基于统一社会信用代码大数据的我国外资利用规模及结构分析  

Analysis on the Scale and Structure of Foreign Capital Utilization in China Based on Unified Social Credit Code

作　　者：杨秀丹[1] 王凤琪 张东冉 YANG Xiudan;WANG Fengqi;ZHANG Dongran(School of Management, Hebei University, Baoding 071002, China)

机构地区：[1]河北大学管理学院,保定071002

出　　处：《情报工程》2019年第1期14-26,共13页Technology Intelligence Engineering

基　　金：国家社科基金"新型城镇结构演化中的信息驱动力研究"(14BTQ042)

摘　　要：自改革开放以来,利用外资作为我国基本国策的重要内容之一,一直是推动着我国经济发展和经济结构转变的重要力量。一般外资利用研究多基于经济行为事后采集数据,本论文利用事前注册数据进行前向分析,以2008-2014年的统一社会信用代码全样本数据为基础,分析外资企业整体发展态势、行业和地区分布状态,并对典型行业如制造业、零售业和软件与信息传输业进行重点分析,探索相关政策与外资利用之间的互动关系以及对不同地区、不同行业的影响程度。研究发现,外资利用整体上在2012年之后呈现下降趋势;行业和空间分布则表现为行业分布不均,以传统行业为主,空间上集中于东部地区及东南沿海地区。As one of the important national policies of China, the utilization of foreign capital has been an essential power to drive Chinese economical development and economical structure change since its reform and opening up. Previous studies on the foreign capital utilization usually take the backward observation based on the statistical data of the results of economical behaviours. This paper uses the registration data to do pro-forecast analysis, studies the whole trend, industrial and spatial distribution status of the foreign capital utilization based on the total sample data of the unified social credit code from 2008 to 2014, and further to analyze typical industries like manaufacturing, retailing and software and information transformation, trying to find the correlation between the activity of foreign enterprises and national policies and the world economic situation. It has been found that the utilization of foreign capital in China experienced a decline trend after 2012 from the whole perspective view. The industrial distribution study shows that foreign industries were uneven and mainly on traditional industries;meanwhile, given the spatial distribution, then focused on eastern regions and southeast coastal areas.

关 键 词：统一社会信用代码 外资利用 前向分析 

分 类 号：G35[文化科学—情报学]