英文标题：
《Evolution and structure of technological systems - An innovation output
  network》
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作者：
Josef Taalbi
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最新提交年份：
2018
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英文摘要：
  This study examines the network of supply and use of significant innovations across industries in Sweden, 1970-2013. It is found that 30% of innovation patterns can be predicted by network stimulus from backward and forward linkages. The network is hierarchical, characterized by hubs that connect diverse industries in closely knitted communities. To explain the network structure, a preferential weight assignment process is proposed as an adaptation of the classical preferential attachment process to weighted directed networks. The network structure is strongly predicted by this process where historical technological linkages and proximities matter, while human capital flows and economic input-output flows have conflicting effects on link formation. The results are consistent with the idea that innovations emerge in closely connected communities, but suggest that the transformation of technological systems are shaped by technological requirements, imbalances and opportunities that are not straightforwardly related to other proximities.
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中文摘要：
本研究考察了1970-2013年瑞典各行业重大创新的供应和使用网络。研究发现，30%的创新模式可以通过后向和前向联系的网络刺激进行预测。该网络是分级的，其特点是枢纽连接紧密联系的社区中的不同行业。为了解释网络结构，提出了一种优先权分配过程，作为经典优先依附过程对加权有向网络的适应。这一过程有力地预测了网络结构，其中历史技术联系和近邻很重要，而人力资本流动和经济投入产出流动对联系的形成有着相互冲突的影响。研究结果与创新出现在紧密联系的社区的想法一致，但表明技术体系的变革是由技术需求、不平衡和机会决定的，这些因素与其他近邻没有直接的联系。
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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