Author
Listed:
- Lena Borg
- Abukar Warsame
- Mats Wilhelmsson
Abstract
Governments around the world utilize various types of subsidies in order to counter problems of housing shortages and affordability concerns. Reduced interest rate or alternative investments of construction loans are examples of subsidy policies on the supply side that are intended to offset high construction costs and thus boost the housing stocks. Vouchers and direct financial aid for low-income households belong to the demand side of the subsidy policies. These subsidy policies may be expected to have different effects on both the housing stocks of different regions and the distribution of tenure types of housing stocks within a region. Until recently, Sweden has had both general and targeted subsidy policies. An interesting question is whether these types of subsidies produced the intended objectives of increasing the housing stocks. First, the efficiency of general subsidy and its effect on housing stocks of all the regions before it was abolished will be examined. Secondly, the replaced targeted subsidy and how it fared with its objectives as well as how it impacted the tenure neutrality of different types of housing will be analyzed. A multiple regression of two models from un-balanced panel data of construction costs variables in seven regions will be analyzed. Our result seem to indicate that a general subsidy is expected to be ineffective since it may increase the existing stocks of low demand region but not the housing stocks of big regions where the demand is high. A targeted subsidy may change the balance between different types of housings since lower construction costs due to the subsidy could favor the development of certain profitable housing type.
Suggested Citation
Lena Borg & Abukar Warsame & Mats Wilhelmsson, 2009.
"The Effect of Subsidy on Housing Construction Stocks in Various Regions of Sweden,"
ERES
eres2009_287, European Real Estate Society (ERES).
Handle:
RePEc:arz:wpaper:eres2009_287
Download full text from publisher
More about this item
JEL classification:
- R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arz:wpaper:eres2009_287. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.