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Influential Factors in Employment Location Selection Based on “Push-Pull” Migration Theory—A Case Study in Three Gorges Reservoir Area in China
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  • 分类:O175.3[理学—数学;理学—基础数学] P642.22[天文地球—工程地质学;天文地球—地质矿产勘探;天文地球—地质学]
  • 作者机构:[1]Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China, [2]University of Chinese Academy of Sciences, Beijing 100049, China, [3]The new rural development research institute, Jiangxi agricultural university, Nanchang 330000, China
  • 相关基金:financial supports from the National Natural Science Foundation of China (Grant Nos. 41571527, 41301193, 41101552,41401198); Main Direction Program (KZCX2-EW317); West Light Foundation of the Chinese Academy of Sciences (2013Yuhui)
中文摘要:

在中国,在非农场工作雇用的农民成为了重要社会经济的演员,但是很少研究在使他们的工作成为地点选择检验了农民观点。基于“推挽式”迁居理论,这份报纸在瓷器从农民的 2013 调查利用部分数据以经验为主地分析影响雇用地点的候鸟工人选择的因素的三个峡水库区域。结果显示 60.46% 劳动者从他们的家省移居了,而 39.54% 留在他们的家省。集中于个人,家庭,和逻辑回归模型揭示的样品 countiesmultinomial 的经济特征的社区 characteristicsin 增加农民劳动者雇用地点决定被他们的个人首都影响天赋(年龄,教育和聚会的年网络),家庭结构(劳动者的数字,长辈,孩子和学生),家村庄特征(地点,经济发展水平和陆地的地势的度)并且回家尤其是,男、女的劳动者地点决定表明一个收敛的趋势,和他们的差别是不显著的。人均的可耕地区域几乎没在地点决定上有小影响,而劳动者的教育水平有重要影响。结果与在以前的研究发现的那些显著地不同。

英文摘要:

In China, farmers employed in non-farm work have become important socio-economic actors, but few studies have examined the farmers' perspective in making their work location choices. Based on "push-pull" migration theory, this paper utilizes sectional data from a 2013 survey of farmers in China's Three Gorges Reservoir area to empirically analyze the factors influencing migrant workers' choice of employment location. The results indicate that 60.46% of laborers have migrated from their home province, whereas 39.54% have remained in their home province. Focusing on personal, household, and community characteristics—in addition to the economic characteristics of the sample counties—multinomial logistic regression models reveal that farmer-laborers' employment location decisions are influenced by their personal capital endowment(age, years of education and social networks), family structure(the number of laborers, elders, children and students), home village characteristics(location, economic development level and the degree of relief of the land) and home county economic development level. Notably, male and female laborers' location decisions reveal a converging trend, and their differences are not pronounced. Per capita arable land area has little influence on location decisions, whereas the educational level of laborers has a significant impact. The results differ significantly from those found in previous studies.

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