基于行业知识基础的特色农业集群技术创新网络演化——鄢陵花木和烟台葡萄酒产业集群对比研究  

Evolution of Technology Innovation Network of Characteristic Agricultural Clusters Based on the Industry Knowledge Base:Comparative Analysis of Yanling Floriculture and Yantai Wine Industry Clusters

作　　者：胥亚男 李二玲[2] XU Yanan;LI Erling(College of Resources and Environment/Collaborative Innovation Center of Urban-Rural Coordinated Development/Academician Laboratory for Urban and Rural Spatial Data Mining,Henan University of Economics and Law,Zhengzhou 450046,Henan,China;Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions(Ministry of Education),Henan University,Kaifeng 475004,Henan,China)

机构地区：[1]河南财经政法大学资源与环境学院/城乡协调发展河南省协同创新中心/河南省城乡空间数据挖掘院士工作站,中国河南郑州450046 [2]河南大学黄河中下游数字地理技术教育部重点实验室,中国河南开封475004

出　　处：《经济地理》2023年第10期139-147,共9页Economic Geography

基　　金：国家自然科学基金项目(41971222);河南省重点研发与推广专项(科技攻关)项目(222102110420);河南省高等学校智库研究项目(2022ZKYJ06);河南省自然科学基金项目(222300420104);河南财经政法大学国家一般项目培育项目(803164)。

摘　　要：基于行业知识基础视角,构建理论分析框架,以具有不同知识基础的鄢陵花木和烟台葡萄酒产业集群为例,探讨特色农业集群技术创新网络的演化规律。研究发现:①基于行业知识基础可将特色农业集群划分为综合偏符号和综合偏解析两类。农业产业集群因具有多维邻近性和产业融合特征,其知识基础的内在属性决定了特色农业集群技术创新是以DUI模式为主还是以STI模式为主,进而决定了集群演化过程中技术创新网络结构特征和演化路径。②DUI模式主导下的综合偏符号型(如鄢陵花木产业)集群在“四阶段”集群演化过程中,通过非正式的技术创新联系,推动网络结构由星型—小世界—多核心—多类型协同演变,形成本地嵌入式区域创新系统;STI模式主导下的综合偏解析型(如烟台葡萄酒产业)集群则通过正式的技术创新连接,推动网络结构由极核—核心边缘—本地全球—多类型结构协同演变,形成网络式区域创新系统。③针对不同类型的特色农业集群,创建不同的区域农业创新系统是推动特色农业集群技术创新网络形成并演化的有效手段,并使集群区域最终转变为乡村创新极。④无论是偏符号型还是偏解析型的特色农业集群,均应依托集群知识基础特点,基于集群创新系统理论来制定技术创新政策,以指导优势特色产业集群的建设。Based on the perspective of industry knowledge base,this paper constructs a theoretical analysis framework to explore the law of technological innovation network evolution of characteristic agricultural clusters with different knowledge bases,it takes the Yanling floriculture and Yantai wine industry clusters as examples.The results show that:1)Based on the industry knowledge base,the characteristic agricultural clusters can be classified into two categories:comprehensive partial-symbolic and comprehensive partial-analytic.Due to the multidimensional proximity and industrial integration characteristics of agricultural industry clusters,the intrinsic properties of their knowledge base determine whether technological innovation in characteristic agricultural clusters is dominated by the DUI model or the STI model,which in turn determines the structural characteristics and evolutionary path of technological innovation networks during the evolution of clusters.2)In the evolution process of"four-stage"cluster,the DUI model-dominated comprehensive partial-symbolic clusters(e.g.Yanling floriculture industry)drive the network structure evolution from star structure,small world structure,multi-core structure to multi-type structure through informal technological innovation linkages,and form a locally embedded regional innovation system.The STI model-dominated comprehensive partialanalytic clusters(e.g.Yantai wine industry)evolve from polar core structure,core edges structure,local global structure,multi-type structure through formal technological innovation linkages,and form a networked regional innovation system.3)The creation of different regional agricultural innovation systems for different types of characteristic agricultural clusters is an effective means to promote the formation and evolution of technological innovation networks in characteristic agricultural clusters and the eventual transformation of cluster regions into rural innovation pole.4)Both comprehensive partial-symbolic and comprehensive partial-analyti

关 键 词：行业知识基础 特色农业集群 技术创新网络 DUI STI 创新极 演化 

分 类 号：K902[历史地理—人文地理学]