Does energy efficiency affect appliance prices? Empirical analysis of air conditioners in China based on propensity score matching

Yixiang Zhang*, Juan Li, Wenwen Tao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

With continuous increases in global eenergy consumption, environmental problems are becoming more prominent. Encouraging consumers to purchase and use energy-saving appliances can effectively reduce energy consumption. Do consumers have a different willingness to pay (WTP) or different preferences for appliance attributes when making purchasing decisions? Energy-efficiency labels provide consumers with energy-consumption information. Do such labels have an effect on appliance prices? To answer these questions, this study used the hedonic price model (HPM) to explore consumers' WTP for various attributes of air conditioners (ACs). Sales data for 1459 ACs were obtained from a major e-commerce platform in China. The results indicated that platform attributes had no significant effect on price. While the premium of energy-efficiency labeling was 12.4%, brands had a high premium—up to 59.4%. Meanwhile, propensity score matching (PSM) was used to explore the premiums of energy-efficiency labeling; PSM can solve the problem of selection bias and has advantages over traditional HPM. The results showed that there was a 19.4% premium between energy-efficiency level 1 and level 2 and a 21.5% premium between levels 1 and 3. Based on the results, management suggestions are made to further promote the development of the household appliance market and energy-efficiency labeling.

Original languageEnglish
Article number105435
JournalEnergy Economics
Volume101
DOIs
Publication statusPublished - Sept 2021

Keywords

  • Energy-efficiency label
  • Hedonic price model
  • Price premium
  • Propensity score matching

Fingerprint

Dive into the research topics of 'Does energy efficiency affect appliance prices? Empirical analysis of air conditioners in China based on propensity score matching'. Together they form a unique fingerprint.

Cite this