Renewable energy adoption in an ageing population: Heterogeneity in preferences for micro-generation technology adoption

By K. Willis, Riccardo Scarpa, Rose Gilroy, Neveen Hamza. 2011

182 citations recorded by the source corpus.

Many countries are endeavouring to supply more of their energy from renewable resources. Such countries are also experiencing an aging population with a greater proportion of people aged â¥65 years. This demographic shift may reduce the uptake of renewable energy, if older person households are less inclined to accept change and adopt new technologies. This paper assesses whether such households have different behavioural responses to energy efficiency compared to the rest of society and investigates whether micro-generation renewable energy technologies are less likely to be adopted by these households. It uses conditional logit and mixed logit models to investigate the impact of age of household on primary heating adoption, and also to assess the impact of older households on the installation of discretionary micro-generation technologies (solar thermal, solar voltaic, and wind power) to supplement existing heating and lighting systems. Results indicate that primary heating choice is not affected but that older person households are less inclined to adopt micro-generation technologies.

Subfields: Economics and Econometrics, Pollution, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/999af7df0011470c3ee9de94ecd05aa71679e22a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. John M. Rose
  2. Riccardo Scarpa
  3. M. Thiene
  4. Michele Moretto
  5. R. Cavalli
  6. Cristiano Franceschinis
  7. Stephane Hess
  8. David A. Hensher

In Pollution

  1. N. Brandt
  2. Nadia Ameli

In Renewable Energy, Sustainability and the Environment

  1. N. Brandt
  2. Riccardo Scarpa
  3. Nadia Ameli

Citations in the corpus