解决广西农村就业问题的经济学探讨
发布时间：2018-07-28 10:42
【摘要】：就业问题不容忽视又较为复杂,即便在经济学领域也牵涉到多个层面。广西不仅农村人口众多,并且农村少数民族人口占有很大的比重,因此在农村人口就业问题上具有一定的特殊性。本文通过隐性失业、柯布-道格拉斯生产函数、刘易斯拐点等方法从宏观层面探讨广西农村现存的就业问题;通过产业结构、就业偏差系数、就业相关系数等方法从中观层面探求其中的结构性问题;结合实际情况从微观上寻找造成这一问题的部分原因,并结合宏、中、微三个层面所暴露出的问题提出相关建议。
[Abstract]:The issue of employment cannot be ignored and complex, even in the field of economics involves many aspects. Guangxi not only has a large rural population, but also has a large proportion of rural minority population, so it has a certain particularity in the employment of rural population. This paper discusses the existing employment problems in the rural areas of Guangxi from the macro level through the methods of recessive unemployment, Cobb-Douglas production function, Lewis inflection point, and the coefficient of employment deviation through the industrial structure. The methods such as employment correlation coefficient explore the structural problems from the meso level, combine with the actual situation to find out some causes of this problem from the micro level, and combine with the problems exposed in the macro, middle and micro levels to put forward the relevant suggestions.
【作者单位】： 北京交通大学经济管理学院;
【分类号】：F323.6;F249.2
本文编号：2149838
[Abstract]:The issue of employment cannot be ignored and complex, even in the field of economics involves many aspects. Guangxi not only has a large rural population, but also has a large proportion of rural minority population, so it has a certain particularity in the employment of rural population. This paper discusses the existing employment problems in the rural areas of Guangxi from the macro level through the methods of recessive unemployment, Cobb-Douglas production function, Lewis inflection point, and the coefficient of employment deviation through the industrial structure. The methods such as employment correlation coefficient explore the structural problems from the meso level, combine with the actual situation to find out some causes of this problem from the micro level, and combine with the problems exposed in the macro, middle and micro levels to put forward the relevant suggestions.
【作者单位】： 北京交通大学经济管理学院;
【分类号】：F323.6;F249.2
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