长江流域资源与环境 >> 2015, Vol. 24 >> Issue (06): 917-924.doi: 10.11870/cjlyzyyhj201506003

• 区域可持续发展 • 上一篇    下一篇

中国省域R&D投入的区域差异及时空格局演变

沈宏婷1,2, 陆玉麒1   

  1. 1. 南京师范大学地理科学学院, 江苏 南京 210046;
    2. 江苏省社会科学院经济研究所, 江苏 南京 210013
  • 收稿日期:2014-05-08 修回日期:2014-08-12 出版日期:2015-06-20
  • 作者简介:沈宏婷(1982~ ),女,助理研究员,博士研究生,主要研究方向为区域经济与空间规划.E-mail:ting5373@sina.com
  • 基金资助:
    国家社会科学基金项目(13BJL097);国家自然科学基金重点项目(41430635)

REGIONAL DISPARITIES AND SPATIAL-TEMPORAL EVOLUTION OF CHINA'S PROVINCIAL R&D INVESTMENT

SHEN Hong-ting1,2, LU Yu-qi1   

  1. 1. College of Geographical Science, Nanjing Normal University, Nanjing 210046, China;
    2. Jiangsu Provincial Academy of Social Sciences, Nanjing 210013, China
  • Received:2014-05-08 Revised:2014-08-12 Online:2015-06-20

摘要: 以中国31个省市自治区为研究单元,以R&D强度为测度指标,采用传统统计分析方法,结合马尔可夫链和ESDA,分析了2001~2011年中国R&D投入的区域差异及时空格局演变。结果表明:中国省域R&D投入的绝对差距在扩大而相对差距在缩小,空间相关性逐渐增强,存在明显的"俱乐部趋同"现象。东西部之间R&D投入的空间差异有所扩大并呈两极分化的态势,投入重心正在向东南部偏移。R&D投入增长也具有明显的空间集聚特征,并形成了以长三角和鲁皖赣为核心向中西部地区梯度推进的圈层结构。增长热点区由分散格局转为集中连片格局,增长冷点区在大幅减少,全部集中在西部地区。R&D投入时空差异的形成受经济发展水平、政府科技投入力度、产业结构的变化和人力资本积累等多个因素的影响。

关键词: R&D投入, 区域差异, 时空格局, 成因分析

Abstract: This paper analyzed the regional disparities and spatial-temporal evolution of China's R&D investment during 2001-2011 based on the 31 provincial units. The research employed R&D intensity as the major measuring index, and used other methods such as traditional Statistic analysis, Markov chains and ESDA. The result shows as follows. ①The absolute disparity of China's provincial R&D investment had widened while the comparative disparity had narrowed. China's provincial R&D investment had shown a significant feature of spatial autocorrelation since 2006. The areas with similar features clustered in space, and the trend was strengthening except in 2009, indicating that the overall space difference was narrowing. There was a remarkable phenomenon of "Club Convergence", and the transition probability between different clubs was small. ②Concerning to the overall spatial framework, Zhejiang and Shandong provinces in the eastern coastal area were experiencing club upward mobility, Shanxi and Sichuan in the western area and Liaoning and in the Jilin northeast area were at club downward mobility. Areas with high R&D investment were transforming from a scattered pattern to concentrated in the southeastern coastal area, especially on Beijing and Shanghai. In contrast, areas with low R&D investment were more and more concentrated in the central, western and northeast areas. In general, the spatial disparity of R&D investment had been enlarging between the eastern and western area, and manifested an obvious tendency of polarization. ③The spatial pattern of the growth of R&D investment also showed a strong trend of spatial autocorrelation, and formed the layer structure circling around Yangtze River Delta and Shandong-Anhui-Jiangxi towards the Middle and West area. The hot spot areas used to be scattered around the Beijing-Tianjin city-region and Pan-Yangtze River Delta. However, it is now concentrated in Yangtze River Delta and spreading outwards. The numbers of the sub-hot spot areas increased quickly. These sub-hot spot areas surrounded the hot spot areas, indicating that the hot spot areas had strong demonstration and radiation effects. On the other hand, the cold spot areas were decreasing sharply, all concentrated in the west. Based on the above conclusion and the cause analysis of regional disparities and spatial-temporal evolution of China's R&D investment, the following suggestions were put forward. Firstly, to construct the diversified R&D investment system dominated by market mechanism and based on enterprises. Secondly, to stimulate the spillover effect from the eastern growth pole to reduce the innovation costs in the middle and western area. Thirdly, to promote the economic development in the middle and western area. At the same time, Shanxi, Sichuan and Hubei should strive for the early realization of the club's upwards mobility, so as to bring more central and western provinces to enjoy the spillover effect. Finally, other governments and social supports are required to ensure the spillover effect between regions.

Key words: R&D investment, regional disparities, spatial-temporal pattern, cause analysis

中图分类号: 

  • F129.9
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