地理科学进展

地理科学进展 ›› 2011, Vol. 30 ›› Issue (10): 1233-1239.doi: 10.11820/dlkxjz.2011.10.005

• 城市地理 • 上一篇    下一篇

中国大都市区科技资源配置效率研究——以京津冀、长三角和珠三角地区为例

王蓓1,2, 刘卫东1, 陆大道1   

  1. 1. 中国科学院区域可持续发展分析与模拟重点实验室中国科学院地理科学与资源研究所，北京 100101;
    2. 中国科学院研究生院，北京 100049
  • 收稿日期:2011-03-01 修回日期:2011-07-01 出版日期:2011-10-25 发布日期:2011-10-25
  • 作者简介:王蓓(1983-)，女，河南郑州人，博士研究生，主要研究方向为经济地理与区域发展。E-mail: wangb.09b@igsnrr.ac.cn
  • 基金资助:

    中国科学院知识创新工程项目(kzcx2-yw-345)。

Allocation Efficiency of Science and Technology Resources in Jing-Jin-Ji, Yangtze River Delta and Pearl River Delta Regions

WANG Bei1,2, LIU Weidong1, LU Dadao1   

  1. 1. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2011-03-01 Revised:2011-07-01 Online:2011-10-25 Published:2011-10-25

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摘要： 随着21 世纪知识经济时代的到来，科技创新成为经济社会持续发展的助推器；其中，大都市区是科技活动的聚集地。在中国，京津冀地区、长江三角洲地区和珠江三角洲地区在国家创新体系中扮演着重要的角色。文章通过分析京津冀、长三角和珠三角地区科技资源投入产出的主要指标，阐述了3 大都市区的科技发展态势，并运用熵值法和DEA模型方法，评价了科技资源配置综合效率。通过研究发现，京津冀、长三角和珠三角地区的科技发展态势及资源配置效率具有以下特点：① 京津冀、长三角和珠三角地区是中国科技资源的主要聚集地；② 京津冀地区的科技创新能力存在极化现象，创新单元分布不均衡；长三角和珠三角地区创新水平整体较为一致，有望成为中国最具创新活力的地区；③ 长三角和珠三角地区的科技资源配置综合效率整体优于京津冀地区。

关键词: 长江三角洲地区, 京津冀地区, 科技资源, 配置效率, 中国, 珠江三角洲地区

Abstract: With the coming of knowledge economy age, science and technology (S&T hereafter) innovation is becoming the impulse to economic sustainable development. Meanwhile, metropolitan area is the cluster of S&T innovative activities. In China, Jing-Jin-Ji (JJJ) region, Yangtze River Delta (YRD) region and Pearl River Delta(PRD) region play the most important roles in the construction of national S&T innovation system. Based on the main indicators in terms of the S&T input-output system, this paper describes the development of S&T resources in the JJJ, YRD and PRD regions, and evaluates the allocation efficiency of S&T resources in the three metropolitan areas according to entropy method and DEA method. On this basis, the findings presented in this paper confirm the characteristics of the development and allocation efficiency of S&T resources in the three regions as follows: 1) The JJJ, YRD and PRD regions are the major clusters of S&T resources in China. 2) The innovative ability of JJJ region shows polarization, and the innovative units are not distributed evenly; in contrast, the YRD and PRD regions have stronger innovative ability and are likely to be the most dynamic regions in China; 3) The allocation efficiency of S&T resources in the YRD and PRD regions is superior to that in JJJ region.

Key words: allocation efficiency, China, Jing-Jin-Ji region, Pearl River Delta region, S&T resources, Yangtze River Delta region