统计研究 ›› 2019, Vol. 36 ›› Issue (3): 42-50.doi: 10.19343/j.cnki.11-1302/c.2019.03.004

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规模以下工业调查的若干问题研究

金勇进 姜天英   

  • 出版日期:2019-03-25 发布日期:2019-03-27

A Study on Some Issues in Industrial Surveys under a Designated Size

Jin Yongjin & Jiang Tianying   

  • Online:2019-03-25 Published:2019-03-27

摘要: 规模以下工业调查作为工业统计调查的重要组成部分,是收集规模以下工业数据的主要工具。自1996年试点调查以来,规模以下工业调查制度已有过多次调整,但仍有部分问题尚待解决。在系统梳理了规模以下工业调查发展历程的基础上,本文对我国现行的抽样调查设计进行了详细总结;而后结合实地调研,从数据角度出发研究了规模以下工业调查存在若干问题:缺乏稳定的抽样框、样本与总体差异性较大、存在调查误差、与规模以上工业相关的规模划分问题以及非目录企业补充能力较弱等问题;并将以上问题归结为三大类:抽样框问题、数据质量问题和工业统计规模划分问题。最后针对三大类问题提出相对应的改进建议,包括使用地域抽样对规模以下工业企业进行抽样调查、加强数据的审核和控制,提高数据质量以及适当提高工业规模划分标准等。

关键词: 规模以下工业抽样调查, 抽样框, 调查误差, 地域抽样, 工业规模划分标准

Abstract: An industrial survey under a designated size is one of the most important components of the industrial statistical survey and a primary tool for collecting industrial data under a designated size. Since the pilot survey conducted in 1996, there have been many adjustments in industrial surveys under a designated size, but still there are so many issues to be confronted. Based on the hackle of the history of industrial surveys under designated sizes, this paper sums up the current sample survey designs in China. Then taking the field work findings into account, it studies some related issues existing in the industrial surveys under the designated sizes from the data point of view, such as: lacking stable sampling frames, large discrepancy between sample and population, survey errors, issues of categorizing industrial sizes related to industries above designated sizes, and the weakness of replacement of enterprises not on the list. All the issues mentioned are induced into three categories: sampling frame, data quality and standards of categorizing industrial sizes. Finally, proposals on dealing with all these issues in these three categories are raised, including using area sampling to conduct an industrial sample survey under a designated size, strengthening the data validation and quality control, improving the data quality and appropriately enhancing the standards of categorizing the industrial sizes.

Key words: Industrial Sample Survey under a Designated Size, Sampling Frame, Survey Error, Area Sampling, Standards for Categorizing Industrial Sizes