INVOLUNTARY MIGRATION IN CHINA'S THREE GORGES
中国三峡地区的非自愿移民
基本信息
- 批准号:6415055
- 负责人:
- 金额:$ 22.66万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2002
- 资助国家:美国
- 起止时间:2002-09-01 至 2006-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): This research proposes to study the
short-term impact of involuntary migration on approximately two million Chinese
who would be displaced by China's Three Gorges Project (TGP). The specific aims
are: 1) to conduct pre- and post-migration surveys of a sample of 1,000
migrants and 500 non-migrants used as controls; 2) to measure the short-term
impact of forced migration on migrants' economic, social, and psychological
well-being; and 3) to conduct multivariate analyses of pre- and post-migration
changes in economic, social, and psychological well-being of the displaced to
test hypotheses derived from the stress process paradigm, a model which has
been used extensively to relate stressors such as forced migration to economic,
social, and psychological outcomes. Using the multi-stage stratified sampling
technique, a probability proportional to size sample of 1,500 adults will be
selected from an area which covers 79.3 percent of the people that would be
affected by the project. Face-to-face structured interviews will be conducted
with the sample both before and after migration. Migration impact will be
measured by pre- and post-migration differences in outcome variables for
migrants, using non-migrants as the control group. Multivariate analyses of
outcome variables will be performed using difference model as well as the
lagged Y- s regressor model, both of which are widely used for panel data
analysis.
描述(由申请人提供):本研究拟研究
非自愿移民对大约200万中国人的短期影响
他们将因中国的三峡工程而流离失所。具体目标
(1)对1,000个样本进行移民前后调查
移民和500名非移民作为对照; 2)测量短期
强迫移民对移民经济、社会和心理的影响
3)对移民前后的生活状况进行多变量分析
流离失所者的经济、社会和心理福祉的变化,
测试来自压力过程范式的假设,该模型具有
被广泛用于将强迫移徙等压力因素与经济、
社会和心理后果。采用多阶段分层抽样
技术,与1,500名成年人的样本大小成比例的概率将是
从一个覆盖79.3%的人口的地区选出,
受项目影响。将进行面对面的结构化面试
在迁移之前和之后的样品。迁移的影响将是
通过迁移前后结果变量的差异来衡量,
以非移民为对照组。多变量分析
结果变量将使用差异模型以及
滞后Y-s回归模型,这两种模型都被广泛用于面板数据
分析.
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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