相关多样化、非相关多样化与区域创新产出——以长三角地区为例

doi:10.13959/j.issn.1003-2398.2020.05.013

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摘要创新是当今区域经济增长的关键驱动力之一，区域多样化与区域发展之关联是经济地理学研究的重要议题。目前国内的创新来源逐渐从外部知识引进为主向依靠区域自身创新能力为主转变，即重视本地知识结构对创新产出的重要影响。然而，现有研究主要关注多样化对区域经济发展的影响，较少分析多样化对区域创新产出的影响，也很少涉及多样化对邻近地区创新产出的空间效应。为此，本文构建了分析相关多样化和非相关多样化对区域创新产出影响的理论框架，并基于2011—2016年长三角地区26个地级市IPC分类专利的面板数据，运用空间杜宾模型，分析了本地知识结构的多样化对区域创新产出的影响。研究发现：①长三角城市群内部相关多样化与非相关多样化格局相似，省际间呈现沿海高内部低、省内呈现中心城市高周围城市低的空间格局。②知识相关多样化能够促进地方创新产出，而非相关多样化与地方创新产出之间呈现倒U型关系，即区域过度的非相关多样化对其创新产出有负向影响。③本地创新受相邻地区相关多样化的负向影响。本文对长三角区域创新机理的研究对于丰富我国创新地理学的理论与应用具有重要意义。

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	高旻昱
	曾刚
	王丰龙

关键词 ：相关多样化, 非相关多样化, 区域创新, 空间杜宾模型, 长三角

Abstract：Based on previous studies in economic geography, this paper investigates the effects of related and unrelated variety on regional innovation outputs of 26 cities in the Yangtze River Delta, China. The data is mainly from city-level patent application data from 2011 to 2016 collected from SIPO (Chinese State Intellectual Property Office). Related and unrelated variety are measured by entropy index which is first proposed by Frenken et al. in 2007. The effects of related and unrelated variety on regional innovation performance are estimated with spatial Durbin model. The results indicate that: 1) The related variety pattern of the Yangtze river delta city cluster is similar to that of the unrelated variety pattern. 2) Related variety has significantly positive effect on innovation output, suggesting that related variety can facilitate knowledge production and spillover; 3) We find a spatial effect that related variety of adjacent cities has a marginally negative impact on local innovation performance.

Key words： related variety unrelated variety regional innovation spatial Durbin model Yangtze River Delta

收稿日期: 2019-12-29

PACS:

K902

基金资助:城市群系统演化与可持续发展的决策模拟研究北京市重点实验室2019年度开放基金（MCR2019QN01）；中央高校基本科研业务费专项资金资助；教育部人文社会科学重点研究基地重大项目（17JJD790006）

通讯作者: 王丰龙(1988-),男,内蒙古赤峰人,教授,主要研究方向为政治地理学、创新地理学和幸福地理学。E-mail:wfldragon@163.com。 E-mail: wfldragon@163.com

作者简介: 高旻昱(1995-),女,上海人,硕士研究生,主要研究方向为产业集群与创新地理。E-mail:acegaominyu@163.com。

引用本文:

高旻昱, 曾刚, 王丰龙. 相关多样化、非相关多样化与区域创新产出——以长三角地区为例[J]. 人文地理, 2020, 35(5): 103-110. GAO Min-yu, ZENG Gang, WANG Feng-long. RELATED, UNRELATED VARIETY AND REGIONAL INNOVATION OUTPUT: A CASE STUDY OF YANGTZE RIVER DELTA. HUMAN GEOGRAPHY, 2020, 35(5): 103-110.

链接本文:

http://rwdl.xisu.edu.cn/CN/10.13959/j.issn.1003-2398.2020.05.013 或 http://rwdl.xisu.edu.cn/CN/Y2020/V35/I5/103

