Factors Contributing to Residential Vacancy and Some Approaches to Management in Gyeonggi Province, Korea
Abstract
:1. Introduction
2. Materials and Methods
2.1. Definition of Vacant Houses and Scope of Research
2.2. Research Questions, Method and Hypothesis
2.3. Study Background: Global Trends Regarding Vacant Houses
3. Present Status of Vacant Houses in Gyeonggi Province
3.1. Socioeconomic Factors Leading to Vacant Houses
3.2. Policies Regarding Vacant Houses in Korea
3.3. Current Vacant House Distribution in Korea and the Significance of Gyeoggi Province
4. The Major Socioeconomic Factors and Vacant Houses in Gyeonggi Province
4.1. Population Density and Status of Vacant Houses
4.2. Regional Decline and Vacant Houses
4.3. Excess Supply of Urban Development and Vacant Houses
5. Actions and Management Plans for Each Type of Vacant House in Gyeonggi Province
5.1. Vacant House Type 1: Massive Vacant Houses Due to Industrial Decline
5.2. Vacant House Type 2: Unsold Apartment
5.3. Vacant House Type 3: Agricultural and Lifestyle Houses
5.4. Vacant House Type 4: Historical Sites
5.5. Management Plans for Vacant Houses
6. Conclusions and Implications
Author Contributions
Conflicts of Interest
References
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Index for Urban Shrinkage | Authors of Study | Three Research Hypotheses |
---|---|---|
Population | Oswalt (2005) [14], Pallagst (2009) [15], Wiechmann (2008) [8], Shilling and Logan (2009) [12] | Population |
Industry | Oswalt (2005) [14], Pallagst (2009) [15], Wiechmann (2008) [8] | Urban decline |
Financial Conditions (Tax) | Wilkinson (2011) [16], Hwang (2011) [17] | |
City Decline | Dewar (2013) [18], Hwang (2011) [17] | |
Ratio of Vacant Houses | Shilling and Logan (2009) [12] | Excess of building construction |
More supply than demand | Molly (2014) [19] |
Local Government | Name of Ordinance | Enactment Date |
---|---|---|
Seoul, Nowon-gu | Vacant House Management Ordinance for Redevelopment District | 2011.10 |
Seoul, Gwanak-gu | Vacant House Maintenance Ordinance | 2014.02 |
Gyeonggi Province, Anyang | Ordinance for Vacant House Management | 2015.04 |
Incheon, Nam-gu | Vacant House Management Ordinance | 2015.03 |
Chungcheongbuk-do, Cheongju | Support Ordinance for Vacant House Maintenance | 2015.06 |
Gyeongsangnam-do | Maintenance Ordinance to Support Vacant House | 2015.10 |
Chungcheongbuk-do, Uljin-gun | Support Ordinance for Vacant House Maintenance in Rural District | 2015.06 |
Busan | Support Ordinance for Vacant House Maintenance | 2013.10 |
Busan, Nam-gu | Vacant House Management Ordinance for Redevelopment District | 2015.06 |
Gwangju, Nam-gu | Support Ordinance for Vacant House Maintenance | 2015.04 |
Daejeon, Yuseong-gu | Management Ordinance for Old Buildings and Vacant Houses | 2013.08 |
Daegu, Suseong-gu | Vacant House Maintenance Ordinance for Redevelopment District | 2015.10 |
Jeollabuk-do, Jeonju | Support Ordinance for Vacant House Maintenance | 2015.11 |
Jeollanam-do, Gwangyang | Support Ordinance for Vacant House Maintenance | 2015.06 |
Jeollanam-do, Naju | Support Ordinance for Vacant House Maintenance | 2015.08 |
Jeollabuk-do, Namwon | Support Ordinance for Vacant House Maintenance in Urban District | 2015.09 |
Jeollanam-do, Mokpo | Vacant House Management Ordinance for Maintenance District | 2015.10 |
Jeollanam-do, Boseong-gun | Support Ordinance for Vacant House Maintenance | 2015.10 |
Jeollanam-do, Suncheon | Support Ordinance for Vacant House Maintenance | 2015.10 |
Jeollanam-do, Gurye-gun | Ordinance for Vacant House Maintenance | 2015.11 |
Administrative District | 2010 | Number of Houses | Rate (Vacant House/Total) |
---|---|---|---|
Total | 793,848 | 14,677,419 | 0.054086349 |
