Agro-environmental sustainability assessment using multicriteria decision analysis and system analysis

Julia C. Bausch, Luis Bojórquez-Tapia, Hallie Eakin

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Transparency and reproducibility remain challenges for sustainability assessment, particularly in developing world contexts where formal scientific information is often limited. We posit that even in such contexts, sustainability assessment can be productive and informative if the underlying assumptions about sustainability are made transparent. Thus, the process of assessment can be as instructive as the results, if not more so. In this article, we describe and discuss how we combined multicriteria decision analysis and system analysis as a unified approach to sustainability assessment. This approach is transparent, practical, flexible, and reproducible; it also facilitates the development of recommendations for enhancing sustainability. We illustrate the approach with examples from a recent environmental sustainability assessment of irrigated commercial maize production in Sinaloa, Mexico.

Original languageEnglish (US)
Pages (from-to)303-319
Number of pages17
JournalSustainability Science
Volume9
Issue number3
DOIs
StatePublished - 2014

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Process Assessment (Health Care)
decision analysis
Decision Support Techniques
systems analysis
Systems Analysis
Mexico
Zea mays
sustainability
transparency
developing world
maize

Keywords

  • Agriculture
  • Mexico
  • Multicriteria decision analysis
  • Sustainability assessment
  • System analysis

ASJC Scopus subject areas

  • Global and Planetary Change
  • Nature and Landscape Conservation
  • Management, Monitoring, Policy and Law
  • Ecology
  • Geography, Planning and Development
  • Health(social science)
  • Sociology and Political Science

Cite this

Agro-environmental sustainability assessment using multicriteria decision analysis and system analysis. / Bausch, Julia C.; Bojórquez-Tapia, Luis; Eakin, Hallie.

In: Sustainability Science, Vol. 9, No. 3, 2014, p. 303-319.

Research output: Contribution to journalArticle

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