高新技术产业发展空间统计分析与综合评价系统研制

发布时间：2018-03-19 01:27

本文选题：统计分析　切入点：空间相关　出处：《暨南大学》2015年博士论文　论文类型：学位论文

【摘要】：高新技术产业快速发展是实现产业升级和社会进步的首要推手,受到包括我国在内的世界主要国家的高度重视,对其进行统计、分析,做出决策部署是各国政府和研究学者非常关心的一个研究领域。统计学学科以往对高新技术产业的分析研究,以采用传统的分析模型和理论为主,也进行了少量单指标的空间分析,而将传统分析模型与空间相关分析进行结合,并借助信息化系统加以提升、表现的研究不多。空间自相关分析在空间统计分析方法中有着重要的地位,空间自相关中两种经典方法(Moran'I系数和Geary'C比率)在空间统计中得到了广泛的应用;综合评价分析、层次分析法和主成分分析法是统计分析的经典方法。将传统统计模型与空间统计模型结合起来并对我国高新技术产业发展数据进行实证分析,能够对数据进行更深入的挖掘分析。研究表明,空间相关模型能够与传统统计模型结合起来对数据进行有效处理;而我国高新技术产业发展全局相关性不强,在局部区域存在一定的相关性。综合评价与分析系统是有效处理数据,提高研究速度和研究效率的重要工具。以新兴的统计语言R语言为核心研制成功“统计分析与综合评价系统”,表明统计分析模型可实现信息化处理和空间地图处理,成为统计工作者使用的重要工具和平台。
[Abstract]:The rapid development of high-tech industries is the primary driver of industrial upgrading and social progress. It is highly valued by major countries in the world, including China, and is statistically analyzed. Decision making and deployment is a research field of great concern to governments and researchers. Statistics used traditional analytical models and theories to analyze and study high-tech industries in the past. A small number of single index spatial analysis is also carried out, and the traditional analysis model is combined with spatial correlation analysis, and the information system is used to upgrade it. Spatial autocorrelation analysis plays an important role in spatial statistical analysis, and two classical spatial autocorrelation methods, such as Moran I coefficient and Geary'C ratio, are widely used in spatial statistics. Analytic hierarchy process (AHP) and principal component analysis (PCA) are the classical methods of statistical analysis. This paper combines the traditional statistical model with the spatial statistical model and makes an empirical analysis on the development data of high-tech industries in China. The research shows that the spatial correlation model can be combined with the traditional statistical model to deal with the data effectively, but the overall relevance of the development of high-tech industry in China is not strong. There is a certain correlation in the local area. The comprehensive evaluation and analysis system is an effective data processing system. It is an important tool to improve the research speed and efficiency. "Statistical Analysis and Comprehensive Evaluation system" is successfully developed with R language as the core, which indicates that the statistical analysis model can realize information processing and spatial map processing. To become an important tool and platform used by statisticians.
【学位授予单位】：暨南大学
【学位级别】：博士
【学位授予年份】：2015
【分类号】：F276.44

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