政府统计数据质量的管理研究
发布时间:2018-05-07 09:50
本文选题:统计数据 + 统计数据质量 ; 参考:《内蒙古大学》2011年硕士论文
【摘要】:随着全球信息化水平进一步提高,我国社会主义市场经济体制的逐步建立,社会各界对统计信息的需求日益广‘泛,对统计数据质量的关注更多,要求更高。同时,统计所面临的内部环境和外部环境都发生了巨大的变化,这对传统统计方法下的统计数据质量既是挑战,又是机遇。我国政府于2002年4月21日正式加入了数据公布通用系统(GDDS),但不论是与社会各界对统计信息的需求相比,还是与统计核算和统计数据公布的国际准则的运作要求相比,我国的政府统计数据质量目前都还有一定差距。为了更好地满足社会经济发展过程中社会各界对统计数据的需求,避免社会各界对统计数据的质疑,使我国统计进一步与国际接轨,有必要对我国统计数据质量及其管理进行系统深入的研究。 本文首先从统计数据及质量的涵义出发,提出了系统的统计数据质量的概念,且具有评价的可操作性,也对质量管理提供了更多的方便;接着对统计核算、数据公布和统计数据质量评估框架这三个层次的国际准则中与政府统计数据质量管理相关的内容分别加以介绍和说明;进而论述了建立政府统计数据质量评价体系的必要性,结合科学的评价指标应满足的条件以及评价指标的设计原则,构建了具体的政府统计数据质量指标评价体系,并结专家分析和系统内调查问卷的形式给出政府统计数据质量的模糊综合评价方法;最后通过描述中国政府统计数据质量及质量管理工作的现状,找出了其存在的问题,并从统计数据质量管理的角度,对问题存在的原因进行了分析,提出应建立实施我国的政府统计数据的质量管理体系,并对该体系进行了具体描述。
[Abstract]:With the further improvement of the level of global informatization and the gradual establishment of the socialist market economic system of our country, the demand for statistical information from all walks of life is becoming wider and wider, and the quality of statistical data is paid more attention and the demand is higher. At the same time, great changes have taken place in the internal and external environment of statistics, which is both a challenge and an opportunity to the quality of statistical data under traditional statistical methods. On April 21, 2002, our government formally joined the General data Disclosure system (GDDS), but compared with the demand for statistical information from all walks of life and the operational requirements of the international standards for statistical accounting and statistical data publication, There is still a certain gap in the quality of government statistical data in our country. In order to better meet the demand for statistical data from all walks of life in the process of social and economic development, to avoid the doubt of statistical data from all walks of life in the society, and to make statistics in our country further in line with international standards, It is necessary to make a systematic and in-depth study on the quality of statistical data and its management in China. Based on the meaning of statistical data and quality, this paper puts forward the concept of systematic statistical data quality, which has the feasibility of evaluation and provides more convenience for quality management. The contents related to the quality management of government statistical data are introduced and explained in the three levels of international standards of data publication and statistical data quality assessment framework, and the necessity of establishing the evaluation system of government statistical data quality is discussed. Combined with the conditions that scientific evaluation index should satisfy and the design principle of evaluation index, a concrete evaluation system of government statistical data quality index is constructed. The fuzzy comprehensive evaluation method of government statistical data quality is given in the form of expert analysis and system questionnaire. Finally, by describing the current situation of Chinese government statistical data quality and quality management, the existing problems are found out. From the point of view of statistical data quality management, this paper analyzes the causes of the problems, and puts forward that a quality management system of government statistical data should be established in our country, and the system is described in detail.
【学位授予单位】:内蒙古大学
【学位级别】:硕士
【学位授予年份】:2011
【分类号】:C829.2
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