Who Counts? Demography of Swidden Cultivators in Southeast Asia

Swidden cultivators are often found as a distinct category of farmers in the literature, but rarely appear in population censuses or other national and regional classifications. This has led to a worldwide confusion on how many people are dependent on this form of agriculture. The most often cited n...

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Détails bibliographiques
Publié dans:Human Ecology. - Springer Science + Business Media. - 37(2009), 3, Seite 281-289
Auteur principal: Mertz, Ole (Auteur)
Autres auteurs: Leisz, Stephen J., Heinimann, Andreas, Rerkasem, Kanok, Thiha, Dressler, Wolfram, Van Cu Pham, Vu, Kim Chi, Schmidt-Vogt, Dietrich, Colfer, Carol J. P., Epprecht, Michael, Padoch, Christine, Potter, Lesley
Format: Article en ligne
Langue:English
Publié: 2009
Accès à la collection:Human Ecology
Sujets:Shifting cultivation Population Census Southeast Asia Biological sciences Social sciences Physical sciences
Description
Résumé:Swidden cultivators are often found as a distinct category of farmers in the literature, but rarely appear in population censuses or other national and regional classifications. This has led to a worldwide confusion on how many people are dependent on this form of agriculture. The most often cited number of 200-300 million dates back to the early 1970s, but the source is obscure. We assess available, published data from nine countries in Southeast Asia and conclude that on this basis it is not possible to provide a firm estimate of the number of swidden cultivators in the region. A conservative range of 14-34 million people engaged in swidden cultivation in the region is suggested, however. We argue that along with improved knowledge of swidden livelihoods, there is an urgent need to develop techniques that will allow for better estimates of swidden populations in order to secure appropriate rural development and poverty reduction in swidden areas. is suggested, however. We argue that along with improved knowledge of swidden livelihoods, there is an urgent need to develop techniques that will allow for better estimates of swidden populations in order to secure appropriate rural development and poverty reduction in swidden areas.
ISSN:15729915