| 中国科技资源配置效率测度及其时空格局演变特征(英文) |
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| 引用本文： | 范斐,杜德斌,王馨竹.中国科技资源配置效率测度及其时空格局演变特征(英文)[J].地理学报(英文版),2014,24(3):492-508. |
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| 作者姓名： | 范斐 杜德斌 王馨竹 |
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| 作者单位： | Center for Innovation Strategic Studies, East China Normal University |
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| 基金项目： | Foundation： Key Projects of Philosophy of the Social Science funded by the Ministry of Education, No. 11JD039; National Key Public Bidding Project for Soft Science Research Plan, No.2012GXS1D002; National Natural Science Foundation of China, No.41001083 |
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| 摘 要： | According to the connotation and structure of science and technology resources and some relevant data of more than 286 cities at prefecture level and above during 2001–2010, using modified method—Data Envelopment Analysis(DEA), science and technology(ST) resource allocation efficiency of different cities in different periods has been figured out, which, uncovers the distributional difference and change law of ST resource allocation efficiency from the time-space dimension. Based on that, this paper has analyzed and discussed the spatial distribution pattern and evolution trend of ST resource allocation efficiency in different cities by virtue of the Exploratory Spatial Data Analysis(ESDA). It turned out that:(1) the average of ST resource allocation efficiency in cities at prefecture level and above has always stayed at low levels, moreover, with repeated fluctuations between high and low, which shows a decreasing trend year by year. Besides, the gap between the East and the West is widening.(2) The asymmetrical distribution of ST resource allocation efficiency presents a spatial pattern of successively decreasing from Eastern China, Central China to Western China. The cities whose ST resource allocation efficiency are at higher level and high level take on a cluster distribution, which fits well with the 23 forming urban agglomerations in China.(3) The coupling degree between ST resource allocation efficiency and economic environment assumes a certain positive correlation, but not completely the same. The differentiation of ST resource allocation efficiency is common in regional development, whose existence and evolution are directly or indirectly influenced by and regarded as the reflection of many elements, such as geographical location, the natural endowment and environment of ST resources and so on.(4) In the perspective of the evolution of spatial structure, ST resource allocation efficiency of the cities at prefecture level and above shows a notable spatial autocorrelation, which in every period presents a positive correlation. The spatial distribution of ST resource allocation efficiency in neighboring cities seems to be similar in group, which tends to escalate stepwise. Meanwhile, the whole differentiation of geographical space has a diminishing tendency.(5) Viewed from LISA agglomeration map ofST resource allocation efficiency in different periods, four agglomeration types have changed differently in spatial location and the range of spatial agglomeration. And the continuity of ST resource allocation efficiency in geographical space is gradually increasing.
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| 关 键 词： | science and technology(S&T) resources cities at prefecture level and above modified Data Envelop-ment Analysis(DEA) Exploratory Spatial Data Analysis(ESDA) allocation efficiency |
The measure and characteristics of spatial-temporal evolution of China’s science and technology resource allocation efficiency |
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| Fei Fan,Debin Du,Xinzhu Wang.The measure and characteristics of spatial-temporal evolution of China’s science and technology resource allocation efficiency[J].Journal of Geographical Sciences,2014,24(3):492-508. |
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| Authors: | Fei Fan Debin Du Xinzhu Wang |
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| Institution: | 1. Center for Innovation Strategic Studies, East China Normal University, Shanghai, 200241, China
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| Abstract: | According to the connotation and structure of science and technology resources and some relevant data of more than 286 cities at prefecture level and above during 2001–2010, using modified method—Data Envelopment Analysis (DEA), science and technology (S&T) resource allocation efficiency of different cities in different periods has been figured out, which, uncovers the distributional difference and change law of S&T resource allocation efficiency from the time-space dimension. Based on that, this paper has analyzed and discussed the spatial distribution pattern and evolution trend of S&T resource allocation efficiency in different cities by virtue of the Exploratory Spatial Data Analysis (ESDA). It turned out that: (1) the average of S&T resource allocation efficiency in cities at prefecture level and above has always stayed at low levels, moreover, with repeated fluctuations between high and low, which shows a decreasing trend year by year. Besides, the gap between the East and the West is widening. (2) The asymmetrical distribution of S&T resource allocation efficiency presents a spatial pattern of successively decreasing from Eastern China, Central China to Western China. The cities whose S&T resource allocation efficiency are at higher level and high level take on a cluster distribution, which fits well with the 23 forming urban agglomerations in China. (3) The coupling degree between S&T resource allocation efficiency and economic environment assumes a certain positive correlation, but not completely the same. The differentiation of S&T resource allocation efficiency is common in regional development, whose existence and evolution are directly or indirectly influenced by and regarded as the reflection of many elements, such as geographical location, the natural endowment and environment of S&T resources and so on. (4) In the perspective of the evolution of spatial structure, S&T resource allocation efficiency of the cities at prefecture level and above shows a notable spatial autocorrelation, which in every period presents a positive correlation. The spatial distribution of S&T resource allocation efficiency in neighboring cities seems to be similar in group, which tends to escalate stepwise. Meanwhile, the whole differentiation of geographical space has a diminishing tendency. (5) Viewed from LISA agglomeration map of S&T resource allocation efficiency in different periods, four agglomeration types have changed differently in spatial location and the range of spatial agglomeration. And the continuity of S&T resource allocation efficiency in geographical space is gradually increasing. |
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| Keywords: | science and technology （S＆T） resources cities at prefecture level and above modified Data Envelop-ment Analysis （DEA） Exploratory Spatial Data Analysis （ESDA） allocation efficiency |
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