Sesil Lim

Dr. Sesil Lim

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2015 in Energy Policy
Verified
Journal Article
Closed access
SHSung-Yoon Huh
Sung-Yoon Huh
JongRoul WooJongRoul Woo
JongRoul Woo
SLSeil Lim
Seil Lim
Yong-Gil LEEYong-Gil LEE
Yong-Gil LEE
CKChang Seob Kim
Chang Seob Kim

20 November 2018 in Sustainability
Verified
Journal Article
Open access
PDF file
HLHyunjoo Lee
Hyunjoo Lee
MLMisuk Lee
Misuk Lee
SLSeil Lim
Seil Lim
Disclosing the energy performance information for buildings has been expected to become an important policy for controlling energy demand and reducing CO2 emissions, but its effectiveness remains controversial. This study investigates the effect of energy performance information on consumer residential choice by using a discrete choice experiment in South Korea. The estimation results confirmed that the energy efficiency level of the given housing has a significant effect on consumer residential choice when the related information is actually delivered. Combined with evidence from the simulation study, we suggest that obligating the owners to provide energy performance information to potential buyers/tenants would be necessary for enhancing the use of the information during the consumer decision-making process. Additionally, the simulation result implies that the effectiveness of the policy can be underestimated by the price premium related to energy efficiency. Therefore, we suggest that the government should control the price premium for high-efficiency buildings at the early stage so that the policy related to disclosing the energy performance can be on track.

1 June 2019 in Energy Economics
Verified
Journal Article
Closed access
SLSeil Lim
Seil Lim
SHSung-Yoon Huh
Sung-Yoon Huh
JSJungwoo Shin
Jungwoo Shin
JLJongsu Lee
Jongsu Lee
Yong-Gil LEEYong-Gil LEE
Yong-Gil LEE

21 July 2018 in PharmacoEconomics
Verified
Journal Article
Open access
PDF file
SLSeil Lim
Seil Lim
MJMarcel F. Jonker
Marcel F. Jonker
MOMark Oppe
Mark Oppe
BDBas Donkers
Bas Donkers
ESElly Stolk
Elly Stolk
Discrete choice experiments (DCEs) are increasingly used for health state valuations. However, the values derived from initial DCE studies vary widely. We hypothesize that these findings indicate the presence of unknown sources of bias that must be recognized and minimized. Against this background, we studied whether values derived from a DCE are sensitive to how well the DCE design spans the severity range.

12 September 2017 in Journal of the Association for Information Science and Technology
Verified
Journal Article
Closed access
PDF file
SLSeil Lim
Seil Lim
JongRoul WooJongRoul Woo
JongRoul Woo
JLJongsu Lee
Jongsu Lee
SHSung-Yoon Huh
Sung-Yoon Huh

23 October 2018 in Sustainability
Verified
Journal Article
Open access
PDF file
JongRoul WooJongRoul Woo
JongRoul Woo
SLSeil Lim
Seil Lim
Yong-Gil LEEYong-Gil LEE
Yong-Gil LEE
SHSung-Yoon Huh
Sung-Yoon Huh
Social acceptance of nuclear power has become a decisive factor in framing a sustainable energy policy. This study examines social acceptance for cancelling the construction of planned nuclear power plants (NPPs) and replacing them with other energy sources. The contingent valuation method (CVM) and cost–benefit analysis (CBA) are used to access the social acceptance and financial feasibility of such projects. Empirical analysis is based on the case of South Korea, where a similar policy is in progress under the new government. The CVM results show that a Korean household was willing to pay an additional KRW 1922.45/month (USD 1.80/month) for replacing seven 1-Gigawatt NPPs with other energy sources, which is about 3.5% of a household’s current electricity bill. The CBA suggests that the annual costs of replacing this amount of nuclear power capacity with renewables or liquefied natural gas is KRW 1291.40 billion (USD 1.21 billion) or KRW 1180.38 billion (USD 1.11 billion) larger than its benefits, which amounts to about 3% of total annual electricity generation costs in South Korea. As the additional costs of nuclear power replacement cannot be fully covered by the mean willingness-to-pay of the current acceptance level, moderate levels of social resistance are expected if all the additional costs are passed on to the end-users.