2017
DOI: 10.1016/j.wdp.2017.11.005
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Charcoal income as a means to a valuable end: Scope and limitations of income from rural charcoal production to alleviate acute multidimensional poverty in Mabalane district, southern Mozambique

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Cited by 33 publications
(21 citation statements)
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“…The concept of capability poverty, which was first put forward by Sen [25], has paved the road for the more comprehensive cognition toward the multidimensional nature of poverty, namely, receiving health services, education and improving livelihood standards [26], etc. Based on the multidimensional poverty theory, the evaluation indicators of poverty transfers from consumption or income only into medical service, education consumption patterns and leisure activities [27,28], etc. Hence, the interpretation and measurement of poverty has become increasingly accurate and reliable.…”
Section: Multidimensional Povertymentioning
confidence: 99%
“…The concept of capability poverty, which was first put forward by Sen [25], has paved the road for the more comprehensive cognition toward the multidimensional nature of poverty, namely, receiving health services, education and improving livelihood standards [26], etc. Based on the multidimensional poverty theory, the evaluation indicators of poverty transfers from consumption or income only into medical service, education consumption patterns and leisure activities [27,28], etc. Hence, the interpretation and measurement of poverty has become increasingly accurate and reliable.…”
Section: Multidimensional Povertymentioning
confidence: 99%
“…Charcoal production is associated with increases in some aspects of well-being (such as greater assets ownership) (Zorrilla-Miras et al 2018), although benefits from charcoal production do not equate to improvements in the aggregate well-being of households, when well-being is measured across different dimensions such as health, education and living standards (Vollmer et al 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Between 2014 and 2015, quantitative and qualitative social and geospatial data were collected from the 27 studied villages: Mabalane was sampled during May-October 2014; Marrupa May-August 2015; Gurué August-December 2015. Villages had similar vegetation types, infrastructure, climatic conditions and dominant land use activities, relative to each case-study site in which they were located (Baumert et al, 2016;Luz et al, 2015;Mahamane et al, 2017;Smith et al, 2019;Vollmer et al, 2017;Woollen et al, 2016;Zorrilla-Miras et al, 2018). We based village selection on stringent criteria to ensure comparability between villages (e.g.…”
Section: Data Collectionmentioning
confidence: 99%
“…Wellbeing indicators were selected by triangulating participatory wealth rankings results and a structured secondary literature review (for full methodology see Vollmer et al, 2017). The MDWB index comprised 15 indicators of wellbeing, grouped across 3 dimensions (Table 1).…”
Section: Multidimensional Wellbeing Indexmentioning
confidence: 99%