长江经济带创新产出的空间特征和时空演化

doi:10.18306/dlkxjz.2016.09.007

Abstract

Abstract:

This article analyzes the spatial distribution of innovation outputs—measured by the number of patent authorization—in the Yangtze River Economic Belt, using exploratory spatial data analysis (ESDA) method, based on the statistical data of 853 county-level cities from 1986 to 2014.The results are as follow: (1) The absolute difference of innovation output growth of the Yangtze River Economic Belt slowed before 2001, followed by a rapid growth in 2012, then began to decrease again. But the relative difference showed an increase-decrease-increase slowly-decrease trend, with increasing annual spatial correlation; (2) Innovative outputs in the Yangtze River Economic Belt counties showed dispersion, concentration, relative concentration spatial patterns. Counties/districts with higher innovation outputs were the urban districts of prefectural-level cities, economically developed counties, and the urban districts of provincial capital cities in the midwest. (3) The overall pattern of significant spatially correlated type areas was stable, while local changes were significantly. Positive correlation type was dominant at the county level, especially the significant low-low correlation type. Low-low correlation areas were mainly in the western region, but showed a tendency to extend to the central area. (4) Resource endowment, education level and R & D investment, technology spillover and diffusion, and policy and institution played a significant role in the process of change of innovation output spatial pattern in the Yangtze River Economic Belt.

Key words: innovation output, spatial characteristics, spatial autocorrelation, spatial and temporal evolution, Yangtze River Economic Belt

Jianwei ZHANG, Jiangjiang SHI, Yanhua WANG, Jianji ZHAO. Spatial characteristics and dynamic change of innovation outputs in the Yangtze River Economic Belt[J].PROGRESS IN GEOGRAPHY, 2016, 35(9): 1119-1128.

