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机构地区:[1]北京科技大学经济管理学院,北京100083 [2]北京大学光华管理学院,北京100871
出 处:《山西财经大学学报》2008年第1期20-26,共7页Journal of Shanxi University of Finance and Economics
基 金:国家自然科学基金重点项目“全球化背景下中国地区协调发展及区域政策分析模型研究”(70233002)
摘 要:利用2005年农村流动劳动力调查数据,运用Logit模型,考察了影响我国农村劳动力跨省流动的因素。研究结果表明,已婚的农村劳动力更倾向于跨省流动,而受教育程度对跨省流动概率的影响呈倒U型,即受教育程度较低和受教育程度较高者均倾向于省内流动而不是跨省流动;农村劳动力的家庭人均非汇款收入越高,其越倾向于跨省流动;东部沿海地区的农村劳动力更倾向于省内流动,而中、西部地区的农村劳动力更倾向于跨省流动。因此,要使农村劳动力获得更好的跨省就业机会,以提高农村家庭收入和有效地减少贫困人口,必须提高农村地区尤其是中、西部农村地区人口的教育水平,增加他们的人力资本,并加强对农村低收入家庭劳动力转移的支持,减少其远距离外出打工的现金约束。Using the survey data of China' s rural migrants in 2005, this paper investigates the determinants of China' s inter-provincial rural labor migration with a logit model. The results show that married rural laborers are more likely to migrate across provinces while the impact of their education level on the probability of inter-provincial migration is an inverted U - shape with lest and most educated people staying within the province. People with more per capita household incomes exclusive of remittances are more inclined to migrate across provinces. Rural laborers in eastern coastal areas are more likely to migrate within the province while their counterparts in central and western areas are more likely to migrate across provinces. Therefore, in order to reduce China' s poverty- stricken population effectively, we must improve the education in rural areas, especially in central and western areas to enhance their human capital, and strengthen the support for low - income families constrained by migration costs to help them get access to hotter inter-provincial job opportunities.
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