首页|中国城市技术转移网络演化的内生机制及空间差异研究

中国城市技术转移网络演化的内生机制及空间差异研究

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技术知识成为新时期区域创新发展的关键要素,探究技术转移网络生长发育内在机制对于提高区域创新活力具有重要意义.本文基于2001—2020年中国专利权转移数据构建了4个时段的城市技术转移网络,并采用社会网络分析法和随机行动者模型,研究了中国城市技术转移网络演化的内生机制及空间差异.研究发现:①中国城市技术转移网络的演化格局具有明显的"核心—边缘"结构特征.网络整体表现出较强的极化特征,但这种极化性有逐渐下降的态势.同时围绕着核心城市,大量涌现的三方关系在影响链接关系形成的同时,也进一步促成了网络局部等级的分化;②内生结构动力是中国城市技术转移网络生长发育的关键因素.互惠链接和网络闭合构成了城市技术转移网络演化的微观基础;偏好依附是强化城市技术转移网络链接关系的关键力量;③中国城市技术转移网络演化的内生机制具有明显的空间异质性特征.东部南方区城市技术转移网络具有较强的动态性,互惠链接、网络闭合和偏好依附成为技术转移网络生长发育的内生结构动力;东部北方区网络演化速率呈现出下降的趋势,互惠链接和偏好依附促成了网络链接格局的形成;西北内陆和青藏高原区网络演化速率趋于上升,但网络密度小,仅有互惠效应显著.
Endogenous Mechanisms and Spatial Differences of the Evolution of Urban Technology Transfer Network in China
Technological knowledge has become the key element of regional innovation and development in the new era. Exploring the inherent mechanism of the growth and development of technology transfer network is of great significance to improve the vitality of regional innovation. However,the endogenous mechanisms and spatial differences of technology transfer network evolution is rarely studied. This study aims to gain a better understanding of the growth and development process of urban technology transfer networks in China and their spatial differences. First,this paper takes 282 cities of China as research units. Second,information on patent transferred data is subjected to ownership linkage mode to construct the urban technology transfer network,resulting in a panel dataset of 282 cities in China in 2001—2020. Finally,stochastic actor-oriented models for the evolution of networks are constructed to study the evolution of technology transfer networks and spatial heterogeneity. Results show that:(1) The evolution pattern of urban technology transfer network in China presents a "core-periphery" structure. The network exhibits strong polarization characteristics,but it is decreasing gradually. The increasingly complex tripartite relationship between cities is an important feature of network evolution. These tripartite relations not only affect the formation of link relations but also promote the differentiation of local levels of the network;(2) Endogenous structural factors are the key factors for the growth and development of urban technology transfer network in China. Reciprocity and network closure constitute the micro basis of the evolution of urban technology transfer network. Path dependence is a key force in strengthening the link relationship between urban technology transfer networks;(3) The endogenous mechanism of the evolution of urban technology transfer network in China has obvious spatial heterogeneity. In the southern region of eastern China,the urban technology transfer network has strong dynamics. Reciprocity,network closure,and path dependence have become the endogenous driving forces for the growth and development of technology transfer networks. In the northern region of eastern China,the evolution rate of the network shows a downward trend. Reciprocity and path dependence contribute to the formation of network link pattern. In the northwest inland and the Qinghai-Tibet Plateau,the network evolution rate tends to increase,but the network density is small,and only the reciprocity effect is significant. This paper will deepen the understanding of the evolution law of urban networks and provide a scientific reference for China's urban innovation and development policy.

technology transfer networksocial network analysisstochastic actor-oriented modelsnetwork evolutionendogenous mechanismspatial differenceflowing space

李晓瑞、盛科荣、王传阳

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山东理工大学经济学院,淄博255012

技术转移网络 社会网络分析 随机行动者模型 网络演化 内生机制 空间差异 流动空间

国家自然科学基金项目山东省自然科学基金面上项目

42371209ZR2023MD049

2024

地球信息科学学报
中国科学院地理科学与资源研究所

地球信息科学学报

CSTPCD北大核心
影响因子:1.004
ISSN:1560-8999
年,卷(期):2024.26(7)
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