Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Policyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Energy Policy
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 1 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Residential willingness to pay for deep decarbonization of electricity supply: Contingent valuation evidence from Hong Kong

Authors: Adonis Yatchew; Chi Keung Woo; Yuk Shing Cheng; Kang Hua Cao;

Residential willingness to pay for deep decarbonization of electricity supply: Contingent valuation evidence from Hong Kong

Abstract

Abstract Motivated by the government's proposed target of reducing CO2 emissions by 30% of the 2005 level in the year 2020, we estimate the residential willingness-to-pay (WTP) for deep decarbonization of Hong Kong's electricity supply, which is heavily dependent on coal-fired generation. Our contingent valuation survey conducted in 2016 of 1460 households yields dichotomous choice data based on the respondents’ answers to a series of closed-ended questions. Such data are less susceptible to the strategic bias that often plagues self-stated WTP data obtained by direct elicitation via open-ended questions. Using binary choice models, we find that average WTP is 48–51%, relative to current bills, if the decarbonization target is achieved via natural gas generation and renewable energy. However, estimated WTP declines to 32–42% when decarbonization entails additional nuclear imports from China. As the projected bill increase caused by the target's implementation is 40%, our WTP estimates support the government's fuel mix policy of using natural gas and renewable energy to displace Hong Kong's coal generation.

Related Organizations
  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Average
Top 10%