Ecological and social poverty traps: Complex interactions moving toward sustainable development

被引:6
作者
Yang, Zhenshan [1 ,2 ]
Yang, Ding [3 ]
Sun, Dongqi [1 ,2 ]
Zhong, Linsheng [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev & Modelling, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
[3] Beijing Normal Univ, Fac Geog Sci, Beijing, Peoples R China
关键词
back-propagation neural network; decision-making trial and evaluation laboratory; ecological poverty; poverty traps; social poverty; sustainable development; LONG-TERM POVERTY; PERSISTENT POVERTY; RELATIVE POVERTY; ABSOLUTE; SERVICES; CHINA; POOR; INFRASTRUCTURE; DYNAMICS; POLICY;
D O I
10.1002/sd.2425
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
Different types of poverty traps can reinforce each other, and consequently, multiple traps pose challenges for poverty alleviation, especially in rural areas. There remains a lack of understanding of social and ecological poverty traps and their relationship with one another. We considered the Selinco area in the Tibetan highlands of China and investigated social and ecological poverty, for an understanding of the poverty trap through the land-human relationship lens. We found that ecological and social poverty differ between various townships due to their poor ecological and social environs. We affirmed reinforcing feedback between ecological and social poverty, and that the relative importance of social and ecological poverty differs at various thresholds. These results advance our understanding of different poverty traps and their feedback process. The findings inform the policy-making process when addressing the land-human relationship to improve ecosystem stability and promote social equity to foster sustainable development.
引用
收藏
页码:853 / 864
页数:12
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