System improvement of the second statistics mainly on industry connection and expansion of an analysis

以产业对接和拓展分析为主的二次统计体系完善

• 批准号: 08209122
• 负责人: SHIMIZU Masahiko
• 金额: $ 10.94万
• 依托单位: KEIO UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research on Priority Areas
• 财政年份: 1996
• 资助国家: 日本
• 起止时间: 1996 至 1998
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-08209122/
• 关键词: Input-Output Analysis; Production structure; Industrial Survey; Leontief Production Function; 要素制約型生産関数; 工業統計調査ミクロデータ; 事業所動態属性; 投入実績調査; 解放型静学モデル; 第1次統計; 第2次統計の精度; 産業連関表; 投入係数; 工業統計調査; 規模の経済性; 標本抽出の偏り; 工業統計個票; 分析用基本フォーマット; 擬似ミクロデータ

Input-Output table has been produced every five years since 1955 it is the comfiled statistical table which is based on Leontief's input-output analysis. Based on this comfiled statistical table, econometric analysis of production structure conducted regularlly. In particular, in case of input-output table following the open static model, production structure is described as input matrix in each production section. It is considered that the input coefficient that is an element of this matrix is a parameter of Leontief type production function. In this study, we tried to analyse the theoretical hypothesis in input-output table by using micro data of Manufacturing Census. After constructing the panel data using this census data, we divided the establishment groups which controlled production items (sixth digit of standard industrial classification) by, (1) continuation, (2) new entry, (3) exit, and estimate labor input coefficient. As a result it became clear that labor input coefficients differ substantially among different business conditions (i.e. continuation, entry and exit) ever within the same industrial classification code. For example, for companies whose greatest production item is same in 1990, coefficient is smallest for companies with exit (3), and the largest for companies with continuation (1). The other industry with digits of industrial classification code shows statistically significant differences, in coefficient values. To improse statistical accuracy of input-output table, it may be advisable to select samples, taking into account of distribution of input coefficients. The labor input coefficients.

投入产出表自1955年以来每五年编制一次，它是在列昂惕夫投入产出分析的基础上编制的综合统计表。在此基础上，定期进行产业结构的计量分析。特别是，在遵循开放静态模型的投入产出表的情况下，生产结构被描述为每个生产部门的投入矩阵。它被认为是该矩阵的元素的投入系数是Leontief型生产函数的参数。本研究试图利用制造业普查的微观数据对投入产出表中的理论假设进行分析。利用本次普查数据构建面板数据后，将控制生产项目（标准产业分类第6位）的企业群分为（1）延续、（2）新进入、（3）退出，并推算劳动投入系数。结果表明，在同一产业分类代码中，不同的经营条件（继续、进入、退出）下，劳动投入系数的差异很大。例如，对于1990年最大生产项目相同的公司，退出（3）的公司系数最小，继续（1）的公司系数最大。其他有行业分类代码位数的行业，其系数值差异有统计学意义。为了提高投入产出表的统计精度，在抽样时应考虑投入系数的分布情况。劳动投入系数。