长三角地区复杂知识的空间特征及地方知识库类型

知识基础是技术变革和经济长期发展的关键驱动力。已有研究也证明了不同知识类型的价值具有差异。然而在经济地理学领域,常常因知识的质量难以量化而将研究停留在知识投入-产出的数量层面。论文以长三角地区为例,基于该地区41个城市的专利数据,对城市和技术的知识复杂度和多样化水平进行量化,并分析城市-技术知识网络的空间格局和网络结构。研究发现：长三角地区的知识复杂度存在空间异质性,最复杂的技术仅由少数城市生产;从知识库的多样性和知识复杂度2个维度对城市进行类型划分,获得创新型、赌博型、后进型和锁定型4种区域知识库类型,并基于区域知识库异质性提出针对性的区域发展建议。

Geography of complex knowledge and types of local knowledge pool in the Yangtze River Delta

There is a consensus that cumulative knowledge is a key driver of technological revolution and long-run economic growth. In addition, the literature has shown that not all knowledge has the same value. However, we have been obsessed with counting knowledge inputs and outputs rather than assessing the quality of knowledge produced simply because the quality of knowledge is difficult to quantify. In this study, we examined the city-technology (dual-mode) network in the Yangtze River Delta, measured the knowledge complexity, mapped the distribution of knowledge complexity, and distinguished different types of knowledge pool. The result shows that knowledge complexity is unevenly distributed across the Yangtze River Delta. The most complicated technologies are produced only by a few cities. According to knowledge diversity and knowledge complexity, the local knowledge pool can be classified into four types: the innovative type, the Casino type, the slow catch-up type, and the locked-in type. We underlined further the need for a region-specific focus by identifying the type of local knowledge pool.