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Research On The Evaluation Of Enterprise Vitality Integrating Spatial Elements

Posted on:2020-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y ChenFull Text:PDF
GTID:2439330596485367Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
In the critical period of China's economic and social transformation and upgrading,it is an important path for China's new urbanization to focus on the integration of industrial construction and modern urbanization management,and vigorously promote the integration of industrial development and urban development.It is also an inevitable choice for social development and transformation in the new era.In the existing industrial research,it is based on the industry itself and the interaction between industries.The research scope is relatively broad,and there is a lack of research and discovery on industry and its city from the micro level.The change and upgrading of industrial structure will cause the population to gather to enterprises,and human activities have an impact on the composition of urban space.From the microcosmic point of view,this paper studies the relationship between enterprises and the composition of urban space where enterprises are located,and focuses on exploring the relationship between the development of enterprises and industries and the composition of urban space.This paper takes listed companies as the research object,defines the impact of enterprises on urban space as the spatial vitality of enterprises,and introduces the spatial vitality into the traditional evaluation index system of enterprise vitality.The traditional enterprise evaluation system based on enterprise basic information and financial indicators is integrated into urban spatial vitality indicators,so that the composition of the evaluation system is extended from internal indicators to internal and external indicators.Internal indicators include enterprise size,profitability,solvency and innovation ability,while external indicators include enterprise spatial vitality.On the basis of the improved K-means clustering algorithm based on hierarchical clustering,the enterprise cluster analysis is carried out from two first-level index dimensions and five second-level index dimensions.Through the analysis of probability density distribution and geospatial distribution,the characteristics and distribution of different types of enterprises are further summarized and analyzed.Through the empirical analysis and research of Listed Companies in Beijing's information industry,the following conclusions are drawn:(1)The self-development and capability level of Listed Companies in Beijing's information industry(Shanghai and Shenzhen Stock Exchanges)are mostly within the same level range,i.e.the level is comparable,but in terms of the external impact of enterprises,i.e.the POI space composition around enterprises,there is a relatively high level gap.(2)The distribution of information industry in Beijing is in line with the functional planning of Haidian District,which indicates that the distribution of information industry in Beijing is developing steadily in accordance with the direction of Beijing's future urban planning.(3)Clustering study shows that the sample enterprises are classified mainly according to the spatial vitality index,and the spatial distribution of each type of enterprises shows a high degree of consistency with the division of Beijing's administrative areas and the distribution of the ring roads.From the perspective of spatial vitality composition,listed companies in Beijing information industry can be divided into three categories: high spatial vitality,medium spatial vitality and low spatial vitality according to the spatial vitality distribution of enterprises,and the distribution is highly correlated with the urban structure of Beijing.From the perspective of industry,the distribution of information industry manufacturing industry is mainly in Beijing's five and six rings,showing certain characteristics of industrial spatial distribution.
Keywords/Search Tags:Enterprise vitality, Space vitality, Evaluation index system, K-means Clustering
PDF Full Text Request
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