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中国智能型服务业发展影响因素研究——基于省际面板数据的实证
引用本文:彭湘君,曾国平,许岩.中国智能型服务业发展影响因素研究——基于省际面板数据的实证[J].科技管理研究,2016(19):123-128.
作者姓名:彭湘君  曾国平  许岩
作者单位:1. 重庆师范大学经济与管理学院,重庆,401331;2. 重庆大学公共管理学院,重庆,400044;3. 重庆大学经济与工商管理学院,重庆,400044
基金项目:国家社会科学基金青年项目,国家社会科学基金西部项目
摘    要:通过收集有关智能型服务业发展的产业背景、信息固定资产投资额、各类型智能型服务业收入、移动互联网接入使用情况等数据,全面描述我国智能型服务业发展概况。借助工具变量进行回归发现,早期智能型服务业的发展主要靠信息基础设施投资的拉动,而近些年主要是由于中国经济结构的优化改善促成的。从地域上看,各地的信息通讯设施投资确实为当地智能型服务业的发展搭建了基础平台,东部地区智能型服务业的发展更多由市场力量的推动,而中西部地区却主要依赖政府扶持的发展;另外GDP增长率水平、人口基数、经济结构、制度因素和信贷支持也是促进智能型服务业发展的重要因素。

关 键 词:智能型服务业  信息通讯技术(ICT)  资本存量  工具变量(Ⅳ)
收稿时间:2015/12/30 0:00:00
修稿时间:2016/9/23 0:00:00

A study on the influential factors of the development of intelligent service industry in China -- An Empirical Study Based on the provincial panel data
Abstract:Through the collection of 31 provinces and cities of the nationwide panel data, this paper analyzes the development trends of China''s eastern, central and western information communication manufacturing industry, By the factor and cluster analysis of 31 provinces and cities, the development of intelligent service industry is divided into four categories. In this paper, with the aid of instrumental variable regression the article found that early development of intelligent services were mainly driven by the information infrastructure investment, and in recent years it contributed to China''s economic structure optimization and improvement. From geographical point of view, information and communication facilities around the investment does build a basic platform for the development of local intelligent services. The development of intelligent service industry in the eastern region is more driven by market forces, while the Midwest region is mainly dependent on the development of government support. In addition per capita GDP level, population base, economic structure, institutional and credit factors are also important factors to promote the development of intelligent services.
Keywords:intelligent service industry  information communication technology (ICT)  capital stock  instrumental variable (Ⅳ)
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