IDEAS home Printed from https://ideas.repec.org/p/hhs/kthrec/2022_002.html

About the importance of planning the location of recycling stations in the urban context

Author

Listed:
  • Wilhelmsson, Mats

    (Department of Real Estate and Construction Management, Royal Institute of Technology)

Abstract

Recycling is essential to the circular economy and reduces our consumption's impact on the environment. Creating conditions for recycling in new residential areas is relatively easy, but finding good recycling opportunities in existing residential areas is more complicated. The recycling of newspapers, plastic and glass must be relatively close to where people live; at the same time, the locations must be relatively discreet and not disturb the residents in the area. The purpose of the article is to analyse the effect of small and local recycling stations (RCS) on the attractiveness of residential areas. This has been made possible by analysing housing values for almost 200,000 housing units near 250 RCS in Stockholm, Sweden. Using an identification strategy that relies on postal code fixed effects, we find evidence that the proximity to RCS affect housing prices on average in both owner-occupied single-family houses and cooperative owner-occupied apartments (condominiums). The results indicate that proximity to the RCS is negatively capitalised in housing values, which indicates that the city should consider this in its planning.

Suggested Citation

  • Wilhelmsson, Mats, 2022. "About the importance of planning the location of recycling stations in the urban context," Working Paper Series 22/2, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
  • Handle: RePEc:hhs:kthrec:2022_002
    as

    Download full text from publisher

    File URL: http://www.diva-portal.org/smash/record.jsf?pid=diva2:1653731
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hhs:kthrec:2022_002. 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: Cecilia Hermansson (email available below). General contact details of provider: https://edirc.repec.org/data/ifkthse.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.