Research on Spatial Characteristics and Mechanisms of Regional Innovation Capacity in Jiangsu Province, China

Haiying Xu, W. Hsu, X. Lu
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引用次数: 1

Abstract

The innovation capacity is a significant driven-force for regional economic growth. This article contributes to explore the spatial characteristics and mechanisms of innovation capacity in Jiangsu province. Cluster analysis and spatial autocorrelation analysis are used to examine the spatial characteristics. All data, sourcing from the Year Books of Jiangsu Province and the Chinese Urban Books, are involved in the number of patents for 13 cities from 2007 to 2016 in Jiangsu Province. There are some findings as follows: (1) the article divides 13 cities into 4 levels for the innovation capability, and we find an obvious decreasing trend from the South to the North. (2)The spatial differences of the innovation capacity are characterized by temporal evolution, which generally presents a trend of agglomeration-dispersion-re-agglomeration. Then, the article constructs the evaluation index system of the innovation capacity and factor analysis is conducted to explore the mechanisms. The results show that the important factors influencing the spatial difference in Jiangsu Province are involved in the number of colleges and universities, annual patents, the internal expenditures of large-and medium-sized enterprises, internet users, and the total stock of public libraries.
江苏省区域创新能力空间特征与机制研究
创新能力是区域经济增长的重要动力。本文旨在探讨江苏省创新能力的空间特征及其形成机制。利用聚类分析和空间自相关分析对空间特征进行分析。所有数据来源于江苏省年鉴和中国城市图书,涉及2007年至2016年江苏省13个城市的专利数量。研究发现:(1)将13个城市的创新能力划分为4个等级,从南到北呈现明显的下降趋势;(2)创新能力的空间差异具有时间演化特征,总体呈现集聚-分散-再集聚的趋势。在此基础上,构建了创新能力评价指标体系,并进行了因子分析,探讨其影响机制。结果表明:影响江苏省空间差异的重要因素是高校数量、年度专利数量、大中型企业内部支出、互联网用户数量和公共图书馆总存量;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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