贵州制造业产业关联研究

发布时间：2018-02-09 23:43

本文关键词： 投入产出分析国民经济产业关联度产业聚集　出处：《贵州民族大学》2013年硕士论文　论文类型：学位论文

【摘要】：产业关联理论和投入产出分析方法揭示了产业间投入和产出相互依存关系、本文通过地区各产业与其他产业的产出和需求的变化，来判断各个产业对地区整个经济发展的影响。本文首先阐述了投入产出方法的国内外理论研究和应用背景的历史和现状；利用贵州省2007年投入产出表测算贵州省国民经济各个产业之间的产业关联度，，由贵州省I级分类42部门投入产出表数据，用投入产出分析方法结合贵州产业关联的情况进行比较分析,建立了包括42个产业的贵州省投入产出模型，作为贵州产业的投入产出的近似替代。然后通过计算各产业部门的影响力系数、感应度系数来分析贵州省产业间的相互关联性,我们分别了计算贵州省42个产业部门的影响力系数和感应度系数。当一个行业的影响力系数越大时，说明该行业产出的增加对其他行业产生的需求越大；当一个行业的感应度系数越大时，说明其他行业产出的增加对该行业产生的需求越大。我们利用以上原理讨论贵州省产业结构“十二五”规划产业关联布局。本文撰写过程中对贵州的产业关联分析结合了国务院关于贵州发展的国发2号文件[1]和贵州2010年工业发展大会提出的工业强省的要求，分析讨论了有关的经济发展过程、资源环境条件、产业发展基础，以及贵州产业协调发展的重要问题。
[Abstract]:The industrial relevance theory and the input-output analysis method reveal the interdependence between the inputs and outputs. This paper analyzes the changes of the output and demand between the industries and other industries in different regions. To judge the impact of various industries on the regional economic development. Firstly, this paper expounds the history and current situation of the theoretical research and application background of the input-output method at home and abroad. Based on the 2007 input-output table of Guizhou province, the paper calculates the industrial correlation degree among the various industries in the national economy of Guizhou Province. The data of the input-output table of the 42 departments of Grade I classification of Guizhou Province are used. This paper uses the input-output analysis method to compare and analyze the industrial relationship in Guizhou Province, and establishes an input-output model of Guizhou Province, which includes 42 industries. As an approximate substitute for the input-output of Guizhou industry. Then, by calculating the influence coefficient and the inductance coefficient of each industry department, the paper analyzes the interrelation between the industries in Guizhou province. The influence coefficient and sensitivity coefficient of 42 industrial departments in Guizhou province are calculated separately. When the influence coefficient of one industry is greater, the demand for other industries is greater when the industry output increases. The greater the sensitivity coefficient of one industry, the greater the demand for the increase of output in other industries. We use the above principles to discuss the layout of industrial association in the 12th Five-Year Plan of Industrial structure in Guizhou Province. In the course of writing this paper, the industrial correlation analysis of Guizhou is based on the Guofa No. 2 document [1] of the State Council on Guizhou's development and the requirements of the industrial development conference of Guizhou in 2010, and the relevant economic development process is analyzed and discussed. Resources and environment conditions, industrial development basis, and Guizhou industry coordinated development of important issues.
【学位授予单位】：贵州民族大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F127;F223

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