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Poverty Assessment in Degraded Rural Drylands in the Monte Desert, Argentina. An Evaluation Using GIS and Multi-criteria Decision Analysis

Author

Listed:
  • Cecilia Rubio

    (Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Cuyo, Gobierno de Mendoza)

  • María Clara Rubio

    (Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Cuyo, Gobierno de Mendoza)

  • Elena Abraham

    (Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Cuyo, Gobierno de Mendoza)

Abstract

The work aims to contribute to the construction a local-scale poverty indicator, which contemplates multiple dimensions and allows for spatialization of socioeconomic data for a rural area in the Monte Desert. Given the evident and widely studied relationship between desertification processes and poverty, and aiming to contribute to integrating socioeconomic information to desertification assessment and monitoring, there arises the need for spatializing poverty by addressing its multiple dimensions, aspects poorly developed thus far. For this purpose, a data model was designed, which enabled integrating quantitative and qualitative information within the scope of geographic ınformation systems (GIS) with multi-criteria decision analysis (MCDA), whereby it was possible to spatialize in detail the degree of poverty in the study area, laying the foundations for up-scaling the assessment to different scales. This work demonstrates the usefulness of GIS and MCDA as an instrument that enables progressing in new integral, interdisciplinary, multi-scale and multi-temporal approaches.

Suggested Citation

  • Cecilia Rubio & María Clara Rubio & Elena Abraham, 2018. "Poverty Assessment in Degraded Rural Drylands in the Monte Desert, Argentina. An Evaluation Using GIS and Multi-criteria Decision Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(2), pages 579-603, June.
    • Handle: RePEc:spr:soinre:v:137:y:2018:i:2:d:10.1007_s11205-017-1606-4
    DOI: 10.1007/s11205-017-1606-4
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    2. Min Zhao & Qi Chen & Jun Zhang & Qianwen Xu & Peng Li, 2025. "Spatial Characteristics and Factors Influencing the Rural Development Level of Chinese Counties on the Basis of Point Data," Land, MDPI, vol. 14(3), pages 1-25, March.

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