Abstract

Compiling forest policy at national and sub-national levels is a participatory activity that aims to achieve balance between multiple forest-use alternatives. In Finland the effectiveness and acceptability of regional forest programmes has been doubted. The quest for collaboration among stakeholders towards consensus and commitment may be improved via the use of various group learning and multi-criteria decision-making methods. This study reports the phases, results and implications of an extensive action research project, applying soft systems methodology, which aims to enhance regional forest programmes by facilitating increased use of collaborative decision support methods. Stakeholder feedback from demonstration meetings suggested that discussing alternative futures and prioritizing action proposals in a multi-stakeholder group through a simple multi-attribute rating technique are the most promising immediate enhancements. An ex-post evaluation of the suggested “ideal process model” showed that the deliberative nature of regional forest programmes had strengthened and that strategic and regional choices had become more prevalent in Finnish processes. The evaluation further underlined the need for simple, easily adoptable qualitative methods, but results remained ambiguous regarding potentials of quantitative, aggregative methods. Methodological developments cannot alone unlock central problems of the programme process, namely weak political capital and propensity toward status-quo, but the programme organisation is to be redefined as well.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.