中国地级以上城市工业创新效率空间格局研究

doi:10.13249/j.cnki.sgs.2016.03.001

地理科学 ›› 2016, Vol. 36 ›› Issue (3): 321-327.doi: 10.13249/j.cnki.sgs.2016.03.001

• • 下一篇

中国地级以上城市工业创新效率空间格局研究

杜志威^1,²(), 吕拉昌^3,⁴(), 黄茹³

1.中山大学地理科学与规划学院,广东广州 510275
2.广州大学地理科学学院,广东广州 510006
3.首都师范大学资源环境与旅游学院,北京 100048
4.北京城市创新与发展研究中心,北京100048

收稿日期:2014-09-09 修回日期:2015-01-04 出版日期:2016-03-20 发布日期:2016-03-20
作者简介:
杜志威（1987-）,男,广东广州人,博士研究生,主要从事城市与区域发展研究。E-mail: 84102294@qq.com
基金资助:
国家自然基金项目（41471136）、北京市自然科学基金资助项目（9132002）、国家社科重大招标课题（12&ZD169）、国家社会科学重点项目（12AZD100）资助

Spatial Pattern of Industrial Innovation Efficiency for Chinese Cities at Prefecture Level and Above

Zhiwei Du^1,²(), Lachang Lyu^3,⁴(), Ru Huang³

1. School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, Guangdong, China
2. School of Geographical Sciences, Guangzhou University, Guangzhou 510006, Guangdong, China
3. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
4. Center of Urban Innovation and Development Research, Beijing 100048, China

Received:2014-09-09 Revised:2015-01-04 Online:2016-03-20 Published:2016-03-20
Supported by:
Under the auspices of National Nature Science Foundation of China (41471136), Beijing Natural Science Foundation (9132002), Key Public Biding Project of National Social Science of China (12&ZD169), Key Program for National Social Science Foundation of China (12AZD100)

摘要/Abstract

摘要：

以中国288个地级以上城市为研究对象,运用2008年第二次全国经济普查工业创新活动数据,综合考察城市工业创新效率的空间格局及其影响因素。首先,从投入和产出两方面构建了中国城市工业创新效率评价体系,运用DEA包络分析方法,从规模效率和纯技术效率两个维度对城市工业创新技术效率进行分析。然后,以聚类分析划分了3类工业创新效率城市,总结工业创新效率模式的空间特征,并分析了影响空间格局的原因。研究发现：中国城市工业创新效率呈现东强西弱,阶梯状减弱的总体空间格局,工业创新规模效率和纯技术效率的空间特征并不重合;全国尺度上,工业创新效率城市的空间分布与人口密度“黑河-腾冲”线的分布基本一致,区域尺度上,城市间呈现“核心-边缘”空间结构;城市工业创新效率空间格局受到工业发展基础与工业创新能力影响,提高城市工业创新效率关键在于提升工业创新中人力资本要素和优化工业创新投入规模。

关键词: 工业创新效率, 空间格局, 投入产出, DEA, 城市

Abstract:

With the development of knowledge economy, Chinese industrialization is transferring from traditional factor-driving stage to innovation-driving stage. Innovation becomes a significant force for promoting urban industrial efficiency. Exploring the spatial pattern of Chinese urban industrial innovation efficiency can make contribution to improving total innovation efficiency and industrial upgrading for China. 288 cities at prefecture level and above in China are chosen as the objects of study, in order to investigate on the spatial pattern of urban industrial innovation efficiency as well as seek its influential factor. To begin with, we use industrial innovation data from national economic census, and establish an index system of urban industrial innovation efficiency, which is constructed from innovation inputs aspect and innovation outputs aspect. By using Data Envelopment Analysis (DEA), urban industrial innovation technical efficiency (TE) is explained separately from Pure Technical Efficiency (PTE) and Scale Efficiency (SE). Moreover, we divide 3 categories of urban industrial innovation efficiency cities through clustering analysis, exploring spatial pattern characteristic of them. Our findings are 1) Overall spatial pattern of Chinese urban industrial innovation efficiency shows gradient weakened from the east to the west, while the spatial characteristic for PTE and SE is mismatched. 2) Spatial distribution of industrial innovation efficiency cities is approximately coincided with Chinese population distribution, which relates to the “Heihe-Tengchong Line”, and displays obviously “core-periphery” spatial structure in regional scale, such as the Beijing-Tianjin-Hebei region, the Changjiang River Delta region, the Zhujiang River Delta region, the Bohai Rim region and the Chengdu-Chongqing region. 3) Industrial innovation capability and Industrial developing basement are developing combined impact on the spatial pattern of Chinese urban industrial innovation efficiency, while improving human capital elements and optimizing the scale of industrial innovation input is the key of urban industrial innovation efficiency.

Key words: industrial innovation efficiency, spatial pattern, input-output, DEA, cities

中图分类号:

F290

杜志威, 吕拉昌, 黄茹. 中国地级以上城市工业创新效率空间格局研究[J]. 地理科学, 2016, 36(3): 321-327.

