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How to Assess Livelihoods? Critical Reflections on the Use of Common Indicators to Capture Socioeconomic Outcomes for Ecological Restoration workers in South Africa

Social outcomes from conservation and development activities on a local scale are often assessed using five livelihood assets—Natural, Physical, Human, Financial and Social—and their associated indicators. These indicators, and the variables used to measure them, are typically based on ‘common pract...

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Bibliographic Details
Published in:Social indicators research 2024-10, Vol.175 (1), p.49-69
Main Authors: Pasgaard, M., Fold, N.
Format: Article
Language:English
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Summary:Social outcomes from conservation and development activities on a local scale are often assessed using five livelihood assets—Natural, Physical, Human, Financial and Social—and their associated indicators. These indicators, and the variables used to measure them, are typically based on ‘common practice’ with limited attention being paid to the use of alternative indicators. In this article, we present a typical survey of socioeconomic benefits for ecological restoration workers in South Africa, and ask whether the common livelihood indicators used are adequate and sufficient, or whether any relevant indicators are missing. Results from the livelihood survey show the value of income, food and education as strong indicators of financial and human assets, and the importance of open-ended questions in eliciting details of workers’ perceived changes in their livelihoods. However, by complementing the survey results with qualitative data from semi-structured interviews and stakeholder workshops, we show how unconventional livelihood indicators and aspects provide a deeper understanding of changes in livelihoods that are tied to restoration projects. We guide scholars and practitioners to advance their process of selecting livelihood indicators, in particular to include three additional types of indicators: intangible indicators to assess life quality; relative indicators reaching across spatial and temporal scales to capture community outcomes and livelihood resilience; and, political indicators to uncover causal relationships.
ISSN:0303-8300
1573-0921
DOI:10.1007/s11205-024-03433-5