Evaluating 'good governance': The development of a quantitative tool in the Greater Serengeti Ecosystem.

Published

Journal Article

Protected areas (PAs) can provide important benefits to conservation and to communities. A key factor in the effective delivery of these benefits is the role of governance. There has been a growth in research developing frameworks to evaluate 'good' PA governance, usually drawing on a set of principles that are associated with groups of indicators. In contrast to dominant qualitative approaches, this paper describes the development of a quantitative method for measuring effectiveness of protected area governance, as perceived by stakeholders in the Greater Serengeti Ecosystem in Tanzania. The research developed a quantitative method for developing effectiveness measures of PA governance, using a set of 65 statements related to governance principles developed from a literature review. The instrument was administered to 389 individuals from communities located near PAs in the Greater Serengeti Ecosystem. The results of a factor analysis suggest that statements load onto 10 factors that demonstrate high psychometric validity as measured by factor loadings, explained variance, and Cronbach's alpha reliability. The ten common factors that were extracted were: 1) legitimacy, 2) transparency and accountability, 3) responsiveness, 4) fairness, 5) participation, 6) ecosystem based management (EBM) and connectivity, 7) resilience, 8) achievements, 9) consensus orientation, and 10) power. The paper concludes that quantitative surveys can be used to evaluate governance of protected areas from a community-level perspective.

Full Text

Duke Authors

Cited Authors

  • Kisingo, A; Rollins, R; Murray, G; Dearden, P; Clarke, M

Published Date

  • October 2016

Published In

Volume / Issue

  • 181 /

Start / End Page

  • 749 - 755

PubMed ID

  • 27566933

Pubmed Central ID

  • 27566933

Electronic International Standard Serial Number (EISSN)

  • 1095-8630

International Standard Serial Number (ISSN)

  • 0301-4797

Digital Object Identifier (DOI)

  • 10.1016/j.jenvman.2016.08.002

Language

  • eng