[1]张 华,孙 鹏.多维邻近性对陕西泾阳茯茶产业集群创新的影响研究[J].南京师大学报(自然科学版),2022,45(02):34-43.[doi:10.3969/j.issn.1001-4616.2022.02.005]
 Zhang Hua,Sun Peng.Research on the Impact of Multidimension Proximity on the Innovation of Jingyang Fu Tea Industrial Cluster in Shaanxi Province[J].Journal of Nanjing Normal University(Natural Science Edition),2022,45(02):34-43.[doi:10.3969/j.issn.1001-4616.2022.02.005]
点击复制

多维邻近性对陕西泾阳茯茶产业集群创新的影响研究()
分享到:

《南京师大学报(自然科学版)》[ISSN:1001-4616/CN:32-1239/N]

卷:
第45卷
期数:
2022年02期
页码:
34-43
栏目:
·地理学·
出版日期:
2022-05-15

文章信息/Info

Title:
Research on the Impact of Multidimension Proximity on the Innovation of Jingyang Fu Tea Industrial Cluster in Shaanxi Province
文章编号:
1001-4616(2022)02-0034-10
作者:
张 华1孙 鹏12
(1.西安外国语大学旅游学院·人文地理研究所,陕西 西安 710128)(2.西安外国语大学陕西旅游研究院,陕西 西安 710128)
Author(s):
Zhang Hua1Sun Peng12
(1.School of Tourism & Research Institute of Human Geography,Xi’an International Studies University,Xi’an 710128,China)(2.Shaanxi Tourism Research Institute,Xi’an International Studies University,Xi’an 710128,China)
关键词:
多维邻近性农业产业集群创新陕西泾阳茯茶
Keywords:
multidimensional proximityagricultural industrial clusterinnovationJingyang Fu Tea in Shaanxi
分类号:
F426.82 F273.1 K902
DOI:
10.3969/j.issn.1001-4616.2022.02.005
文献标志码:
A
摘要:
基于Boschma提出的邻近性理论,以陕西泾阳茯茶产业为例,结合实地调研数据,利用ArcGIS空间分析法、IBM SPSS22.0描述性统计分析法、社会网络分析法并构建多元线性回归模型探究陕西泾阳茯茶产业集群的邻近性特征及邻近性对产业集群创新发展的影响. 研究结果表明:社会邻近性对陕西泾阳茯茶产业集群创新的影响最为显著,其对促进集群内创新氛围形成、提高新知识及新技术在产业集群内部的扩散流通起着明显的正向影响作用; 认知和制度邻近性对陕西泾阳茯茶产业集群的创新有一定正向影响,其影响效果高于地理邻近性,但弱于社会邻近性; 而地理邻近性对陕西泾阳茯茶产业集群创新的影响不显著,过度的地理邻近还会导致企业出现一定程度的“路径锁定”,对产业集群创新发展产生负面影响.
Abstract:
Based on the proximity theory proposed by Boschma,taking Jingyang Fu Tea industry in Shaanxi as an example,combining with field research data,this paper used ArcGIS space analysis,IBM SPSS22.0 descriptive statistical analysis,social network analysis and constructed multivariate linear regression model to explore the adjacent characteristics of Fu Tea industry cluster and its influence on the innovation of industrial cluster. The results show that social proximity has the most significant impact on the innovation of Jingyang Fu Tea industrial cluster in Shaanxi,which plays an obvious positive role in promoting the formation of innovation atmosphere in the cluster and improving the diffusion and circulation of new knowledge and technology within the industrial cluster. Cognitive and institutional proximity have a positive influence on the innovation of Jingyang Fu Tea industrial cluster in Shaanxi. The influence effect is higher than geographical proximity,but weaker than social proximity.However,geographical proximity has no significant effect on the innovation of Jingyang Fu Tea industrial cluster in Shaanxi. Excessive geographical proximity leads to a certain degree of “path locking”of enterprises,which has a negative impact on the innovation and development of industrial clusters.

参考文献/References:

