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| 创新资源协同空间联系与区域经济增长——基于中国省域数据的实证分析 | |
| 引用本文： | 吕海萍,池仁勇,化祥雨.创新资源协同空间联系与区域经济增长——基于中国省域数据的实证分析[J].地理科学,2017,37(11):1649-1658. |
| 作者姓名： | 吕海萍 池仁勇 化祥雨 |
| 作者单位： | 1.浙江工业大学经贸管理学院,浙江 杭州 310023 2.浙江科技学院经济与管理学院,浙江 杭州 310023 3.浙江省经济信息中心经济监测预测处,浙江 杭州 310006 |
| 基金项目： | 国家自然科学基金项目（71203197）、国家社会科学基金项目（16BGL161）、浙江省自然科学基金项目(LY12G03029,LY17G030016)、浙江省社会科学界联合会重点研究项目（2017Z04）资助 |
| 摘 要： | 以中国31个省域为空间样本,运用趋势面、引力模型和探索性空间数据分析法研究中国创新资源协同空间联系的动态变化特征,通过构建创新资源协同势能与区域经济增长空间面板计量模型,实证探讨创新资源协同空间联系与区域经济增长关系。研究结果表明：2003~2014年中国各省域创新资源协同状况整体呈现“东南高,西北低”的空间分布特征;创新资源协同空间联系呈现显著的区域不平衡性,空间网络结构分布格局变化显著：从简单雏形逐渐发育为“鸡爪型”、多核心复杂化的“网络型”空间结构;创新资源协同势能呈现显著的空间正相关,主要向东部沿海地区集聚;实证结果显示中国区域经济增长存在显著的空间溢出效应,创新资源协同空间联系对区域经济增长表现出显著的促进效应,可以通过直接效应、间接效应和总效应空间溢出促进区域经济增长。 |
| 关 键 词： | 创新资源协同 空间联系 经济增长 空间溢出效应 空间计量 |
| 收稿时间： | 2016-12-05 |
| 修稿时间： | 2017-04-12 |
Spatial Linkages of Innovative Resources Synergy and Its Impacts on Regional Economic Growth: An Empirical Study Based on Chinese Provincial Data |
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| Haiping Lyu,Renyong Chi,Xiangyu Hua.Spatial Linkages of Innovative Resources Synergy and Its Impacts on Regional Economic Growth: An Empirical Study Based on Chinese Provincial Data[J].Scientia Geographica Sinica,2017,37(11):1649-1658. | |
| Authors: | Haiping Lyu Renyong Chi Xiangyu Hua |
| Institution: | 1.School of Economics and Management, Zhejiang University of Technology, Hangzhou, 310023, Zhejiang, China 2.School of Economics and Management, Zhejiang University of Science and Technology, Hangzhou, 310023, Zhejiang, China 3. Economic Monitoring and Forecasting Office, Zhejiang Economic Information Center, Hangzhou, 310006, Zhejiang, China |
| Abstract: | Spatial linkages of innovative resources synergy (IRS) not only can actively promote the intra-regional dynamic adjustment of IRS level, but also can promote the improvement of the inter-regional potential differences of IRS, thus, leading to a formation of new motivation of regional economic growth. But the existing studies rarely involve in the research on spatial linkages characteristics of IRS and its influence on regional economic growth. This study analyzes characteristics of spatial linkages of innovative resources synergy in 31 provinces of China using trend analysis, gravity model and exploratory spatial data analysis, further constructs a spatial panel model of spatial linkages of IRS affecting regional economic growth, investigates the specific effect of spatial linkages of IRS on regional economic growth by using spatial econometric. The conclusions are as follows: From 2003 to 2014 synergy of innovative resources of China’s 31 provinces overall show the spatial trend of “southeast high, northwest low”, and dynamic spatial differentiation of “high in east, low in west, declining in north, and rising in south”; The spatial linkages of IRS in China has the obvious regional imbalance, and its network structure has changed significantly. It now has developed into a complex multi-core “network-based” structure from a simple embryonic form in 2003 to a “chicken toe”-type in 2009; IRS potential shows the significant positive correlation and the significant spatial agglomeration trend to Eastern Coastal Area; The spatial spillover effect of regional economic growth in China is significant, and the spatial linkages of IRS has a significant positive effect on regional economic growth. It not only can promote significantly the region’s economic growth by the direct effect, but also promote significantly adjacent regions’ economic growth by the indirect and total effect. And the direct promotion effect is greater than the indirect promotion effect. Based on the above research, this article suggests that, the government should adjust the way how the innovative resources can be allocated, make the market to be the decisive role in promoting the interregional innovation resources flow, optimize the network structure of the spatial linkages of IRS, and maximize the spatial spillover effect of innovative resources synergy. |
| Keywords: | innovative resources synergy (IRS） spatial linkages economic growth spatial spillover effect spatial econometric |
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