Arbeitspapier

Energy efficient technology adoption and low-income households in the EU: What is the evidence?

This paper studies the adoption of high-cost, medium-cost, and low-cost energy-efficient technologies (EETs) by income categories in eight European Union countries, relying on demographically representative household surveys carried out simultaneously among about 15,000 households in France, Germany, Italy, Poland, Romania, Spain, Sweden, and the United Kingdom. The statistical-econ-ometric analyses allow the effects of income to differ by income quartiles in each country. For retrofit measures, the findings suggest that homeowners falling into the lowest income quartile exhibit lower adoption propensities than those falling into the highest income quartile. These findings provide support for policies tar-geting "poor homeowners", particularly in lower-income countries with a high share of owner-occupiers such as Poland and Romania. Further, differences in adoption propensities across income quartiles also exist for medium- and low-cost EETs such as appliances and light bulbs. Finally, analyzing factors related to homeowners' receiving financial support for retrofit measures from govern-ments or utilities suggests that differences in implementation rates between the highest and lowest income quartile would likely have been higher without such support schemes in place. For the United Kingdom (but not for other countries) these schemes appeared to have had a progressive effect.

Language
Englisch

Bibliographic citation
Series: Working Paper Sustainability and Innovation ; No. S12/2018

Classification
Wirtschaft
Subject
energy poverty
energy efficiency
adoption
poor homeowners
subsidies
econometrics

Event
Geistige Schöpfung
(who)
Schleich, Joachim
Event
Veröffentlichung
(who)
Fraunhofer-Institut für System- und Innovationsforschung ISI
(where)
Karlsruhe
(when)
2018

Handle
URN
urn:nbn:de:0011-n-497244-18
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Schleich, Joachim
  • Fraunhofer-Institut für System- und Innovationsforschung ISI

Time of origin

  • 2018

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