上湄公河大坝建设对移民的影响(英文)

编号 zgly0001585298

文献类型 期刊论文

文献题名 上湄公河大坝建设对移民的影响(英文)

作者 张勇  何大明  陆颖  冯彦  李杰克 

作者单位 YunnanKeyLaboratoryofInternationalRiversandTransboundaryEco-security  YunnanUniversity  HeiferInternationalChinaOffice  AsianInternationalRiversCenter  YunnanUniversity 

母体文献 Journal of Geographical Sciences 

年卷期 2013年05期

年份 2013 

分类号 D632.4 

关键词 UpperMekongRiver  resettlementinfluence  physiographicelement  displacedcommunity  largedambuilding  LancangRiver 

文摘内容 This paper seeks to quantify the social and economic impact of resettlement based on the physiographic element changes post relocation.We focus on communities affected by the Nuozhadu hydropower project, the largest existing hydropower project on the mainstream of the Upper Mekong River.Soil and meteorological data were collected from the Soil Spatial Database and the China Terrestrial Ecological Information Spatial Meteorology Database, while social and economic data were collected via field surveys.We have three major conclusions: (1) Communities will be relocated to a new climate and new elevation, moving from a north tropical climate zone under 700 m to a subtropical climate zone above 700 m.(2) Physiographic element changes due to relocation will reduce household economic income.After relocation, the annual family income of the Shidaimao group decreased by 62%; the annual family income of the other 5 study groups (Lasa, Hani, Nochangchangyi, Mengsa, and Dawazi) dropped by 65%.(3) Communities relocated across the study township are 61.1% less connected with their former relatives after relocation while family-to-family free labor exchange, a previous community norm, decreased by 91%.China’s dam resettlement compensation system focuses on the loss of economic resources after relocation.However, this study finds that the physiographic elements of the relocation sites are an important driver of ensuring economic growth and stability after relocation.As a result, we recommend more attention be paid to physiographic continuity when designing relocation models.