Figures/Tables 3

References 32

1	段学军, 邹辉, 王磊. 2015. 长江经济带建设与发展的体制机制探索[J]. 地理科学进展, 34(11): 1377-1387. doi: 10.18306/dlkxjz.2015.11.005
	[Duan X J, Zou H, Wang L.2015. Institutions and mechanisms for developing the Yangtze River Economic Belt[J]. Progress in Geography, 34(11): 1377-1387.] doi: 10.18306/dlkxjz.2015.11.005
2	樊杰, 王亚飞, 陈东, 等. 2015. 长江经济带国土空间开发结构解析[J]. 地理科学进展, 34(11): 1336-1344. doi: 10.18306/dlkxjz.2015.11.001
	[Fan J, Wang Y F, Chen D, et al.2015. Analysis on the spatial development structure of the Yangtze River Economic Belt[J]. Progress in Geography, 34(11): 1336-1344.] doi: 10.18306/dlkxjz.2015.11.001
3	方成, 赵磊, 杨宏浩. 2014. 浙江省创新产出空间相关性及其影响因素研究[J]. 华东经济管理, 28(7): 15-21. doi: 10.3969/j.issn.1007-5097.2014.07.004
	[Fang C, Zhao L, Yang H H.2014. A research on spatial autocorrelation of innovation output and its influencing factors in Zhejiang Province[J]. East China Economic Management, 28(7): 15-21.] doi: 10.3969/j.issn.1007-5097.2014.07.004
4	方创琳, 周成虎, 王振波. 2015. 长江经济带城市群可持续发展战略问题与分级梯度发展重点[J]. 地理科学进展, 34(11): 1398-1408. doi: 10.18306/dlkxjz.2015.11.007
	[Fang C L, Zhou C H, Wang Z B.2015. Sustainable development strategy and priorities of spatially differentiated development of urban agglomerations along the Yangtze River Economic Belt[J]. Progress in Geography, 34(11): 1398-1408.] doi: 10.18306/dlkxjz.2015.11.007
5	蒋天颖. 2014. 浙江省区域创新产出空间分异特征及成因[J]. 地理研究, 33(10): 1825-1836. doi: 10.11821/dlyj201410004
	[Jiang T Y.2014. Spatial differentiation and its influencing factors of regional innovation output in Zhejiang Province[J]. Geographical Research, 33(10): 1825-1836.] doi: 10.11821/dlyj201410004
6	李国平, 王春杨. 2012. 我国省域创新产出的空间特征和时空演化: 基于探索性空间数据分析的实证[J]. 地理研究, 31(1): 95-106.
	[Li G P, Wang C Y.2012. Spatial characteristics and dynamic changes of provincial innovation output in China: An investigation using the ESDA[J]. Geographical Research, 31(1): 95-106.]
7	刘凤朝, 刘靓, 马荣康. 2015. 区域间技术交易网络、吸收能力与区域创新产出: 基于电子信息和生物医药领域的实证分析[J]. 科学学研究, 33(5): 774-781.
	[Liu F C, Liu L, Ma R K.2015. Interregional technology transaction network, absorptive capacity and regional innovation output: Analysis based on the electronic information and biological medicine fields[J]. Studies in Science of Science, 33(5): 774-781.]
8	刘凤朝, 邬德林, 马荣康. 2015. 专利技术许可对企业创新产出的影响研究: 三种邻近性的调节作用[J]. 科研管理, 36(4): 91-100.
	[Liu F C, Wu D L, Ma R K.2015. Patent technology licensing and innovation performance of licensee firms: The moderating effects of three different types of proximity[J]. Science Research Management, 36(4): 91-100.]
9	柳卸林. 2005. 2004-2005年中国区域创新能力分析报告[J]. 科学学与科学技术管理, 26(12): 5-14. doi: 10.3969/j.issn.1002-0241.2005.12.001
	[Liu X L.2005. Report on regional innovation capability in 2004-2005 China[J]. Science of Science and Management of S. & T., 26(12): 5-14.] doi: 10.3969/j.issn.1002-0241.2005.12.001
10	陆大道. 2014. 建设经济带是经济发展布局的最佳选择: 长江经济带经济发展的巨大潜力[J]. 地理科学, 34(7): 769-772.
	[Lu D D.2014. Economic belt construction is the best choice of economic development layout: The enormous potential for the Changjiang River Economic Belt[J]. Scientia Geographica Sinica, 34(7): 769-772.]
11	牛欣, 陈向东. 2013. 城市创新跨边界合作与辐射距离探析: 基于城市间合作申请专利数据的研究[J]. 地理科学, 33(6): 659-667.
	[Niu X, Chen X D.2013. The cooperation innovation across city boundary and radiation distance: Based on the cross-city cooperation-patent application data[J]. Scientia Geographica Sinica, 33(6): 659-667.]
12	仇方道, 佟连军, 朱传耿, 等. 2009. 省际边缘区经济发展差异时空格局及驱动机制: 以淮海经济区为例[J]. 地理研究, 28(2): 451-463.
	[Qiu F D, Tong L J, Zhu C G, et al.2009. Spatio-temporal pattern and driving mechanism of economic development discrepancy in provincial border-regions: A case study of Huaihai Economic Zone[J]. Geographical Research, 28(2): 451-463.]
13	苏方林. 2010. 地级市R&D知识溢出的GWR实证分析[J]. 数理统计与管理, 29(1): 41-51.
	[Su F L.2010. An empirical analysis on China's regional R & D knowledge spillovers on using GWR[J]. Journal of Applied Statistics and Management, 29(1): 41-51.]
14	孙锐, 石金涛. 2006. 基于因子和聚类分析的区域创新能力再评价[J]. 科学学研究, 24(6): 985-990. doi: 10.3969/j.issn.1003-2053.2006.06.032
	[Sun R, Shi J T.2006. Secondary analyses on regional innovation ability in China using factor and cluster method[J]. Studies in Science of Science, 24(6): 985-990.] doi: 10.3969/j.issn.1003-2053.2006.06.032
15	孙威, 李文会, 林晓娜, 等. 2015. 长江经济带分地市承接产业转移能力研究[J]. 地理科学进展, 34(11): 1470-1478. doi: 10.18306/dlkxjz.2015.11.014
