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Weighing Upfront Costs against Future Savings: A Discrete Choice Analysis of Homeowners' Risk-Time Preferences for Energy Efficiency Upgrades

Author

Listed:
  • Njideka Aguome
  • Nonso Ewurum
  • Phenyo Mpolokang
  • Fidelis Emoh

Abstract

This study employs a discrete choice analysis to investigate homeowners' risk-time preferences for energy efficiency upgrades, considering both upfront costs and future savings. The study's objectives are to understand trade-offs homeowners are willing to make between upfront costs and expected savings for energy efficiency upgrades and to identify the tipping point where homeowners switch preferences between discounted long-term savings and higher upfront costs amongst household demographic characteristics. A quantitative methodology is employed to achieve these objectives, utilising discrete choice analysis. This methodology allows for examining homeowners' preferences by presenting them with various hypothetical scenarios that include different combinations of upfront costs and expected savings for energy efficiency upgrades. Using a dataset of 461 homeowners in Nigeria, we estimate latent class, multinomial logit models, and conjoint analysis to analyse the preference heterogeneity in the population. Our results provide a comprehensive understanding of homeowners' risk-time preferences for energy efficiency upgrades, and the tipping point where they switch preferences between discounted long-term savings and higher upfront costs. The findings elicit insights that direct policymakers to tailor their interventions consistent with demographic variances towards effectively incentivising energy efficiency upgrades.

Suggested Citation

  • Njideka Aguome & Nonso Ewurum & Phenyo Mpolokang & Fidelis Emoh, 2024. "Weighing Upfront Costs against Future Savings: A Discrete Choice Analysis of Homeowners' Risk-Time Preferences for Energy Efficiency Upgrades," AfRES afres2024-035, African Real Estate Society (AfRES).
  • Handle: RePEc:afr:wpaper:afres2024-035
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    More about this item

    Keywords

    discrete choice experiment; Energy Efficiency; household preferences; smart homes; sustainable transition;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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