The Potential Application of Qualitative Evaluation Methods in European Regional Development: Reflections on the Use of Performance Story Reporting in Australian Natural Resource Management

Frank Vanclay

Regional Studies, 2015, vol. 49, issue 8, 1326-1339

Abstract: V anclay F. The potential application of qualitative evaluation methods in European regional development: reflections on the use of Performance Story Reporting in Australian natural resource management, Regional Studies . This paper argues that qualitative evaluation methods potentially have a useful role in the assessment of regional development projects in Europe. It outlines several evaluation methods used in outcomes assessment, specifically Most Significant Change Technique, Performance Story Reporting and Collaborative Outcomes Reporting. An example of the practical application of these methods in Australia is provided along with a consideration of their applicability in the European context. The paper discusses issues related to the evaluation of rural and regional development programmes and concludes that qualitative evaluation using story-based approaches provides a rigorous way of assessing the performance of projects and programmes.

Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://hdl.handle.net/10.1080/00343404.2013.837998 (text/html)
Access to full text is restricted to subscribers.

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:taf:regstd:v:49:y:2015:i:8:p:1326-1339

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CRES20

DOI: 10.1080/00343404.2013.837998

Access Statistics for this article

Regional Studies is currently edited by Ivan Turok

More articles in Regional Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().