This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Understanding Stakeholder Values Using Cluster Analysis

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Pamela Kaval () (University of Waikato)

Additional information is available for the following registered author(s):

Abstract

The K-Means and Ward’s Clustering procedures were used to categorize value similarities among respondents of a public land management survey. The clustering procedures resulted in two respondent groupings: an anthropocentrically focused group and an ecocentrically focused group. While previous studies have suggested that anthropocentric and ecocentric groups are very different, this study revealed many similarities. Similarities between groups included a strong feeling towards public land and national forest existence as well as the importance of considering both current and future generations when making management decisions for public land. It is recommended that land managers take these similarities into account when making management decisions. It is important to note that using the Ward’s procedure for clustering produced more consistent groupings than the K-Means procedure and is therefore recommended when clustering survey data. K-Means only showed consistency with datasets of over 500 observations.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: ftp://mngt.waikato.ac.nz/RePEc/wai/econwp/0716.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by University of Waikato, Department of Economics in its series Working Papers in Economics with number 07/16.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length: 13 pages
Date of creation: 31 Aug 2007
Date of revision:
Handle: RePEc:wai:econwp:07/16

Contact details of provider:
Postal: Private Bag 3105, Hamilton, New Zealand
Phone: 64 7 838 4045 (Administrator)
Fax: 64 7 838 4331
Web page: http://www.mngt.waikato.ac.nz/econ
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Brian Silverstone).

Related research
Keywords: cluster analysis Ward’s hierarchy method K-Means public land management stakeholders ecocentric anthropocentric

Find related papers by JEL classification:
C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer, vol. 50(2), pages 159-179, June. [Downloadable!] (restricted)
  2. Thomas M. Beckley & Dianne Korber, . "Sociology's Potential to Improve Forest Management and Inform Forest Policy," Staff Papers 9501, University of Alberta, Department of Rural Economics. [Downloadable!]
Full references

Statistics
Access and download statistics

Did you know? You can create a compilation of all publications of a group of people, say alumni of a program, your students or memers of an association.

This page was last updated on 2008-8-14.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.