本文選題：政府統(tǒng)計(jì)　切入點(diǎn)：公信力　出處：《山東大學(xué)》2011年碩士論文

【摘要】：本文分析了加強(qiáng)政府統(tǒng)計(jì)公信力問題研究的意義。認(rèn)為隨著中國(guó)經(jīng)濟(jì)的快速發(fā)展,在當(dāng)前網(wǎng)絡(luò)化、全球化的社會(huì)背景下,政府統(tǒng)計(jì)數(shù)據(jù)受到國(guó)內(nèi)外關(guān)注程度越來越高的同時(shí),政府統(tǒng)計(jì)的社會(huì)公信力也在面臨考驗(yàn)。社會(huì)公眾對(duì)平均工資、GDP、CPI、房?jī)r(jià)等統(tǒng)計(jì)數(shù)據(jù)的質(zhì)疑聲不斷。通過政府統(tǒng)計(jì)公信力問題的系統(tǒng)研究,可以使我們進(jìn)一步了解當(dāng)前政府統(tǒng)計(jì)公信力問題的現(xiàn)狀,更加充分認(rèn)識(shí)公信力對(duì)統(tǒng)計(jì)工作和統(tǒng)計(jì)機(jī)構(gòu)的重要性,在全球化、網(wǎng)絡(luò)化的背景下為提高政府統(tǒng)計(jì)公信力提供一些有益啟示。 本文采用文獻(xiàn)研究與實(shí)證分析相結(jié)合的研究方法,通過分析當(dāng)前政府統(tǒng)計(jì)公信力存在的一些統(tǒng)計(jì)數(shù)據(jù)不真實(shí)、數(shù)出多門、數(shù)據(jù)“打架”、一些數(shù)據(jù)與公眾感受差距大等問題,從政府統(tǒng)計(jì)公信力形成的過程中系統(tǒng)梳理了影響政府統(tǒng)計(jì)公信力的統(tǒng)計(jì)體制、方法制度、調(diào)查對(duì)象、行政干預(yù)、數(shù)據(jù)公布、外部環(huán)境、統(tǒng)計(jì)人員素質(zhì)等七大因素,進(jìn)而提出提高政府統(tǒng)計(jì)公信力的對(duì)策建議。一是法律層面上,完善統(tǒng)計(jì)法律法規(guī)體系,依法統(tǒng)計(jì)：二是體制層面上,構(gòu)建政府統(tǒng)計(jì)的新體制,規(guī)范統(tǒng)計(jì)。全方位加強(qiáng)部門統(tǒng)計(jì)工作,改革統(tǒng)計(jì)體制,推進(jìn)基層基礎(chǔ)建設(shè),改革現(xiàn)行的政績(jī)考核機(jī)制；三是方法層面上,創(chuàng)新政府統(tǒng)計(jì)的方法,科學(xué)統(tǒng)計(jì)。全國(guó)范圍推行規(guī)模以上企業(yè)聯(lián)網(wǎng)直報(bào),推行“企業(yè)一套表”制度,完善統(tǒng)計(jì)方法制度,加快標(biāo)準(zhǔn)化建設(shè)進(jìn)程,尤其加快統(tǒng)計(jì)數(shù)據(jù)發(fā)布標(biāo)準(zhǔn)化建設(shè),加大對(duì)數(shù)據(jù)的解讀；四是文化層面上,建設(shè)誠(chéng)信統(tǒng)計(jì)的行業(yè)文化,領(lǐng)導(dǎo)干部要樹立正確的政績(jī)觀。 本文的創(chuàng)新之處在于一是從統(tǒng)計(jì)公信力形成過程的角度分析影響公信力的因素,二是相較以往研究,比較全面的梳理了影響政府統(tǒng)計(jì)公信力的因素。由于政府統(tǒng)計(jì)公信力問題涉及政府統(tǒng)計(jì)工作的方方面面,文獻(xiàn)資料的有限以及筆者理論水平的限制,論文還存在不足之處,一些地方的論述還不夠深入,分析還比較單薄。
[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.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類號(hào)】：C829.2

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張宏性;;美國(guó)統(tǒng)計(jì)公信力保障有方[J];數(shù)據(jù);2010年03期

2 國(guó)涓;統(tǒng)計(jì)信息失真的博弈分析及對(duì)策[J];東北財(cái)經(jīng)大學(xué)學(xué)報(bào);2001年04期

3 劉佩莉;統(tǒng)計(jì)信息失真的原因及對(duì)策分析[J];甘肅科技;2005年04期

4 黃磊;;我國(guó)統(tǒng)計(jì)數(shù)據(jù)質(zhì)量的現(xiàn)狀及對(duì)策[J];湖北成人教育學(xué)院學(xué)報(bào);2008年01期

5 許滌龍;葉少波;;政府統(tǒng)計(jì)數(shù)據(jù)質(zhì)量及其提高對(duì)策研究[J];湖湘論壇;2009年06期

6 肖婷婷;淺析影響統(tǒng)計(jì)信息質(zhì)量的非技術(shù)原因[J];經(jīng)濟(jì)師;2003年09期

7 王紅茹;;哪些統(tǒng)計(jì)數(shù)據(jù)不靠譜?[J];中國(guó)經(jīng)濟(jì)周刊;2010年28期

8 汪孝宗;;哪個(gè)省的GDP含金量更高?[J];中國(guó)經(jīng)濟(jì)周刊;2011年08期

9 范延成;;統(tǒng)計(jì)與政府形象[J];學(xué)理論;2010年13期

10 朱海平;;中國(guó)統(tǒng)計(jì)資料可靠性的制度分析[J];理論探討;2008年06期

相關(guān)會(huì)議論文 前1條

1 朱孔來;;對(duì)中國(guó)建立“全社會(huì)大統(tǒng)計(jì)體系”改革模式的思考[A];中國(guó)現(xiàn)場(chǎng)統(tǒng)計(jì)研究會(huì)第12屆學(xué)術(shù)年會(huì)論文集[C];2005年

相關(guān)重要報(bào)紙文章 前4條

1 韓玉君 李先潤(rùn)/;[N];中國(guó)信息報(bào);2006年

2 郭翰超;[N];中國(guó)信息報(bào);2010年

3 國(guó)家統(tǒng)計(jì)局北京調(diào)查總隊(duì)總隊(duì)長(zhǎng) 潘t，

本文編號(hào)：1680245