[1]	成长春.长江经济带协调性均衡发展的战略构想[J].南通大学学报(社会科学版),2015,31(1):1-8.[Cheng Changchun. The overall framework and strategy of the Yangtze River Economic Zone's coordinated equilibrium development[J]. Journal of Nantong University (Social Sciences Edition), 2015,31(1):1-8.]
[2]	贺灿飞,谢秀珍.中国制造业地理集中与省区专业化[J].地理学报, 2006,61(2):212-222.[He Canfei, Xie Xiuzhen. Geographical concentration and provincial specialization of Chinese manufacturing industries[J]. Acta Geographica Sinica, 2006,61(2):212-222.]
[3]	周灿,曾刚.经济地理学视角下产业集群研究进展与展望[J].经济地理,2018,38(1):11-19.[Zhou Can, Zeng Gang. Progress and prospect of international research on industrial cluster:A perspective from economic geography[J]. Economic Geography, 2018,38(1):11-19.]
[4]	Boschma R. Proximity and innovation:A critical assessment[J]. Regional Studies, 2005,39(1):61-74.
[5]	Frenken K, Van Oort F, Verburg T. Related variety, unrelated variety and regional economic growth[J]. Regional Studies, 2007,41(5):685-697.
[6]	Boschma R, Iammarino S. Related variety, trade linkages, and regional growth in Italy[J]. Economic Geography, 2009,85(3):289-311.
[7]	Hidalgo C A, Hausmann R. The building blocks of economic complexity[J]. Proceedings of the National Academy of Sciences of the United States of America, 2009,106(26):10570-10575.
[8]	孙晓华,柴玲玲.相关多样化、无关多样化与地区经济发展——基于中国282个地级市面板数据的实证研究[J].中国工业经济,2012(6):5-17.[Sun Xiaohua, Chai Linging. Related diversification, unrelated diversification and regional economic development:Evidences from panel data on China's 282 prefecture-level city[J]. China Industrial Economics, 2012(6):5-17.]
[9]	魏玮,周晓博,牛林祥.产业多样化、职能专业化与城市经济发展——基于长三角和中原城市群面板数据的分析[J].财经论丛,2015(11):3-9.[Wei Wei, Zhou Xiaobo, Niu Linxiang. Industrial diversification, functional specialization and urban economic development:An empirical analysis based on the panel data of Yangtze River Delta and Zhongyuan urban agglomeration[J]. Collected Essays on Finance and Economics, 2015(11):3-9.]
[10]	刘修岩,吴燕.出口专业化、出口多样化与地区经济增长——来自中国省级面板数据的实证研究[J].管理世界,2013(8):30-40.[Liu Xiuyan, Wu Yan. The specialization of export, the diversification of export, and the growth of the regional economy:A case study based on the panel data of china's provinces and cities of the provincial levels[J]. Management World, 2013(8):30-40.]
[11]	李振发,贺灿飞,黎斌.中国出口产品地区专业化[J].地理科学进展, 2018,37(7):963-975.[Li Zhenfa, He Canfei, Li Bin. Regional specialization of China's export products[J]. Progress in Geography, 2018,37(7):963-975.]
[12]	Boschma R, Balland P A, Kogler D F. Relatedness and technological change in cities:The rise and fall of technological knowledge in US metropolitan areas from 1981 to 2010[J]. Industrial and Corporate Change, 2015,24(1):223-250.
[13]	Neffke F, Henning M, Boschma R. How do regions diversify over time? Industry relatedness and the development of new growth paths in regions[J]. Economic Geography, 2011,87(3):237-265.
[14]	Aarstad J, Kvitastein O A, Jakobsen S E. Related and unrelated variety as regional drivers of enterprise productivity and innovation:A multilevel study[J]. Research Policy, 2016,45(4):844-856.
[15]	Ejermo O. Technological diversity and Jacobs' externality hypothesis revisited[J]. Growth and Change, 2005,36(2):167-195.
[16]	Huallachain B O, Lee D S. Technological specialization and variety in urban invention[J]. Regional Studies, 2011,45(1):67-88.
[17]	Kogler D, Rigby D, Tucker I. Mapping knowledge space and technological relatedness in US cities[J]. European Planning Studies, 2013,21(9):1374-1391.
[18]	苏楠,肖晓勇,宋来胜.外部知识、本地知识多样化类型对地区创新能力影响的实证研究——基于2000年-2011年的动态面板数据的广义矩分析[J].经济经纬,2016,33(5):19-23.[Su Nan, Xiao Xiaoyong, Song Laisheng. The impacts of external and different types of knowledge diversity to the regional innovative ability:GMM estimation based on dynamic panel-data model during 2000-2011[J]. Economic Survey, 2016,33(5):19-23.]
[19]	Cooke P. To construct regional advantage from innovation systems first build policy platforms[J]. European Planning Studies, 2007,15(2):179-194.
[20]	Desrochers P, Leppala S. Industrial symbiosis:Old wine in recycled bottles? Some perspective from the history of economic and geographical thought[J]. International Regional Science Review, 2010, 33(3):338-361.
