湖南省就業(yè)現(xiàn)狀分析與對策研究
發(fā)布時間：2018-10-14 13:55
【摘要】：如何提升就業(yè)率的問題一直是關乎民生和國家社會發(fā)展的重大問題。很多專家學者都對就業(yè)形勢、就業(yè)存在的問題進行了深入研究。本文利用SPSS和Eviews軟件來研究湖南省就業(yè)問題。首先利用時間序列模型預測了下一年湖南省的就業(yè)率。然后找出影響湖南省就業(yè)的因素,并提出對應策略。第一步,用描述性統(tǒng)計和SPSS軟件分析湖南省近些年的經濟變化和經濟發(fā)展形式。從分析結果來看,湖南省經濟水平總體平穩(wěn)上升,結構不斷優(yōu)化,更加適應市場發(fā)展需求。但對就業(yè)方面而言,湖南省并未實現(xiàn)充分就業(yè),所以進一步提升就業(yè)率也是有必要的。第二步,運用Eviews軟件建立時間序列模型,預測湖南省下一年的就業(yè)率。本文數(shù)據分析的過程是:首先對搜集到的數(shù)據進行檢驗,然后對數(shù)據進一步處理,直到數(shù)據滿足平穩(wěn)的非白噪聲序列為止,再進行下一步模型的構造,最后從中選取最優(yōu)的進行下一步分析。就業(yè)率數(shù)據結果顯示,湖南省近十年就業(yè)率穩(wěn)步上升。第三步,用因子分析和聚類分析進一步分析影響湖南省就業(yè)的因素。先將湖南省分為14個地域,即長沙、婁底、衡陽、常德、張家界、益陽、郴州、懷化、湘西、株洲、邵陽、岳陽、永州、湘潭。再根據每個地區(qū)的7種經濟類型的就業(yè)人數(shù)分析影響就業(yè)的因素。這7種經濟類型分別是國有經濟、城鎮(zhèn)集體經濟、內資經濟、港澳臺經濟、城鎮(zhèn)個體經濟、城鎮(zhèn)私營經濟、外商經濟。從因子分析的結果來看,部分地區(qū)存在一些經濟發(fā)展不均衡的問題。從聚類分析的結果來看,長沙在聚類分析中被分到了第一類,就業(yè)情況是湖南省最好的;第二類是衡陽、邵陽、岳陽、懷化,這四個城市內資經濟與長沙存在一定差距;第三類是其他的地區(qū),這些地區(qū)的就業(yè)狀況有待提高,各個經濟類型就業(yè)相對不高,需要加快經濟發(fā)展來提升就業(yè)率。最后,對本文所研究的問題做了一個系統(tǒng)性的總結。即本文先依據相關數(shù)據進行了湖南省下一年的就業(yè)率預測,然后根據不同地區(qū)不同經濟類型分析影響就業(yè)的因素,并提出了相關對策。
[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.
【學位授予單位】：湘潭大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F249.27
本文編號：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.
【學位授予單位】：湘潭大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F249.27
【參考文獻】
相關碩士學位論文 前10條
1 賈文新;山東省各主要城市就業(yè)結構分析[D];云南大學;2016年
2 吳也杭;湖南省經濟發(fā)展質量綜合評價[D];吉首大學;2015年
3 王貴方;基于因子分析與聚類分析的貴州省第三產業(yè)發(fā)展水平的評價研究[D];貴州師范大學;2015年
4 武晨;我國青年就業(yè)影響因素研究[D];安徽財經大學;2015年
5 吳浩;湖南省產業(yè)結構與就業(yè)結構協(xié)調發(fā)展研究[D];湖南大學;2013年
6 余蘭;基于主成分分析及時間序列預測的我國就業(yè)問題研究[D];武漢科技大學;2012年
7 譚嘯;我國農村剩余勞動力轉移趨勢研究：理論與實證[D];天津財經大學;2012年
8 焦華芳;湖南省實現(xiàn)比較充分就業(yè)的對策研究[D];國防科學技術大學;2010年
9 孫昭君;基于面板數(shù)據模型的我國海洋產業(yè)就業(yè)狀況及趨勢分析[D];中國海洋大學;2008年
10 李冰;陜西省“十一五”就業(yè)趨勢分析及預測[D];西北大學;2007年
，本文編號：2270671
本文鏈接：http://www.sikaile.net/jingjifazhanlunwen/2270671.html
最近更新
教材專著
