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Evaluation of a consumer incentive program for an energy-efficient product in South Korea

  • Yonsei University
  • Korea Environment Institute

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Because green products are expected to reduce environmental pollution, save natural resources, and protect public health, they are regarded as a useful instrument of sustainable economic growth. Although many policies exist to promote the purchase of green products, their successful adoption requires the voluntary participation of individual consumers and the implementation of an appropriate incentive system. This study presents an ex ante evaluation of consumer preferences when faced with an incentive program that aims to promote the purchase of green products, specifically an energy-efficient LCD television. By using a conjoint analysis with a mixed logit model, we explore the effects of the incentive program on electric power consumption and the consequential reduction in greenhouse gas emissions in South Korea. Our simulation results suggest that when a consumer receives both 5 % of the purchase price of the green product in the form of “incentive points” and a one-million Korean won income tax deduction, the electric power consumption of LCD televisions nationwide will reduce by 50 GWh, thus reducing overall CO2 emissions by 21,200 t.

Original languageEnglish
Pages (from-to)745-757
Number of pages13
JournalEnergy Efficiency
Volume8
Issue number4
DOIs
StatePublished - 25 Jul 2015

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  4. SDG 13 - Climate Action
    SDG 13 Climate Action
  5. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Conjoint analysis
  • Electric power consumption
  • Energy-efficient product
  • Incentive program
  • Mixed logit model
  • Scenario analysis

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