	[Sun W, Li W H, Lin X N, et al.2015. Capacity to undertake industrial transfer of cities and prefectures in the Yangtze River Economic Belt[J]. Progress in Geography, 34(11): 1470-1478.] doi: 10.18306/dlkxjz.2015.11.014
16	王春杨, 张超. 2014. 中国地级区域创新产出的时空模式研究: 基于ESDA的实证[J]. 地理科学, 34(12): 1438-1444.
	[Wang C Y, Zhang C.2014. Spatial-temporal pattern of prefecture-level innovation outputs in China: An investigation using the ESDA[J]. Scientia Geographica Sinica, 34(12): 1438-1444.]
17	吴玉鸣. 2007. 大学、企业研发与区域创新的空间统计与计量分析[J]. 数理统计与管理, 27(2): 318-324. doi: 10.3969/j.issn.1002-1566.2007.02.023
	[Wu Y M.2007. A spatial econometric analysis of university, enterprise research & development and regional innovation[J]. Application of Statistics and Management, 27(2): 318-324.] doi: 10.3969/j.issn.1002-1566.2007.02.023
18	许治, 邓芹凌. 2013. 国家创新型城市创新能力的地区差异与收敛效应: 基于技术成就指数的研究[J]. 科学学与科学技术管理, 34(1): 67-77.
	[Xu Z, Deng Q L.2013. The differences and convergence effect among national innovative cities' innovation abilities: Based on Technology Achievement Index[J]. Science of Science and Management of S. & T., 34(1): 67-77.]
19	薛宝琪. 2013. 中原经济区经济空间格局演化分析[J]. 经济地理, 33(1): 15-20.
	[Xue B Q.2013. Analysis of spatial pattern evolution of economy in Central Plains Economic Region[J]. Economic Geography, 33(1): 15-20.]
20	虞孝感, 王磊, 杨清可, 等. 2015. 长江经济带战略的背景及创新发展的地理学解读[J]. 地理科学进展, 34(11): 1368-1376. doi: 10.18306/dlkxjz.2015.11.004
	[Yu X G, Wang L, Yang Q K, et al.2015. Background of the Yangtze River Economic Belt development strategy and geography interpretation of its innovative development[J]. Progress in Geography, 34(11): 1368-1376.] doi: 10.18306/dlkxjz.2015.11.004
21	赵建吉, 曾刚. 2013. 基于技术守门员的产业集群技术流动研究: 以张江集成电路产业为例[J]. 经济地理, 33(2): 111-116.
	[Zhao J J, Zeng G.2013. The study on technological gatekeepers in technological flow of the industrial clusters: A case study of IC industrial cluster in Zhangjiang hi-tech park[J]. Economic Geography, 33(2): 111-116.]
22	中国科技发展战略研究小组, 中国科学院大学中国创新创业管理研究中心. 2015. 中国区域创新能力评价报告[M]. 北京: 科学技术文献出版社.
	[Chinese Research Group of Science and Technology for Development, Chinese Academy of Sciences Research Center of Innovation and Entrepreneurship University. 2015. Zhongguo quyu chuangxin nengli pingjia baogao[M]. Beijing, China: Scientific and Technical Documentation Press.]
23	周立, 吴玉鸣. 2006. 中国区域创新能力: 因素分析与聚类研究: 兼论区域创新能力综合评价的因素分析替代方法[J]. 中国软科学, (8): 96-103.
	[Zhou L, Wu Y M.2006. Factor analysis and cluster study on regional innovation capability of China's 31 provinces: An alternative to synthetically evaluation on regional innovation capability with factor analysis[J]. China Soft Science, (8): 96-103.]
24	Acs Z J, Anselin L, Varga A.2002. Patents and innovation counts as measures of regional production of new knowledge[J]. Research Policy, 31(7): 1069-1085. doi: 10.1016/S0048-7333(01)00184-6
25	Audretsch D B, Feldman M P.2004. Knowledge spillovers and the geography of innovation[C]//Henderson J V, Thisse J. Handbook of urban and regional economics, vol.4. Amsterdam, the Netherlands: North Holland Publishing: 2713-2739.
26	Bottazzi L, Peri G.2003. Innovation and spillovers in regions: Evidence from European patent data[J]. European Economic Review, 47(4): 687-710.
27	Caniëls M C J, Verspagen B.2001. Barriers to knowledge spillovers and regional convergence in an evolutionary model[J]. Journal of Evolutionary Economics, 11(3): 307-329. doi: 10.1007/s001910100085
28	Freeman C.2002. Continental, national and sub-national innovation systems-complementarity and economic growth[J]. Research Policy, 31(2): 191-211. doi: 10.1016/S0048-7333(01)00136-6
29	Greunz L.2003. Geographically and technologically mediated knowledge spillovers between European regions[J]. The Annals of Regional Science, 37(4): 657-680. doi: 10.1007/s00168-003-0131-3
30	Jaffe A B.1986. Technological opportunity and spillovers of R & D: Evidence from firms' patents, profits, and market value[J]. The American Economic Review, 76(12): 984-1001.
31	Moreno R, Paci R, Usai S.2005. Spatial spillovers and innovation activity in European regions[J]. Environment and Planning A, 37(10): 1793-1812.
32	Simmie J.2003. Innovation and urban regions as national and international nodes for the transfer and sharing of knowledge[J]. Regional Studies, 37(6-7): 607-620.