Zhiwei Du, Lachang Lyu, Ru Huang. Spatial Pattern of Industrial Innovation Efficiency for Chinese Cities at Prefecture Level and Above[J]. SCIENTIA GEOGRAPHICA SINICA, 2016, 36(3): 321-327.

图/表 5

图1

图2

图3

图4

表1

参考文献 23

[23]	[Lu Lachang.Innovation of Metropolitan Space in China. Beijing: Science Press, 2009.]
[24]	Romer, Paul M.Endogenous Technological Change[J]. Journal of Political Economy, 1990,98:71-102.
[25]	周天勇. 2008年: 中国城市创新报告[M].北京:红旗出版社,2008.
	[Zhou Tianyong.China’s Cities Report on Innovation. Beijing: Red Flag Press, 2006.]
[1]	吕拉昌,李勇.基于城市创新职能的中国创新城市空间体系[J].地理学报,2010,65(2):177-190. doi: 10.11821/xb201002005
	[Lu Lachang, Li Yong.A Research on Chinese Renovation Urban System Based on Urban Renovation Function. Acta Geographica Sinica, 2010, 65(2): 177-190.] doi: 10.11821/xb201002005
[2]	Edwin Mansfield.Industrial Innovation in Japan and the United States[J].Science,1988,(241): 1769-1774.
[3]	Edwin Mansfield.The Speed and Cost of Industrial Innovation in Japan and the United States: External vs. Internal Technology[J].Management Science,1994,(34):1157-1168. doi: 10.1126/science.241.4874.1769 pmid: 17783128
[4]	Chris Freeman, Luc Soete.The economics of industrial innovation(3rd edition)[M]. Cambridge,MA:The MIT Press,1997.
[5]	Roy Rothwell.Successful industrial innovation: critical factors for the 1990s[J]. R&D Management,1992,(22):221-240. doi: 10.1111/j.1467-9310.1992.tb00812.x
[6]	Dickson D.United-states Government to Review Industrial Innovation[J].Nature, 1978,(5661):330-330.
[7]	Fritsch M.Measuring the Quality of Regional Innovation Systems-A Knowledge Production Function Approach[J]. International Regional Science Review,2002,25(1):86-101.
[8]	吴延兵. 自主研发、技术引进与生产率——基于中国地区工业的实证研究[J].经济研究,2008,(8) :51-64.
	[Wu Yanbing.Indigenous R&D, Technology Imports and Productivity: Evidence from Industries across Regions of China. Economic Research Journal, 2008, (8): 51-64.]
[9]	庞瑞芝,李鹏. 中国工业创新:过程、效率与模式——基于2001-2008年大中型工业企业的数据[J]. 产业经济研究,2011,(2):1-8.
	[Pang Ruizhi, Li Peng.China's Industrial Innovation Process, Efficiency and Modes: Based on the Data from China's Large and Medium Industrial Enterprises in 2001-2008. Industrial Economics Research, 2011, (2): 1-8.]
[10]	Sun Yifei, Du Debin.Determinants of industrial innovation in China: Evidence from its recent economic census[J]. Technovation,2010,(9-10):540-550. doi: 10.1016/j.technovation.2010.05.003
[11]	沈能,潘雄锋.基于三阶段 DEA模型的中国工业企业创新效率评价[J].数理统计与管理,2011,30(5):846-855.
	[Shen Neng, Pan Xiongfeng.Evaluation of Industrial Enterprise’s Innovation Efficiency in China Based on Three-stage DEA Model. Application of Statistics and Management, 2011, 30(5): 846-855.]
[12]	Sun YF.Geographic patterns of industrial innovation in China during the 1990s[J]. Tijdschrift Voor Economische en Sociale Geografie,2003,(3): 376-389. doi: 10.1111/1467-9663.00264
[13]	李国平,王春杨. 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,2012,32(1):18-23. doi: 10.11821/yj2012010010
	[Li Guoping, Wang Chunyang.Spatial characteristics and dynamic changes of provincial innovation output in China: An investigation using the ESDA. Geographical Research, 2012, 32(1): 18-23.] doi: 10.11821/yj2012010010
[14]	王伟光. 中国工业行业技术创新效率的实证研究(1990~1999)[J].沈阳师范大学学报(社会科学版),2003,(1):57-62.
	[Wang Weiguang.On the Innovation Ratio of Industrial Technology in China. Journal of Shenyang Normal University (Social Science Edition), 2003, (1): 57-62.]
[15]	马占新. 数据包络分析模型与方法[M].北京:科学出版社,2010.
	[Ma Zhanxin.Model and Method of Data Envelopment Analysis. Beijing: Science Press, 2010.]
[16]	俞立平. 企业性质与创新效率——基于国家大中型工业企业的研究[J]. 数量经济技术经济研究, 2007, (5): 108-115.
	[Yu Liping.Research on Relationship between Enterprise Character and Innovation Efficiency. The Journal of Quantitative & Technical Economics, 2007, (5): 108-115.]
[17]	桂黄宝. 我国高技术产业创新效率及其影响因素空间计量分析[J].经济地理,2014,29(6): 100-107.
	[Gui Huangbao.Innovation efficiency and its influencing factors of China's high-tech industry based on the spatial econometric model. Economic Geography, 2014, 29(6): 100-107.]
[18]	国务院第二次全国经济普查领导小组办公室.中国经济普查年鉴2008[M].北京: 中国统计出版社,2010.
	[National Bureau of Statistics of China. China Economic Census Yearbook 2008. Beijing: China Statistics Press, 2010.]
[19]	第二次全国R&D资源清查领导小组办公室. 第二次全国科学研究与试验发展(R&D)资源清查主要数据公报[EB/OL]. . (2010-11-22). [Office of the National Second R&D Census. National Statistics of Science and Technology Institution on the Second R&D Census . 2010-11-22.]
[20]	国家统计局城市社会经济调查司.中国城市统计年鉴2009[M].北京: 中国统计出版社.
	[National Bureau of Statistics of China. China City Statistical Yearbook. Beijing: China Statistics Press, 2010.]
[21]	崔功豪,魏清泉,刘科伟.区域分析与区域规划 (第二版) [M].北京:高等教育出版社,2006.
	[Cui Gonghao, Wei Qingquan, Liu kewei. Regional Analysis and Regional Planning (2nd Edition). Beijing: Higher Education Press, 2006.]
[22]	薛彦平. 欧洲工业创新体制与政策分析[M].北京:中国社会科学出版社,2009.
	[Xue Yanping.An analysis of industrial innovation system and policy in Europe. Beijing: China Social Sciences Press, 2006.]
[23]	吕拉昌. 中国大都市的空间创新[M].北京:科学出版社, 2009.

