IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Costs of traffic accidents with wild boar populations in Sweden

Listed author(s):
  • Häggmark Svensson, Tobias


    (Department of Economics, Swedish University of Agricultural Sciences)

  • Gren, Ing-Marie


    (Department of Economics, Swedish University of Agricultural Sciences)

  • Andersson, Hans


    (Department of Economics, Swedish University of Agricultural Sciences)

  • Jansson, Gunnar


    (Grimsö Wildlife Research Station)

  • Jägerbrand, Annika


    (Environmental Unit, Swedish National Road and Transport Research Institute)

Traffic accidents with wild boar have increased rapidly over the last years in Sweden. This paper calculates and predicts costs of current and future accidents, totally and for different Swedish counties, based on estimates of wild boar populations. A logistic population model is assumed, and econometric methods are used for calculating populations with panel data on traffic accidents, traffic load, hunting pressure, and landscape characteristics for each county. The results show an annual average growth rate of 0.48, which varies between 0.39 and 0.52 for different counties. This, together with predictions on changes in traffic load, forms the basis for calculations of costs of traffic accidents for a 10 year period. In total, the predicted costs can increase from 60 million SEK in 2011 to 135 or 340 million SEK in 2021 in present value depending on assumed hunting pressure. The variation is, however, large among counties; costs can increase by ten times in Stockholm and Södermanland where the wild boar populations are relatively small and by 50% in counties with mature populations.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

Paper provided by Department Economics, Swedish University of Agricultural Sciences in its series Working Paper Series with number 2014:5.

in new window

Length: 40 pages
Date of creation: 11 May 2014
Publication status: Published as Gren, Ing-Marie, Tobias Häggmark Svensson, Hans Andersson, Gunnar Jansson and Annika Jägerbrand, 'Using traffic data to estimate wildlife populations' in Journal of Bioeconomics, 2016, pages 17-31.
Handle: RePEc:hhs:slueko:2014_005
Contact details of provider: Postal:
Department of Economics, Box 7013, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden

Phone: 018-67 1724
Fax: 018-67 3502
Web page:

More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:hhs:slueko:2014_005. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Elizabeth Hillerius)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.