CASE STUDIES
Oct 6, 2009

Boost, Control, or Both of Korean Housing Market: 831 Countermeasures

Publication: Journal of Construction Engineering and Management
Volume 136, Issue 6

Abstract

Although the Korean government reported a housing supply ratio of more than 100% in the early 2000s, regional and class disparities in the Korean housing sector have not been correspondingly alleviated. Unfortunately, many Korean households are still enduring the economic burden caused by cyclical price variation, while many housing construction companies are on the verge of bankruptcy. To resolve the ever-expanding socioeconomic problems in the housing and real estate sector, the current Korean government proposed 831 Countermeasures, which has since met with much controversy. In an effort to address these issues, this paper utilizes a qualitative system dynamics model to elucidate and interrogate complex Korean housing mechanisms. By mapping bibliographical and experimental knowledge with causal loop diagrams, the positive and adverse effects of the 831 Countermeasures are also analyzed. Finally, based on the research findings, alternative policy guidelines are proposed that can be used to strengthen positive housing structures and obviate negative ones.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This research was supported by a grant (Grant No. UNSPECIFIED05CIT-D05-01) from Construction Technology Innovation Program funded by Ministry of Land, Transport and Maritime Affairs of the Korean Government. This research supported by a grant (Grant No. UNSPECIFIED07UrbanRenaissanceA03) from High-Tech Urban Development Program funded by the Ministry of Construction and Transportation of the Korean Government.UNSPECIFIED

References

Ahmad, S., and Simonovic, S. (2000). “System dynamics modeling of reservoir operations for flood management.” J. Comput. Civ. Eng., 14(3), 190–191.
Cho, D., and Ma, S. (2006). “Dynamic relationship between housing values and interest rates in the Korean housing market.” J. Real Estate Finance Econ., 32(2), 169–184.
Englund, P., Quigley, J. M., and Redfearn, C. L. (1999). “The choice of methodology for computing housing price indexes: Comparison of temporal aggregation and sample definition.” J. Real Estate Finance Econ., 19(2), 91–112.
Guirguis, H. S., Giannikos, C. I., and Anderson, R. I. (2005). “The US housing market: Asset pricing forecasts using time varying coefficients.” J. Real Estate Finance Econ., 30(1), 33–53.
Hur, J. W. (1991). “An empirical analysis of the determination of house price inflation rates.” J. Korea Planners Association, 26(2), 141–151.
Hur, J. W. (1993). “An empirical analysis on the economic effects of the removal of price control for new housing: With special reference to housing price.” J. Korea Planners Association, 28(3), 85–101.
Hur, J. W., and Ha, S. G. (1990). “The study of interconnection between new house market and old house market.” House banking, Vol. 125, Korea, 11–12.
The KB Bank. (2006). The present condition of house price in the country.
Kim, C. H., and Kim, K. H. (1998). “Political economy of government policy on real-estate in Korea: Torn between de-regulation and anti-speculation.” CFE papers on Korean economy, The Korea Center for Free Enterprise, Seoul.
Kim, H. A., and Lee, S. W. (2005). Effect that real-estate countermeasure gets in the construction industry, Construction and Economy Research Institute of Korea, Nonhyun-dong, Korea, 26–47.
Kim, K. H. (2004). “Housing and the Korean economy.” J. Hous. Econ., 13, 321–341.
Ministry of Finance and Economy of the Korean Government (MOFE). (2005). Real-estate innovation system for people residing stability and speculation in real-estate constraint (8-31 Countermeasures), Korea.
Park, S., Bahng, D., and Park, Y. (2008). “Price run-up in housing markets, access to bank lending and house prices in Korea.” The journal of real estate finance and economics, Springer, Berlin.
Sterman, J. (2000). Business dynamics: System thinking and modeling for a complex world, McGraw-Hill, New York, 191–232.
Zietz, J., Zietz, E. N., and Andmans, G. S. (2008). “Determinants of house price: A quantile regression approach.” J. Real Estate Finance Econ., 37(4), 317–333.

Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 136Issue 6June 2010
Pages: 693 - 701

History

Received: Sep 16, 2008
Accepted: Oct 5, 2009
Published online: Oct 6, 2009
Published in print: Jun 2010

Permissions

Request permissions for this article.

Authors

Affiliations

Moonseo Park, M.ASCE [email protected]
Associate Professor, Dept. of Architecture, Seoul National Univ., San 56-1 Shinrim-dong, Seoul, 151-742, Korea (corresponding author). E-mail: [email protected]
Man-hyung Lee [email protected]
Professor, Dept. of Urban Engineering, Chungbuk National Univ., 410 Seongbong-ro, Cheongju, Chungbuk, 361-763, Korea. E-mail: [email protected]
Hyun-soo Lee, M.ASCE [email protected]
Professor, Dept. of Architecture, Seoul National Univ., San 56-1 Shinrim-dong, Seoul, 151-742, Korea. E-mail: [email protected]
Sungjoo Hwang [email protected]
MS Student, Dept. of Architecture, Seoul National Univ., San 56-1 Shinrim-dong, Seoul, 151-742, Korea. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share