[1]	YUAN Feng, XIONG Xuelei, XU Ziteng, YU Linghui. Spatial differentiation and driving factors of economic resilience in the Yangtze River Economic Belt, China [J]. PROGRESS IN GEOGRAPHY, 2023, 42(2): 249-259.
[2]	MIAO Yi, LU Wenqing, DAI Teqi, SONG Jinping. Comprehensive traffic advantage degree and its spatial characteristics at the prefecture level on the Qinghai-Tibet Plateau: A case study of Linzhi City [J]. PROGRESS IN GEOGRAPHY, 2021, 40(8): 1332-1343.
[3]	LIU Ying, LI Peng, XIAO Chiwei, LIU Jia, YE Jingqiao, SHI Dong. Spatial characteristics and national differences of active fires derived from Visible Infrared Imaging Radiometer Suite (VIIRS) in Mainland Southeast Asia in the dry season during 2012-2019 [J]. PROGRESS IN GEOGRAPHY, 2021, 40(8): 1406-1418.
[4]	JIANG Lu, HUANG Gengzhi, XIE Huichun, WANG Changjian, GUO Jie, DONG Zhiqiang. A review of household energy consumption research from the perspective of spatial scale [J]. PROGRESS IN GEOGRAPHY, 2021, 40(10): 1788-1798.
[5]	FAN Qingyu, YANG Shan. Spatial characteristics and formation mechanism of coordinated development of urbanization in the Yangtze River Delta [J]. PROGRESS IN GEOGRAPHY, 2021, 40(1): 124-134.
[6]	JIN Gui, HU Yihang, CHEN Biyuan. Measurement of poverty reduction effectiveness at the city scale in the Yangtze River Economic Belt and its spatiotemporal change [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 972-981.
[7]	GUO Qingbin, LUO Kang, LIU Chengliang. A comparative study on the differences of factors aggregating ability among urban agglomerations in the Yangtze River Economic Belt [J]. PROGRESS IN GEOGRAPHY, 2020, 39(4): 542-552.
[8]	YANG Kui,ZHANG Yu,ZHAO Xiaofeng,WEN Qi,ZHONG Taiyang. Temporal and spatial characteristics and influencing factors of structural efficiency of rural land use [J]. PROGRESS IN GEOGRAPHY, 2019, 38(9): 1393-1402.
[9]	DUAN Xuejun,ZOU Hui,CHEN Weixiao,WANG Yazhu,YE Lei. Formation and change of the Yangtze River Economic Belt from a geographical perspective [J]. PROGRESS IN GEOGRAPHY, 2019, 38(8): 1217-1226.
[10]	Yiou ZHANG, Renxu GU, Shuang MA. Spatial characteristics and proximity mechanism of technology transfer among cities in China [J]. PROGRESS IN GEOGRAPHY, 2019, 38(3): 370-382.
[11]	WANG Guangyao, ZHAO Zhongqiu, ZHU Peitian, LI Yufeng, SU Zhijie, LIU Jian. Regional differences and types of rural functions in the Yangtze River Economic Belt [J]. PROGRESS IN GEOGRAPHY, 2019, 38(12): 1854-1864.
[12]	XIE Jiayan, ZENG Gang. Geography of complex knowledge and types of local knowledge pool in the Yangtze River Delta [J]. PROGRESS IN GEOGRAPHY, 2019, 38(12): 1968-1976.
[13]	Dan HE, Fengjun JIN, Teqi DAI, Ying SUN, Zhenyang ZHOU. Spatial patterns and characteristics for service level of urban public cultural facilities in central Beijing [J]. PROGRESS IN GEOGRAPHY, 2017, 36(9): 1128-1139.
[14]	Chunguang HOU, Yu CHENG, Jianlan REN, Yanbin CHEN. Spatiotemporal changes and influencing factors of innovation capacity in China [J]. PROGRESS IN GEOGRAPHY, 2016, 35(10): 1206-1217.
[15]	Jie FAN, Yafei WANG, Dong CHEN, Chenghu ZHOU. Analysis on the spatial development structure of the Yangtze River Economic Belt [J]. PROGRESS IN GEOGRAPHY, 2015, 34(11): 1336-1344.

Spatial characteristics and dynamic change of innovation outputs in the Yangtze River Economic Belt

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 3

References 32

Related Articles 15

Metrics

Comments

Recommended 0