我国政府统计公信力问题研究

发布时间：2018-03-29 08:00

本文选题：政府统计　切入点：公信力　出处：《山东大学》2011年硕士论文

【摘要】：本文分析了加强政府统计公信力问题研究的意义。认为随着中国经济的快速发展,在当前网络化、全球化的社会背景下,政府统计数据受到国内外关注程度越来越高的同时,政府统计的社会公信力也在面临考验。社会公众对平均工资、GDP、CPI、房价等统计数据的质疑声不断。通过政府统计公信力问题的系统研究,可以使我们进一步了解当前政府统计公信力问题的现状,更加充分认识公信力对统计工作和统计机构的重要性,在全球化、网络化的背景下为提高政府统计公信力提供一些有益启示。本文采用文献研究与实证分析相结合的研究方法,通过分析当前政府统计公信力存在的一些统计数据不真实、数出多门、数据“打架”、一些数据与公众感受差距大等问题,从政府统计公信力形成的过程中系统梳理了影响政府统计公信力的统计体制、方法制度、调查对象、行政干预、数据公布、外部环境、统计人员素质等七大因素,进而提出提高政府统计公信力的对策建议。一是法律层面上,完善统计法律法规体系,依法统计：二是体制层面上,构建政府统计的新体制,规范统计。全方位加强部门统计工作,改革统计体制,推进基层基础建设,改革现行的政绩考核机制；三是方法层面上,创新政府统计的方法,科学统计。全国范围推行规模以上企业联网直报,推行“企业一套表”制度,完善统计方法制度,加快标准化建设进程,尤其加快统计数据发布标准化建设,加大对数据的解读；四是文化层面上,建设诚信统计的行业文化,领导干部要树立正确的政绩观。本文的创新之处在于一是从统计公信力形成过程的角度分析影响公信力的因素,二是相较以往研究,比较全面的梳理了影响政府统计公信力的因素。由于政府统计公信力问题涉及政府统计工作的方方面面,文献资料的有限以及笔者理论水平的限制,论文还存在不足之处,一些地方的论述还不够深入,分析还比较单薄。
[Abstract]:This paper analyzes the significance of the research on strengthening the credibility of government statistics. It holds that with the rapid development of Chinese economy, under the current social background of networking and globalization, government statistics are attracting more and more attention both at home and abroad. The social credibility of government statistics is also facing a test. The public is constantly questioning the statistical data such as average wages, GDP, CPI, house prices, etc. Through systematic research on the credibility of government statistics, It could give us a better understanding of the current status of the credibility of government statistics and the importance of credibility for statistical work and statistical institutions in the context of globalization, Under the background of network, it provides some beneficial enlightenment for improving the credibility of government statistics. This article adopts the research method of combining the literature research with the empirical analysis, through the analysis of the current government statistical credibility of some of the statistical data is not true, the number of multiple, data "fight", some data and public perception gap, and so on. From the process of forming the government statistical credibility, this paper systematically combs seven major factors, such as the statistical system, method system, survey object, administrative intervention, data publication, external environment, and the quality of statisticians, which affect the credibility of government statistics. And then put forward countermeasures and suggestions to improve the credibility of government statistics. First, at the legal level, we should perfect the system of statistics laws and regulations, and make statistics according to law; second, at the institutional level, we should build a new system of government statistics. To standardize statistics. To strengthen all aspects of departmental statistics, to reform the statistical system, to promote infrastructure at the grass-roots level, and to reform the current performance assessment mechanism; third, to innovate the methods of government statistics at the methodological level. Scientific statistics. Direct reporting of enterprises above the scale of enterprises across the country, implementation of the system of "one set of tables for enterprises", improvement of the system of statistical methods, speeding up the process of standardization construction, and, in particular, speeding up the construction of standardization of the publication of statistical data, Fourth, on the cultural level, to build the industry culture of honesty and statistics, leading cadres should set up a correct view of achievements. The innovation of this paper lies in: first, analyzing the factors influencing the credibility from the perspective of the forming process of statistical credibility; second, comparing with previous studies, This paper comprehensively combs the factors that affect the credibility of government statistics. Because the issue of government statistical credibility involves all aspects of government statistical work, the limited literature and the limitations of the author's theoretical level, there are still some deficiencies in the paper. Some local exposition is not deep enough, the analysis is still relatively thin.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：C829.2

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