Impact of Industrial Agglomeration on Regional Innovation: Innovation Factor Model and Empirical Test

被引：2
|
作者：
Zhou, Yuliang [1 ]
Li, Jinfeng [2 ]
机构：
[1] Guangdong Univ Finance & Econ, Sch Finance, Guangzhou, Peoples R China
[2] Zhaoqing Univ, Sch Liberal Arts, Zhaoqing, Peoples R China
来源：
2019 INTERNATIONAL CONFERENCE ON ECONOMIC MANAGEMENT AND MODEL ENGINEERING (ICEMME 2019) | 2019年
关键词：
industrial agglomeration; knowledge externality; regional innovation; innovation factor model; SPECIALIZATION; DIVERSITY; CITIES;
D O I：
10.1109/ICEMME49371.2019.00057
中图分类号：
F8 [财政、金融];
学科分类号：
0202 ;
摘要：
The traditional linear econometric model of the impact of industrial agglomeration on regional innovation has the problem of neglecting the factors of innovation production and endogeneity. This paper aims to advance the innovation factor model, focusing on innovation input factors such as technology, capital, human capital and labor force. From the perspective of two-stage value chain of innovation, data from 30 provinces in mainland China from 1999 to 2018 were used to do the spatial panel test. It is found that the innovation factor model can solve the shortcomings of the traditional model well and get some meaningful conclusions.
引用
收藏
页码：255 / 259
页数：5
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