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Residential Heating Method and Housing Prices: Results of an Empirical Analysis in South Korea

Author

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  • Chang-Soo Noh

    (Department of Future Energy Convergence, Graduate School, Seoul National University of Science & Technology, Seoul 01811, Republic of Korea)

  • Min-Ki Hyun

    (Department of Energy Policy, Graduate School of National Defense Convergence Science, Seoul National University of Science & Technology, Seoul 01811, Republic of Korea)

  • Seung-Hoon Yoo

    (Department of Future Energy Convergence, College of Creativity and Convergence Studies, Seoul National University of Science & Technology, Seoul 01811, Republic of Korea)

Abstract

This study empirically delves into whether residential heating methods significantly affect apartment prices in Uiwang City, a suburban city near the Seoul Metropolitan area, South Korea. Using data from 1256 apartment sales, where both district heating systems (DHSs) and individual heating systems (IHSs) coexist, a hedonic price equation was estimated to analyze the impact of the heating method choices on housing values. Various housing attributes, including physical, locational, and environmental factors, were controlled, and multiple regression models were compared to identify the best-performing specification. The results show that apartments equipped with a DHS are priced, on average, KRW 92 million (USD 72 thousand) higher than those with an IHS. The price difference corresponds to KRW 849 thousand (USD 665) per m 2 and possesses the statistical significance at the 5% level. Moreover, it is quite meaningful, representing roughly 11.2% of the price of an average apartment. These findings suggest that the use of DHS has a positive effect on apartment prices that reflect consumers’ preferences, beyond its advantages in stable heat supply and energy cost savings. This article provides empirical evidence that DHS can serve as an important urban infrastructure contributing to asset value enhancement. Although this study is based on a specific geographic area and caution must be exercised in generalizing its findings, it reports the interesting finding that residential heating method significantly affects housing prices.

Suggested Citation

  • Chang-Soo Noh & Min-Ki Hyun & Seung-Hoon Yoo, 2025. "Residential Heating Method and Housing Prices: Results of an Empirical Analysis in South Korea," Energies, MDPI, vol. 18(14), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:14:p:3809-:d:1703949
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    References listed on IDEAS

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    1. Kim, Ju-Hee & Lim, Seul-Ye & Yoo, Seung-Hoon, 2023. "Does district heating affect residential property prices? Case study of an urban area in South Korea," Utilities Policy, Elsevier, vol. 83(C).
    2. John I. Carruthers & David E. Clark, 2010. "Valuing Environmental Quality: A Space‐Based Strategy," Journal of Regional Science, Wiley Blackwell, vol. 50(4), pages 801-832, October.
    3. Yoon, Taeyeon & Ma, Yongsun & Rhodes, Charles, 2015. "Individual Heating systems vs. District Heating systems: What will consumers pay for convenience?," Energy Policy, Elsevier, vol. 86(C), pages 73-81.
    4. Steffen Nielsen & Lars Grundahl, 2018. "District Heating Expansion Potential with Low-Temperature and End-Use Heat Savings," Energies, MDPI, vol. 11(2), pages 1-17, January.
    5. Kim, Ju-Hee & Kim, Hee-Hoon & Yoo, Seung-Hoon, 2022. "Social acceptance toward constructing a combined heat and power plant near people's dwellings in South Korea," Energy, Elsevier, vol. 244(PB).
    6. Michael-Allan Millar & Neil M. Burnside & Zhibin Yu, 2019. "District Heating Challenges for the UK," Energies, MDPI, vol. 12(2), pages 1-21, January.
    7. Jeffrey P. Cohen & Cletus C. Coughlin, 2008. "Spatial Hedonic Models Of Airport Noise, Proximity, And Housing Prices," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 859-878, December.
    8. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    9. Seung-Hoon Yoo, 2001. "A robust estimation of hedonic price models: least absolute deviations estimation," Applied Economics Letters, Taylor & Francis Journals, vol. 8(1), pages 55-58.
    10. Hsiu-Chang Tsao & Chi-Jie Lu, 2022. "Assessing the Impact of Aviation Noise on Housing Prices Using New Estimated Noise Value: The Case of Taiwan Taoyuan International Airport," Sustainability, MDPI, vol. 14(3), pages 1-17, February.
    11. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    12. Lucas W. Davis, 2011. "The Effect of Power Plants on Local Housing Values and Rents," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1391-1402, November.
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