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Rural sustainability assessment using a combination of multi-criteria decision making and factor analysis

Author

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  • Ali Asghar Aliloo

    (University of Maragheh)

  • Sharhryar Dashti

    (University of Maragheh)

Abstract

The rural sustainability is one of the most important issues in rain-fed agricultural areas; however, because of multiple obvious and latent driving factors, a few models have been suggested covering the fluctuation of sustainability in these sensitive areas. Therefore, this study takes advantage of a combination of multivariate and multi-criteria decision making to analyze the association of rural resources with sustainability in northwest of Iran. The entire demographical, agricultural and natural standard data of 143 villages (21 variables) were weighted and ranked by Shannon–Winner index and simple additive weighting (SAW) method, respectively. The synthesized dataset was grouped into two categories of highly sustainable (ZSAW > 0) and low sustainable (ZSAW

Suggested Citation

  • Ali Asghar Aliloo & Sharhryar Dashti, 2021. "Rural sustainability assessment using a combination of multi-criteria decision making and factor analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6323-6336, April.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:4:d:10.1007_s10668-020-00874-z
    DOI: 10.1007/s10668-020-00874-z
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    1. Juliet Wanjiku Kamau & Christian Schader & Lisa Biber-Freudenberger & Till Stellmacher & David M. Amudavi & Jan Landert & Johan Blockeel & Cory Whitney & Christian Borgemeister, 2022. "A holistic sustainability assessment of organic (certified and non-certified) and non-organic smallholder farms in Kenya," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6984-7021, May.
    2. Zdena Krnáčová & Štefan Krnáč & Mária Barančoková, 2023. "Analysis of Interrelations Structure in Agro-Systems Using the Factor Analysis Technique (FA)," Land, MDPI, vol. 12(2), pages 1-26, January.

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