Seoul | 78,702 | 2,525,210 | 0.031166517 |
Gyeonggi | 154,099 | 3,217,483 | 0.04789427 |
Gangwon | 52,218 | 536,485 | 0.097333569 |
Incheon | 41,437 | 822,552 | 0.050376146 |
Busan | 40,957 | 1,031,331 | 0.03971276 |
Daegu | 29,766 | 691,702 | 0.043032982 |
Population | Youth Population | Elderly Population | Female Population | Male Population | Total Population | |
---|---|---|---|---|---|---|
Number of vacant houses | Pearson correlation coefficient | 0.742 ** | 0.829 ** | 0.721 ** | 0.728 ** | 0.724 ** |
p-Value | 0 | 0 | 0 | 0 | 0 | |
N | 31 | 31 | 31 | 31 | 31 | |
Unsold houses | Pearson correlation coefficient | 0.700 ** | 0.781 ** | 0.680 ** | 0.693 ** | 0.687 ** |
p-Value | 0 | 0 | 0 | 0 | 0 | |
N | 31 | 31 | 31 | 31 | 31 | |
Partially damaged | Pearson correlation coefficient | 0.222 | 0.306 | 0.196 | 0.191 | 0.193 |
p-Value | 0.231 | 0.094 | 0.292 | 0.303 | 0.297 | |
N | 31 | 31 | 31 | 31 | 31 |
Factors | Detailed Factors | Correlation(r) with Ratio of Vacant Houses |
---|---|---|
Population | The ratio of youth population | −0.370 (p < 0.040) |
The ratio of elderly population | −0.238 (p < 0.198) | |
The ratio of female population | −0.371 (p < 0.040) | |
The ratio of male population | −0.367 (p < 0.042) | |
The ratio of total population | −0.363 (p < 0.045) |
Declined Complex Index | Vacant Houses | Ratio of Vacant houses | Damaged houses/Total | Damaged/Vacant houses | Ratio of trading leases | Ratio of unsold houses | Ratio of rouses in need of repair | Ratio of temporary use | Ratio of commercial | Etc. | Ratio of urbanization | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Declined Complex Index | Pearson correlation coefficient | 1 | 0.196 | −0.517* | −0.369 | −0.211 | 0.227 | 0.226 | 0.283 | −0.035 | 0.296 | 0.095 | 0.445 |
p-Value | - | 0.436 | 0.028 | 0.132 | 0.401 | 0.364 | 0.366 | 0.255 | 0.89 | 0.232 | 0.707 | 0.064 | |
N | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | |
Correlation of non-declined district |
Factors | Detailed Factors | Correlation(r) with Ratio of Vacant House |
---|---|---|
Declined Complex Index | Ratio of manufacture to whole company | −0.110 (not significant) |
Medical workers per 1000 people | −0.068 (not significant) | |
Library seats per 1000 people | −0.035 (not significant) | |
Net migration rate | 0.173 (not significant) | |
National basic livelihood recipients per 1000 people | 0.633 (p < 0.01) | |
Amount of local tax collection per one person | −0.010 (not significant) | |
Ratio of old houses to whole houses | −0.133 (not significant) |
Factors | Detailed Factors | Correlation(r) with Ratio of Vacant House |
---|---|---|
Distribution of building | Distribution ratio of housing | 0.776 (p < 0.01) |
Construction permit per one person | 0.896 (p < 0.01) | |
Building per one person | 0.833 (p < 0.01) |
© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
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Nam, J.; Han, J.; Lee, C. Factors Contributing to Residential Vacancy and Some Approaches to Management in Gyeonggi Province, Korea. Sustainability 2016, 8, 367. https://doi.org/10.3390/su8040367
Nam J, Han J, Lee C. Factors Contributing to Residential Vacancy and Some Approaches to Management in Gyeonggi Province, Korea. Sustainability. 2016; 8(4):367. https://doi.org/10.3390/su8040367
Chicago/Turabian StyleNam, Jeehyun, Jiae Han, and Changho Lee. 2016. "Factors Contributing to Residential Vacancy and Some Approaches to Management in Gyeonggi Province, Korea" Sustainability 8, no. 4: 367. https://doi.org/10.3390/su8040367
APA StyleNam, J., Han, J., & Lee, C. (2016). Factors Contributing to Residential Vacancy and Some Approaches to Management in Gyeonggi Province, Korea. Sustainability, 8(4), 367. https://doi.org/10.3390/su8040367