湖南省就业现状分析与对策研究
发布时间：2018-10-14 13:55
【摘要】：如何提升就业率的问题一直是关乎民生和国家社会发展的重大问题。很多专家学者都对就业形势、就业存在的问题进行了深入研究。本文利用SPSS和Eviews软件来研究湖南省就业问题。首先利用时间序列模型预测了下一年湖南省的就业率。然后找出影响湖南省就业的因素,并提出对应策略。第一步,用描述性统计和SPSS软件分析湖南省近些年的经济变化和经济发展形式。从分析结果来看,湖南省经济水平总体平稳上升,结构不断优化,更加适应市场发展需求。但对就业方面而言,湖南省并未实现充分就业,所以进一步提升就业率也是有必要的。第二步,运用Eviews软件建立时间序列模型,预测湖南省下一年的就业率。本文数据分析的过程是:首先对搜集到的数据进行检验,然后对数据进一步处理,直到数据满足平稳的非白噪声序列为止,再进行下一步模型的构造,最后从中选取最优的进行下一步分析。就业率数据结果显示,湖南省近十年就业率稳步上升。第三步,用因子分析和聚类分析进一步分析影响湖南省就业的因素。先将湖南省分为14个地域,即长沙、娄底、衡阳、常德、张家界、益阳、郴州、怀化、湘西、株洲、邵阳、岳阳、永州、湘潭。再根据每个地区的7种经济类型的就业人数分析影响就业的因素。这7种经济类型分别是国有经济、城镇集体经济、内资经济、港澳台经济、城镇个体经济、城镇私营经济、外商经济。从因子分析的结果来看,部分地区存在一些经济发展不均衡的问题。从聚类分析的结果来看,长沙在聚类分析中被分到了第一类,就业情况是湖南省最好的;第二类是衡阳、邵阳、岳阳、怀化,这四个城市内资经济与长沙存在一定差距;第三类是其他的地区,这些地区的就业状况有待提高,各个经济类型就业相对不高,需要加快经济发展来提升就业率。最后,对本文所研究的问题做了一个系统性的总结。即本文先依据相关数据进行了湖南省下一年的就业率预测,然后根据不同地区不同经济类型分析影响就业的因素,并提出了相关对策。
[Abstract]:How to increase employment rate has always been a major issue related to people's livelihood and national social development. Many experts and scholars have carried on the thorough research to the employment situation, the employment existence question. This paper uses SPSS and Eviews software to study the employment problem in Hunan Province. First, the employment rate of Hunan Province is predicted by time series model. Then find out the factors that affect the employment of Hunan Province, and put forward corresponding strategies. The first step is to use descriptive statistics and SPSS software to analyze the economic changes and forms of economic development in Hunan Province in recent years. The results show that the economic level of Hunan Province rises steadily and the structure is optimized to meet the needs of market development. But for employment, Hunan Province has not achieved full employment, so it is necessary to further increase the employment rate. The second step is to establish a time series model by using Eviews software to predict the employment rate of Hunan Province in the next year. The process of data analysis in this paper is as follows: first, the collected data are checked, then the data is further processed until the data satisfies the stationary non-white noise sequence, and then the next step model is constructed. At last, the best analysis is selected for the next step. Employment rate data show that the employment rate in Hunan Province has risen steadily in the past ten years. In the third step, factor analysis and cluster analysis are used to further analyze the factors affecting employment in Hunan Province. Hunan is divided into 14 regions, namely Changsha, Loudi, Hengyang, Changde, Zhangjiajie, Yiyang, Chenzhou, Huaihua, Xiangxi, Zhuzhou, Shaoyang, Yueyang, Yongzhou, Xiangtan. Then according to the seven economic types of employment in each region, the factors affecting employment are analyzed. These seven economic types are state-owned economy, urban collective economy, domestic capital economy, Hong Kong, Macao and Taiwan economy, urban individual economy, urban private economy and foreign economy. From the result of factor analysis, there are some problems of unbalanced economic development in some areas. From the results of cluster analysis, Changsha is classified into the first category in cluster analysis, the employment situation is the best in Hunan Province, the second category is Hengyang, Shaoyang, Yueyang, Huaihua, these four cities have a certain gap between the domestic capital economy and Changsha. The third is the other regions, where the employment situation needs to be improved, and the employment of each type of economy is relatively low, so it is necessary to accelerate the economic development to increase the employment rate. Finally, the paper makes a systematic summary of the problems studied in this paper. This paper first forecasts the employment rate of Hunan Province next year based on the relevant data, then analyzes the factors affecting employment according to different economic types in different regions, and puts forward the relevant countermeasures.
【学位授予单位】：湘潭大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F249.27
本文编号：2270671
[Abstract]:How to increase employment rate has always been a major issue related to people's livelihood and national social development. Many experts and scholars have carried on the thorough research to the employment situation, the employment existence question. This paper uses SPSS and Eviews software to study the employment problem in Hunan Province. First, the employment rate of Hunan Province is predicted by time series model. Then find out the factors that affect the employment of Hunan Province, and put forward corresponding strategies. The first step is to use descriptive statistics and SPSS software to analyze the economic changes and forms of economic development in Hunan Province in recent years. The results show that the economic level of Hunan Province rises steadily and the structure is optimized to meet the needs of market development. But for employment, Hunan Province has not achieved full employment, so it is necessary to further increase the employment rate. The second step is to establish a time series model by using Eviews software to predict the employment rate of Hunan Province in the next year. The process of data analysis in this paper is as follows: first, the collected data are checked, then the data is further processed until the data satisfies the stationary non-white noise sequence, and then the next step model is constructed. At last, the best analysis is selected for the next step. Employment rate data show that the employment rate in Hunan Province has risen steadily in the past ten years. In the third step, factor analysis and cluster analysis are used to further analyze the factors affecting employment in Hunan Province. Hunan is divided into 14 regions, namely Changsha, Loudi, Hengyang, Changde, Zhangjiajie, Yiyang, Chenzhou, Huaihua, Xiangxi, Zhuzhou, Shaoyang, Yueyang, Yongzhou, Xiangtan. Then according to the seven economic types of employment in each region, the factors affecting employment are analyzed. These seven economic types are state-owned economy, urban collective economy, domestic capital economy, Hong Kong, Macao and Taiwan economy, urban individual economy, urban private economy and foreign economy. From the result of factor analysis, there are some problems of unbalanced economic development in some areas. From the results of cluster analysis, Changsha is classified into the first category in cluster analysis, the employment situation is the best in Hunan Province, the second category is Hengyang, Shaoyang, Yueyang, Huaihua, these four cities have a certain gap between the domestic capital economy and Changsha. The third is the other regions, where the employment situation needs to be improved, and the employment of each type of economy is relatively low, so it is necessary to accelerate the economic development to increase the employment rate. Finally, the paper makes a systematic summary of the problems studied in this paper. This paper first forecasts the employment rate of Hunan Province next year based on the relevant data, then analyzes the factors affecting employment according to different economic types in different regions, and puts forward the relevant countermeasures.
【学位授予单位】：湘潭大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F249.27
【参考文献】
相关硕士学位论文 前10条
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2 吴也杭;湖南省经济发展质量综合评价[D];吉首大学;2015年
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4 武晨;我国青年就业影响因素研究[D];安徽财经大学;2015年
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