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Research On Quality Management Of Grass-Roots Government Statistics

Posted on:2019-08-06Degree:MasterType:Thesis
Country:ChinaCandidate:S J WeiFull Text:PDF
GTID:2417330575972879Subject:Public Administration
Abstract/Summary:PDF Full Text Request
Government statistics are the main basis for studying the national conditions and national conditions,the macro-control and regulation of the government and the formulation of major national policies.Therefore,the quality of government statistics directly affects government decision-making.With the increasing integration of the world economy and the gradual improvement of China's socialist market economic system,the demand for statistical information from all walks of life has become diversified,and higher requirements have been placed on the quality of statistical data.At the same time,the quality of statistical data is positively correlated with the accuracy of statistical data and the level of use value.That is,the higher the quality of statistical data,the higher the accuracy and the higher the value of use,and vice versa.Grassroots government statistics work is the basis of the entire statistical system work and directly affects the quality of statistical data.Therefore,to ensure the quality of statistical data and achieve true,accurate,complete,and timely statistical data,it is necessary to strengthen the research on the quality of statistical data of grassroots governments.Based on relevant research results at home and abroad,this paper uses the Shaxian County government as an example to analyze the statistical data and processes of the Shaxian County government to find out the status of statistical data quality management and conduct research on basic statistical agency personnel,survey unit statisticians,and the public.Find out the problems existing in the quality management of statistical data of the Shaxian County government,analyze the causes of the problems,and propose specific countermeasures.
Keywords/Search Tags:Grass-roots government, Statistical data, quality, management
PDF Full Text Request
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