Planning on a wider scale – Swedish forest owners' preferences for landscape policy attributes
Göran Bostedt,
Astrid Zabel and
Hans Ekvall
Forest Policy and Economics, 2019, vol. 104, issue C, 170-181
Abstract:
A tax-fund system has been proposed to advance Swedish forest conservation. We present a choice experiment with Swedish private forest owners on preferences for attributes of a tax-fund system. Focusing on three aspects: (i) freedom to choose set-asides, (ii) equity issues, and (iii) frequency of nature inventories, we find two groups of forest owners. The first is opposed to interventions that could curtail liberty and oppose frequent nature inventories, while a smaller group would derive positive utility from jointly deciding on the location of set-asides with society. Both groups have a preference for changing the current tax-base to soil productivity or timber volume. The tax-base chosen together with the modalities of re-distributing the funds will determine the program's efficiency. The paper concludes that a tax-fund system could indeed be a way forward but would need to be designed in a participatory manner to reconcile forest owners, forest industry representatives, and conservationists.
Keywords: Choice experiments; Biodiversity; Boreal forest; Landscape planning; Sweden (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1389934118306002
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:forpol:v:104:y:2019:i:c:p:170-181
DOI: 10.1016/j.forpol.2019.04.013
Access Statistics for this article
Forest Policy and Economics is currently edited by M. Krott
More articles in Forest Policy and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().