 education? insulation?
  • 9. Please feel welcome to contact us! agata.miazga@ibs.org.pl www.ibs.org.pl twitter.com/ibs_thinktank

Editor's Notes

  1. *13,14% dochodów gosp.dom.
  2. *preferencje – postawy ekologiczne, preferencje cieplne *cechy gospodarstw – liczba osób, źródło utrzymania, dochód *cechy budynków – m2, wiek, własność, typ mieszkania, sposób ogrzewania, termomodernizacja
  3. 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
  4. 2. Dochód bardziej różnicuje wydatki na ogrzewanie niż elektryczność Biedniejsi mogą być niedogrzani
  5. *microsimulation model (2013, 2020, 2030) *wpływ polityk: thermo-modernisation, regulation of energy price, taxes and transfers