[1] HALL B,ROSENBERG N. The handbook of economics of innovation[M]. Amsterdam:North-Holland Publications,2010.
[2]BOEHLJE M,ROUCAN K M,BRORING S. Future agribusiness challenges:strategic uncertainty,innovation and structural change[J]. International food and agribusiness management review,2011,14(5):53-82.
[3]GUNDAY G,ULUSOY G,KILIC K,et al. Effects of innovation types on firm performance[J]. International journal of production economics,2011,133(2):662-676.
[4]COOKE P,URANGA M G,ETXEBARRIA G. Regional systems of innovation:an evolutionary perspective [J]. Environment and planning A,1998,30(9):1563-1584.
[5]KOFLER I,MARCHER A,VOLGGER M,et al. The special characteristics of tourism innovation networks:the case of the regional innovation system in South Tyrol[J]. Journal of hospitality and tourism management,2018,37:68-75.
[6]DAVIDS M,FRENKEN K. Proximity,knowledge base and the innovation process:towards an integrated framework[J]. Regional studies,2018,52(1):23-34.
[7]ZAMYATINA N Y,PILYASOV A N. Concept of proximity:foreign experience and prospects of application in Russia[J]. Regional research of Russia,2017,7(3):197-207.
[8]叶琴,曾刚,陈弘挺. 组织与认知邻近对东营市石油装备制造业创新网络演化影响[J]. 人文地理,2017,32(1):116-122.
[9]李琳,邓如. 产业生命周期视角下多维邻近性对集群创新的动态影响——以中国电子信息产业集群为例[J]. 软科学,2018,32(8):24-27,62.
[10]周灿. 中国电子信息产业集群创新网络演化研究:格局、路径、机理[D]. 上海:华东师范大学,2018.
[11]史焱文,李二玲,李小建. 地理邻近、关系邻近对农业产业集群创新影响——基于山东省寿光蔬菜产业集群实证研究[J]. 地理科学,2016,36(5):751-759.
[12]NG B K,MAGLI A S,WONG C Y,et al. Localised learning in the Malaysian rice cluster:proximity,social capital and institutional dynamics[J]. International development planning review,2017,39(2):163-185.
[13]GELDES C,FELZENSZTEIN C,TURKINA E,et al. How does proximity affect interfirm marketing cooperation?A study of an agribusiness cluster[J]. Journal of business research,2015,68(2):263-272.
[14]GELDES C,HEREDIA J,FELZENSZTEIN C,et al. Proximity as determinant of business cooperation for technological and non-technological innovations:a study of an agribusiness cluster[J]. Journal of business & industrial marketing,2017,32(1):167-178.
[15]朱纪广,李二玲,史焱文. 农业产业集群发展中的共同演化分析——以鄢陵县花木产业集群为例[J]. 人文地理,2014,29(3):109-114.
[16]史焱文,李二玲,李小建. 农业产业集群创新通道及溢出效应——以山东寿光蔬菜产业集群为例[J]. 地理科学进展,2019,38(6):861-871.
[17]李二玲. 中国农业产业集群演化过程及创新发展机制——以“寿光模式”蔬菜产业集群为例[J]. 地理科学,2020,40(4):617-627.
[18]丁瑞,李同昇,李晓越. 农业产业集群的演化阶段与形成机理分析——以宁夏中宁县枸杞加工产业为例[J]. 干旱区地理,2015,38(1):182-189.
[19]BOSCHMA R. Proximity and innovation:a critical assessment[J]. Regional studies,2005,39(1):61-74.
[20]李琳,韩宝龙. 组织合作中的多维邻近性:西方文献评述与思考[J]. 社会科学家,2009(7):108-112.
[21]KNOBEN J,OERLEMANS L A G. Proximity and inter-organizational collaboration:a literature review[J]. International journal of management reviews,2006,8(2):71-89.
[22]BALLAND P A. Proximity and the evolution of collaboration networks:evidence from research and development projects within the global navigation satellite system(GNSS)industry[J]. Regional studies,2012,46(6):741-756.
[23]POETER M E. Competitive advantage,agglomeration economies,and regional policy[J]. International regional science review,1996,19(1/2):85-90.
[24]HARDEMAN S,FRENKEN K,NOMALER O,et al. Characterizing and comparing innovation systems by different‘modes’of knowledge production:a proximity approach[J]. Science and public policy,2015,42(4):530-548.
[25]BROEKEL T,BOSCHMA R. Knowledge networks in the Dutch aviation industry:the proximity paradox[J]. Journal of economic geography,2012,12(2):409-433.
[26]NOOTEBOOM B. Innovation and inter-firm linkages:new implications for policy[J]. Research policy,1999,28(8):793-805.
[27]CASSI L,PLUNKET A. Proximity,network formation and inventive performance:in search of the proximity paradox[J]. The annals of regional science,2014,53(2):395-422.
[28]BELL G G,ZAHEER A. Geography,networks,and knowledge flow[J]. Organization science,2007,18(6):955-972.
[29]BOSCHMA R,FRENKEN K. The handbook of evolutionary economic geography[M]. Cheltenham,UK:Edward Elgar Publishing,2010.
[30]COATES D. Varieties of capitalism:the institutional foundations of comparative advantage[J]. American political science review,2002,96(3):661-662.
[31]赵逸靖. 广州生物医药集群合作创新网络动态演化研究[D]. 广州:广州大学,2019.

备注/Memo

备注/Memo:
基金项目:国家自然科学基金青年基金资助项目(42001132)、陕西省软科学研究计划项目(2021KRM152)、西安外国语大学研究生科研基金项目(SYJS201828).
通讯作者:孙鹏,博士,教授,研究方向:产业集群与区域发展、旅游规划与管理等. E-mail:sunpeng@xisu.edu.cn
更新日期/Last Update: 1900-01-01