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Compilation of Longitudianl Data File for Historical Analysis: Experiment of compiling database of manufacturing establishments and companies in 1980-1910.

用于历史分析的纵向数据档案的编制：1980-1910年制造企业和公司数据库编制的实验。

基本信息

批准号：
61830001
负责人：
MATSUDA Yoshiro
金额：
$ 6.59万
依托单位：
Institute of Economic Research, Hitotsubashi University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research
财政年份：
1986
资助国家：
日本
起止时间：
1986 至 1988
项目状态：
已结题

项目摘要

Recent development of computer environment has made it possible to handle a large scale database. Thus to compile a longitudinal data file based on the micro data for historical analysis becomes possible if the source of data remains. Our recent efforts is to compile a historical database aiming to reconstruct a list data of factories and companies obtained from various sources and to integrate these list data into one longitudinal file linking the data of same factory in different time periods.Our focus of attention is to analyse industrialization process of Japanese economy since the Meiji Restoration in 1858 after the opening the Japanese market to the world. The basic economic policy of the government was how to catch up the standard of the western world through introducing the western technology both hardware and software. The factory production system and company management system is one of the examples.Our results are the linked data of factories of 1902, 1909 and 1920 and companies of 1896, 1909 and 1920. By analysing this new data file the erosion of the respondents of the survey was estimated and thus the traditional figures used by historians are needed to be revised. In addition to that new cross tabulations are compiled such as factories classified by the types of owners and the size of capital etc.

计算机环境的最新发展使得处理大规模数据库成为可能。这样，只要数据来源保留，就可以根据微观数据编制纵向数据文件进行历史分析。我们最近的工作是编制一个历史数据库，旨在重建从各种来源获得的工厂和公司的列表数据，并将这些列表数据整合到一个纵向文件中，链接同一工厂在不同时期的数据。我们的重点是分析自1858年明治维新以来日本向世界开放市场后日本经济的工业化进程。政府的基本经济政策是如何通过引进西方的硬件和软件技术来赶上西方世界的水平。工厂生产系统和公司管理系统就是例子之一。我们的结果是1902年、1909年和1920年的工厂以及1896年、1909年和1920年的公司的关联数据。通过分析这个新的数据文件，估计了调查受访者的侵蚀程度，因此需要对历史学家使用的传统数据进行修订。除此之外，还编制了新的交叉表，例如按所有者类型和资本规模等分类的工厂。