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http://dx.doi.org/10.6106/KJCEM.2019.20.6.057

A Study on Determinants for Apartment Remodeling in Seoul Metropolitan Area  

Cho, Yongkyung (Research Institute of Real Estate and Urban Studies)
Lee, Jaewon (Department of Real Estate Studies, Konkuk University)
Lee, Sangyoub (Department of Real Estate Studies, Konkuk University)
Publication Information
Korean Journal of Construction Engineering and Management / v.20, no.6, 2019 , pp. 57-65 More about this Journal
Abstract
If aging apartments are left unimproved through remodeling, the city will be eventually slum. As the government recognizes remodeling as an alternative to reconstruction, the law has been revised mainly to increase the housing area, increase the number of house and allow the vertical extension for making remodeling costs. However, the remodeling is still not activated yet in the market. Therefore, this study analyzes the decision factors of apartment remodeling in Seoul metropolitan area based on Heckman two-stage analysis considering sampling error. Research findings indicate that the decision for remodeling is determined by the characteristics of the household, housing, and time-lapse variables. And also the number of household members, net assets, housing satisfaction, the 11-20, 21-30, and more than 30 years of building are identified as the significant variables as a result of remodeling choice probability analysis. It is noteworthy that the significant variables from then remodeling cost analysis are net assets, area, more than 30 years of building, and unit housing price. It is also notable that the policy, which extend the housing area to cover remodeling cost, are not actually effective to activate the remodeling, and the age in the case of elderly people in Seoul and Gyeonggi-do who are expected to have high net assets and income is not significant variables. This study is expected to provide more objective and reliable implication to the policy makers, the home owner and the investors on the decision making process related to the remodeling project.
Keywords
Aging Apartment; Remodeling; Decision Making; Heckman Analysis; Seoul Metropolitan Area;
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  • Reference
1 Arnott, R.J., and Lewis, F. (1979). "The Transition of land to Urban Use." Journal of Political Economy, University of Chicago Press, 81, pp. 637-654.   DOI
2 Bae, S.S., and Shin, D,W. (2000). "(The) trend and policy issues of housing remodelling." KRIHS.
3 Baum, S., and Hassan, R. (1999). "Homeowners, home renovation and residential mobility." Journal of Sociology, The Australian Sociological Association, 35, pp. 23-41.   DOI
4 Boehm, T.P., and Ihlanfeldt, K.R. (1986). "The improvement expenditures of urban homeowners: An empirical analysis." AREUEA Journal, AREUEA, 14, pp. 48-60.   DOI
5 Jeon, H.R., and Kim, S.K. (2014). "A Study on Major Determinants of the Household Mortgage Loan Risk: An Analysis with DTI, LTV in Korea." Jounal of Social Science, RISS (KHU), 40(3), pp. 259-284.
6 Kim, J.W., and Chung, E.C. (2011). "Estimation of Tenure Choice and Housing Demand Decisions of Small-Sized Households in Korea." Housing Studies Review, KAHPS, 19(2), pp. 123-150.
7 Kim, J.Y., and Lee, H.S. (2019). "A Study on Determinants of Retention of Real Estate Mortgage & Repayment Burden." The Journal of Korea Real Estate Analysts Association, KREAA, 25(1), pp. 7-19.
8 Korea Remodeling Association (2016). "Understanding Remodeling." Ki-mun dang.
9 Research Institute of Real Estate and Urban Studies (2018). Konkuk Univ. "The truth and falsehood of real estate common sense," The Korea Economic Daily.
10 Pong, I.S., and Chang, Y.B. (2008). "Necessity and task of remodeling apartments in Gyeonggi-do." Policy Brief, GRI, 30, pp. 1-12.
11 Shoup, D.C. (1970). "The Optical Timing of Urban Lan Development." Papers in Regional Science, RSAI, 25, pp. 33-44.   DOI
12 Ministry of Government Legislation (2019). Housing law.
13 Lee, Y.K., and Kim, E.H. (2016). "Establishing Policy Directions for Remodeling Apartment Based on Demand Analysis." Korean Housing Association Journal of Academic Conference, KHA, 2016(4), pp. 61-65.
14 Mendelsohn, R. (1977). "Empirical Evidence on Home Improvements." Journal of Urban Economics, 4, pp. 459-468.   DOI
15 Ministry of Government Legislation (2019). Building law.
16 Ministry of Land, Infrastructure and Transport (2016). A Survey on the Actual Condition of Housing.
17 Montgomery, C. (1992). "Explaining home improvement in the context of household investment in the context of household investment in residential housing." Journal of Urban Economics, ELSEVIER, 32, pp. 326-350.   DOI
18 Plaut, P.O., and Plaut, S.E. (2010). "Decisions to Renovate and to Move." Journal of Real Estate Research, ARES, 32(4), pp. 461-485.   DOI
19 Potepan, M.J. (1989). "Interest Rates, Income, and Home Improvement Decisions." Journal of Urban Economics, 25, pp. 282-294.   DOI
20 Sung, J.H., and Jeong, S.C. (2018). "A Study on the Intention of Moving in the Residential Service of Enterprise Type Rental Housing (New Stay)." Korea Real Estate Academy Review, KREA, 75, pp. 35-49.
21 Winger, A. (1973). "Some internal determinants of upkeep spending by home-owner." Land Economics, UWPRESS, 49, pp. 474-479   DOI
22 Yim, Y.H., and Choi, M.J. (2016). "Housing Improvement Behavior of Single-family Housing Owners and Its Determinants : Covering from Repair to Reconstruction." Journal of Korea Planning Association, KPA, 51(3), pp. 147-162.   DOI
23 Galster, G.C. (1987). "Homeowners and Neighborhood Reinvestment." Duke University Press, Durham.
24 Bang, K.S. (2011). "Dictionary of Real Estate Terms." Bu-yeon sa.
25 Cha, K.E., Kim, T.H., and Kim, H.Y. (2015). "Effects of Housing Provision by Public and Private Sectors via the Sub-market Filtering Processes." Journal of Korea Planning Association, KPA, 50(4), pp. 119-138
26 Cho, Y.K., Lee, J.K., and Lee, S.Y. (2011). "A Study on Importance of Factors in Remodeling for Aged Apartment Housing." Review of Real Estate and Urban Studies, KREUS, 4(1), pp. 101-116.
27 Heckman, J.J. (1976). "The common structure of statical models of truncation, sample selection and limited dependent variables and a simple estimator for such models." Annals of Economic and Social Measurement, NBER, 5, pp. 475-492.