模型	B	标准差	Beta	t	Sig
(常量)	-195455.063	125314.776	-	-1.560	0.120
K₁	0.058	0.012	0.372	4.864	0.000
K₂	4.035	0.962	0.377	4.196	0.000
K₃	0.687	0.435	0.052	1.580	0.115
L₁	-0.728	0.634	-0.075	-1.148	0.252
L₂	-50.746	25.148	-0.208	-2.018	0.045
A₁	1304.992	189.782	0.295	6.876	0.000
A₂	1507.489	249.480	0.319	6.043	0.000
A₃	-2758.643	1232.323	-0.099	-2.239	0.026

中国地级以上城市工业创新效率空间格局研究

Spatial Pattern of Industrial Innovation Efficiency for Chinese Cities at Prefecture Level and Above

RichHTML

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 5

参考文献 23

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	张衔春, 胡国华, 单卓然, 李禕. 中国城市区域治理的尺度重构与尺度政治[J]. 地理科学, 2021, 41(1): 100-108.
[2]	张景奇, 史文宝, 修春亮. POI数据在中国城市研究中的应用[J]. 地理科学, 2021, 41(1): 140-148.
[3]	张文忠, 何炬, 谌丽. 面向高质量发展的中国城市体检方法体系探讨[J]. 地理科学, 2021, 41(1): 1-12.
[4]	方远平, 陆莲芯, 毕斗斗, 彭婷. 珠江三角洲港资服务业企业的空间格局及影响因素研究[J]. 地理科学, 2020, 40(9): 1421-1428.
[5]	胡语宸, 刘艳军, 孙宏日. 城市增长与收缩的演变过程及其影响因素[J]. 地理科学, 2020, 40(9): 1450-1459.
[6]	郭艳花, 梅林, 佟连军. 产业集聚对绿色发展效率的影响机制[J]. 地理科学, 2020, 40(9): 1484-1492.
[7]	王松茂, 褚玉静, 郭安禧, 郭英之. “一带一路”沿线重点省份旅游经济高质量发展研究[J]. 地理科学, 2020, 40(9): 1505-1512.
[8]	王成新, 窦旺胜, 程钰, 刘凯. 快速城市化阶段济南城市空间扩展及驱动力研究[J]. 地理科学, 2020, 40(9): 1513-1521.
[9]	王波, 甄峰, 孙鸿鹄. 基于社交媒体签到数据的城市居民暴雨洪涝响应时空分析[J]. 地理科学, 2020, 40(9): 1543-1552.
[10]	庄德林, 王鹏鹏, 许基兰, 张菂. 中国创业投资城市网络空间结构演变研究[J]. 地理科学, 2020, 40(8): 1256-1265.
[11]	孙威, 王晓楠, 盛科荣. 基于文献计量方法的国内外城市更新比较研究[J]. 地理科学, 2020, 40(8): 1300-1309.
[12]	姜莉莉, 袁家冬, 邸玉双, 刘永琪. 吉林省城市空间结构及地方中心城市腹地范围界定[J]. 地理科学, 2020, 40(8): 1319-1327.
[13]	王富喜. 山东半岛城市群人口−土地城镇化质量测度与协调发展研究[J]. 地理科学, 2020, 40(8): 1345-1354.
[14]	郭建科, 吴陆陆, 李博, 秦娅风. 多功能视角的沿海港口城市体系位序规模结构及耦合类型[J]. 地理科学, 2020, 40(7): 1050-1061.
[15]	仇方道, 张春丽, 郭梦梦, 郑紫颜, 单勇兵. 中国再生性资源型城市创新能力与工业转型耦合协调分析[J]. 地理科学, 2020, 40(7): 1092-1103.