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The Second Industry Output Value In Heilongjiang Province And The Demand For Labour Relations And Prediction Research

Posted on:2017-05-31Degree:MasterType:Thesis
Country:ChinaCandidate:H Y DongFull Text:PDF
GTID:2309330485951692Subject:Industrial engineering
Abstract/Summary:PDF Full Text Request
In the context of reform and opening up, our country’s economy has achieved many results, and gross domestic product(GDP) has maintained healthy growth. At present, our country is in the stage of industrialization, as the second industry is an important pillar industry of national economic development, in order to guarantee the healthy development of the second industry, we should focus on the present situation of the labor supply and demand of the second industry. Especially, since the 21 st century, great changes have taken place in the domestic industrial structure, the labor resources in the economic markets of the component is more and more big. Research shows that to reach the state of the labor supply and demand balance is very difficult, but we can study the relationship between research through the labor and production history data, and grasp the general direction of the demand for labour, As far as possible to do the preparatory work, and have a plan to allocate labor resources,try to ease the problem of labor force supply and demand do not match.In the early years of the reform and opening up industrial enterprises have achieved good results, the rapid development of the northeast region industry is of great significance to the economic development of our country, the corresponding industrial structure and employment structure is to establish, with the development of the progress of the society, science and technology, industry organizations and further improve of the employment structure, our country’s economy has achieved gratifying results, but the economy in the national economy in Heilongjiang province share has decreased. In order to promote the healthy development of economy in Heilongjiang province, we should try to do a good job of labor resource allocation in Heilongjiang province.The second industry output value in the proportion of the total output of the a lot of Heilongjiang province. This paper mainly studies the relationship between the second industry output value and the labor force. And understands the needs of the labor force in the next few years. Therefore, the second industry output value and labor demand in Heilongjiang prov ince is very important for the development of economy in Heilongjiang province.This paper refers to Heilongjiang statistical yearbook learned that the data of the second industry output value and labor demand from 1990 to 2013. To analyze the existing data, determine the second industry output value and labor relations in Heilongjiang province, using reasonable prediction method to predict the second industry output value of the next decade of Heilongjiang province, and on the basis of prediction of the industry demand for labour of Heilongjiang province in the next decade. The implementation of the specific method is: Firstly, to collect the relevant data of the second industry output value and labor demand of Heilongjiang Province, and to analyze the relevant data to determine the correlation between them,, and through hypothesis testing to determine the regression equation. Secondly, on the one hand, by the algorithm of BP neural network prediction of Heilongjiang province from 2014 to 2023, the ten ye ars of the second industry output value; Using relevant knowledge combination forecast model is set up on the other hand, also predicted by this model in Heilongjiang province from 2014 to 2023, the ten years of the second industry output value. Finally, comparing the predicted effect of two kinds of prediction model, select a better fitting effect prediction method, using the model calculating output value of the second industry in the future ten years, the predicted results into before have already established a good regression equation, it can be concluded that the next 10 years the second industry in Heilongjiang province labor demand. In this paper, with the help of Maltlab, SPSS, excel and other tools.This paper is divided into six chapters altogether: the first chapter is the introduction part, the first review of related literature, understand the labor supply and demand situation, mainly introduced the research background of industrial output value and the demand for labour, research and the significance of the relationship between the researchers at home and abroad research status of industrial output value and the labor supply and demand, the main content of the research methods used in this paper, the research and technology road map. The second c hapter introduces the related concepts of neural networks used in this paper, through the consult literature material, awareness of the development of artificial neural network and BP neural network and relevant theory, on the structure and algorithm of BP neural network are introduced, and the time series prediction model of BP neural network method are introduced. The third chapter is mainly on the regression analysis and the introduction of combination forecast model. Regression analysis of the research for the following the second industry output value in Heilongjiang province and the study on relationship between labor demand. Output value of the combined forecasting research for below forecast is prepared. Fourth chapter in this paper, the use of some concepts, including related concepts of the related concept of value, labor, and on the basis of regression analysis analyzed the output value of the second industry in Heilongjiang province and the labor relations, it is concluded that determine the regression model. The fifth chapter mainly BPNN is applied to forecast and combination forecast for 2014-2014, the 10 years to predict the secondary industry output value in Heilongjiang province; Choose prediction effect i s better prediction model, and labour on the basis of the forecast. Chapter vi for the conclusion of the paper.
Keywords/Search Tags:secondary industry, labor demand, analysis regression, BP neural network, combination forecast
PDF Full Text Request
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