Costs of traffic accidents with wild boar populations in Sweden

Tobias Häggmark Svensson (), Ing-Marie Gren (), Hans Andersson (), Gunnar Jansson () and Annika Jägerbrand ()
Additional contact information
Tobias Häggmark Svensson: Department of Economics, Swedish University of Agricultural Sciences, Postal: Box 7013, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden
Ing-Marie Gren: Department of Economics, Swedish University of Agricultural Sciences, Postal: Box 7013, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden
Hans Andersson: Department of Economics, Swedish University of Agricultural Sciences, Postal: Box 7013, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden
Gunnar Jansson: Grimsö Wildlife Research Station, Postal: Department of Ecology, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden
Annika Jägerbrand: Environmental Unit, Swedish National Road and Transport Research Institute, Postal: Box 55685, 10215 Stockholm

No 2014:5, Working Paper Series from Swedish University of Agricultural Sciences, Department Economics

Abstract: 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.

Keywords: traffic accidents; costs; wild boar; econometrics; land scape characteristics; Sweden. (search for similar items in EconPapers)
JEL-codes: Q29 Q57 (search for similar items in EconPapers)
Pages: 40 pages
Date: 2014-05-11
New Economics Papers: this item is included in nep-tre
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Citations: View citations in EconPapers (3)

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.

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Persistent link: https://EconPapers.repec.org/RePEc:hhs:slueko:2014_005

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