[21]	曾刚,王丰龙.长三角区域城市一体化发展能力评价及其提升策略[J].改革,2018(12):103-111.[Zeng Gang, Wang Fenglong. Evaluation and promotion strategies of urban integration development capability in the Yangtze River Delta region[J]. Reform, 2018(12):103-111.]
[22]	Essletzbichler J. Relatedness, industrial branching and technological cohesion in US metropolitan areas[J]. Regional Studies, 2015, 49(5):752-766.
[23]	Krugman P. Increasing returns and economic-geography[J]. Journal of Political Economy, 1991,99(3):483-499.
[24]	Marshall A. Principles of Economics[M]. London:Macmillan, 1890:6-13.
[25]	Jacobs J. The Economies of Cities[M]. New York:Vintage Books, 1969:55-57.
[26]	Castaldi C, Frenken K, Los B. Related variety, unrelated variety and technological breakthroughs:An analysis of us state-level patenting[J]. Regional Studies, 2015,49(5):767-781.
[27]	Balland P A, Boschma R, Crespo J, et al. Smart specialization policy in the European Union:Relatedness, knowledge complexity and regional diversification[J]. Regional Studies, 2019,53(9):1252-1268.
[28]	赵落涛,曹卫东,魏冶,等.泛长三角人口流动网络及其特征研究[J]. 长江流域资源与环境,2018,27(4):705-714.[Zhao Luotao, Cao Weidong, Wei Ye, et al. A study on population flow network and its characteristics in Pan-Yangtze River Delta[J]. Resources and Environment in the Yangtze Basin, 2018,27(4):705-714.]
[29]	Van Stel A J, Nieuwenhuijsen H R. Knowledge spillovers and economic growth:An analysis using data of Dutch regions in the period 1987-1995[J]. Regional Studies, 2004,38(4):393-407.
[30]	毛琦梁,王菲.地区比较优势演化的空间关联:知识扩散的作用与证据[J].中国工业经济,2018(11):136-154.[Mao Qiliang, Wang Fei. Spatial correlation in evolution of regional comparative advantages:Evidence on the impact of knowledge diffusion[J]. China Industrial Economics, 2018(11):136-154.]
[31]	Ward M D, Gleditsch K S. Spatial Regression Models[M]. New York:Sage Publications, 2008:35-86.
[32]	Jaffe A B, Trajtenberg M, Henderson R. Geigraphic localization of knowledge spillovers as evidenced by paten citations[J]. Quarterly Journal of Economics, 1993,108(3):577-598.
[33]	Hall B, Trajtenberg M, Jaffe A B. The NBER Patent Citation Data File:Lessons, Insights and Methodological Tools[M]. MA:MIT Press, 2002:403-459.
[34]	Bartholomew D J, Theil H. Statistical decomposition analysis with application in the social and administrative sciences[J]. Journal of the Royal Statistical Society, 1973,136(3):462.
[35]	王丰龙,曾刚,周灿,等.中国地方政府科技财政支出对企业创新产出的影响研究——来自工业企业数据库的证据[J].地理科学, 2017,37(11):1632-1639.[Wang Fenglong, Zeng Gang, Zhou Can, et al. Effects of local expenditure for science and technology on firm innovation:Evidence from chinese industrial enterprises database[J]. Scientia Geographica Sinica, 2017,37(11):1632-1639.]
[36]	Feldman M P. Location and innovation:The new economic geography of innovation, spillovers, and agglomeration[J]. The Oxford Handbook of Economic Geography, 2000(1):373-395.
[37]	李二玲,崔之珍.中国区域创新能力与经济发展水平的耦合协调分析[J].地理科学,2018,38(9):1412-1421.[Li Erling, Cui Zhizhen. Coupling coordination between China's regional innovation capability and economic development[J]. Scientia Geographica Sinica, 2018,38(9):1412-1421.]
[38]	Cortinovis N, van Oort F. Variety, economic growth and knowledge intensity of European regions:A spatial panel analysis[J]. Annals of Regional Science, 2015,55(1):7-32.
[39]	刘修岩,王璐.集聚经济与企业创新——基于中国制造业企业面板数据的实证研究[J].产业经济评论,2013,12(3):35-53.[Liu Xiuyan, Wang Lu. Agglomeration economics and firm innovation practices:Evidence from chinese manufacturing enterpris[J]. Review of Industrial Economics, 2013,12(3):35-53.]
[40]	汪浩瀚,徐建军.市场潜力、空间溢出与制造业集聚[J].地理研究, 2018,37(9):1736-1750.[Wang Haohan, Xu Jianjun. Market potential, spatial spillover and manufacturing industry agglomeration[J]. Geographical Research, 2018,37(9):1736-1750.]
[41]	Broekel T, Boschma R. Knowledge networks in the Dutch aviation industry:The proximity paradox[J]. Journal of Economic Geography, 2012,12(2):409-433.
[42]	Lang L H P, Stulz R M. Tobin's q, corporate diversification, and firm performance[J]. Journal of Political Economy, 1994,102(6):1248-1280.
[43]	Lin L, Wang F. Geographical proximity vs network tie:Innovation of equipment manufacturing firms in Shanghai, China[J]. Erdkunde, 2019,73(3):185-198.