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Northeast Industrial Pillar Industry Development

Posted on:2008-02-16Degree:MasterType:Thesis
Country:ChinaCandidate:D LiFull Text:PDF
GTID:2199360242968915Subject:Statistics
Abstract/Summary:PDF Full Text Request
The northeast old industrial base has a very important position in the national economy and social development, so accelerating its adjustment and transformation and accomplishing its advancement will play a great role in promoting the development of our economy. Domestic scholars have made a lot of in-depth researches in this area and proposed a number of policy recommendations, but mainly have been concentrating on the adjustment and optimization of industrial structure and the development of leading industries, rarely referring to the revitalization and support of pillar industries. This thesis believes that the effect of the pillar industries in reviving the northeast old industrial base can not be ignored, because of the high technology-intensive, large-scale development, good economic returns, a vast market and the overall larger role in promoting economic development. The right choice of the pillar industries which can lead to the optimization and upgrade of industrial structure and adapt to the residents' requirements of upgrading the consumption structure, is related to the major development issues of the northeast old industrial base's national economy during the "11th Five-Year Plan" period. Also, the industrial economy in the northeast is the "pillar" and the main source of financial revenue and it has a dominant position in the northeast regional economic development, therefore, promoting the industrial pillar industries in the northeast old industrial base to develop rapidly and coordinately has a more important practical significance.This thesis on the basis of the existing theories of pillar industries has collected a large amount of data and used statistical analysis to have a research on the development of the Northeast, including six major parts. First, before the research of the pillar industries, it has presented the concept of pillar industries, the relationship between pillar industries and leading industries and the selection method of pillar industries. The description lays a solid foundation in theory for the analysis behind. Then on that basis, with the help of three northeast provinces' annual statistical data, two indexes, the improved business location and output value ratio, have been calculated and industrial pillar industries have been chosen according to an overall score. Third, the industrial pillar industries' ability to absorb employment has been analyzed and it has concluded that industrial pillar industries of Liaoning Province decreases ability to absorb employment, but Jilin Province and Heilongjiang Province increase. Fourth, according to market share and profitability level indicators, the competitiveness of industrial pillars of the three northeastern provinces has been analyzed to learn the competitive status of industrial pillar industries in the northeast old industrial base and explore measures to improve their competitiveness. Fifth, with multivariate statistical analysis methods and SPSS statistical analysis software, the relationship between the development of the three northeast provinces' industrial pillar industries and economic growth has been analyzed and the analysis has drawn the conclusion that industrial pillar industries' development and economic growth promote each other. Finally, the author has summarized the above results and advanced some suggestions on the development of the industrial pillar industries in the northeast in the light of the actual situation of the three northeast provinces,Industrial pillar industries are the economic growth point of the northeast and closely related to the process of northeast economic growth, therefore, the correct choice and study of industrial pillar industries is important to promote northeast economic growth. The present ways for choosing pillar industries are analyzing with static data, but this thesis based on the predecessors' theories has used time-series data, from the dynamic perspective, to figure out the index values by simple arithmetic average.
Keywords/Search Tags:Pillar industry, Leading industries, Industrial competitiveness, Employment
PDF Full Text Request
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