Skip to main navigation Skip to search Skip to main content

Modeling the willingness to pay for energy efficient residence in urban residential sector in China

  • Jun–Jun –J Jia
  • , Hua Qing Wu*
  • , Hong Guang Nie
  • , Ying Fan
  • *Corresponding author for this work
  • Hefei University of Technology
  • Changchun University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Whether and how to share the incremental cost of energy efficient residence compared with common buildings between housing developers and buyers is an urgent problem to be solved in promoting energy efficient residence. This study estimates urban residents' willingness to pay (WTP) for energy efficient residence in Beijing and Changchun in China to provide important reference for this issue. The revised norm-motivated consumer choice model is used to identify the key factors in the two decision-making stages of determining WTP. Based on survey data and using probit and interval regression models, it shows that energy-saving revenue and incremental cost are the key factors affecting whether or not to buy energy efficient residence, and the preference for positive personal image only has a significant positive effect in Beijing. The mean and median WTP of Beijing residents are about 340 Yuan and 405 Yuan per square meter, respectively, whereas those of Changchun residents are about 350 Yuan per square meter. Policies targeting the energy saving and incremental cost of energy efficient residence and tailored to local residents' preferences can stimulate the promotion of energy efficient residence effectively.

Original languageEnglish
Article number111003
JournalEnergy Policy
Volume135
DOIs
StatePublished - Dec 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Consumer choice model
  • Energy efficient residence
  • Interval regression model
  • Probit model
  • Residential sector
  • Willingness to pay

Fingerprint

Dive into the research topics of 'Modeling the willingness to pay for energy efficient residence in urban residential sector in China'. Together they form a unique fingerprint.

Cite this