摘要
中国人民银行作为我国的中央银行，肩负着金融统计工作的重要责任，即通过对金
融机构各类金融业务数据进行收集和整理，用以反映金融业资金来源和资金运用情况，
从而为国家宏观经济调控和货币政策的制定提供数据支撑。然而，信息技术高速发展、
金融业务不断革新给人民银行的金融统计工作带进前所未有的机遇和挑战

现有的体系框架下，央行各级分支机构依据各自的具体分工，向统一的金融统计数
据系统报送地方法人金融机构数据，地市级中心支行在整个金融统计工作流程中属于底
层报数机构，本文在详细介绍基层央行金融统计数据报送工作模式的基础上，依据金融
统计工作管理的相关法规要求，提出以统计数据的一致性衡量数据报送工作的质量，以
统计数据报送的及时性来衡量数据报送工作的效率

通过比对金融机构银监会非现场监管报表与人民银行金融统计报表相同统计指标
的数据差异，金融机构原始报表数据与人民银行金融统计报表统计指标数据的差异，以
及人民银行金融统计数据与当地经济金融发展真实现状之间的差异来反映数据报送工
作质量的现状；通过对所在辖区金融统计工作人员进行全样本问卷调查，汇总得到统计
人员对数据报送工作完成的耗时长短、难易程度、工作压力等主观感受的调查结果，反
映出数据报送工作效率不高的问题。在进行深入分析之后，将基层央行金融统计数据报
送质量和效率欠缺的问题归结为以下两个层面的原因：技术层面包括统计报表设计、统
计指标定义以及数据属性维护等方面存在的缺陷；管理层面包括数据共享机制、数据收
集整理、数据发布环节以及监管权限等方面存在的不足

针对上述问题，对基层央行金融统计数据报送模式的创新进行了探讨，并提出了具
体的设计思路，以期达到数据准确、全面、及时的反映当地经济金融运行情况和货币政
策实施效果的金融统计工作目标，全面提高基层央行金融统计数据报送工作质量和效
率

关键词：基层央行；金融统计；报送模式；管理。II
Abstract
The People&39;s Bank of China, as the central bank of our country, shoulder the important
responsibility for the work of financial statistics, namely through the collection and collation
of various financial business data of financial institutions, to reflect the financial resources so
as to national macroeconomic regulation and control monetary policy to provide data support.
However, the rapid development of information technology and financial business innovation
bring unprecedented opportunities and challenges to the financial statistics work. Under the
framework of the existing system, the central bank branches at all levels according to their
specific segregation of duties submit the data to the unified financial statistics system.
Sub-branches of central bank as the fundamental part of the system, the quality of data which
is produced by its statistician directly affects the accuracy of the national financial statistics
summary results.
This paper gives a detailed description of the current working modes of sub-branch central
bank. By comparing the differences between the CBRC and the central bank financial
statistics sheets, gathering error species found in recent years the financial statistics
enforcement inspection process, figuring out the number of statistical data provided by
insurance business and securities companies, and summing up the number of cash flowing
indicators, it is reported that the financial statistical data reflects the lack of data accuracy and
comprehensiveness. Through the analysis of regional finance statistical work situation
questionnaire, reflect the data submitted to the work efficiency is not high. After in-depth
analysis, the basic level of the central bank financial data submitted to the quality and
efficiency of the problem boils down to the following two reasons. The technical level
includes statistics report design, statistical index definition and data attribute maintenance and
other aspects of the existence of defects. The management level, including data sharing
mechanism, data collection, data release links and regulatory authority and other aspects of
the deficiencies, etc. Aiming at the above problems, the paper puts forward the concrete
design idea, by building the whole financial institutions, the source data collection mode of
the whole business data, reduce the error of manual statistical process, improve the
comparability and aggregation of data, to guarantee the accuracy of the data up to submit the
provide the basis for macroscopic measure in the money supply at the same time, accurate,
comprehensive and timely reflect the local financial operation and the implementation of
monetary policy effects.
Key words: Sub-branch of central bank; financial statistics; submission modes;
management.III
目 录
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