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来源类型 | Articles |
规范类型 | 论文 |
DOI | 10.1016/j.foodpol.2016.06.001 |
ISSN | 0306-9192 |
Quantifying the economic contribution of wild food harvests to rural livelihoods: A global-comparative analysis | |
Friess, D.A.; Thompson, B.S.; Brown, B.; Aldrie Amir, A.; Cameron, C.; Koldewey, H.J.; Sasmito, S.D.; Sidik, F. | |
发表日期 | 2016 |
出处 | Food Policy 62: 122-132 |
出版年 | 2016 |
语种 | 英语 |
摘要 | This paper empirically quantifies and analyses (i) the economic contribution of wild foods to rural households, (ii) the household socio-economic, demographic, and geographical correlates of wild food income, and (iii) how wild foods can be better incorporated into integrative food security policies. We used household income data from 7975 households in 24 developing countries across three continents collected by the Poverty Environment Network (PEN). We found 77% of households to be engaged in wild food collection from forest and non-forest environments even though the share of wild food income in total household income was on average only 4%. Poorer households and households experiencing shocks derived higher income shares from wild foods. State land is the main source of forest-derived wild food income while private lands are most important for non-forest wild food income. Considerable regional variation in determinants and the direction of significant relationships indicate there is no one-size-fits-all approach to integrating wild foods into food and forest policies. However, our results reveal potential to increase household food security by integrating wild foods into national food policies in more customized ways. |
主题 | household income ; household surveys ; food security ; forests |
URL | https://www.cifor.org/library/6150/ |
来源智库 | Center for International Forestry Research (Indonesia) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/93371 |
推荐引用方式 GB/T 7714 | Friess, D.A.,Thompson, B.S.,Brown, B.,et al. Quantifying the economic contribution of wild food harvests to rural livelihoods: A global-comparative analysis. 2016. |
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